Expert Systems - The Journal of Knowledge Engineering, Volume 39

Volume 39, Number 1, January 2022

Review

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  Mohd Saqib Akhoon, Shahrel Azmin Suandi, Abdullah S. Alshahrani, Abdul-Malik H. Y. Saad, Fahad R. Albogamy, Mohd Zaid Bin Abdullah, Sajad A. Loan:
  High performance accelerators for deep neural networks: A review.

Original Articles

• 
  Achukatla Valli Bhasha, Balam Diguvathattu Venkatramana Reddy:
  Image super resolution model enabled by wavelet lifting with optimized deep convolutional neural network.
• 
  Mahdie Eghdami, Hadi Sadoghi Yazdi, Neshat Salehi:
  Sparsity-aware support vector data description reinforced by expectation maximization.
• 
  Javad Forough, Saeedeh Momtazi:
  Sequential credit card fraud detection: A joint deep neural network and probabilistic graphical model approach.
• 
  Amit K. Chattopadhyay, Subhagata Chattopadhyay:
  VIRDOCD: A VIRtual DOCtor to predict dengue fatality.
• 
  Bui Hai Phong, Thang Manh Hoang, Thi-Lan Le:
  An end-to-end framework for the detection of mathematical expressions in scientific document images.
• 
  Biswajit Sarkar, Animesh Biswas:
  A multi-criteria decision making approach for strategy formulation using Pythagorean fuzzy logic.
• 
  Kuldeep Singh, Chhavi Dhiman, Dinesh Kumar Vishwakarma, Himanshu Makhija, Gurjit Singh Walia:
  A sparse coded composite descriptor for human activity recognition.
• 
  Vidhushavarshini Sureshkumar, Sathiyabhama Balasubramaniam, Vinayakumar Ravi, Ajay Arunachalam:
  A hybrid optimization algorithm-based feature selection for thyroid disease classifier with rough type-2 fuzzy support vector machine.
• 
  Chen Guo, Heng Tang, Ben Niu:
  Evolutionary state-based novel multi-objective periodic bacterial foraging optimization algorithm for data clustering.
• 
  Kulanthaivel Balakrishnan, R. Dhanalakshmi, Utkarsh Mahadeo Khaire:
  Analysing stable feature selection through an augmented marine predator algorithm based on opposition-based learning.
• 
  Michela Ponticorvo, Massimiliano Schembri, Orazio Miglino:
  Training and assessing numerical abilities across the lifespan with intelligent systems: The example of Baldo.
• 
  Ying Yu, Hao Huang:
  Eliciting symptom-diagnosis knowledge from online medical Q&A.
• 
  Abhijit Roy, Bikesh Kumar Singh, Sumit K. Banchhor, Kesari Verma:
  Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis.
• 
  Chandra Mohan Dasari, Raju Bhukya:
  MapReduce paradigm: DNA sequence clustering based on repeats as features.
• 
  Alfredo S. Ramos, Elías Olivares Benítez, Pablo A. Miranda Gonzalez:
  Multi-start iterated local search metaheuristic for the multi-mode resource-constrained project scheduling problem.
• 
  Min Seok Lee, Seok Woo Yang, Hong Joo Lee:
  Weight attention layer-based document classification incorporating information gain.
• 
  Beatriz López, Ferran Torrent-Fontbona, Luis Masana Marín, Alberto Zamora:
  HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment.
• 
  Chakradhar Pabba, Praveen Kumar:
  An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition.

Volume 39, Number 2, February 2022

Risk Analytics and Service Engineering

• 
  Desheng Dash Wu, Jon Hall:
  Expert systems and risk analytics in service engineering.
• 
  Cuicui Luo:
  A comparison analysis for credit scoring using bagging ensembles.
• 
  Sayed Shahab Amelian, Seyed Mojtaba Sajadi, Mehrzad Navabakhsh, Majid Esmaelian:
  Multi-objective optimization for stochastic failure-prone job shop scheduling problem via hybrid of NSGA-II and simulation method.
• 
  Hong Lu, Fei Qiao:
  An efficient adaptive genetic algorithm for energy saving in the hybrid flow shop scheduling with batch production at last stage.
• 
  Xin Liu, Jingkai Huang:
  China's high-tech industry efficiency measurement with virtual frontier data envelopment analysis and Malmquist productivity index.

Big Data in Transportation

• 
  Baloka Belezamo, Süleyman Eken, Cafer Avci:
  Special issue on big data in transportation.
• 
  Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara:
  A horizontal partitioning-based method for frequent pattern mining in transport timetable.
• 
  Zain Ul Abideen, Heli Sun, Zhou Yang, Hamza Fahim:
  Regional-based multi-module spatial-temporal networks predicting city-wide taxi pickup/dropoff demand from origin to destination.
• 
  Fethullah Gocer, Nazmi Sener:
  Spherical fuzzy extension of AHP-ARAS methods integrated with modified k-means clustering for logistics hub location problem.
• 
  Iván García Aguilar, Rafael Marcos Luque Baena, Ezequiel López-Rubio:
  Improved detection of small objects in road network sequences using CNN and super resolution.

Original Articles

• 
  Meisheng Liu, Desheng Wu:
  Productivity measurement of industrial sector in China regarding air pollution.
• 
  Aneirson Francisco da Silva, Fernando Augusto Silva Marins, Erica Ximenes Dias, Rafael de Carvalho Miranda:
  Goal programming and multiple criteria data envelopment analysis combined with optimization and Monte Carlo simulation: An application in railway components.
• 
  Sachin Minocha, Birmohan Singh:
  A novel equilibrium optimizer based on levy flight and iterative cosine operator for engineering optimization problems.
• 
  Jae Kyeong Kim, Chang Geun Jeong, Qinglong Li, Il Young Choi:
  The demand effect analysis of head books and tail books in book recommendation networks.
• 
  Manuel Mora, Fen Wang, Jorge Marx Gómez, Gloria E. Phillips-Wren:
  Development methodologies for ontology-based knowledge management systems: A review.
• 
  Zhehong Xiang, Guo Zhou, Yongquan Zhou, Qifang Luo:
  Golden sine cosine SALP swarm algorithm for shape matching using atomic potential function.
• 
  Kökten Ulas Birant:
  Multi-view rank-based random forest: A new algorithm for prediction in eSports.
• 
  Abdul Wahid, Annavarapu Chandra Sekhara Rao:
  RDOF: An outlier detection algorithm based on relative density.
• 
  Vinayakumar Ravi, Vasundhara Acharya, Tuan D. Pham:
  Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification.
• 
  Jun Liu, Shengkai Zhang, Yan Tu, Liang Li, Zongmin Li:
  Improved multi-criteria group decision-making method considering hesitant fuzzy preference relations with self-confidence behaviours for environmental pollution emergency response process evaluation.

