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Ravinesh C. Deo
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2020 – today
- 2025
- [j56]Sreeni Chadalavada, Süleyman Yaman
, Abdulkadir Sengür
Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification. IEEE Access 13: 69500-69512 (2025) - [j55]Madhav R. Acharya, Ravinesh C. Deo
Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024). Comput. Methods Programs Biomed. 259: 108506 (2025) - [j54]Madhav R. Acharya
EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals. Comput. Methods Programs Biomed. 262: 108652 (2025) - [j53]Hai Tao, Mohammed Suleman Aldlemy, Mohammed Ayad Saad, Swee Pin Yeap, Atheer Y. Oudah, Omer A. Alawi, Leonardo Goliatt, Shamsad Ahmad, Zaher Mundher Yaseen, Ravinesh C. Deo
Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability. Eng. Appl. Artif. Intell. 143: 109946 (2025) - [c5]Ekta Sharma, Ravinesh C. Deo, Christopher P. Davey, Brad D. Carter, Sancho Salcedo-Sanz:
Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities. WoWMoM 2025: 298-300 - 2024
- [j52]Lionel P. Joseph
Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. IEEE Access 12: 58750-58777 (2024) - [j51]Shiveel Raj
Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry. IEEE Access 12: 72530-72543 (2024) - [j50]Saad Islam
Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012-2023). IEEE Access 12: 176630-176685 (2024) - [j49]Abul Abrar Masrur Ahmed, S. Janifer Jabin Jui, Mohanad S. Al-Musaylh, Nawin Raj, Reepa Saha, Ravinesh C. Deo, Sanjoy Kumar Saha:
Hybrid deep learning model for wave height prediction in Australia's wave energy region. Appl. Soft Comput. 150: 111003 (2024) - [j48]Christopher P. Davey
End-to-end learning of adaptive coded modulation schemes for resilient wireless communications. Appl. Soft Comput. 159: 111672 (2024) - [j47]Sujan Ghimire, Shahab A. Abdulla, Lionel P. Joseph, Salvin Prasad, Angela Murphy, Aruna Devi, Prabal Datta Barua, Ravinesh C. Deo
Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course. Comput. Educ. Artif. Intell. 7: 100331 (2024) - [j46]Sujan Ghimire, Ravinesh C. Deo
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Eng. Appl. Artif. Intell. 132: 107918 (2024) - [j45]Sujan Ghimire, Ravinesh C. Deo
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. Eng. Appl. Artif. Intell. 135: 108702 (2024) - [j44]Salvin S. Prasad
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model. Expert Syst. Appl. 236: 121273 (2024) - [j43]Isuru Munasinghe
A Comprehensive Review of UAV-UGV Collaboration: Advancements and Challenges. J. Sens. Actuator Networks 13(6): 81 (2024) - [j42]Christopher P. Davey
Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback. Sensors 24(10): 2993 (2024) - [j41]Ekta Sharma
Artificial Intelligence-Empowered Doppler Weather Profile for Low-Earth-Orbit Satellites. Sensors 24(16): 5271 (2024) - 2023
- [j40]Sagthitharan Karalasingham, Ravinesh C. Deo
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images. IEEE Access 11: 5558-5577 (2023) - [j39]S. Janifer Jabin Jui
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022). IEEE Access 11: 71905-71924 (2023) - [j38]Mahesh Anil Inamdar, U. Raghavendra
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images. IEEE Access 11: 108982-108994 (2023) - [j37]U. Raghavendra, Anjan Gudigar, Aritra Paul, T. S. Goutham
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives. Comput. Biol. Medicine 163: 107063 (2023) - [j36]Mohammed Diykh, Shahab A. Abdulla
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition. Comput. Methods Programs Biomed. 229: 107305 (2023) - [j35]Salvin S. Prasad, Ravinesh C. Deo
Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction. Comput. Methods Programs Biomed. 241: 107737 (2023) - [j34]Shuting Xu, Ravinesh C. Deo
Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022). Comput. Methods Programs Biomed. 241: 107746 (2023) - [j33]Sujan Ghimire
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. Cogn. Comput. 15(2): 645-671 (2023) - [j32]David B. Johnston
Comparison of machine learning methods emulating process driven crop models. Environ. Model. Softw. 162: 105634 (2023) - [j31]Farina Riaz, Shahab A. Abdulla
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach. Sensors 23(5): 2753 (2023) - [j30]Christopher P. Davey
Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications. Sensors 23(24): 9848 (2023) - [c4]Jeffrey Soar, Shu Lih Oh
Deep Image Analysis for Microalgae Identification. iiWAS 2023: 280-292 - [c3]Ekta Sharma, Ismail Shakeel, Ravinesh C. Deo, Christopher P. Davey, Sancho Salcedo-Sanz:
