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Sensors (Basel, Switzerland)
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January 11, 2025
AllianceBlockchain in the Governance Innovation of Internet Hospitals
Xiaofeng Wang, Xiaoguang Yue, Ahthasham Sajid, et al.
Healthcare (Basel, Switzerland)
|
December 22, 2023
A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework
Maram Fahaad Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Sensors (Basel, Switzerland)
|
January 11, 2025
FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things
Tayyab Rehman, Noshina Tariq, Farrukh Aslam Khan, et al.
Digital Health
|
May 27, 2024
Melanoma identification and classification model based on fine-tuned convolutional neural network
Maram F Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Sensors (Basel, Switzerland)
|
June 24, 2022
Multi-Mobile Agent Trust Framework for Mitigating Internal Attacks and Augmenting RPL Security
Umer Farooq, Muhammad Asim, Noshina Tariq, et al.
Frontiers in Medicine
|
January 5, 2026
ESA-YOLOv5m: a lightweight spatial and improved attention-driven detection for brain tumor MRI analysis
Maram Fahaad Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Plos One
|
December 1, 2025
Post-quantum-inspired scalable blockchain architecture for internet hospital systems with lightweight privacy-preserving access control
Lulu Hao, Ruoyu Wang, Xiaofeng Wang, et al.
Sensors (Basel, Switzerland)
|
December 30, 2020
A Blockchain-Based Multi-Mobile Code-Driven Trust Mechanism for Detecting Internal Attacks in Internet of Things
Noshina Tariq, Muhammad Asim, Farrukh Aslam Khan, et al.
Sensors (Basel, Switzerland)
|
September 14, 2024
FL-DSFA: Securing RPL-Based IoT Networks against Selective Forwarding Attacks Using Federated Learning
Rabia Khan, Noshina Tariq, Muhammad Ashraf, et al.
BMC Cardiovascular Disorders
|
February 20, 2025
Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective
Ghadah Alwakid, Farman Ul Haq, Noshina Tariq, et al.
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Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Sensors (Basel, Switzerland)
|
January 11, 2025
AllianceBlockchain in the Governance Innovation of Internet Hospitals
Xiaofeng Wang, Xiaoguang Yue, Ahthasham Sajid, et al.
Healthcare (Basel, Switzerland)
|
December 22, 2023
A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework
Maram Fahaad Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Sensors (Basel, Switzerland)
|
January 11, 2025
FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things
Tayyab Rehman, Noshina Tariq, Farrukh Aslam Khan, et al.
Digital Health
|
May 27, 2024
Melanoma identification and classification model based on fine-tuned convolutional neural network
Maram F Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Sensors (Basel, Switzerland)
|
June 24, 2022
Multi-Mobile Agent Trust Framework for Mitigating Internal Attacks and Augmenting RPL Security
Umer Farooq, Muhammad Asim, Noshina Tariq, et al.
Frontiers in Medicine
|
January 5, 2026
ESA-YOLOv5m: a lightweight spatial and improved attention-driven detection for brain tumor MRI analysis
Maram Fahaad Almufareh, Noshina Tariq, Mamoona Humayun, et al.
Plos One
|
December 1, 2025
Post-quantum-inspired scalable blockchain architecture for internet hospital systems with lightweight privacy-preserving access control
Lulu Hao, Ruoyu Wang, Xiaofeng Wang, et al.
Sensors (Basel, Switzerland)
|
December 30, 2020
A Blockchain-Based Multi-Mobile Code-Driven Trust Mechanism for Detecting Internal Attacks in Internet of Things
Noshina Tariq, Muhammad Asim, Farrukh Aslam Khan, et al.
Sensors (Basel, Switzerland)
|
September 14, 2024
FL-DSFA: Securing RPL-Based IoT Networks against Selective Forwarding Attacks Using Federated Learning
Rabia Khan, Noshina Tariq, Muhammad Ashraf, et al.
BMC Cardiovascular Disorders
|
February 20, 2025
Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective
Ghadah Alwakid, Farman Ul Haq, Noshina Tariq, et al.
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