Ravinesh C. Deo
Orcid: 0000-0002-2290-6749
According to our database1,
Ravinesh C. Deo
authored at least 48 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model.
Expert Syst. Appl., February, 2024
Hybrid deep learning model for wave height prediction in Australia's wave energy region.
Appl. Soft Comput., January, 2024
2023
Sensors, December, 2023
Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022).
Comput. Methods Programs Biomed., November, 2023
Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.
Comput. Methods Programs Biomed., November, 2023
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives.
Comput. Biol. Medicine, September, 2023
Environ. Model. Softw., April, 2023
Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach.
Sensors, March, 2023
Hybrid Convolutional Neural Network-Multilayer Perceptron Model for Solar Radiation Prediction.
Cogn. Comput., March, 2023
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition.
Comput. Methods Programs Biomed., February, 2023
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples.
CoRR, 2023
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models.
CoRR, 2023
Downscaling Surface Albedo to Higher Spatial Resolutions With an Image Super-Resolution Approach and PROBA-V Satellite Images.
IEEE Access, 2023
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022).
IEEE Access, 2023
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images.
IEEE Access, 2023
A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes.
Proceedings of the 22nd International Symposium on Communications and Information Technologies, 2023
Proceedings of the Information Integration and Web Intelligence, 2023
2022
Kernel Ridge Regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors.
Remote. Sens., 2022
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia.
Eng. Appl. Artif. Intell., 2022
Cloud Affected Solar UV Prediction With Three-Phase Wavelet Hybrid Convolutional Long Short-Term Memory Network Multi-Step Forecast System.
IEEE Access, 2022
Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models.
IEEE Access, 2022
Using Sequence-to-Sequence Models for Carrier Frequency Offset Estimation of Short Messages and Chaotic Maps.
IEEE Access, 2022
2021
Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021).
Sensors, 2021
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., 2021
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis.
Frontiers Neuroinformatics, 2021
Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models.
Comput. Electron. Agric., 2021
Artif. Intell. Medicine, 2021
IEEE Access, 2021
Deep Multi-Stage Reference Evapotranspiration Forecasting Model: Multivariate Empirical Mode Decomposition Integrated With the Boruta-Random Forest Algorithm.
IEEE Access, 2021
2020
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., 2020
A general extensible learning approach for multi-disease recommendations in a telehealth environment.
Pattern Recognit. Lett., 2020
An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks.
Neural Comput. Appl., 2020
Enhanced deep learning algorithm development to detect pain intensity from facial expression images.
Expert Syst. Appl., 2020
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications.
Expert Syst. Appl., 2020
The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space.
Appl. Soft Comput., 2020
Artif. Intell. Medicine, 2020
Deep Air Quality Forecasts: Suspended Particulate Matter Modeling With Convolutional Neural and Long Short-Term Memory Networks.
IEEE Access, 2020
Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model.
IEEE Access, 2020
Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses.
IEEE Access, 2020
2019
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm.
Expert Syst. Appl., 2019
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals.
Biomed. Signal Process. Control., 2019
Proceedings of the IEEE 4th International Conference on Computer and Communication Systems, 2019
2018
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors.
Comput. Electron. Agric., 2018
Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties.
Comput. Electron. Agric., 2018
Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting.
Comput. Electron. Agric., 2018
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model.
Adv. Eng. Softw., 2018
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia.
Adv. Eng. Informatics, 2018
2015
Prediction of SPEI Using MLR and ANN: A Case Study for Wilsons Promontory Station in Victoria.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015