A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes. ISCIT 2023: 37-42 - [i2]Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins:
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models. CoRR abs/2308.11112 (2023) - [i1]Farina Riaz, Shahab A. Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins:
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples. CoRR abs/2308.14930 (2023) - 2022
- [j29]Salvin S. Prasad
Cloud Affected Solar UV Prediction With Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System. IEEE Access 10: 24704-24720 (2022) - [j28]Thong Nguyen-Huy
Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models. IEEE Access 10: 45112-45136 (2022) - [j27]Christopher P. Davey
Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps. IEEE Access 10: 119814-119825 (2022) - [j26]Sujan Ghimire
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia. Eng. Appl. Artif. Intell. 112: 104860 (2022) - [j25]Abul Abrar Masrur Ahmed
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. Remote. Sens. 14(5): 1136 (2022) - 2021
- [j24]Mohammed Moishin
Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm. IEEE Access 9: 50982-50993 (2021) - [j23]W. J. M. Lakmini Prarthana Jayasinghe
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm. IEEE Access 9: 166695-166708 (2021) - [j22]Firas Sabar Miften
A new framework for classification of multi-category hand grasps using EMG signals. Artif. Intell. Medicine 112: 102005 (2021) - [j21]Maryam Bayat Varkeshi, Suraj Kumar Bhagat
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models. Comput. Electron. Agric. 185: 106158 (2021) - [j20]Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. Frontiers Neuroinformatics 15: 808339 (2021) - [j19]Abul Abrar Masrur Ahmed
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote. Sens. 13(4): 554 (2021) - [j18]Hui Wen Loh
Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021). Sensors 21(21): 7034 (2021) - 2020
- [j17]Tao Hai
Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model. IEEE Access 8: 12026-12042 (2020) - [j16]Ravinesh C. Deo
Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses. IEEE Access 8: 136697-136724 (2020) - [j15]Ekta Sharma
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks. IEEE Access 8: 209503-209516 (2020) - [j14]Ghazal Bargshady
Ensemble neural network approach detecting pain intensity from facial expressions. Artif. Intell. Medicine 109: 101954 (2020) - [j13]Ghazal Bargshady
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space. Appl. Soft Comput. 97(Part): 106805 (2020) - [j12]Ghazal Bargshady
Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Syst. Appl. 149: 113305 (2020) - [j11]Hanan Al-Hadeethi, Shahab A. Abdulla
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications. Expert Syst. Appl. 161: 113676 (2020) - [j10]Rahim Barzegar
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks. Neural Comput. Appl. 32(13): 9065-9080 (2020) - [j9]Raid Lafta
A general extensible learning approach for multi-disease recommendations in a telehealth environment. Pattern Recognit. Lett. 132: 106-114 (2020) - [j8]Mohammad Ali Ghorbani, Ravinesh C. Deo
Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia. Soft Comput. 24(16): 12079-12090 (2020)
2010 – 2019
- 2019
- [j7]Mohammed Diykh
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals. Biomed. Signal Process. Control. 54 (2019) - [j6]Shahab A. Abdulla
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. Expert Syst. Appl. 138 (2019) - [c2]Ghazal Bargshady
A Joint Deep Neural Network Model for Pain Recognition from Face. ICCCS 2019: 52-56 - 2018
- [j5]Mohanad S. Al-Musaylh, Ravinesh C. Deo
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Adv. Eng. Informatics 35: 1-16 (2018) - [j4]Zaher Mundher Yaseen, Ravinesh C. Deo
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. Adv. Eng. Softw. 115: 112-125 (2018) - [j3]Mumtaz Ali
Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting. Comput. Electron. Agric. 152: 149-165 (2018) - [j2]Hadi Sanikhani, Ravinesh C. Deo
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. Comput. Electron. Agric. 152: 242-260 (2018) - [j1]Louis Kouadio
Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties. Comput. Electron. Agric. 155: 324-338 (2018) - 2015
- [c1]Soukayna Mouatadid, Ravinesh C. Deo
Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria. ICMLA 2015: 318-324
Coauthor Index
U. Rajendra Acharya
aka: Udyavara Rajendra Acharya
aka: Udyavara Rajendra Acharya
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last updated on 2025-05-12 21:40 CEST by the dblp team
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