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Expert Systems - The Journal of Knowledge Engineering, Volume 41
Volume 41, Number 1, January 2024
REVIEW
- Monika Sharma
, Ajay Kaul:
A review of detecting malware in android devices based on machine learning techniques.
ORIGINAL ARTICLES
- Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra
An improved binary grey wolf optimizer for constrained engineering design problems. - Abdellah El Zaar
Prediction of US 30-years-treasury-bonds movement and trading entry point using the robust 1DCNN-BiLSTM-XGBoost algorithm. - Peichao Lai, Feiyang Ye, Yanggeng Fu
CogNLG: Cognitive graph for KG-to-text generation. - Muhidin Mohamed
SDbQfSum: Query-focused summarization framework based on diversity and text semantic analysis. - Zubaida Rehman, Noshina Tariq, Syed Atif Moqurrab, Joon Yoo
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues. - Haji Gul, Feras N. Al-Obeidat
Analyzing complex networks: Extracting key characteristics and measuring structural similarities. - Priya Mathur, Amit Kumar Gupta
Soft computing approaches for prediction of specific heat capacity of hybrid nanofluids. - Sumit Singh Dhanda
6G-enabled internet of medical things. - Kunal Chaturvedi
Fight detection with spatial and channel wise attention-based ConvLSTM model. - Yao Lv
GA-based feature selection method for oversized data analysis in digital economy. - M. Sreenu
Reinforcement learning and blockchain-based intelligent and secure vaccine recommender system. - Moutaz Alazab
Android ransomware detection using binary Jaya optimization algorithm. - Elena Higueras-Castillo
Examining the two-dimensional perceived marketplace influence and the role of financial incentives by SEM and ANN. - Dan Li, Ning Lu, Siyu Wang, Wenbo Shi, Chang Choi
A precise method of identifying Android application family.
Volume 41, Number 2, February 2024
MACHINE LEARNING CHALLENGES AND APPLICATIONS FOR INDUSTRY 4.0 (EXSYS-MLI4.0)
- Víctor Rodríguez-Fernández, David Camacho
Recent trends and advances in machine learning challenges and applications for industry 4.0. - Atma Ram Sahu
Data-driven fault diagnosis approaches for industrial equipment: A review. - Álvaro Michelena
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport. - Izaskun Mendia
A novel approach for the detection of anomalous energy consumption patterns in industrial cyber-physical systems. - Gen Li
Dynamic graph embedding-based anomaly detection on internet of things time series. - Federico Gatta
Predictive maintenance for offshore oil wells by means of deep learning features extraction. - Boyan Xu
A slimmer and deeper approach to deep network structures for low-level vision tasks. - Jiaxin Li, Yonggang Li, Zhenxiang Feng
A spatiotemporal-distributed deep-learning framework for KPI estimation of chemical processes with cascaded reactors. - Nijat Mehdiyev
Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium-sized enterprises. - B. Harish Goud
Energy optimization in path arbitrary wireless sensor network. - Ibrahim Abunadi, Amjad Rehman
A multi-parametric machine learning approach using authentication trees for the healthcare industry. - Felipe Barreno
A novel adaptive vehicle speed recommender fuzzy system for autonomous vehicles on conventional two-lane roads. - Alfonso González-Briones
Job offers recommender system based on virtual organizations. - Jesús Enrique Sierra-García
Combining reinforcement learning and conventional control to improve automatic guided vehicles tracking of complex trajectories. - Ulligaddala Srinivasarao
Sentiment analysis from email pattern using feature selection algorithm. - Antonio Jesús Chaves
The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka-ML: A deep-learning performance comparative. - Luka Jovanovic
Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0. - Maciej Szelazek
Semantic data mining-based decision support for quality assessment in steel industry.
