Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition.
Expert Syst. Appl., November, 2023
Towards an efficient machine learning model for financial time series forecasting.
Soft Comput., August, 2023
Towards an efficient backbone for preserving features in speech emotion recognition: deep-shallow convolution with recurrent neural network.
Neural Comput. Appl., 2023
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds.
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Expert Syst. Appl., 2023
Towards designing a generic and comprehensive deep reinforcement learning framework.
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Appl. Intell., 2023
vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM.
CoRR, 2022
HCILab at Memotion 2.0 2022: Analysis of Sentiment, Emotion and Intensity of Emotion Classes from Meme Images using Single and Multi Modalities (short paper).
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022
A Prioritized objective actor-critic method for deep reinforcement learning.
Neural Comput. Appl., 2021
Fruit-CoV: An Efficient Vision-based Framework for Speedy Detection and Diagnosis of SARS-CoV-2 Infections Through Recorded Cough Sounds.
CoRR, 2021
A Hybrid Approach Using Decision Tree and Multiple Linear Regression for Predicting Students' Performance.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2021
Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms.
Proceedings of the Future Data and Security Engineering - 8th International Conference, 2021
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications.
IEEE Trans. Cybern., 2020
A multi-objective deep reinforcement learning framework.
Eng. Appl. Artif. Intell., 2020
Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework.
CoRR, 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning.
CoRR, 2020
A Review of Situation Awareness Assessment Approaches in Aviation Environments.
IEEE Syst. J., 2019
Multi-agent behavioral control system using deep reinforcement learning.
Neurocomputing, 2019
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery.
Proceedings of the 2019 IEEE International Systems Conference, 2019
Multi-Agent Deep Reinforcement Learning with Human Strategies.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications.
CoRR, 2018
A Human Mixed Strategy Approach to Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
A Soft Computing Fusion for River Flow Time Series Forecasting.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey.
IEEE Access, 2017
Energy-efficient Models for Coverage Problem in Sensor Networks with Adjustable Ranges.
Ad Hoc Sens. Wirel. Networks, 2012
Employing Energy-Efficient Patterns for Coverage Problem to Extend the Network Lifetime.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011
Energy-Efficient Models for Coverage Problem Using Sensors with Adjustable Sensing Ranges.
Proceedings of the 2010 IEEE Wireless Communications and Networking Conference, 2010
Greedy Forwarding with Virtual Destination Strategy for Geographic Routing in Wireless Sensor Networks.
Proceedings of the Prodeedings of the 2010 International Conference on Computational Science and Its Applications, 2010