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Tallha Akram

Showing results (11-20 of 27) with videos related to

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Diagnostics (Basel, Switzerland)|September 9, 2023
Precision in Dermatology: Developing an Optimal Feature Selection Framework for Skin Lesion ClassificationTallha Akram, Riaz Junejo, Anas Alsuhaibani, et al.
Scientific Reports|March 12, 2024
BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classificationMuhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally, et al.
IEEE Journal of Biomedical and Health Informatics|March 22, 2021
Multi-Class Skin Lesion Detection and Classification via TeledermatologyMuhammad Attique Khan, Khan Muhammad, Muhammad Sharif, et al.
Scientific Reports|February 27, 2026
A cost-optimized medical digital twin framework for secure and efficient patient data management in smart healthcareFaisal Mohammed Alotaibi, Sadiq Ahmad, Tallha Akram, et al.
SLAS Technology|June 1, 2025
SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disordersSamra Siddiqui, Junaid A Khan, Tallha Akram, et al.
Scientific Reports|March 4, 2026
Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networksMuhammad Imran, Khalid Ibrahim, Pan Zhiwen, et al.
Scientific Reports|July 1, 2026
A framework based on hybrid Suzuki-Abe and convex Hull approach for improved classification of skin lesionsMaryam Sana, Muhammad Nouman Noor, Farah Haneef, et al.
Microscopy Research and Technique|February 26, 2019
Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selectionMuhammad A Khan, Ikram U Lali, Amjad Rehman, et al.
Microscopy Research and Technique|April 12, 2019
Lungs nodule detection framework from computed tomography images using support vector machineSajid A Khan, Muhammad Nazir, Muhammad A Khan, et al.
Sensors (Basel, Switzerland)|March 10, 2022
A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration SignalsMuhammad Altaf, Tallha Akram, Muhammad Attique Khan, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Diagnostics (Basel, Switzerland)|September 9, 2023
Precision in Dermatology: Developing an Optimal Feature Selection Framework for Skin Lesion ClassificationTallha Akram, Riaz Junejo, Anas Alsuhaibani, et al.
Scientific Reports|March 12, 2024
BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classificationMuhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally, et al.
IEEE Journal of Biomedical and Health Informatics|March 22, 2021
Multi-Class Skin Lesion Detection and Classification via TeledermatologyMuhammad Attique Khan, Khan Muhammad, Muhammad Sharif, et al.
Scientific Reports|February 27, 2026
A cost-optimized medical digital twin framework for secure and efficient patient data management in smart healthcareFaisal Mohammed Alotaibi, Sadiq Ahmad, Tallha Akram, et al.
SLAS Technology|June 1, 2025
SNet: A novel convolutional neural network architecture for advanced endoscopic image classification of gastrointestinal disordersSamra Siddiqui, Junaid A Khan, Tallha Akram, et al.
Scientific Reports|March 4, 2026
Particle swarm optimized deep learning for jamming detection and throughput enhancement in cognitive radio networksMuhammad Imran, Khalid Ibrahim, Pan Zhiwen, et al.
Scientific Reports|July 1, 2026
A framework based on hybrid Suzuki-Abe and convex Hull approach for improved classification of skin lesionsMaryam Sana, Muhammad Nouman Noor, Farah Haneef, et al.
Microscopy Research and Technique|February 26, 2019
Brain tumor detection and classification: A framework of marker-based watershed algorithm and multilevel priority features selectionMuhammad A Khan, Ikram U Lali, Amjad Rehman, et al.
Microscopy Research and Technique|April 12, 2019
Lungs nodule detection framework from computed tomography images using support vector machineSajid A Khan, Muhammad Nazir, Muhammad A Khan, et al.
Sensors (Basel, Switzerland)|March 10, 2022
A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration SignalsMuhammad Altaf, Tallha Akram, Muhammad Attique Khan, et al.
Pageof 3