INTELLIGENT COMPUTATIONAL METHODS FOR ECONOMICS
- Takfarinas Saber
Intelligent computational methods for economics. - José Ângelo Ferreira
Forgetting curve models: A systematic review aimed at consolidating the main models and outlining possibilities for future research in production. - Zidi Gao
Attention based hybrid parametric and neural network models for non-stationary time series prediction. - Xinsheng Zhang
An attention-based Logistic-CNN-BiLSTM hybrid neural network for credit risk prediction of listed real estate enterprises. - Przemyslaw Gradzki
Is attention all you need for intraday Forex trading? - José Miguel Navarro-Azorín
...And the pursuit of happiness: International migratory flows and countries' subjective well-being.
REVIEW
- Kaoutar El Madou
Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis.
ORIGINAL ARTICLES
- Sandeep S. Udmale
An optimized extreme learning machine-based novel model for bearing fault classification. - Dheeb Albashish
Enhanced meta-heuristic methods for industrial winding process modelling. - Naseem Ahmad
A cascaded deep learning framework for iris centre localization in facial image. - Ahmad Bala Alhassan, Wudhichai Assawinchaichote
Hybrid input shaping and fuzzy logic-based position and oscillation control of tower crane system. - Michal Koren
Weighted distance classification method based on data intelligence. - Hossein Yektamoghadam, Amirhossein Nikoofard
Multi-criteria evolutionary optimization of a traffic light using genetics algorithm and teaching-learning based optimization.
Volume 41, Number 3, March 2024
REVIEW
- Mohammad Ahsan
Advancements in medical diagnosis and treatment through machine learning: A review.
ORIGINAL ARTICLES
- Harnain Kour
Hybrid evolutionary intelligent network for sentiment analysis using Twitter data during COVID-19 pandemic. - Elena Barzizza, Nicolò Biasetton, Riccardo Ceccato
Multi-aspect permutation tests for model selection. - Chunmeng Liu, Guangyao Li
WegFormer: Transformers for weakly supervised semantic segmentation. - Srinivasulu Pathakamuri
PaaS platform security enhancement using fuzzy based access control and trust based signature. - Ashwini Kodipalli
Semantic segmentation and classification of polycystic ovarian disease using attention UNet, Pyspark, and ensemble learning model. - Hua Zhuang
Cross-efficiency evaluation of the data envelopment analysis with conflict behaviour and beneficial relationship perspectives. - Iztok Fister Jr., Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz, Andreas Holzinger:
NarmViz: A novel method for visualization of time series numerical association rules for smart agriculture. - Wenchao Zhang, Chong Fu
Joint object contour points and semantics for instance segmentation. - Sonia Verma
An automated face mask detection system using transfer learning based neural network to preventing viral infection. - Md. Yousuf Ali, Bin Jiang, Oindrila Chowdhury, Md. Harun-Ar-Rashid, M. Shamim Hossain
Cosine modulated filter bank-based architecture for extracting and fusing saliency features. - Sannidhan M. S
A swarm-optimized microbial colony counter. - Ruidong Zhang, Zelin Guo
Text classification based on PEGCN: Graph convolution classification using location information and edge features. - Zhiyi Yu
Enhancing text classification with attention matrices based on BERT. - Chunlin Yin, Kunpeng Du, Qiong Nong, Hongcheng Zhang, Li Yang, Bin Yan, Xiang Huang, Xiaobo Wang, Xuan Zhang
PowerPulse: Power energy chat model with LLaMA model fine-tuned on Chinese and power sector domain knowledge.
Volume 41, Number 4, April 2024
REVIEW
- Junxin Chen, Zhihuan Guo, Xu Xu
Artificial intelligence for heart sound classification: A review.