Volume 39, Number 3, March 2022

Deep Neural Networks for Biomedical Data and imaging

• 
  Deepak Gupta, Utku Kose, Oscar Castillo:
  Special issue on deep neural networks for biomedical data and imaging.
• 
  Pir Masoom Shah, Hamid Ullah, Rahim Ullah, Dilawar Shah, Yulin Wang, Saif ul Islam, Abdullah Gani, Joel J. P. C. Rodrigues:
  DC-GAN-based synthetic X-ray images augmentation for increasing the performance of EfficientNet for COVID-19 detection.
• 
  Neha Yadav, Sk Md Alfayeed, Aditya Khamparia, Babita Pandey, Dang N. H. Thanh, Sagar Pande:
  HSV model-based segmentation driven facial acne detection using deep learning.
• 
  Hui Wen Loh, Ooi Chui Ping, Emrah Aydemir, Turker Tuncer, Sengül Dogan, U. Rajendra Acharya:
  Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals.
• 
  Basetty Mallikarjuna, Gulshan Shrivastava, Meenakshi Sharma:
  Blockchain technology: A DNN token-based approach in healthcare and COVID-19 to generate extracted data.
• 
  Romany Fouad Mansour, Nada M. Alfaer, Sayed Abdel-Khalek, Maha S. Abdelhaq, Rashid A. Saeed, Raed A. Alsaqour:
  Optimal deep learning based fusion model for biomedical image classification.
• 
  Jianpeng Yuan, Wensheng Huang, Yongshun Wu, Long Liu, Chao Bu, Shuqiang Wang, Weidong Zhang:
  Predictive effect of computed tomography imaging omics features under deep learning on metastatic lymph nodes of nasopharyngeal carcinoma.

Covid-19 Special Issue: Intelligent solutions for Computer Communication-Assisted Infectious disease Diagnosis

• 
  Fadi Al-Turjman:
  COVID-19 special issue: Intelligent solutions for computer communication-assisted infectious disease diagnosis.
• 
  Chandrakanta Mahanty, Raghvendra Kumar, Brojo Kishore Mishra, D. Jude Hemanth, Deepak Gupta, Ashish Khanna:
  Prediction of COVID-19 active cases using exponential and non-linear growth models.
• 
  Shouqin Jia, Ying Wang, Wuzhang Wang, Qiang Zhang, Xu Zhang:
  Value of medical imaging artificial intelligence in the diagnosis and treatment of new coronavirus pneumonia.
• 
  Wengang Qiu, Jun Xie, Yi Shen, Jiang Xu, Jun Liang:
  Endoscopic image recognition method of gastric cancer based on deep learning model.
• 
  Ye Tian, Zheng Chu, Gang Ma:
  Fuzzy logic control theory in clinical anesthesia.
• 
  Jinxia He, Kaifeng Zhang:
  Medical image analysis of multiple myeloma based on convolutional neural network.
• 
  Binjun He, Wenbin Hu, Kang Zhang, Shunda Yuan, Xiaoliang Han, Chao Su, Jiaming Zhao, Guzong Wang, Guoxia Wang, Liuya Zhang:
  Image segmentation algorithm of lung cancer based on neural network model.
• 
  Chonggen Huang, Zaiqiu Gu, Zhigang Jia, Jiong Yan:
  Clinical study of serum procalcitonin in the early diagnosis of burns and sepsis under the background of healthy clouds.
• 
  Senthil Kumaran Varadharajan, Viswanathan Nallasamy:
  P-SCADA - A novel area and energy efficient FPGA architectures for LSTM prediction of heart arrthymias in biot applications.

Survey Article

• 
  Janmenjoy Nayak, Manohar Mishra, Bighnaraj Naik, Hanumanthu Swapnarekha, Korhan Cengiz, Vimal Shanmuganathan:
  An impact study of COVID-19 on six different industries: Automobile, energy and power, agriculture, education, travel and tourism and consumer electronics.

