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A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

Sensors (Basel, Switzerland), 2022-04, Vol.22 (7), p.2726

2022

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EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme

Expert systems with applications, 2024-06, Vol.243, p.122863, Article 122863

2024

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On fractal dimensions of soil radon gas time series

Journal of atmospheric and solar-terrestrial physics, 2022-01, Vol.227, p.105775, Article 105775

2022

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Prospects of Using Machine Learning and Diamond Nanosensing for High Sensitivity SARS-CoV-2 Diagnosis

Magnetochemistry, 2023-06, Vol.9 (7), p.171

2023

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Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography

Frontiers in physiology, 2022-01, Vol.12, p.737233-737233

2022

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Recent Development of Fluorescent Nanodiamonds for Optical Biosensing and Disease Diagnosis

Biosensors (Basel), 2022-12, Vol.12 (12), p.1181

2022

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Author Correction: Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans

Scientific reports, 2023-03, Vol.13 (1), p.5188-5188, Article 5188

2023

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Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection

Applied sciences, 2022-04, Vol.12 (8), p.3715

2022

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Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques

Applied artificial intelligence, 2022-12, Vol.36 (1)

2022

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Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms

Connection science, 2022-12, Vol.34 (1), p.2784-2806

2022

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Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model

IEEE access, 2022, Vol.10, p.37984-37999

2022

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Automated facial characterization and image retrieval by convolutional neural networks

Frontiers in artificial intelligence, 2023-12, Vol.6, p.1230383-1230383

2023

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Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences

Applied sciences, 2022-10, Vol.12 (19), p.9538

2022

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Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine

IEEE access, 2022, Vol.10, p.87302-87321

2022

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Reverse Image Search Using Deep Unsupervised Generative Learning and Deep Convolutional Neural Network

Applied sciences, 2022-05, Vol.12 (10), p.4943

2022

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A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images

Applied sciences, 2021-08, Vol.11 (16), p.7614

2021

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Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction

IEEE transactions on image processing, 2011-07, Vol.20 (7), p.1977-1990

2011

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IEEE_Xplore

A review of the medical hyperspectral imaging systems and unmixing algorithms’ in biological tissues

Photodiagnosis and photodynamic therapy, 2021-03, Vol.33, p.102165-102165, Article 102165

2021

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Quantitative auto-fluorescence quenching of free and bound NADH in HeLa cell line model with Carbonyl cyanide-p-Trifluoromethoxy phenylhydrazone (FCCP) as quenching agent

Photodiagnosis and photodynamic therapy, 2022-09, Vol.39, p.102954-102954, Article 102954

2022

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Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations

Photodiagnosis and photodynamic therapy, 2020-09, Vol.31, p.101880-101880, Article 101880

2020

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Multifractal detrended cross-correlation analysis of radioactivity borne radon, thoron and meteorological time series

Physica A, 2022-12, Vol.607, p.128214, Article 128214

2022

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A novel dual-channel brain tumor detection system for MR images using dynamic and static features with conventional machine learning techniques

Waves in random and complex media, 2022-05, Vol.ahead-of-print (ahead-of-print), p.1-20

2022

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The role of primary and secondary bio-molecules in optical diagnosis of pandemic COVID-19 outbreak

Photodiagnosis and photodynamic therapy, 2020-09, Vol.31, p.101953-101953, Article 101953

2020

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Analysis of hepatitis C infection using Raman spectroscopy and proximity based classification in the transformed domain

Biomedical optics express, 2018-05, Vol.9 (5), p.2041-2055

2018

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Biomedical Applications of Integrating Sphere: A Review

Photodiagnosis and photodynamic therapy, 2020-09, Vol.31, p.101712-101712, Article 101712

2020

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A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme

On fractal dimensions of soil radon gas time series

Prospects of Using Machine Learning and Diamond Nanosensing for High Sensitivity SARS-CoV-2 Diagnosis

Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography

Recent Development of Fluorescent Nanodiamonds for Optical Biosensing and Disease Diagnosis

Author Correction: Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans

Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection

Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques

Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms

Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model

Automated facial characterization and image retrieval by convolutional neural networks

Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences

Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine

Reverse Image Search Using Deep Unsupervised Generative Learning and Deep Convolutional Neural Network

A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images

Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction

A review of the medical hyperspectral imaging systems and unmixing algorithms’ in biological tissues

Quantitative auto-fluorescence quenching of free and bound NADH in HeLa cell line model with Carbonyl cyanide-p-Trifluoromethoxy phenylhydrazone (FCCP) as quenching agent

Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations

Multifractal detrended cross-correlation analysis of radioactivity borne radon, thoron and meteorological time series

A novel dual-channel brain tumor detection system for MR images using dynamic and static features with conventional machine learning techniques

The role of primary and secondary bio-molecules in optical diagnosis of pandemic COVID-19 outbreak

Analysis of hepatitis C infection using Raman spectroscopy and proximity based classification in the transformed domain

Biomedical Applications of Integrating Sphere: A Review

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