ORIGINAL ARTICLES
- Palak Handa
One-dimensional atrous conv-net based architecture for automatic diagnosis of epilepsy using electroencephalography signals and its brain-computer interface applications. - Mahmoud Ragab
Optimal deep transfer learning driven computer-aided breast cancer classification using ultrasound images. - Muhammad Yasir, Inam Ullah, Chang Choi
Depthwise channel attention network (DWCAN): An efficient and lightweight model for single image super-resolution and metaverse gaming. - Xiufeng Zhang, Xingkui Fu
A multi-scale feature fusion convolutional neural network for facial expression recognition. - Berkant Düzgün
Network intrusion detection system by learning jointly from tabular and text-based features. - Zhigao Long
Data augmentation using virtual word insertion techniques in text classification tasks. - Felipe Augusto Lara Soares
Automated and intelligent system for World Health Organization data forecasting. - Jihene Tmamna, Emna Ben Ayed, Rahma Fourati
Bare-Bones particle Swarm optimization-based quantization for fast and energy efficient convolutional neural networks. - Enrique González Rodrigo, Juan C. Alfaro, Juan A. Aledo, José A. Gámez
Efficient ensembles of distance-based label ranking trees. - Sofia Strukova
Identifying professional photographers through image quality and aesthetics in Flickr. - Awanish Kumar Mishra
Empowering EEG motor imagery classification with deep transfer learning approach. - Ali Al Bataineh
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. - Jie Wu
Enhancing diversity for logical table-to-text generation with mixture of experts. - Prashanth K. V. T. K. N.
Sarcasm-based tweet-level stress detection.
Volume 41, Number 5, May 2024
INTELLIGENT FUZZY ASSISTED COGNITIVE SYSTEMS FOR SUPPLY CHAIN MANAGEMENT
- Jinli Ma
Effective high-quality economic growth based on human capital structure. - Wurong Zuo, Xing Zhang
The economic globalization for sustainable management of overseas trade enterprise logistics. - Rakesh Kumar
An improved exponential metric space approach for C-mean clustering analysing. - Juan Lei
Research on the improvement path of international competitiveness of China's agricultural product supply chain from the perspective of machine learning. - M. M. Kamruzzaman
Measuring systemic and systematic risk in the financial markets using artificial intelligence. - Hao Wang
Linking AI supply chain strength to sustainable development and innovation: A country-level analysis. - Qian Sun
Auxiliary cognition system-based management strategy optimization of supply chain of new energy in oil-gas enterprises. - Wenwan Wei, De Xiao, Wan Liu
The analysis of optimized path selection for management mode of coastal regional circular economy based on fuzzy decision algorithm. - Yuan Fang
The model of Tibetan thangka sales under blockchain technology. - Puyang Zheng
Supply chain operation evaluation and management decision by fuzzy cognitive map model. - Huwei Li
Analysis and design of financial data mining system based on fuzzy clustering. - Ziyu Xu
Supply chain benefit distribution and economic sustainable development by Shapley model in smart city. - Min Chen
Dynamic relationship network and international management of enterprise supply chain by particle swarm optimization algorithm under deep learning. - Yongjie Tian:
Adaptive control and supply chain management of intelligent agricultural greenhouse by intelligent fuzzy auxiliary cognitive system. - Hao Wang
Adoption of blockchain + Internet of Things in demand forecasting of farm supply chain. - Ping Hu, Peng Zhang
Intelligent cognitive evaluation of ice and snow sports training by fuzzy comprehensive evaluation from the perspective of supply chain management. - Qi Wang, Wenjie Zhang, Lan Ma
Applying information ecological theory to analyse the green supply chain management system in universities. - Xue Yu
The analysis of green advertisement communication strategy based on deep factorization machine deep learning model under supply chain management. - Caili Yu, Liang Li, Junlong Li, Peng Qin, Bei Zhang
The evaluation of enterprise supply chain intelligent manufacturing system for agricultural interconnection data based on machine learning. - Fanfan Li, Rong Jiang, Jiabao Li:
The design of intelligent fuzzy cognitive system of music emotion by product supply chain management. - Jun Liu
The energy storage and optimal dispatch supply chain for new energy grids using edge computing and the internet of things. - Huan Wang
The design for supply chain management of intelligent logistics system using cloud computing and the internet of things. - Chenxi Li, Zhaohui Li, Meng Wu
The genetic algorithm and BP neural network in financial supply chain management under information sharing. - Daolin Zhang
Supply chain risk management of badminton supplies company using decision tree model assisted by fuzzy comprehensive evaluation. - Ye Teng, Yuxuan Wang
The risk evaluation and management of the sports service supply chain by introducing fuzzy comprehensive appraisal and artificial intelligence technology.
ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS FOR ENVIRONMENTAL POLLUTION RESEARCH (AL-TURJMAN)
- Junjie Xiang, Haitao Mao
Impact assessment and mechanism of water conservancy policy on carbon emission performance under the background of artificial intelligence. - Kalaivanan Karuppannan
Normalized hellinger feature selection and soft margin boosting classification for water quality prediction. - Jingyao Song
Impacts of the carbon tax on green shipping supply chain under the port competition. - Yu Lin
Carbon emission reduction policy simulation based on the CGE model.
INTELLIGENT SOFTWARE ENGINEERING
- Youhuizi Li
Software business process adaptive approach supporting organization architecture evolution. - Xiaoxiao Sun, Salamat Boranbaev, Shicong Han, Huanqiang Wang, Dongjin Yu:
Expert system for automatic microservices identification using API similarity graph. - Zhifang Liao
Classification of open source software bug report based on transfer learning. - Xiaoxiao Sun, Siqing Yang, Yuke Ying, Dongjin Yu:
Next activity prediction of ongoing business processes based on deep learning.
WABIOSIG
- Manish Sharma
An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy features. - Joel Koh En Wei, Venkatesan Rajinikanth
Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals.
Volume 41, Number 6, June 2024
EMERGING TRENDS IN ARTIFICIAL INTELLIGENCE FOR INTELLIGENT INDUSTRIAL APPLICATIONS
- Jose Patris Donald
CIAMS - Checkpoint-intrigued adversary mitigation scheme for industrial internet of things. - Karol Mateusz Ciok, Jordán Pascual Espada
Flex-request: Library to make remote changes in the communication of IoT devices. - Dengjia Li, Chaoqun Ma
Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform. - Asmita Yadav
Developer load balancing bug triage: Developed load balance. - Ravi Prakash
Green vehicle routing problem: Metaheuristic solution with time window. - Jie Zhao, Shuainan Ding
Research on temporal and spatial distribution characteristics of passenger flow of Daxing airport line based on automatic fare collection data. - Ganesan Mariammal
Predicting the suitable fertilizer for crop based on soil and environmental factors using various feature selection techniques with classifiers. - Sunil Kumar Sharma
Mobile healthcare (m-Health) based on artificial intelligence in healthcare 4.0. - Hanumanthu Bhukya
Handling uncertainty using optimal clustering with rough sets-based rule generation model for data classification. - Fahad Alblehai, Mohamed H. Mahmoud
Analysing biosensor clinical pathogen information using mayfly optimized convolute neural network approach. - Appu Alfred Raja Melvin
An AI powered system call analysis with bag of word approaches for the detection of intrusions and malware in Australian Defence Force Academy and virtual machine monitor malware attack data set. - Hua Xubin, Lin Qiao
Mango wine making process optimization based on artificial intelligence deep learning technology. - Junxia Yang, Youpeng Zhang
Cooperative robust adaptive control of multiple trains based on RBFNN position output constraints. - Elías Plaza
Management and intelligent control of in-flight fuel distribution in a commercial aircraft. - Shefali Singhal
An E-commerce prediction system for product allocation to bridge the gap between cultural analytics and data science. - Youcef Djenouri, Asma Belhadi, Anis Yazidi, Gautam Srivastava
Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism. - Harikrushna Gantayat
An efficient direction-of-arrival estimation of multipath signals with impulsive noise using satin bowerbird optimization-based deep learning neural network. - Devrim Naz Akdas, Derya Birant, Pelin Yildirim Taser
ERIM: An ensemble of rare itemset mining and its application in the automotive industry. - S. Ayesha Jasmin
Development of Artificial Intelligence-based chatbot for smart aquafarm practices. - Anuli Dass, Smriti Srivastava
Modelling and control of fuzzy-based systems using intelligent water drop algorithm. - Liang Meng
Emotional expression in jewellery design under the background of artificial intelligence. - Vishal Srivastava, Smriti Srivastava
Performance improvement and Lyapunov stability analysis of nonlinear systems using hybrid optimization techniques. - Dong-e Liu
The refined management of medical finance combined with information technology construction.