Original Articles

• 
  Yu-Dong Zhang, Suresh Chandra Satapathy, Shui-Hua Wang:
  Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder.
• 
  Ajay Singh, Vaibhav Jindal, Rajinder Sandhu, Victor Chang:
  A scalable framework for smart COVID surveillance in the workplace using Deep Neural Networks and cloud computing.
• 
  Dimple Tiwari, Bhoopesh Singh Bhati, Fadi Al-Turjman, Bharti Nagpal:
  Pandemic coronavirus disease (Covid-19): World effects analysis and prediction using machine-learning techniques.
• 
  Duygu Çelik Ertugrul, Demet Çelik Ulusoy:
  A knowledge-based self-pre-diagnosis system to predict Covid-19 in smartphone users using personal data and observed symptoms.
• 
  Tarjni Vyas, Raj Yadav, Chitra Solanki, Rutvi Darji, Shivani Desai, Sudeep Tanwar:
  Deep learning-based scheme to diagnose Parkinson's disease.
• 
  Sonam Aggarwal, Sheifali Gupta, Adi Alhudhaif, Deepika Koundal, Rupesh Gupta, Kemal Polat:
  Automated COVID-19 detection in chest X-ray images using fine-tuned deep learning architectures.
• 
  Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al-Betar, Iyad Abu Doush, Mohammed A. Awadallah, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Karrar Hameed Abdulkareem, Afzan Adam, Robertas Damasevicius, Mazin Abed Mohammed, Raed Abu Zitar:
  Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.
• 
  Hemanta Kumar Bhuyan, Chinmay Chakraborty, Yogesh Shelke, Subhendu Kumar Pani:
  COVID-19 diagnosis system by deep learning approaches.
• 
  Guan Wang, Dandan Li, Jinling Ge, Tao Wang:
  Medical informatization of management system for admission office under convolutional neural network.
• 
  Anand Kumar Srivastava, Yugal Kumar, Pradeep Kumar Singh:
  Hybrid diabetes disease prediction framework based on data imputation and outlier detection techniques.
• 
  Ibrahim M. El-Hasnony, Mohamed Elhoseny, Zahraa Tarek:
  A hybrid feature selection model based on butterfly optimization algorithm: COVID-19 as a case study.
• 
  Lipsita Sahu, Rohit Sharma, Ipsita Sahu, Manoja Das, Bandita Sahu, Raghvendra Kumar:
  Efficient detection of Parkinson's disease using deep learning techniques over medical data.
• 
  Ihsan Jasim Hussein, Burhanuddin Mohd Aboobaider, Mazin Abed Mohammed, Narjes Benameur, Marwah Suliman Maashi, Mashael S. Maashi:
  Fully-automatic identification of gynaecological abnormality using a new adaptive frequency filter and histogram of oriented gradients (HOG).
• 
  Malavika Saminathan, Manikandan Ramachandran, Ambeshwar Kumar, Rajkumar Kulandaivel, Ashish Khanna, Prakashkumar Singh:
  A study on specific learning algorithms pertaining to classify lung cancer disease.
• 
  Deepak Kumar Sharma, Parul Lakhotia, Paras Sain, Shikha Brahmachari:
  Early prediction and monitoring of sepsis using sequential long short term memory model.
• 
  Remya Remani Sathyan, Gopakumar Chandrasekhara Menon, Hariharan S, Rakhi Thampi, Jude Hemanth Duraisamy:
  Traditional and deep-based techniques for end-to-end automated karyotyping: A review.
• 
  Enas W. Abdulhay, Maha Alafeef, Hikmat Hadoush, Arunkumar N.:
  Autism diagnosis via correlation between vectors of direct quadrature instantaneous frequency of EEG analytic normalized intrinsic mode functions.
• 
  Aarya Patel, Ankit Vidyarthi:
  PTXNet: An extended UNet model based segmentation of pneumothorax from chest radiography images.
• 
  Prerna Sharma, Kapil Sharma:
  A novel quantum-inspired binary bat algorithm for leukocytes classification in blood smear.
• 
  Auwalu Saleh Mubarak, Sertan Serte, Fadi Al-Turjman, Zubaida Sa'id Ameen, Mehmet Ozsoz:
  Local binary pattern and deep learning feature extraction fusion for COVID-19 detection on computed tomography images.
• 
  Kavita Sharma:
  Internet of healthcare things security vulnerabilities and jamming attack analysis.
• 
  Aodi Sui, Wuyong Qian:
  Intelligent grey forecasting model based on periodic aggregation generating operator and its application in forecasting clean energy.
• 
  José Pereira Delmondes Neto, Ivandré Paraboni:
  Multi-source BERT stack ensemble for cross-domain author profiling.

Volume 39, Number 4, May 2022

Special Issue: Emerging Trends in Internet of Things for ehealth and medical supply chain systems/IWINAC 2019
Emerging Trends in Internet of Things for eHealth and Medical supply Chain Systems

• 
  Victor Chang, Muthu Ramachandran, Chung-Sheng Li:
  Special issue editorial on emerging trends in internet of things for e-health and medical supply chain systems.
• 
  Rathnamma V. Mydukuri, Suresh Kallam, Rizwan Patan, Fadi Al-Turjman, Manikandan Ramachandran:
  Deming least square regressed feature selection and Gaussian neuro-fuzzy multi-layered data classifier for early COVID prediction.
• 
  Sandeep Kumar Sood, Keshav Singh Rawat:
  Fog-assisted virtual reality-based learning framework to control panic.
• 
  Keerthika Periasamy, Suresh Periasamy, Sathiyamoorthi Velayutham, Zuopeng Zhang, Syed Thouheed Ahmed, Anitha Jayapalan:
  A proactive model to predict osteoporosis: An artificial immune system approach.
• 
  Hocine Hamil, Zahia Zidelmal, Mohamed Salah Azzaz, Samir Sakhi, Redouane Kaibou, Salem Djilali, Djaffar Ould Abdeslam:
  Design of a secured telehealth system based on multiple biosignals diagnosis and classification for IoT application.
• 
  Chong Ni Ki, Amin Hosseinian Far, Alireza Daneshkhah, Nader Salari:
  Topic modelling in precision medicine with its applications in personalized diabetes management.

IWINAC 2019

• 
  Mariano Rincón-Zamorano, Rafael Martínez-Tomás, José Manuel Ferrández de Vicente:
  IWINAC'2019: Intelligent systems for cognitive training and assessment.
• 
  Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ariadna Besga:
  Risk factors for prediction of delirium at hospital admittance.
• 
  Daniel González, Miguel A. Patricio, Antonio Berlanga, José M. Molina:
  Variational autoencoders for anomaly detection in the behaviour of the elderly using electricity consumption data.

