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ECG signal processing for abnormalities detection using multi-resolution wavelet transform and Artificial Neural Network classifier

Measurement : journal of the International Measurement Confederation, 2013-11, Vol.46 (9), p.3238-3246

2013

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Detection of brain abnormality by a novel Lu-Net deep neural CNN model from MR images

Machine learning with applications, 2020-12, Vol.2, p.100004, Article 100004

2020

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Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers

Mathematics (Basel), 2023-12, Vol.11 (24), p.4937

2023

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HRIDM: Hybrid Residual/Inception-Based Deeper Model for Arrhythmia Detection from Large Sets of 12-Lead ECG Recordings

Algorithms, 2024-08, Vol.17 (8), p.364

2024

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Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging

Mathematics (Basel), 2024-09, Vol.12 (18), p.2808

2024

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GAN-SkipNet: A Solution for Data Imbalance in Cardiac Arrhythmia Detection Using Electrocardiogram Signals from a Benchmark Dataset

Mathematics (Basel), 2024-09, Vol.12 (17), p.2693

2024

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Enhancing data security and privacy in energy applications: Integrating IoT and blockchain technologies

Heliyon, 2024-10, Vol.10 (19), p.e38917, Article e38917

2024

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Interplay between phonon confinement and Fano effect on Raman line shape for semiconductor nanostructures: Analytical study

Solid state communications, 2016-03, Vol.230, p.25-29

2016

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Use of Internet of Things in the context of execution of smart city applications: a review

Discover Internet of things, 2023-12, Vol.3 (1), p.8-22, Article 8

2023

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Raman spectroscopy for study of interplay between phonon confinement and Fano effect in silicon nanowires

Journal of Raman spectroscopy, 2016-03, Vol.47 (3), p.283-288

2016

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Radar-Based Target Tracking Using Deep Learning Approaches with Unscented Kalman Filter

Applied sciences, 2024-09, Vol.14 (18), p.8332

2024

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Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data

Applied intelligence (Dordrecht, Netherlands), 2022-03, Vol.52 (5), p.5366-5384

2022

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Cancer detection and segmentation using machine learning and deep learning techniques: a review

Multimedia tools and applications, 2024-03, Vol.83 (9), p.27001-27035

Rai, Hari Mohan

2024

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A flight control method for unmanned aerial vehicles based on vibration suppression

IET collaborative intelligent manufacturing, 2021-09, Vol.3 (3), p.252-261

2021

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A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics

Journal of cancer research and clinical oncology, 2023-11, Vol.149 (15), p.14365-14408

2023

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Hybrid adaptive algorithm based on wavelet transform and independent component analysis for denoising of MRI images

Measurement : journal of the International Measurement Confederation, 2019-10, Vol.144, p.72-82

2019

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Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques

Expert systems with applications, 2024-12, Vol.255, p.124838, Article 124838

2024

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A unique feature extraction using MRDWT for automatic classification of abnormal heartbeat from ECG big data with Multilayered Probabilistic Neural Network classifier

Applied soft computing, 2018-11, Vol.72, p.596-608

2018

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The prediction of cardiac abnormality and enhancement in minority class accuracy from imbalanced ECG signals using modified deep neural network models

Computers in biology and medicine, 2022-11, Vol.150, p.106142-106142, Article 106142

2022

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Two-headed UNetEfficientNets for parallel execution of segmentation and classification of brain tumors: incorporating postprocessing techniques with connected component labelling

Journal of cancer research and clinical oncology, 2024-04, Vol.150 (4), p.220-220, Article 220

2024

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A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction

Medical & biological engineering & computing, 2024-07

2024

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2D MRI image analysis and brain tumor detection using deep learning CNN model LeU-Net

Multimedia tools and applications, 2021-11, Vol.80 (28-29), p.36111-36141

2021

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Automatic and accurate abnormality detection from brain MR images using a novel hybrid UnetResNext-50 deep CNN model

Biomedical signal processing and control, 2021-04, Vol.66, p.102477, Article 102477

2021

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MetaHospital: implementing robust data security measures for an AI-driven medical diagnosis system

Procedia computer science, 2024, Vol.241, p.476-481

2024

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A Novel Adaptive Feature Extraction for Detection of Cardiac Arrhythmias Using Hybrid Technique MRDWT & MPNN Classifier from ECG Big Data

Big data research, 2018-07, Vol.12, p.13-22

2018

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ECG signal processing for abnormalities detection using multi-resolution wavelet transform and Artificial Neural Network classifier

Detection of brain abnormality by a novel Lu-Net deep neural CNN model from MR images

Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers

HRIDM: Hybrid Residual/Inception-Based Deeper Model for Arrhythmia Detection from Large Sets of 12-Lead ECG Recordings

Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging

GAN-SkipNet: A Solution for Data Imbalance in Cardiac Arrhythmia Detection Using Electrocardiogram Signals from a Benchmark Dataset

Enhancing data security and privacy in energy applications: Integrating IoT and blockchain technologies

Interplay between phonon confinement and Fano effect on Raman line shape for semiconductor nanostructures: Analytical study

Use of Internet of Things in the context of execution of smart city applications: a review

Raman spectroscopy for study of interplay between phonon confinement and Fano effect in silicon nanowires

Radar-Based Target Tracking Using Deep Learning Approaches with Unscented Kalman Filter

Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data

Cancer detection and segmentation using machine learning and deep learning techniques: a review

A flight control method for unmanned aerial vehicles based on vibration suppression

A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics

Hybrid adaptive algorithm based on wavelet transform and independent component analysis for denoising of MRI images

Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques

A unique feature extraction using MRDWT for automatic classification of abnormal heartbeat from ECG big data with Multilayered Probabilistic Neural Network classifier

The prediction of cardiac abnormality and enhancement in minority class accuracy from imbalanced ECG signals using modified deep neural network models

Two-headed UNetEfficientNets for parallel execution of segmentation and classification of brain tumors: incorporating postprocessing techniques with connected component labelling

A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction

2D MRI image analysis and brain tumor detection using deep learning CNN model LeU-Net

Automatic and accurate abnormality detection from brain MR images using a novel hybrid UnetResNext-50 deep CNN model

MetaHospital: implementing robust data security measures for an AI-driven medical diagnosis system

A Novel Adaptive Feature Extraction for Detection of Cardiac Arrhythmias Using Hybrid Technique MRDWT & MPNN Classifier from ECG Big Data

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