NATURAL LANGUAGE PROCESSING ASSISTANCE ON DIGITAL LIBRARY MANAGEMENT
- Shaobin Huang, Jingyun Sun
NeuralConflict: Using neural networks to identify norm conflicts in normative documents. - Mahmoud Ragab
Natural language processing with deep learning enabled hybrid content retrieval model for digital library management. - S. Baskar, Sunita Dhote
A predictive typological content retrieval method for real-time applications using multilingual natural language processing. - Zhi Li, Qing Wang, Jia-Qiang Wang
ELSTM: An improved long short-term memory network language model for sequence learning. - S. Tejasree, B. Chandra Mohan
An improved differential bond energy algorithm with fuzzy merging method to improve the document clustering for information mining. - Yuan Zhou
An information extraction method based on improved mixed text density web pages.
COMPUTATIONAL METHODS FOR 3D DENTAL IMAGES (GUPTA)
- Harshavardhan Awari
Three-dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm. - Jayaraj Velusamy, T. Rajajegan, Sini Anna Alex, M. Ashok
Faster Region-based Convolutional Neural Networks with You Only Look Once multi-stage caries lesion from oral panoramic X-ray images. - Kusum Yadav
A novel coarse-to-fine computational method for three-dimensional landmark detection to perform hard-tissue cephalometric analysis. - Chiranjit Dutta
Effectiveness of deep learning in early-stage oral cancer detections and classification using histogram of oriented gradients. - Surbhi Vijh, Neetu Gupta
New bag of features using reinforcement Aquila optimization and weighted Bayesian Gaussian mixture modelling for dental images.
Volume 41, Number 7, July 2024
ICCCN-2022
- Deepak Gupta
Special issue on International conference on computing and communication networks (ICCCN2022). - Minni Jain, Rajni Jindal
Code-mixed Hindi-English text correction using fuzzy graph and word embedding. - Ritu Bibyan
Bug severity prediction using LDA and sentiment scores: A CNN approach. - Anshika Arora
Deep-SQA: A deep learning model using motor activity data for objective sleep quality assessment assisting digital wellness in healthcare 5.0. - Dimple Sethi
Multi-feature gait analysis approach using deep learning in constraint-free environment. - Awanish Kumar Mishra
Cervical precancerous lesion classification using quantum invasive weed optimization with deep learning on biomedical pap smear images. - Qiming Zhang, Yang Li, Chenguang Guo
Marine radar monitoring IoT system and case study of target detection based on PPI images. - Parminder Pal Singh Bedi
Extractive text summarization for biomedical transcripts using deep dense LSTM-CNN framework. - Rajat Arora
Genetic algorithm-based price and warranty optimization in software systems. - Anurag Choudhary
Nature-inspired artificial bee colony-based hyperparameter optimization of CNN for anomaly detection in induction motor. - Subhashree Rout, Pradeep Kumar Mallick
An empirical hybridized Siamese network using hypercube natural aggregation algorithm for handling imbalance data learning. - Dongmei Jin, Zhongxu Zhang, Yanru Ma, Zhushan Dai, Lili Zhao, Tongyao Ma, Guoping Chen
Magnetic resonance imaging features to evaluate the neonatal hypoglycemia brain injury and investigation of related risk factors under the fuzzy C-means clustering intelligent algorithm. - Mahmoud Ragab
Hybrid firefly particle swarm optimisation algorithm for feature selection problems.