Original Articles

• 
  Parisa Lak, Aysun Bozanta, Can Kavaklioglu, Mucahit Cevik, Ayse Basar, Martin Petitclerc, Graham J. Wills:
  A replication study on implicit feedback recommender systems with application to the data visualization recommendation.
• 
  Xiuli Mu, Hongyan Zhang:
  Embedded electronic medical record text data mining using neural network association classification algorithm.
• 
  Jafar Ahmad Abed Alzubi, Omar A. Alzubi, Majdi Beseiso, Anil Kumar Budati, K. Shankar:
  Optimal multiple key-based homomorphic encryption with deep neural networks to secure medical data transmission and diagnosis.
• 
  Jeremy Straub:
  Assessment of the comparative efficiency of software-based Boolean, electronic, software-based fractional value and simplified quantum principal expert systems.
• 
  M. Adimoolam, Karthi Govindharaju, John A, Senthilkumar Mohan, Ali Ahmadian, Tiziana Ciano:
  A hybrid learning approach for the stage-wise classification and prediction of COVID-19 X-ray images.
• 
  Mamillapally Nagaraju, Priyanka Chawla, Shuchi Upadhyay, Rajeev Tiwari:
  Convolution network model based leaf disease detection using augmentation techniques.
• 
  Tingting Jiang, Hao Wang, Xiangfeng Luo, Shaorong Xie, Jingchao Wang:
  MIFAS: Multi-source heterogeneous information fusion with adaptive importance sampling for link prediction.
• 
  K. Mrinalini, P. Vijayalakshmi, T. Nagarajan:
  Feature-weighted AdaBoost classifier for punctuation prediction in Tamil and Hindi NLP systems.
• 
  Tribhuvan Singh:
  Handling multiple objectives using k-means clustering guided multiobjective evolutionary algorithm.
• 
  Gustavo H. de Rosa, Mateus Roder, João P. Papa:
  Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks.
• 
  Farimah Houshmand Nanehkaran, Seyed Mohammadreza Lajevardi, Mahmoud Mahlouji Bidgholi:
  Optimization of fuzzy similarity by genetic algorithm in user-based collaborative filtering recommender systems.
• 
  Abhishek Kumar, Jyoti Rawat, Indrajeet Kumar, Mamoon Rashid, Kamred Udham Singh, Yasser D. Al-Otaibi, Usman Tariq:
  Computer-aided deep learning model for identification of lymphoblast cell using microscopic leukocyte images.
• 
  Alexia G. Tzalavra, Ioannis Andreadis, Kalliopi V. Dalakleidi, Fotios Constantinidis, Evangelia I. Zacharaki, Konstantina S. Nikita:
  Dynamic contrast enhanced-magnetic resonance imaging radiomics combined with a hybrid adaptive neuro-fuzzy inference system-particle swarm optimization approach for breast tumour classification.
• 
  Satyender, Sanjeev Kumar Dhull, Krishna Kant Singh:
  ESIMD: Epileptic seizure identification using metaheuristic deep learning technique.
• 
  Ali Aydogdu, Sait Gül:
  New entropy propositions for interval-valued spherical fuzzy sets and their usage in an extension of ARAS (ARAS-IVSFS).
• 
  Soumya Ranjan Nayak, Janmenjoy Nayak, S. Vimal, Vaibhav Arora, Utkarsh Sinha:
  An ensemble artificial intelligence-enabled MIoT for automated diagnosis of malaria parasite.
• 
  Raphael Elimeli Nuhoho, Wenyu Chen, Adu Asare Baffour:
  A semi-supervised network based on feature embeddings for image classification.
• 
  Mahdi Ravakhah, Mehrdad Jalali, Yahya Forghani, Reza Sheibani:
  Balanced hierarchical max margin matrix factorization for recommendation system.
• 
  Hesam Varaee, Mohammad Reza Ghasemi:
  An improved chaotic ideal gas molecular movement algorithm for engineering optimization problems.
• 
  Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Saeid Raziani, Abdolah Chalechale:
  An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization.
• 
  Muhammet Aktas, Zeki Yetgin, Fatih Kiliç, Önder Sünbül:
  Automated test design using swarm and evolutionary intelligence algorithms.

Volume 39, Number 5, June 2022

Special Issue: Big Data Analytics with IoT-oriented Infrastructures for Future Smart Cities/Cognitive Smart Cities: Challenges and Trending Solutions
Big Data Analytics with IoT-Oriented Infrastructures for Future Smart Cities

• 
  Rohit Sharma, Deepak Gupta, Andino Maseleno, Sheng-Lung Peng:
  Introduction to the special issue on big data analytics with internet of things-oriented infrastructures for future smart cities.
• 
  A. K. M. Bahalul Haque, Bharat Bhushan, Gaurav Dhiman:
  Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends.
• 
  Qi Zhang, Yishu Liu:
  Smart user experience medical app interface design based on mobile devices.
• 
  Himanshu, Rajesh Khanna, Anil Kumar:
  Knowledge acquisition for 3D coordinates of target in wireless sensor networks for smart city application.
• 
  Shamik Tiwari, Anurag Jain, Nada Mohamed Osman Sid Ahmed, Charu, Lulwah M. Alkwai, Alaa Kamal Yousif Dafhalla, Sawsan Ali Saad Hamad:
  Machine learning-based model for prediction of power consumption in smart grid- smart way towards smart city.
• 
  Dilip Mandloi, Rajeev Arya:
  Seamless connectivity with 5G enabled unmanned aerial vehicles base stations using machine programming approach.
• 
  Palak Dixit, Pronaya Bhattacharya, Sudeep Tanwar, Rajesh Gupta:
  Anomaly detection in autonomous electric vehicles using AI techniques: A comprehensive survey.

Cognitive Smart Cities: Challenges and Trending solutions

• 
  Varun G. Menon, Reza Khosravi, Alireza Jolfaei, Akshi Kumar, P. Vinod:
  Cognitive smart cities: Challenges and trending solutions.
• 
  Sudeep Tanwar, Aarti Popat, Pronaya Bhattacharya, Rajesh Gupta, Neeraj Kumar:
  A taxonomy of energy optimization techniques for smart cities: Architecture and future directions.
• 
  Yichuan Zhang, Yadi Liu, Guangming Yang, Jie Song:
  DFT: A deep feature-based semi-supervised collaborative training for vehicle recognition in smart cities.
• 
  Youcef Djenouri, Asma Belhadi, Gautam Srivastava, Essam H. Houssein, Jerry Chun-Wei Lin:
  Sensor data fusion for the industrial artificial intelligence of things.
• 
  Mohammad Ayoub Khan:
  A formal method for privacy-preservation in cognitive smart cities.
• 
  Saurabh Raj Sangwan, Mohinder Pal Singh Bhatia:
  Soft computing for abuse detection using cyber-physical and social big data in cognitive smart cities.
• 
  Robson V. Mendonça, Juan E. Casavílca Silva, Renata Lopes Rosa, Muhammad Saadi, Demóstenes Zegarra Rodríguez, Ahmed Farouk:
  A lightweight intelligent intrusion detection system for industrial internet of things using deep learning algorithms.

