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S-WD-EEMD: A hybrid framework for imbalanced sEMG signal analysis in diagnosis of human knee abnormality

PloS one, 2024-05, Vol.19 (5), p.e0301263

2024

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Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal

Physical and engineering sciences in medicine, 2021-12, Vol.44 (4), p.1297-1309

2021

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sEMG-based deep learning framework for the automatic detection of knee abnormality

Signal, image and video processing, 2023-06, Vol.17 (4), p.1087-1095

2023

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Analyzing the impact of activation functions on the performance of the data-driven gait model

Results in engineering, 2023-06, Vol.18, p.101029, Article 101029

2023

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supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview

Biomedical engineering letters, 2022-11, Vol.12 (4), p.343-358

2022

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PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal

IEEE transactions on human-machine systems, 2023-12, Vol.53 (6), p.945-954

2023

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Hardware Implementation for Lower Limb Surface EMG Measurement and Analysis Using Explainable AI for Activity Recognition

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-9

2022

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Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition

Engineering applications of artificial intelligence, 2024-11, Vol.137, p.109119, Article 109119

2024

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Data-driven gait model for bipedal locomotion over continuous changing speeds and inclines

Autonomous robots, 2023-08, Vol.47 (6), p.753-769

2023

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Kinematic Modeling for Biped Robot Gait Trajectory Using Machine Learning Techniques

Journal of bionics engineering, 2022-03, Vol.19 (2), p.355-369

2022

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Hybrid Deep Learning Approaches for sEMG Signal-Based Lower Limb Activity Recognition

Mathematical problems in engineering, 2022-11, Vol.2022, p.1-12

2022

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A Hybrid WD-EEMD sEMG Feature Extraction Technique for Lower Limb Activity Recognition

IEEE sensors journal, 2021-09, Vol.21 (18), p.20431-20439

2021

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Human knee abnormality detection from imbalanced sEMG data

Biomedical signal processing and control, 2021-04, Vol.66, p.102406, Article 102406

2021

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Implementation of machine learning algorithms for automated human gait activity recognition using sEMG signals

International journal of biomedical engineering and technology, 2023, Vol.42 (2), p.150-166

2023

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Implementation of machine learning algorithms for automated human gait activity recognition using sEMG signals

International journal of biomedical engineering and technology, 2023, Vol.42 (2), p.150-166

2023

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An analytical approach for selection of a logistics provider

Management decision, 2010-03, Vol.48 (3), p.403-418

2010

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Mapping Model for Genesis of Joint Trajectory using Human Gait Dataset

2021 Smart Technologies, Communication and Robotics (STCR), 2021, p.1-5

2021

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Efficient Contaminant Identification in sEMG Signals using Machine Learning

2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T), 2024, p.25-30

2024

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AI-Powered Early Detection of Musculoskeletal Disorders in Garment Industry Operators

2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), 2024, p.1-7

2024

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XAI-Driven sEMG Feature Analysis for Hand Gestures

2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T), 2024, p.19-24

2024

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Data Driven Kinematic Modeling of Human Gait for Synthesize Joint Trajectory

2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON), 2021, Vol.1, p.27-32

2021

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Comparative Assessment among Different Convolutional Neural Network Architectures for Alzheimer's Disease Detection

2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2021, p.1-6

2021

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AI-Enhanced Diagnosis: Pediatric Chest X-ray Classification for Bronchiolitis and Pneumonia

2023 Seventh International Conference on Image Information Processing (ICIIP), 2023, p.753-758

2023

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Implementation of Machine Learning Algorithms For Human Activity Recognition

2021 3rd International Conference on Signal Processing and Communication (ICPSC), 2021, p.440-444

2021

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S-WD-EEMD: A hybrid framework for imbalanced sEMG signal analysis in diagnosis of human knee abnormality

Voting-based 1D CNN model for human lower limb activity recognition using sEMG signal

sEMG-based deep learning framework for the automatic detection of knee abnormality

Analyzing the impact of activation functions on the performance of the data-driven gait model

supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination

Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview

PC-GNN: Pearson Correlation-Based Graph Neural Network for Recognition of Human Lower Limb Activity Using sEMG Signal

Hardware Implementation for Lower Limb Surface EMG Measurement and Analysis Using Explainable AI for Activity Recognition

Surface electromyography based explainable Artificial Intelligence fusion framework for feature selection of hand gesture recognition

Data-driven gait model for bipedal locomotion over continuous changing speeds and inclines

Kinematic Modeling for Biped Robot Gait Trajectory Using Machine Learning Techniques

Hybrid Deep Learning Approaches for sEMG Signal-Based Lower Limb Activity Recognition

A Hybrid WD-EEMD sEMG Feature Extraction Technique for Lower Limb Activity Recognition

Human knee abnormality detection from imbalanced sEMG data

Implementation of machine learning algorithms for automated human gait activity recognition using sEMG signals

Implementation of machine learning algorithms for automated human gait activity recognition using sEMG signals

An analytical approach for selection of a logistics provider

Mapping Model for Genesis of Joint Trajectory using Human Gait Dataset

Efficient Contaminant Identification in sEMG Signals using Machine Learning

AI-Powered Early Detection of Musculoskeletal Disorders in Garment Industry Operators

XAI-Driven sEMG Feature Analysis for Hand Gestures

Data Driven Kinematic Modeling of Human Gait for Synthesize Joint Trajectory

Comparative Assessment among Different Convolutional Neural Network Architectures for Alzheimer's Disease Detection

AI-Enhanced Diagnosis: Pediatric Chest X-ray Classification for Bronchiolitis and Pneumonia

Implementation of Machine Learning Algorithms For Human Activity Recognition

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