DATA SCIENCE APPROACHES FOR SUSTAINABLE DEVELOPMENT
- Serena Strazzullo
Data science approaches for sustainable development. - Widad Hassina Belkadi
A SCORPAN-based data warehouse for digital soil mapping and association rule mining in support of sustainable agriculture and climate change analysis in the Maghreb region. - Mark Anthony Camilleri
Artificial intelligence governance: Ethical considerations and implications for social responsibility. - Shivam Gupta
Digital innovation and transformation capabilities in a large company. - Madjid Tavana
A sustainable circular supply chain network design model for electric vehicle battery production using internet of things and big data. - Vaishali Sood
Progress and prospects of quantum computing in sustainable development: An analytical review. - Hui Yuan, Hong Nie
Edge computing driven sustainable development: A case study on professional farmer cultivation mechanism.
EDITORIAL
- Maria José Sousa
Expert systems supporting strategic decisions.
ORIGINAL ARTICLES
- Zi-Ren Wang, Xiaoxiang Hu
An improved particle swarm optimization algorithm for scheduling tasks in cloud environment. - Vitaliy Milke
Reduction of financial tick big data for intraday trading. - Thao Nguyen Da, Ming-Yuan Cho, Phuong Nguyen Thanh
Hourly load prediction based feature selection scheme and hybrid CNN-LSTM method for building's smart solar microgrid. - Yuan Zhang, Chuanyi Li
Judicial intelligent assistant system: Extracting events from Chinese divorce cases to detect disputes for the judge. - Majed Alsanea, Ashit Kumar Dutta:
Detecting cardiovascular diseases from radiographic images using deep learning techniques. - Prabhjot Kaur, Anand Muni Mishra, Nitin Goyal
A novel hybrid CNN methodology for automated leaf disease detection and classification. - R. R. Rejimol Robinson
Improved minority attack detection in Intrusion Detection System using efficient feature selection algorithms. - Gang Tian, Jiachang Wang, Rui Wang
A multi-label social short text classification method based on contrastive learning and improved ml-KNN. - Ben Watkins
Artificial intelligence for the practical assessment of nutritional status in emergencies.
Volume 41, Number 8, August 2024
COMPUTING, INTELLIGENCE AND DATA ANALYTICS FOR WISDOM (CIDA4Wisdom)
- Süleyman Eken
Special issue on computing, intelligence and data analytics for wisdom (CIDA4Wisdom). - Nagihan Yagmur
A new computer-aided diagnostic method for classifying anaemia disease: Hybrid use of Tree Bagger and metaheuristics.
REVIEW
- Ankita Gandhi
Hate speech detection: A comprehensive review of recent works.
SURVEY ARTICLES
- Imene Bensalem
Toxic language detection: A systematic review of Arabic datasets. - Leandro A. Passos
A review of deep learning-based approaches for deepfake content detection.
ORIGINAL ARTICLES
- Fatemeh Daneshfar
Enhanced text classification through an improved discrete laying chicken algorithm. - Roberto Prado-Rodriguez
Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications. - M. Nanthini
O-SCDR: Optimal cluster with attention based shared-account cross-domain sequential recommendation using deep reinforcement learning technique. - Fernando Guedan Pecker, Cristian Ramírez-Atencia
Airport take-off and landing optimization through genetic algorithms. - Amit Chougule
A novel generative adversarial network-based super-resolution approach for face recognition. - Marco Siino
Backtranslate what you are saying and I will tell who you are. - Lin Zhang, Shtwai Alsubai
Leveraging quantum-inspired chimp optimization and deep neural networks for enhanced profit forecasting in financial accounting systems. - Lei Yang, Jianzhong Cao, Weining Chen, Hao Wang, Lang He
An efficient multi-scale transformer for satellite image dehazing. - Lin Li
Probabilistic interval prediction method based on shape-adaptive quantile regression. - Yeoung Je Choi
SAFE: Unsupervised image feature extraction using self-attention based feature extraction network. - José Luis Morillo-Salas, Verónica Bolón-Canedo
The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification. - Sangeeta Duhan
An analysis to investigate plant disease identification based on machine learning techniques. - Meesala Shobha Rani
Meta heuristic approaches for sentiment analysis. - Leonardo Trujillo
Effects of feature reduction on emotion recognition using EEG signals and machine learning. - Dongeon Kim, Qinglong Li
AXCF: Aspect-based collaborative filtering for explainable recommendations. - Iti Chaturvedi
Predicting word vectors for microtext. - Yiyin Zhou
Linking negative herding effect to online public opinion: A new BiGADG approach for sentiment classification. - Jinglin Zhang, Bo Shen
A semantic guide-based embedding method for knowledge graph completion. - Hatice Nizam Ozogur
A heuristic-based hybrid sampling method using a combination of SMOTE and ENN for imbalanced health data. - Bahareh Amirshahi, Salim Lahmiri
Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data.