Original Articles

• 
  Nojood O. Aljehane, Romany Fouad Mansour:
  Big data analytics with oppositional moth flame optimization based vehicular routing protocol for future smart cities.
• 
  Canxin Zhou, Siqi Chen, Xinhan Li, Xuxia Ying:
  Diagnosis of infectious factors in patients with chronic glomerular disease using deep learning-based health information data.
• 
  Manisha Vashisht, Brijesh Kumar:
  Effective implementation of machine learning algorithms using 3D colour texture feature for traffic sign detection for smart cities.
• 
  Aarti Goel, Deepak Kumar Sharma, Koyel Datta Gupta:
  LEOBAT: Lightweight encryption and OTP based authentication technique for securing IoT networks.
• 
  Mahammad Shareef Mekala, Gaurav Dhiman, Rizwan Patan, Suresh Kallam, Kadiyala Ramana, Kusum Yadav, Ali O. Alharbi:
  Deep learning-influenced joint vehicle-to-infrastructure and vehicle-to-vehicle communication approach for internet of vehicles.
• 
  Pooja Anand, Yashwant Singh, Arvind Kumar Selwal, Pradeep Kumar Singh, Kayhan Zrar Ghafoor:
  IVQFIoT: An intelligent vulnerability quantification framework for scoring internet of things vulnerabilities.
• 
  Lalit Mohan Joshi, Rajendra Kumar Bharti, Rajesh Singh:
  Internet of things and machine learning-based approaches in the urban solid waste management: Trends, challenges, and future directions.
• 
  Mostefa Kara, Abdelkader Laouid, Mohammed Amine Yagoub, Reinhardt Euler, Saci Medileh, Mohammad Hammoudeh, Amna Eleyan, Ahcène Bounceur:
  A fully homomorphic encryption based on magic number fragmentation and El-Gamal encryption: Smart healthcare use case.
• 
  Ram Srinivasan, Venki Balasubramanian, Abhishek Vidyasagar:
  A supervised learning model to identify the star potential of a basketball player.
• 
  Joy Krishan Das, Amitabha Chakrabarty, Md. Jalil Piran:
  Environmental sound classification using convolution neural networks with different integrated loss functions.
• 
  Prabu A. V., G. Sateesh Kumar, Rajasoundaran Soundararajan, Prince Priya Malla, Sidheswar Routray, Amrit Mukherjee:
  Internet of things-based deeply proficient monitoring and protection system for crop field.
• 
  Sandeep Verma:
  Energy-efficient routing paradigm for resource-constrained Internet of Things-based cognitive smart city.
• 
  Jiabang Liu, Xutong Jiang, Song Zhang, Bowen Liu, Wanchun Dou:
  CPP: A content-aware privacy protection method for location-based service.
• 
  Sumair Aziz, Muhammad Umar Khan, Abdul Rehman, Zain Tariq, Khushbakht Iqtidar:
  Computer-aided diagnosis of COVID-19 disease from chest X-ray images integrating deep feature extraction.
• 
  Ehsan Jokar, Mohammad Mosleh, Mohammad Kheyrandish:
  Overlapping community detection in complex networks using fuzzy theory, balanced link density, and label propagation.
• 
  Ashima Khosla, Padmavati Khandnor, Trilok Chand:
  EEG-based automatic multi-class classification of epileptic seizure types using recurrence plots.
• 
  Jianhui Liu, Jiao Wang, Panpan Ma, Juanjing Geng, Wenyan Chen, Zhiping Sun:
  Analysis of risk factors for blood transfusion in preterm infants based on statistical analyses.
• 
  Deepika Bansal, Kavita Khanna, Rita Chhikara, Rakesh Kumar Dua, Rajeev Malhotra:
  A superpixel powered autoencoder technique for detecting dementia.
• 
  Palak Handa, Nidhi Goel:
  Peri-ictal and non-seizure EEG event detection using generated metadata.
• 
  Zahra Roozbahani, Jalal Rezaeenour, Ali Katanforoush, Amir Jalaly Bidgoly:
  Personalization of the collaborator recommendation system in multi-layer scientific social networks: A case study of ResearchGate.
• 
  Khalil Bousbai, Juan Morales-Sánchez, Mostefa Merah, José-Luis Sancho-Gómez:
  Improving hand gestures recognition capabilities by ensembling convolutional networks.
• 
  Muhammad Riaz, Harish Garg, Muhammad Tahir Hamid, Deeba Afzal:
  Modelling uncertainties with TOPSIS and GRA based on q-rung orthopair m-polar fuzzy soft information in COVID-19.
• 
  Dagmawi Moges, Jiaxu Zhao, Hong Qu:
  Sequential multi-headed attention for entity-based relational neural networks.
• 
  The-Hanh Pham, Oliver Faust, Joel Koh En Wei, Edward J. Ciaccio, Prabal Datta Barua, Norlia Omar, Wei Lin Ng, Nazimah Ab Mumin, Kartini Rahmat, U. Rajendra Acharya:
  Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma.
• 
  Ayça Deniz, Hakan Ezgi Kiziloz, Ender Sevinç, Tansel Dökeroglu:
  Predicting the severity of COVID-19 patients using a multi-threaded evolutionary feature selection algorithm.
• 
  Xiaoxiao Yu, Xinzhi Wang, Xiangfeng Luo, Jianqi Gao:
  Multi-scale event causality extraction via simultaneous knowledge-attention and convolutional neural network.

Volume 39, Number 6, July 2022

Special Issue: Advances in Robotics for Healthcare / Intelligent Software Engineering
Advances in Robotics for Healthcare

• 
  Carlos Enrique Montenegro-Marín, Paulo Alonso Gaona-García, Edward Rolando Núñez-Valdéz:
  Advances in robotics for healthcare.
• 
  Abolfazl Mehbodniya, Arokia Jesu Prabhu Lazar, Julian L. Webber, Dilip Kumar Sharma, Santhosh Jayagopalan, Kittusamy Kousalya, Pallavi Singh, Regin Rajan, Sharnil Pandya, Sudhakar Sengan:
  Fetal health classification from cardiotocographic data using machine learning.
• 
  Li Li, Yi Lu, Hongmei Li, Ai Lan Liu:
  Study on the effect of mental health nursing intervention after gynecological tumour operation based on clustering model.
• 
  Hui Teng:
  Improved grey-level correlation feature and neural network model for medical resource requirement prediction.
• 
  Nour Eldeen Mahmoud Khalifa, Gunasekaran Manogaran, Mohamed Hamed N. Taha, Mohamed Loey:
  A deep learning semantic segmentation architecture for COVID-19 lesions discovery in limited chest CT datasets.
• 
  Asma Belhadi, Youcef Djenouri, Vicente García-Díaz, Essam H. Houssein, Jerry Chun-Wei Lin:
  Hybrid intelligent framework for automated medical learning.
• 
  C. Rajive Gandhi, Murugesh Veerasamy:
  Detection of neurodegenerative disease in brain using region splitting based segmentation with deep unsupervised neural networks.

Intelligent Software Engineering Guest Editors: Honghao Gao, Yudong Zhang, Walayat Hussain

• 
  Honghao Gao, Yudong Zhang, Walayat Hussain:
  Special issue on intelligent software engineering.
• 
  Yuyu Yin, Jiajie Ruan, Youhuizi Li, Yu Li, Zhijin Pan:
  Syntax-based metamorphic relation prediction via the bagging framework.
• 
  Zheng Liu, Guisheng Fan, Huiqun Yu, Liqiong Chen:
  Modelling and analysing the reliability for microservice-based cloud application based on predicate Petri net.
• 
  Huihui Cheng, Hongwei Zeng:
  Optimizing demand-driven null dereference verification via merging branches.
• 
  Weilong Ding, Ji Liu, Zhongguo Yang, Bo Lv, Han Li, Hanchuan Xu:
  A multi-tenancy and robust workflow management system.
• 
  Yanyang Zhao, Yawen Wang, Dalin Zhang, Yunzhan Gong:
  Eliminating the high false-positive rate in defect prediction through BayesNet with adjustable weight.
• 
  Tianchen Zhang, Zhongqin Bi, Meijing Shan, Yongbin Li:
  IFGAN: Information fusion generative adversarial network for knowledge base completion.

