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Deep Learning Models for Yoga Pose Monitoring

Algorithms, 2022-11, Vol.15 (11), p.403

2022

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Corrections to "A Deep Learning Framework for the Classification of Brazilian Coins"

IEEE access, 2024, Vol.12, p.70000-70000

2024

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A Deep Learning Framework for the Classification of Brazilian Coins

IEEE access, 2023, Vol.11, p.109448-109461

2023

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Performance analysis of machine learning algorithms on automated sleep staging feature sets

CAAI Transactions on Intelligence Technology, 2021-06, Vol.6 (2), p.155-174

2021

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Machine learning-empowered sleep staging classification using multi-modality signals

BMC medical informatics and decision making, 2024-05, Vol.24 (1), p.119-119, Article 119

2024

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Multi-scale based Approach for Denoising Real-World noisy image using Curvelet Thresholding: Scope & Beyond

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

2024

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Alzheimer’s Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN

International journal of computational intelligence systems, 2024-05, Vol.17 (1), p.1-17, Article 113

2024

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COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques

Algorithms, 2023-10, Vol.16 (10), p.494

2023

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Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal

Soft computing (Berlin, Germany), 2021-12, Vol.25 (24), p.15445-15462

2021

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Automated classification of multi-class sleep stages classification using polysomnography signals: a nine- layer 1D-convolution neural network approach

Multimedia tools and applications, 2023-03, Vol.82 (6), p.8049-8091

2023

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Advances in Human Activity Detection and Recognition (HADR) Systems

1, 2024

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A clinical support system for the detection of cancer tumors using deep learning

AIP Conference Proceedings, 2023, Vol.2851 (1)

2023

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Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal

Biomedical signal processing and control, 2021-08, Vol.69, p.102898, Article 102898

2021

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Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method

International journal of information retrieval research, 2022-07, Vol.12 (2), p.1-19

2022

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An Effective Framework for Predicting Stroke Prediction using Machine Learning Technique

2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2023, p.01-08

2023

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Automated Drowsiness Detection for Driver Safety: A Deep Learning-based Approach

2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), 2023, p.774-779

2023

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Multimodal Multiclass Machine Learning Model for Automated Sleep Staging Based on Time Series Data

SN computer science, 2022-07, Vol.3 (4), p.276, Article 276

2022

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Machine Learning Approaches with Automated Sleep Staging System based on Two-Layer Heterogeneous Ensemble Learning Stacking Model

International Journal of Computing and Digital System (Jāmiʻat al-Baḥrayn. Markaz al-Nashr al-ʻIlmī), 2022-01, Vol.11 (1), p.725-742

2022

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A Study of Human Sleep Stage Classification Based on Dual Channels of EEG Signal Using Machine Learning Techniques

SN computer science, 2021-05, Vol.2 (3), p.157, Article 157

2021

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C2R: A mechanism for Coverage and Connectivity, Hole Recognition and Repairment in Wireless Sensor Network

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES), 2022, p.1-7

2022

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A Deep Learning Approach to Automated Sleep Stages Classification Using Multi-Modal Signals

Procedia computer science, 2023, Vol.218, p.867-876

2023

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Intelligent Techniques for Predictive Data Analytics

1, 2024

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A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques

Advanced Computing, Machine Learning, Robotics and Internet Technologies, 2024, Vol.1953, p.127-136

2024

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Automated Analysis and Classification of Sleep Stages Based on Machine Learning Techniques from a Dual-Channel EEG Signal

Modeling, Simulation and Optimization, 2021, Vol.206, p.391-403

2021

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Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method

Advances in Computing and Data Sciences, 2022, Vol.1614, p.235-247

2022

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Deep Learning Models for Yoga Pose Monitoring

Corrections to "A Deep Learning Framework for the Classification of Brazilian Coins"

A Deep Learning Framework for the Classification of Brazilian Coins

Performance analysis of machine learning algorithms on automated sleep staging feature sets

Machine learning-empowered sleep staging classification using multi-modality signals

Multi-scale based Approach for Denoising Real-World noisy image using Curvelet Thresholding: Scope & Beyond

Alzheimer’s Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN

COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques

Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal

Automated classification of multi-class sleep stages classification using polysomnography signals: a nine- layer 1D-convolution neural network approach

Advances in Human Activity Detection and Recognition (HADR) Systems

A clinical support system for the detection of cancer tumors using deep learning

Machine learning with ensemble stacking model for automated sleep staging using dual-channel EEG signal

Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method

An Effective Framework for Predicting Stroke Prediction using Machine Learning Technique

Automated Drowsiness Detection for Driver Safety: A Deep Learning-based Approach

Multimodal Multiclass Machine Learning Model for Automated Sleep Staging Based on Time Series Data

Machine Learning Approaches with Automated Sleep Staging System based on Two-Layer Heterogeneous Ensemble Learning Stacking Model

A Study of Human Sleep Stage Classification Based on Dual Channels of EEG Signal Using Machine Learning Techniques

C2R: A mechanism for Coverage and Connectivity, Hole Recognition and Repairment in Wireless Sensor Network

A Deep Learning Approach to Automated Sleep Stages Classification Using Multi-Modal Signals

Intelligent Techniques for Predictive Data Analytics

A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques

Automated Analysis and Classification of Sleep Stages Based on Machine Learning Techniques from a Dual-Channel EEG Signal

Automated Classification of Sleep Stages Using Single-Channel EEG Signal: A Machine Learning-Based Method

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