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Analysis and Detection of Autism Spectrum Disorder Using Machine Learning Techniques

Procedia computer science, 2020, Vol.167, p.994-1004

2020

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Machine learning approaches for neurological disease prediction: A systematic review

Expert systems, 2024-09, Vol.41 (9), p.n/a

2024

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Detecting distraction of drivers using Convolutional Neural Network

Pattern recognition letters, 2020-11, Vol.139, p.79-85

2020

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Attention based CNN model for fire detection and localization in real-world images

Expert systems with applications, 2022-03, Vol.189, p.116114, Article 116114

2022

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Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality

Environmental science and pollution research international, 2022-04, Vol.29 (18), p.26860-26876

2022

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Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling

IEEE transactions on intelligent transportation systems, 2022-10, Vol.23 (10), p.19743-19752

2022

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A novel finite rings based algebraic scheme of evolving secure S-boxes for images encryption

Multimedia tools and applications, 2021-05, Vol.80 (13), p.20191-20215

2021

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LW-DeepFakeNet: a lightweight time distributed CNN-LSTM network for real-time DeepFake video detection

Signal, image and video processing, 2023-11, Vol.17 (8), p.4029-4037

2023

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Voice-Based Detection of Parkinson’s Disease through Ensemble Machine Learning Approach: A Performance Study

EAI endorsed transactions on pervasive health and technology, 2019-08, Vol.5 (19), p.e2

2019

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Architectural Parameter-Independent Network Initialization Scheme for Sigmoidal Feedforward ANNs

Arabian journal for science and engineering (2011), 2020-04, Vol.45 (4), p.2901-2913

2020

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A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method

IEEE access, 2024, Vol.12, p.70464-70479

2024

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Analysing the impact of COVID-19 pandemic on the psychological health of people using fuzzy MCDM methods

Operations Research Perspectives, 2023-01, Vol.10, p.100263, Article 100263

2023

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Artificial Intelligence against COVID-19 Pandemic: A Comprehensive Insight

Current medical imaging reviews, 2023-01, Vol.19 (1), p.1-18

2023

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A simulation-based study on the effect of underwater friction stir welding process parameters using different evolutionary optimization algorithms

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2020-01, Vol.234 (2), p.643-657

2020

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Exploring Deep Ensemble Model for Insect and Pest Detection from Images

Procedia computer science, 2023, Vol.218, p.2328-2337

2023

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Predicting congenital heart disease using machine learning techniques

Journal of discrete mathematical sciences & cryptography, 2020-01, Vol.23 (1), p.293-303

2020

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Computationally efficient LC-SCS deep learning model for breast cancer classification using thermal imaging

Neural computing & applications, 2024-09, Vol.36 (26), p.16233-16250

2024

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MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms

Computer methods and programs in biomedicine, 2024-05, Vol.248, p.108121-108121, Article 108121

2024

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FD-YOLOv5: A Fuzzy Image Enhancement Based Robust Object Detection Model for Safety Helmet Detection

International journal of fuzzy systems, 2022-07, Vol.24 (5), p.2600-2616

2022

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Handling Class Imbalance Problem using Oversampling Techniques for Breast Cancer Prediction

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON), 2023, p.693-698

2023

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Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets

Neural computing & applications, 2023-12, Vol.35 (34), p.24109-24121

2023

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Bridging the gap between Machine Learning and Medicine: Understanding recent advances in machine learning-based disease diagnosis systems

Journal of ICT Research and Applications, 2023-05, Vol.15 (3)

2023

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Indian Cultural event detection using GBVS boosted deep convolutional neural networks

Procedia computer science, 2024, Vol.235, p.394-402

2024

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SCS-Net: An efficient and practical approach towards Face Mask Detection

Procedia computer science, 2023-01, Vol.218, p.1878-1887

2023

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An ensemble‐based feature selection framework for early detection of Parkinson's disease based on feature correlation analysis

Mathematical methods in the applied sciences, 2021-11

2021

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Analysis and Detection of Autism Spectrum Disorder Using Machine Learning Techniques

Machine learning approaches for neurological disease prediction: A systematic review

Detecting distraction of drivers using Convolutional Neural Network

Attention based CNN model for fire detection and localization in real-world images

Integrating water quality index, GIS and multivariate statistical techniques towards a better understanding of drinking water quality

Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling

A novel finite rings based algebraic scheme of evolving secure S-boxes for images encryption

LW-DeepFakeNet: a lightweight time distributed CNN-LSTM network for real-time DeepFake video detection

Voice-Based Detection of Parkinson’s Disease through Ensemble Machine Learning Approach: A Performance Study

Architectural Parameter-Independent Network Initialization Scheme for Sigmoidal Feedforward ANNs

A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method

Analysing the impact of COVID-19 pandemic on the psychological health of people using fuzzy MCDM methods

Artificial Intelligence against COVID-19 Pandemic: A Comprehensive Insight

A simulation-based study on the effect of underwater friction stir welding process parameters using different evolutionary optimization algorithms

Exploring Deep Ensemble Model for Insect and Pest Detection from Images

Predicting congenital heart disease using machine learning techniques

Computationally efficient LC-SCS deep learning model for breast cancer classification using thermal imaging

MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms

FD-YOLOv5: A Fuzzy Image Enhancement Based Robust Object Detection Model for Safety Helmet Detection

Handling Class Imbalance Problem using Oversampling Techniques for Breast Cancer Prediction

Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets

Bridging the gap between Machine Learning and Medicine: Understanding recent advances in machine learning-based disease diagnosis systems

Indian Cultural event detection using GBVS boosted deep convolutional neural networks

SCS-Net: An efficient and practical approach towards Face Mask Detection

An ensemble‐based feature selection framework for early detection of Parkinson's disease based on feature correlation analysis

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