Original Articles

• 
  Vishwanath Bijalwan, Vijay Bhaskar Semwal, Ghanapriya Singh, Rubén González Crespo:
  Heterogeneous computing model for post-injury walking pattern restoration and postural stability rehabilitation exercise recognition.
• 
  Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik:
  Deep ensemble learning approach for lower extremity activities recognition using wearable sensors.
• 
  Rajalakshmi Selvaraj, Venu Madhav Kuthadi, S. Baskar:
  Human muscle rigidity identification by human-robot approximation characteristics framework on internet of things platform.
• 
  Malliga Subramanian, Shanmuga Vadivel Kogilavani, Wesam Atef Hatamleh, Abeer Ali Alnuaim, Mohamed Abdelhady, Sathishkumar V. E.:
  The role of contemporary digital tools and technologies in COVID-19 crisis: An exploratory analysis.
• 
  Shi Qi, Lei Liu, B. Santhosh Kumar, A. Prathik:
  An English teaching quality evaluation model based on Gaussian process machine learning.
• 
  Li Kuang, Fan Ge, Lingyan Zhang:
  Suggesting method names based on graph neural network with salient information modelling.
• 
  Gang Yao, Xiaojian Hu, Taiyun Zhou, Yue Zhang:
  Enterprise credit risk prediction using supply chain information: A decision tree ensemble model based on the differential sampling rate, Synthetic Minority Oversampling Technique and AdaBoost.
• 
  Navleen Kour, Sunanda Gupta, Sakshi Arora:
  A vision-based clinical analysis for classification of knee osteoarthritis, Parkinson's disease and normal gait with severity based on k-nearest neighbour.
• 
  Amir Masoud Rahmani, Iman AliAbdi:
  Plant competition optimization: A novel metaheuristic algorithm.
• 
  Shuvodeep Saha, Komal Jindal, Divya Shakti, Suman Tewary, Viren Sardana:
  Chirplet transform-based machine-learning approach towards classification of cognitive state change using galvanic skin response and photoplethysmography signals.
• 
  Pradeepika Verma, Anshul Verma, Sukomal Pal:
  A fusion of variants of sentence scoring methods and collaborative word rankings for document summarization.

Volume 39, Number 7, August 2022

Special Issue: Recent advances in Deep Learning, Biometrics, Health Informatics and Data Science
Recent Advances in Deep Learning, Biometrics, Health Informatics and Data Science

• 
  Steven Lawrence Fernandes, Roshan Joy Martis, Hong Lin, Bahman Javadi, Urcun John Tanik, Muhammad Sharif:
  Special issue: Recent advances in deep learning, biometrics, health informatics and data science.
• 
  Ankit A. Bhurane, Shivani Dhok, Manish Sharma, Yuvaraj Rajamanickam, Murugappan Murugappan, U. Rajendra Acharya:
  Diagnosis of Parkinson's disease from electroencephalography signals using linear and self-similarity features.
• 
  Muhammad Attique Khan, Muhammad Imran Sharif, Mudassar Raza, Muhammad Almas Anjum, Tanzila Saba, Shafqat Ali Shad:
  Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection.
• 
  Durga Sivan, Mohan Sellappa, J. Dinesh Peter:
  Proximity-based cloud resource provisioning for deep learning applications in smart healthcare.
• 
  Habiba Arshad, Muhammad Attique Khan, Muhammad Imran Sharif, Mussarat Yasmin, João Manuel R. S. Tavares, Yudong Zhang, Suresh Chandra Satapathy:
  A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition.
• 
  Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
  Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.
• 
  Niranjana Sampathila, Pavithra, Roshan Joy Martis:
  Computational approach for content-based image retrieval of K-similar images from brain MR image database.

Original Articles

• 
  Neetu Kushwaha, Millie Pant, Sugam Sharma:
  Electromagnetic optimization-based clustering algorithm.
• 
  Alishba Adeel, Muhammad Attique Khan, Tallha Akram, Abida Sharif, Mussarat Yasmin, Tanzila Saba, Kashif Javed:
  Entropy-controlled deep features selection framework for grape leaf diseases recognition.
• 
  Aayush Kumar, Sanat B. Singh, Suresh Chandra Satapathy, Minakhi Rout:
  MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps.
• 
  Melike Nur Yegin, Ömer Kurttekin, Serkan Kaan Bahsi, Mehmet Fatih Amasyali:
  Training with growing sets: A comparative study.
• 
  Anwer Mustafa Hilal, Rana Alabdan, Mohamed Tahar Ben Othman, Siwar Ben Haj Hassine, Fahd N. Al-Wesabi, Mohammed Rizwanullah, Ishfaq Yaseen, Abdelwahed Motwakel:
  Modelling of biosignal based decision making model for intracranial haemorrhage diagnosis in IoT environment.
• 
  Vinayakumar Ravi, Harini Narasimhan, Tuan D. Pham:
  A cost-sensitive deep learning-based meta-classifier for pediatric pneumonia classification using chest X-rays.
• 
  Kuldeep Singh Yadav, Anish Monsley Kirupakaran, Rabul Hussain Laskar, Manas Kamal Bhuyan, Taimoor Khan:
  Design and development of a vision-based system for detection, tracking and recognition of isolated dynamic bare hand gesticulated characters.
• 
  Bin Cao, Hao Chen, Zijie Wang, Ting Wang, Jing Fan:
  Deriving the minimum staff number requirement for intelligent staff scheduling: An efficient constructive method and application.
• 
  Sunil Kumar Jha, Jinwei Wang, Raju Shanmugam:
  An accurate soft diagnosis method of breast cancer using the operative fusion of derived features and classification approaches.
• 
  Bruno Ziegler Haselein, Jonny Carlos da Silva:
  A knowledge-based system for electric motors compliance verification in a multinational-level company.
• 
  Kalicharan Sahu, Sonajharia Minz:
  Self-adaptive-deer hunting optimization-based optimal weighted features and hybrid classifier for automated disease detection in plant leaves.
• 
  Gil Jae Song, Hee Seok Song:
  Algorithm for generating negative cases for collaborative filtering recommender.
• 
  Pelin Yildirim Taser:
  A novel multi-view ordinal classification approach for software bug prediction.

