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Ravinesh C. Deo
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2020 – today
- 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
- [j48]Lionel P. Joseph, Ravinesh C. Deo
, David Casillas-Pérez
, Ramendra Prasad
, Nawin Raj
, Sancho Salcedo-Sanz
:
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) - [j47]Shiveel Raj
, Ravinesh C. Deo, Ekta Sharma, Ramendra Prasad
, Toan Dinh, Sancho Salcedo-Sanz
:
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) - [j46]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) - [j45]Christopher P. Davey
, Ismail Shakeel
, Ravinesh C. Deo
, Ekta Sharma
, Sancho Salcedo-Sanz
, Jeffrey Soar
:
End-to-end learning of adaptive coded modulation schemes for resilient wireless communications. Appl. Soft Comput. 159: 111672 (2024) - [j44]Sujan Ghimire, Ravinesh C. Deo
, David Casillas-Pérez
, Sancho Salcedo-Sanz, S. Ali Pourmousavi
, U. Rajendra Acharya:
Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model. Eng. Appl. Artif. Intell. 132: 107918 (2024) - [j43]Sujan Ghimire, Ravinesh C. Deo
, S. Ali Pourmousavi
, David Casillas-Pérez
, Sancho Salcedo-Sanz:
Point-based and probabilistic electricity demand prediction with a Neural Facebook Prophet and Kernel Density Estimation model. Eng. Appl. Artif. Intell. 135: 108702 (2024) - [j42]Salvin S. Prasad
, Ravinesh C. Deo
, Nathan J. Downs
, David Casillas-Pérez
, Sancho Salcedo-Sanz
, Alfio V. Parisi
:
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) - [j41]Christopher P. Davey
, Ismail Shakeel
, Ravinesh C. Deo
, Sancho Salcedo-Sanz
:
Deep Learning Based Over-the-Air Training of Wireless Communication Systems without Feedback. Sensors 24(10): 2993 (2024) - 2023
- [j40]Sagthitharan Karalasingham, Ravinesh C. Deo
, David Casillas-Pérez
, Nawin Raj
, Sancho Salcedo-Sanz
:
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
, Ravinesh C. Deo
, Prabal Datta Barua
, Aruna Devi
, Jeffrey Soar
, U. Rajendra Acharya
:
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
, Anjan Gudigar
, Sarvesh Bhandary, Massimo Salvi
, Ravinesh C. Deo
, Prabal Datta Barua
, Edward J. Ciaccio, Filippo Molinari
, U. Rajendra Acharya
:
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
, Mahesh Anil Inamdar, Ajay Hegde
, Aruna Devi
, Chui Ping Ooi
, Ravinesh C. Deo, Prabal Datta Barua, Filippo Molinari
, Edward J. Ciaccio, U. Rajendra Acharya
:
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
, Ravinesh C. Deo
, Siuly Siuly, Mumtaz Ali
:
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
, Sancho Salcedo-Sanz, Nathan J. Downs, David Casillas-Pérez
, Alfio V. Parisi
:
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
, Jeffrey Soar
, Prabal Datta Barua
, Oliver Faust, Nusrat Homaira, Adam Jaffe
, Arm Luthful Kabir, U. Rajendra Acharya
:
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
, Thong Nguyen-Huy
, Ramendra Prasad, Ravinesh C. Deo, David Casillas-Pérez
, Sancho Salcedo-Sanz, Binayak Bhandari
:
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction. Cogn. Comput. 15(2): 645-671 (2023) - [j32]David B. Johnston
, Keith G. Pembleton
, Neil I. Huth, Ravinesh C. Deo:
Comparison of machine learning methods emulating process driven crop models. Environ. Model. Softw. 162: 105634 (2023) - [j31]Farina Riaz, Shahab A. Abdulla
, Hajime Suzuki
, Srinjoy Ganguly
, Ravinesh C. Deo
, Susan Hopkins:
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach. Sensors 23(5): 2753 (2023) - [j30]Christopher P. Davey
, Ismail Shakeel
, Ravinesh C. Deo
, Sancho Salcedo-Sanz
:
Channel-Agnostic Training of Transmitter and Receiver for Wireless Communications. Sensors 23(24): 9848 (2023) - [c4]Jeffrey Soar, Shu Lih Oh
, Hui Wen Loh
, Aletha Ward
, Ekta Sharma
, Ravinesh C. Deo
, Prabal Datta Barua
, Ru San Tan
, Eliezer Rinen, U. Rajendra Acharya
:
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
, Ravinesh C. Deo
, Nathan J. Downs, Damien P. Igoe
, Alfio V. Parisi
, Jeffrey Soar
:
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
, Ravinesh C. Deo
, Shahjahan Khan, Aruna Devi
, Adewuyi Ayodele Adeyinka
, Armando A. Apan
, Zaher Mundher Yaseen
:
Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models. IEEE Access 10: 45112-45136 (2022) - [j27]Christopher P. Davey