Volume 41, Number 9, September 2024
Review
- Ana Fatima
Machine learning approaches for neurological disease prediction: A systematic review.
Original Article
- Shashi Shekhar Kumar
Rule based complex event processing for IoT applications: Review, classification and challenges. - Esraa Hassan, M. Shamim Hossain
Ultimate pose estimation: A comparative study. - Hamdan Al Jowair, Mansour Alsulaiman, Ghulam Muhammad
Multi-focal channel attention for medical image segmentation. - Xingzhu Liang
DFEF: Diversify feature enhancement and fusion for online knowledge distillation. - Alexander Mulet de los Reyes, Victoria Hyde Lord, María Elena Buemi, Daniel Gandía, Luís Gómez Déniz, Maikel Noriega Alemán, Cecilia Suárez
Combined use of radiomics and artificial neural networks for the three-dimensional automatic segmentation of glioblastoma multiforme. - Zihan Yao, Yanpeng Qu
Local representation-based neighbourhood for robust classification. - B. S. Suresh
Efficient customer behaviour prediction in Indian metropolitan cities for E-commerce applications. - Anita Herrera
Forecasting hotel cancellations through machine learning. - P. Britto Corthis, G. P. Ramesh
A Meta heuristic based deep learning classifier for effective dengue disease prediction in IoT-Fog system. - Osman Taylan
AI based fuzzy MCDM models: Comparison and evaluation of dissimilar outcomes, an application to enhance pilot recruitment process. - Sasirekha Natarajan, Smitha Kurian
An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory. - Tiago Lima Marinho, Diego Carvalho do Nascimento
Optimization on selecting XGBoost hyperparameters using meta-learning. - R. Shobana, Rajesh Kumar
Nonlinear dynamical system approximation and adaptive control based on hybrid-feed-forward recurrent neural network: Simulation and stability analysis. - Muhammad Salman
Doc-KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata. - Ramya Paramasivam, Sujata N. Patil, Srinivas Konda, K. L. Hemalatha
Lung cancer computed tomography image classification using Attention based Capsule Network with dispersed dynamic routing. - Subham Pal
Comparison of nature-inspired algorithms in finite element-based metaheuristic optimisation of laminated shells. - Jobin Wilson
Multi-armed bandit based online model selection for concept-drift adaptation. - Mingjing Pei
Robust anomaly detection in industrial images by blending global-local features. - Sadjad Rezvani
ABANet: Attention boundary-aware network for image segmentation.
Volume 41, Number 10, October 2024
Review
- Jorge M. Arevalillo
Data science methods for response, incremental response and rate sensitivity to response modelling in banking. - Manmeet Kaur, Munish Kumar
Facial emotion recognition: A comprehensive review.