Volume 39, Number 8, September 2022

Original Articles

• 
  Jayaram Boga, V. Dhilip Kumar:
  Human activity recognition by wireless body area networks through multi-objective feature selection with deep learning.
• 
  André L. Zanon, Luan Souza, Diany Pressato, Marcelo Garcia Manzato:
  A user study with aspect-based sentiment analysis for similarity of items in content-based recommendations.
• 
  Betül Sultan Yildiz, Sumit Kumar, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Ali Riza Yildiz:
  A new chaotic Lévy flight distribution optimization algorithm for solving constrained engineering problems.
• 
  Eduardo Guzmán, María-Victoria Belmonte, Viviane Maria Lelis:
  Ensemble methods for meningitis aetiology diagnosis.
• 
  Shakiroh Khamis, Mazida Ahmad, Azizah Ahmad, Mohammad Nazir Ahmad:
  Internet use behaviour model for predicting students' performance.
• 
  Savita Wadhawan, Raman Maini:
  EBPSO: Enhanced binary particle swarm optimization for cardiac disease classification with feature selection.
• 
  Sumera Naz, Muhammad Akram, Arsham Borumand Saeid, Aniqa Saadat:
  Models for MAGDM with dual hesitant q-rung orthopair fuzzy 2-tuple linguistic MSM operators and their application to COVID-19 pandemic.
• 
  Masood Ghayoomi, Maryam Mousavian:
  Deep transfer learning for COVID-19 fake news detection in Persian.
• 
  Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, Sadaqat Ali, Ancuta Nicoleta Remete, Muhammad Arshad Javid:
  Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns.
• 
  Tarun Agrawal, Prakash Choudhary:
  EfficientUNet: Modified encoder-decoder architecture for the lung segmentation in chest x-ray images.
• 
  Ziyang Li, Xingyu Zhang, Wenju Wang, Zhi Li:
  Multi-criteria probabilistic dual hesitant fuzzy group decision making for supply chain finance credit risk assessments.
• 
  Harun Ur Rashid, Turgay Ibrikci, Semra Paydas, Figen Binokay, Ulus Çevik:
  Analysis of breast cancer classification robustness with radiomics feature extraction and deep learning techniques.
• 
  Maryam Bibi, Anmol Hamid, Momina Moetesum, Imran Siddiqi:
  Document forgery detection using source printer identification: A comparative study of text-dependent versus text-independent analysis.
• 
  Harpreet Singh, Birmohan Singh, Manpreet Kaur:
  An efficient feature selection method based on improved elephant herding optimization to classify high-dimensional biomedical data.
• 
  Vaibhav Tiwari, Rakesh Chandra Joshi, Malay Kishore Dutta:
  Deep neural network for multi-class classification of medicinal plant leaves.

Volume 39, Number 9, November 2022

Special Issue: Computational Intelligence Applied to Cybersecurity/Role of Artificial Intelligence in Medical Imaging
Computational Intelligence Applied to Cybersecurity

• 
  Álvaro Herrero, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado:
  Computational intelligence applied to cybersecurity.
• 
  Felipe Barreno, Manuel G. Romana, Matilde Santos:
  Fuzzy expert system for road type identification and risk assessment of conventional two-lane roads.
• 
  Daniel Wilusz, Adam Wójtowicz:
  Secure protocols for smart contract based insurance services.
• 
  Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Andrés José Piñón Pazos, Dragan Simic, José Luís Calvo-Rolle:
  A hybrid one-class approach for detecting anomalies in industrial systems.
• 
  Francisco Javier Rodríguez-Lera, Miguel Ángel González Santamarta, Ángel Manuel Guerrero-Higueras, Francisco Martín Rico, Vicente Matellán Olivera:
  Towards explainability in robotics: A performance analysis of a cloud accountability system.

Role of Artificial Intelligence in Medical imaging

• 
  Syed Hassan Ahmed, Murad Khan, Wael Guibène:
  Special issue 'role of artificial intelligence in medical imaging'.
• 
  Ahed Abugabah, Atif Mehmood, Sultan Almotairi, Ahmad Al Smadi:
  Health care intelligent system: A neural network based method for early diagnosis of Alzheimer's disease using MRI images.
• 
  V. S. S. P. Raju Gottumukkala, N. Kumaran, V. Chandra Sekhar:
  BLSNet: Skin lesion detection and classification using broad learning system with incremental learning algorithm.
• 
  Xiaoning Zhao, Yong Liu, Mingyan Sun, Yingying Wang, Bailing Qian:
  Detecting pulmonary oedema in lung resection patient through point-of-care lung ultrasonography.
• 
  Rajaram Sampath, Manickam Baskar:
  3D brain image-based Alzheimer's disease detection techniques using fish swarm optimizer's deep convolution Siamese neural network.
• 
  Gul Shaira Banu Jahangeer, T. Dhiliphan Rajkumar:
  Detecting breast cancer using novel mask R-CNN techniques.
• 
  Taher M. Ghazal, Nasser Taleb:
  Feature optimization and identification of ovarian cancer using internet of medical things.

Survey Articles

• 
  Zezheng Feng, Huamin Qu, Shuang-Hua Yang, Yulong Ding, Jie Song:
  A survey of visual analytics in urban area.
• 
  Mohammed Sayeeduddin Habeeb, Tummala Ranga Babu:
  Network intrusion detection system: A survey on artificial intelligence-based techniques.

