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Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification

Microscopy research and technique, 2021-07, Vol.84 (7), p.1389-1399

2021

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Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

Microscopy research and technique, 2021-01, Vol.84 (1), p.133-149

2021

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Secure and energy-efficient framework using Internet of Medical Things for e-healthcare

Journal of infection and public health, 2020-10, Vol.13 (10), p.1567-1575

2020

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Classification of acute lymphoblastic leukemia using deep learning

Microscopy research and technique, 2018-11, Vol.81 (11), p.1310-1317

2018

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Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges

Information (Basel), , Vol.13 (6), p.268

Khan, Amjad Rehman

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Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types

Microscopy research and technique, 2021-07, Vol.84 (7), p.1462-1474

2021

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Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

Applied soft computing, 2020-02, Vol.87, p.105986, Article 105986

2020

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Prognostic Models in Healthcare: AI and Statistical Approaches

2022

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A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

Journal of medical systems, 2020-02, Vol.44 (2), p.37-37, Article 37

2020

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Removal of pectoral muscle based on topographic map and shape-shifting silhouette

BMC cancer, 2018-08, Vol.18 (1), p.778-778, Article 778

2018

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Intelligent Computing Applications for COVID-19: Predictions, Diagnosis, and Prevention

1, 2022

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Detecting Pneumonia using Convolutions and Dynamic Capsule Routing for Chest X-ray Images

Sensors (Basel, Switzerland), 2020-02, Vol.20 (4), p.1068

2020

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Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

Diagnostics (Basel), 2020-08, Vol.10 (8), p.565

2020

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An effective content-based image retrieval technique for image visuals representation based on the bag-of-visual-words model

PloS one, 2018-04, Vol.13 (4), p.e0194526-e0194526

2018

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A resource conscious human action recognition framework using 26-layered deep convolutional neural network

Multimedia tools and applications, 2021-11, Vol.80 (28-29), p.35827-35849

2021

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Classification of cancer types based on microRNA expression using a hybrid radial basis function and particle swarm optimization algorithm

Microscopy research and technique, 2024-05, Vol.87 (5), p.1052-1062

2024

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Optimizing the transfer‐learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images

Microscopy research and technique, 2022-04, Vol.85 (4), p.1444-1453

2022

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Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model

Microscopy research and technique, 2022-05, Vol.85 (5), p.1926-1936

2022

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Secure Edge-Based Energy Management Protocol in Smart Grid Environments with Correlation Analysis

Sensors (Basel, Switzerland), 2022-11, Vol.22 (23), p.9236

2022

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Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture

Sensors (Basel, Switzerland), 2022-09, Vol.22 (17), p.6676

2022

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Device-to-Device (D2D) Multi-Criteria Learning Algorithm Using Secured Sensors

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2115

2022

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Copy-move image forged information detection and localisation in digital images using deep convolutional network

Journal of information science, 2023-10, Vol.49 (5), p.1325-1334

2023

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A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

EURASIP journal on image and video processing, 2017-12, Vol.2017 (1), p.1-18, Article 89

2017

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A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture

Agronomy (Basel), 2022-01, Vol.12 (1), p.127

2022

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An Optimization Model with Network Edges for Multimedia Sensors Using Artificial Intelligence of Things

Sensors (Basel, Switzerland), 2021-10, Vol.21 (21), p.7103

2021

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Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification

Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

Secure and energy-efficient framework using Internet of Medical Things for e-healthcare

Classification of acute lymphoblastic leukemia using deep learning

Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges

Machine learning techniques to detect and forecast the daily total COVID‐19 infected and deaths cases under different lockdown types

Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

Prognostic Models in Healthcare: AI and Statistical Approaches

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

Removal of pectoral muscle based on topographic map and shape-shifting silhouette

Intelligent Computing Applications for COVID-19: Predictions, Diagnosis, and Prevention

Detecting Pneumonia using Convolutions and Dynamic Capsule Routing for Chest X-ray Images

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

An effective content-based image retrieval technique for image visuals representation based on the bag-of-visual-words model

A resource conscious human action recognition framework using 26-layered deep convolutional neural network

Classification of cancer types based on microRNA expression using a hybrid radial basis function and particle swarm optimization algorithm

Optimizing the transfer‐learning with pretrained deep convolutional neural networks for first stage breast tumor diagnosis using breast ultrasound visual images

Breast microscopic cancer segmentation and classification using unique 4‐qubit‐quantum model

Secure Edge-Based Energy Management Protocol in Smart Grid Environments with Correlation Analysis

Traffic-Aware Secured Cooperative Framework for IoT-Based Smart Monitoring in Precision Agriculture

Device-to-Device (D2D) Multi-Criteria Learning Algorithm Using Secured Sensors

Copy-move image forged information detection and localisation in digital images using deep convolutional network

A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection

A Revisit of Internet of Things Technologies for Monitoring and Control Strategies in Smart Agriculture

An Optimization Model with Network Edges for Multimedia Sensors Using Artificial Intelligence of Things

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