[HTML][HTML] Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques

M Saleem, S Abbas, TM Ghazal, MA Khan… - Egyptian Informatics …, 2022 - Elsevier
Smart cities have been developed over the past decade, and reducing traffic congestion has
been the top concern in smart city development. Short delays in communication between …

[HTML][HTML] A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

A Rehman, S Abbas, MA Khan, TM Ghazal… - Computers in Biology …, 2022 - Elsevier
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …

Fusion-based supply chain collaboration using machine learning techniques

TM Ghazal, HM Alzoubi - … & Soft Computing, 2022 - research.skylineuniversity.ac.ae
Supply Chain Collaboration is the network of various entities that work cohesively to make
up the entire process. The supply chain organizations' success is dependent on integration …

IoMT cloud-based intelligent prediction of breast cancer stages empowered with deep learning

SY Siddiqui, A Haider, TM Ghazal, MA Khan… - IEEE …, 2021 - ieeexplore.ieee.org
Breast cancer is often a fatal disease that has a substantial impact on the female mortality
rate. Rapidly spreading breast cancer is due to the abnormal growth of malignant cells in the …

[PDF][PDF] Energy-efficiency model for residential buildings using supervised machine learning algorithm

MS Aslam, TM Ghazal, A Fatima, RA Said… - Intell. Autom. Soft …, 2021 - academia.edu
The real-time management and control of heating-system networks in residential buildings
has tremendous energy-saving potential, and accurate load prediction is the basis for …

Performance analysis of state-of-the-art cnn architectures for luna16

I Naseer, S Akram, T Masood, A Jaffar, MA Khan… - Sensors, 2022 - mdpi.com
The convolutional neural network (CNN) has become a powerful tool in machine learning
(ML) that is used to solve complex problems such as image recognition, natural language …

[PDF][PDF] Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning.

MA Khan, S Abbas, A Raza, F Khan… - Computers, Materials & …, 2022 - researchgate.net
Progress in understanding multisensory integration in human have suggested researchers
that the integration may result into the enhancement or depression of incoming signals. It is …

[HTML][HTML] Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques

A Baccouche, B Garcia-Zapirain, Y Zheng… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective Computer-aided-detection (CAD) systems have been
developed to assist radiologists on finding suspicious lesions in mammogram. Deep …

An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks

A Baccouche, B Garcia-Zapirain, AS Elmaghraby - Scientific reports, 2022 - nature.com
A computer-aided diagnosis (CAD) system requires automated stages of tumor detection,
segmentation, and classification that are integrated sequentially into one framework to assist …

[PDF][PDF] Breast Lesions Detection and Classification via YOLO-Based Fusion Models.

A Baccouche, B Garcia-Zapirain… - Computers …, 2021 - pdfs.semanticscholar.org
With recent breakthroughs in artificial intelligence, the use of deep learning models
achieved remarkable advances in computer vision, ecommerce, cybersecurity, and …