Original Articles

• 
  P. Bharat Siva Varma, Siddartha Paturu, Suman Mishra, B. Srinivasa Rao, Pala Mahesh Kumar, Namani Vamshi Krishna:
  SLDCNet: Skin lesion detection and classification using full resolution convolutional network-based deep learning CNN with transfer learning.
• 
  Deepak V. K., Sarath R:
  Classification of brain tumours in MRI images using convolutional neural network through Cat Swarm Optimization.
• 
  Arunkumar Arumugam, Pitchandi Velrajkumar, Gopalsamy Venkadakrishnan Sriramakrishnan, Satish Muppidi:
  Feedback Artificial Tree-Anti Corona Virus Optimization enabled deep learning for detecting autism spectrum disorder.
• 
  Maoze Zhou, Hongjiu Liu, Yanrong Hu:
  Research on corporate financial performance prediction based on self-organizing and convolutional neural networks.
• 
  Md. Rakibul Hasan, Md. Mahbub Hasan, Md. Zakir Hossain:
  Effect of vocal tract dynamics on neural network-based speech recognition: A Bengali language-based study.
• 
  Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das:
  A multi-task learning based approach for efficient breast cancer detection and classification.
• 
  Prasannavenkatesan Theerthagiri, A. Usha Ruby:
  RFFS: Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction.
• 
  Honglei He, Yuxuan He, Fang Wang, Wenming Zhu:
  Improved K-means algorithm for clustering non-spherical data.
• 
  Sheng Ang, Hui Wu, Menghan Chen, Feng Yang:
  Social network analysis for cross-evaluation in data envelopment analysis.
• 
  Prasannavenkatesan Theerthagiri, Jyothiprakash Vidya:
  Cardiovascular disease prediction using recursive feature elimination and gradient boosting classification techniques.
• 
  Alper Sarikaya, Banu Günel Kiliç, Mehmet Demirci:
  GRU-GBM: A combined intrusion detection model using LightGBM and gated recurrent unit.

Volume 39, Number 10, December 2022

Special Issue: Blockchain-Based 6G and Industrial Internet of Things Systems for Industry 4.0/5.0 / International Conference on Computing and Communication Networks (ICCCN2021)
Blockchain-based 6G and Industrial Internet of Things Systems for Industry 4.0/5.0

• 
  Gaurav Dhiman, Atulya K. Nagar:
  Editorial: Blockchain-based 6G and industrial internet of things systems for industry 4.0/5.0.
• 
  Pratima Sharma, Nageswara Rao Moparthi, Suyel Namasudra, Vimal Shanmuganathan, Ching-Hsien Hsu:
  Blockchain-based IoT architecture to secure healthcare system using identity-based encryption.
• 
  Qasem Abu Al-Haija, Ahmad Al Badawi, Giridhar Reddy Bojja:
  Boost-Defence for resilient IoT networks: A head-to-toe approach.
• 
  Erukala Suresh Babu, Ajay Kumar Dadi, Krishna Kant Singh, Soumya Ranjan Nayak, Akash Kumar Bhoi, Akansha Singh:
  A distributed identity-based authentication scheme for internet of things devices using permissioned blockchain system.
• 
  Abolfazl Mehbodniya, Julian L. Webber, Rahul Neware, Farrukh Arslan, Raja Varma Pamba, Mohammad Shabaz:
  Modified Lamport Merkle Digital Signature blockchain framework for authentication of internet of things healthcare data.
• 
  Vigneysh Thangavel, Velamuri Suresh, M. V. V. Prasad Kantipudi, Wattana Viriyasitavat:
  An intelligent robust cascaded control scheme for renewable energy based microgrid.
• 
  Suvarna Patil, Prasad Gokhale:
  Multi-criteria approach for handling sophisticated data transmission over gateways in blockchain and Internet of Things (IoT) federated networks.

International Conference on Computing and Communication Networks (Icccn2021)

• 
  Deepak Gupta:
  Special issue on International Conference on Computing and Communication Networks.
• 
  Dheyaa Ahmed Ibrahim, Dilovan Asaad Zebari, Hussam J. Mohammed, Mazin Abed Mohammed:
  Effective hybrid deep learning model for COVID-19 patterns identification using CT images.
• 
  Indresh Kumar Gupta, Abha Choubey, Siddhartha Choubey:
  Artifical intelligence with optimal deep learning enabled automated retinal fundus image classification model.
• 
  Fan Zhang, Chenguang Guo, Shifeng Zhang, Qinqin Zeng, Tri Gia Nguyen:
  A genetic algorithm-based on-orbit self-repair implementation for SRAM FPGAs.
• 
  Awanish Kumar Mishra, Narendra Kohli:
  An intelligent optimization algorithm with a deep learning-enabled block-based motion estimation model.
• 
  Parminder Pal Singh Bedi, Manju Bala, Kapil Sharma:
  Extractive summarization using concept-space and keyword phrase.
• 
  Radwa Marzouk, Jaber S. Alzahrani, Fadwa M. Alrowais, Fahd N. Al-Wesabi, Manar Ahmed Hamza:
  Quasi-oppositional wild horse optimization based multi-agent path finding scheme for real time IoT systems.
• 
  Dakshnamoorthy Vinoth, Prabhavathy Panneer:
  Automated sarcasm detection and classification using hyperparameter tuned deep learning model for social networks.
• 
  Vincent Omollo Nyangaresi, Musheer Ahmad, Ahmed Alkhayyat, Wei Feng:
  Artificial neural network and symmetric key cryptography based verification protocol for 5G enabled Internet of Things.
• 
  Moolchand Sharma, Suman Deswal:
  Drugs-Protein affinity-score prediction using deep convolutional neural network.
• 
  Mohammed Maray, Mohammed Alghamdi, Fatma S. Alrayes, Saud S. Alotaibi, Sana Alazwari, Rana Alabdan, Mesfer Al Duhayyim:
  Intelligent metaheuristics with optimal machine learning approach for malware detection on IoT-enabled maritime transportation systems.

Original Articles

• 
  Abdullahi Umar Ibrahim, Mehmet Ozsoz, Sertan Serte, Fadi M. Al-Turjman, Salahudeen Habeeb Kolapo:
  Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases.
• 
  Wilhelm Rödder, Andreas Dellnitz, Sebastian Litzinger:
  Analysing terrorist networks - An entropy-driven method.
• 
  Xia Li, Huali Yang, Shengze Hu, Jing Geng, Keke Lin, Yuhai Li:
  Enhanced hybrid neural network for automated essay scoring.
• 
  Law Kumar Singh, Munish Khanna, Shankar Thawkar:
  A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing.
• 
  Preeti Kathiria, Harshal A. Arolkar:
  Trend analysis and forecasting of publication activities by Indian computer science researchers during the period of 2010-23.
• 
  Mohamed A. Mostafa, Muhammad Al-Qurishi, Atif Alamri, Mehmet Sabih Aksoy, Ahmed Z. Emam:
  Novel graphical family tree representation to develop an interactive expert system.
• 
  Kulandaivel Balakrishnan, Ramasamy Dhanalakshmi, Gopalakrishnan Seetharaman:
  S-shaped and V-shaped binary African vulture optimization algorithm for feature selection.