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Computational Intelligence and Neuroscience
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March 3, 2023
Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection
Sujatha Krishnamoorthy, Yaxi Zhang, Seifedine Kadry, et al.
Diagnostics (Basel, Switzerland)
|
August 13, 2020
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, et al.
Computational Intelligence and Neuroscience
|
August 15, 2022
BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
Usman Zahid, Imran Ashraf, Muhammad Attique Khan, et al.
Research (Washington, D.C.)
|
April 27, 2026
Explainable Deep Reinforcement Learning for Anomaly Detection in IoT-Enabled Metaverse Healthcare: Toward Trustworthy Cyber Threat Intelligence
Jing Yang, Xu Xu, Muhammad Attique Khan, et al.
Journal of Advanced Research
|
August 28, 2025
Skin cancer segmentation and recognition from dermoscopy images: a novel framework based on improved DeepLabV3+ and network-level fused deep architectures
Mehak Arshad, Muhammad Attique Khan, Juan Manuel Górriz, et al.
Diagnostics (Basel, Switzerland)
|
December 24, 2021
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, Venkatesan Rajinikanth, Suresh Chandra Satapathy, et al.
Frontiers in Computational Neuroscience
|
November 5, 2024
Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence
Asma Aldrees, Stephen Ojo, James Wanliss, et al.
Frontiers in Computational Neuroscience
|
November 8, 2024
BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model
Liao Xuanzhi, Abeer Hakeem, Linda Mohaisen, et al.
Diagnostics (Basel, Switzerland)
|
September 9, 2023
Empowering Foot Health: Harnessing the Adaptive Weighted Sub-Gradient Convolutional Neural Network for Diabetic Foot Ulcer Classification
Abdullah Alqahtani, Shtwai Alsubai, Mohamudha Parveen Rahamathulla, et al.
Frontiers in Plant Science
|
October 15, 2024
Fruit and vegetable leaf disease recognition based on a novel custom convolutional neural network and shallow classifier
Syeda Aimal Fatima Naqvi, Muhammad Attique Khan, Ameer Hamza, et al.
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Search research articles
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Showing results (81-90 of 145) with videos related to
Sort By:
Page
of 15
Computational Intelligence and Neuroscience
|
March 3, 2023
Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection
Sujatha Krishnamoorthy, Yaxi Zhang, Seifedine Kadry, et al.
Diagnostics (Basel, Switzerland)
|
August 13, 2020
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, et al.
Computational Intelligence and Neuroscience
|
August 15, 2022
BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
Usman Zahid, Imran Ashraf, Muhammad Attique Khan, et al.
Research (Washington, D.C.)
|
April 27, 2026
Explainable Deep Reinforcement Learning for Anomaly Detection in IoT-Enabled Metaverse Healthcare: Toward Trustworthy Cyber Threat Intelligence
Jing Yang, Xu Xu, Muhammad Attique Khan, et al.
Journal of Advanced Research
|
August 28, 2025
Skin cancer segmentation and recognition from dermoscopy images: a novel framework based on improved DeepLabV3+ and network-level fused deep architectures
Mehak Arshad, Muhammad Attique Khan, Juan Manuel Górriz, et al.
Diagnostics (Basel, Switzerland)
|
December 24, 2021
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, Venkatesan Rajinikanth, Suresh Chandra Satapathy, et al.
Frontiers in Computational Neuroscience
|
November 5, 2024
Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence
Asma Aldrees, Stephen Ojo, James Wanliss, et al.
Frontiers in Computational Neuroscience
|
November 8, 2024
BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model
Liao Xuanzhi, Abeer Hakeem, Linda Mohaisen, et al.
Diagnostics (Basel, Switzerland)
|
September 9, 2023
Empowering Foot Health: Harnessing the Adaptive Weighted Sub-Gradient Convolutional Neural Network for Diabetic Foot Ulcer Classification
Abdullah Alqahtani, Shtwai Alsubai, Mohamudha Parveen Rahamathulla, et al.
Frontiers in Plant Science
|
October 15, 2024
Fruit and vegetable leaf disease recognition based on a novel custom convolutional neural network and shallow classifier
Syeda Aimal Fatima Naqvi, Muhammad Attique Khan, Ameer Hamza, et al.
Page
of 15