, Ismail Shakeel
, Ravinesh C. Deo
, Sancho Salcedo-Sanz
, Jeffrey Soar
:
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
, Binayak Bhandari
, David Casillas-Pérez
, Ravinesh C. Deo, Sancho Salcedo-Sanz:
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
, Ekta Sharma
, S. Janifer Jabin Jui, Ravinesh C. Deo
, Thong Nguyen-Huy
, Mumtaz Ali
:
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors. Remote. Sens. 14(5): 1136 (2022) - 2021
- [j24]Mohammed Moishin
, Ravinesh C. Deo
, Ramendra Prasad
, Nawin Raj
, Shahab A. Abdulla
:
Designing Deep-Based Learning Flood Forecast Model With ConvLSTM Hybrid Algorithm. IEEE Access 9: 50982-50993 (2021) - [j23]W. J. M. Lakmini Prarthana Jayasinghe
, Ravinesh C. Deo
, Afshin Ghahramani, Sujan Ghimire
, Nawin Raj
:
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
, Mohammed Diykh, Shahab A. Abdulla
, Siuly Siuly
, Jonathan H. Green
, Ravinesh C. Deo:
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, Kourosh Mohammadi, Özgür Kisi, M. Farahani, A. Hasani, Ravinesh C. Deo, Zaher Mundher Yaseen:
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
, Ravinesh C. Deo
, Nawin Raj, Afshin Ghahramani
, Qi Feng
, Zhenliang Yin
, Linshan Yang
:
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
, Wanrong Hong, Ooi Chui Ping
, Subrata Chakraborty
, Prabal Datta Barua
, Ravinesh C. Deo
, Jeffrey Soar
, Elizabeth Emma Palmer, U. Rajendra Acharya
:
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
, Ahmad Sharafati
, Achite Mohammed
, Sinan Q. Salih
, Ravinesh C. Deo
, Nadhir Al-Ansari
, Zaher Mundher Yaseen
:
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
, Zaher Mundher Yaseen
, Nadhir Al-Ansari
, Thong Nguyen-Huy
, Trevor Ashley Mcpherson Langlands
, Linda Galligan
:
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
, Ravinesh C. Deo
, Ramendra Prasad
, Alfio V. Parisi, Nawin Raj:
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
, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker
, Hua Wang:
Ensemble neural network approach detecting pain intensity from facial expressions. Artif. Intell. Medicine 109: 101954 (2020) - [j13]Ghazal Bargshady
, Xujuan Zhou, Ravinesh C. Deo, Jeffrey Soar, Frank Whittaker
, Hua Wang
:
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
, Xujuan Zhou, Ravinesh C. Deo
, Jeffrey Soar, Frank Whittaker
, Hua Wang
:
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
, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
:
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
, Masoud Sattarpour, Ravinesh C. Deo
, Elham Fijani
, Jan Franklin Adamowski:
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
, Ji Zhang, Xiaohui Tao
, Xiaodong Zhu, Hongzhou Li, Liang Chang, Ravinesh C. Deo
:
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
, Sungwon Kim, Mahsa Hasanpour Kashani, Vahid Karimi
, Maryam Izadkhah:
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
, Shahab A. Abdulla
, Khalid Saleh
, Ravinesh C. Deo
:
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
, Mohammed Diykh
, Raid Luaibi Laft
, Khalid Saleh
, Ravinesh C. Deo
:
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
, Jeffrey Soar, Xujuan Zhou, Ravinesh C. Deo
, Frank Whittaker, Hua Wang
:
A Joint Deep Neural Network Model for Pain Recognition from Face. ICCCS 2019: 52-56 - 2018
- [j5]Mohanad S. Al-Musaylh, Ravinesh C. Deo
, Jan Franklin Adamowski, Yan Li:
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
, Ameer Hilal, Abbas M. Abd
, Laura Cornejo-Bueno, Sancho Salcedo-Sanz, Moncef L. Nehdi:
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model. Adv. Eng. Softw. 115: 112-125 (2018) - [j3]Mumtaz Ali
, Ravinesh C. Deo
, Nathan J. Downs, Tek Maraseni
:
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
, Pijush Samui, Özgür Kisi, Cihan Mert
, Rasoul Mirabbasi
, Siavash Gavili, Zaher Mundher Yaseen:
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
, Ravinesh C. Deo
, Vivekananda Byrareddy, Jan Franklin Adamowski, Shahbaz Mushtaq, Van Phuong Nguyen:
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
, Jan Franklin Adamowski:
Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria. ICMLA 2015: 318-324
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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