Original Article
- Palvinder Singh Mann
A compact artificial bee colony metaheuristic for global optimization problems. - Jeongik Cho
Efficient integration of perceptual variational autoencoder into dynamic latent scale generative adversarial network. - Marisa Bernabeu
Multi-label logo recognition and retrieval based on weighted fusion of neural features. - Jinyan Chen
Enhancing depression detection: A multimodal approach with text extension and content fusion. - Tarun Kumer Biswas
Generalized hop-based approaches for identifying influential nodes in social networks. - Kapil Gupta, Varun Bajaj, Deepak Kumar Jain, Amir Hussain
Multi-model deep learning system for screening human monkeypox using skin images. - Gazi Md Daud Iqbal
A supervised learning tool for heatwave predictions using daily high summer temperatures. - Ajay Singh, Rajesh Kumar Dhanaraj
Barzilai Borwein Incremental Grey Polynomial Regression for train delay prediction. - Dosti Aziz
Automatic cross- and multi-lingual recognition of dysphonia by ensemble classification using deep speaker embedding models. - Myriam Bounhas, Bilel Elayeb
Arabic text classification based on analogical proportions. - Jianbin Zheng, Chaojie Wang, Liping Huang, Yifan Gao, Ruoxi Yan, Chunbo Yang, Yang Gao, Yu Wang
Convolution-enhanced vision transformer method for lower limb exoskeleton locomotion mode recognition. - MyeongHoe Lee
Adversarial attack vulnerability for multi-biometric authentication system. - Mal Hari Prasad, Swarnalatha Purushotham:
Marine predators optimization with deep learning model for video-based facial expression recognition. - Tong Ji
ImageVeriBypasser: An image verification code recognition approach based on Convolutional Neural Network. - Sasan Barak, Shima Javanmard, Reza Moghdani
Dual resource constrained flexible job shop scheduling with sequence-dependent setup time. - Liguo Dong, Xinliang Ye, Libin Zhuang, Ruidian Zhan, M. Shamim Hossain
AES software and hardware system co-design for resisting side channel attacks. - Yuanyue Feng, Yuhong Luo, Nianjiao Peng
Crowdfunding performance prediction using feature-selection-based machine learning models.
Survey Article
- Abdenour Hadid
When geoscience meets generative AI and large language models: Foundations, trends, and future challenges.
Volume 41, Number 11, November 2024
Review
- Claudia García-Navarro
The study of engagement at work from the artificial intelligence perspective: A systematic review. - Harmandeep Kaur, Veenu Rani, Munish Kumar
Human activity recognition: A comprehensive review. - Arushi Garg, Smridhi Gupta, Soumya Vats, Palak Handa
Prospect of large language models and natural language processing for lung cancer diagnosis: A systematic review.
Original Article
- Liangchen Xu, Chonghui Guo
Imbalanced survival prediction for gastric cancer patients based on improved XGBoost with cost sensitive and focal loss. - Daniel González-Cortés
Portfolio construction using explainable reinforcement learning. - V. Rathinapriya
Adaptive weighted feature fusion for multiscale atrous convolution-based 1DCNN with dilated LSTM-aided fake news detection using regional language text information. - Sen Wu, Wei Wang
An EEMD-LSTM, SVR, and BP decomposition ensemble model for steel future prices forecasting. - Damir Korencic
What distinguishes conspiracy from critical narratives? A computational analysis of oppositional discourse. - Lei Pan
Multimodal dynamic fusion framework: Multilevel feature fusion guided by prompts. - Anil Kumar
Entropy-based hybrid sampling (EHS) method to handle class overlap in highly imbalanced dataset. - GwanPil Kim, Jason J. Jung
Health indicator construction based on normal states through FFT-graph embedding. - Mohammed J. F. Alenazi
ResiSC: A system for building resilient smart city communication networks. - Ali Areshey
Exploring transformer models for sentiment classification: A comparison of BERT, RoBERTa, ALBERT, DistilBERT, and XLNet. - Jinhuan Ge
Semantic community query in a large-scale attributed graph based on an attribute cohesiveness optimization strategy. - Meltem Kurt Pehlivanoglu
Comparative analysis of paraphrasing performance of ChatGPT, GPT-3, and T5 language models using a new ChatGPT generated dataset: ParaGPT.
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