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Lokesh Malviya

ORCID: 0009-0005-0188-237X
Observed ORCIDs: 0009-0005-0188-237X, 0000-0002-3096-1852
OpenAlex ID: A5012460846
Hybrid Deep Learning Approach for Stress Detection Using Decomposed EEG Signals
2023 · Bishwajit Roy, Lokesh Malviya, et al. · Diagnostics · 76
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A novel technique for stress detection from EEG signal using hybrid deep learning model
2022 · Lokesh Malviya, Sandip Mal · Neural Computing and Applications · 76
A hybrid deep neural net learning model for predicting Coronary Heart Disease using Randomized Search Cross-Validation Optimization
2023 · Neeraj Sharma, Lokesh Malviya, et al. · Decision Analytics Journal · 56
CIS feature selection based dynamic ensemble selection model for human stress detection from EEG signals
2023 · Lokesh Malviya, Sandip Mal · Cluster Computing · 27
EEG Data Analysis for Stress Detection
2021 · Lokesh Malviya, Sandip Mal, et al. · IEEE International Conference on Communication Systems and Network Technologies (CSNT) · 22
Early stage HIV diagnosis using optimized ensemble learning technique
2023 · Ramesh Saha, Lokesh Malviya, et al. · Biomedical Signal Processing and Control · 21
Temporal analysis of computational economics: a topic modeling approach
2024 · Malvika Mishra, Santosh Kumar Vishwakarma, et al. · International Journal of Data Science and Analytics · 18
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Optimized hybrid deep learning for cross-linguistic sentiment analysis: a novel approach
2025 · Vipin Jain, Lokesh Malviya, et al. · Journal of Cloud Computing Advances Systems and Applications · 17
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Mental Stress Level Detection Using LSTM for WESAD Dataset
2023 · Lokesh Malviya, Sandip Mal, et al. · Lecture notes in networks and systems · 16
Advancing EEG based stress detection using spiking neural networks and convolutional spiking neural networks
2025 · Aaditya Joshi, Paramveer Singh Matharu, et al. · Scientific Reports · 13
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Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO
2025 · Sachikanta Dash, Sasmita Padhy, et al. · International Journal of Computational Intelligence Systems · 12
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Data Transformation: A Preprocessing Stage in Machine Learning Regression Problems
2023 · Akshay Jadhav, Devashish Dhaulakhandi, et al. · Auerbach Publications eBooks · 11
WITHDRAWN: Backorder prediction in the supply chain using machine learning
2021 · Lokesh Malviya, Pankaj Chittora, et al. · Materials Today Proceedings · 11
Mental Stress Detection Using EEG Extracted Frequency Bands
2022 · Lokesh Malviya, Sarthak Khandelwal, et al. · Lecture notes in networks and systems · 6
Human Stress Detection from SWCT EEG Data Using Optimised Stacked Deep Learning Model
2023 · Akshay Jadhav, Lokesh Malviya, et al. · Springer tracts in human-centered computing · 4
WITHDRAWN: Comparing performance of multiple classifiers for regression and classification machine learning problems using structured datasets
2021 · Jitendra Shreemali, Lokesh Malviya, et al. · Materials Today Proceedings · 4
Diabetes Classification Using Machine Learning and Deep Learning Models
2021 · Lokesh Malviya, Sandip Mal, et al. · Lecture notes in electrical engineering · 4
Optimization-Based Hyperparameter Tuning Using Extra Trees to Classify Type-2-Diabetes Mellitus
2025 · Lokesh Malviya, Ramraj Dangi, et al. · International Conference on Computational, Communication and Information Technology (ICCCIT) · 2
Establishing a Secure and Reliable AI-Driven Framework for Operations in the Industrial Internet of Things (SCM) Using Blockchain and DL Technology
2024 · Fateh Bahadur Kunwar, Hitendra Singh, et al. · International Conference on Innovative Sustainable Computational Technologies (CISCT) · 2
Identification of Potato Disease Using Deep Neural Network Model and Image Segmentation
2026 · Prashant Shrivastava, Ramraj Dangi, et al. · Lecture notes in electrical engineering · 1
Stress detection using EEG signals: comparative analysis of machine learning models and feature extraction
2025 · Goldy Saini, Rakesh Kumar, et al. · Life Cycle Reliability and Safety Engineering · 1
AI-Driven Multi-Agent Systems for Optimized Resource Allocation in 5G and Beyond Networks with Edge Computing
2025 · Antima Jain, Anand Singh Rajawat, et al. · IEEE World Conference on Applied Intelligence and Computing (AIC) · 1
Decoding Human Activities: Algorithms, Frameworks, and Challenges in Recognition Systems
2025 · Mohd Aquib Ansari, Arvind Mewada, et al. · Advances in computational intelligence and robotics book series · 1
A reinforcement learning-assisted hybrid optimization framework for energy-aware task offloading in secure IoMT-cloud healthcare environments
2026 · Cenitta D, Arul N, et al. · Results in Control and Optimization
Mental Stress Prediction Using EEG Signals
2026 · Aditya Raghuvanshi, Akshay Jadhav, et al. · CRC Press eBooks
Works count: 33
Citation count: 402
H-index: 11
I10-index: 13
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