[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 …

COVID-19 detection from CBC using machine learning techniques

A Akhtar, S Akhtar, B Bakhtawar… - International Journal …, 2021 - journals.gaftim.com
Covid-19 pandemic has seriously affected the mankind with colossal loss of life around the
world. There is a critical requirement for timely and reliable detection of Corona virus …

Treatment response prediction in hepatitis C patients using machine learning techniques

AA Kashif, B Bakhtawar, A Akhtar… - International Journal …, 2021 - journals.gaftim.com
The proper prognosis of treatment response is crucial in any medical therapy to reduce the
effects of the disease and of the medication as well. The mortality rate due to hepatitis c virus …

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 …

An iomt‐enabled smart healthcare model to monitor elderly people using machine learning technique

MF Khan, TM Ghazal, RA Said, A Fatima… - Computational …, 2021 - Wiley Online Library
The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …

An IoMT based Ensemble Classification Framework to Predict Treatment Response in Hepatitis C Patients

TM Ghazal, S Abbas, M Ahmad… - … Conference on Business …, 2022 - ieeexplore.ieee.org
Hepatitis C is considered a deadly disease as mortality rate in the patients suffering from this
disease is very high, if not properly treated. This research proposes an IOMT based …

Role of Feature Selection in Cross Project Software Defect Prediction-A Review

MS Saeed - International Journal of Computations, Information …, 2023 - journals.gaftim.com
Abstract Software Defect Prediction (SDP) is crucial for enhancing software quality and
minimizing issues after release. The advent of machine learning, particularly in Cross …

[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 …

Software Defect Prediction Using Clustering: A Comprehensive Literature Review

A Batool - International Journal of Computations, Information …, 2023 - journals.gaftim.com
Anticipating software defects prior to the testing phase proves advantageous for efficient
resource allocation to develop the high-quality software, a necessity for any organization …

[PDF][PDF] Intelligent Model for Predicting the Quality of Services Violation.

MA Khan, A Kanwal, S Abbas, F Khan… - … , Materials & Continua, 2022 - researchgate.net
Cloud computing is providing IT services to its customer based on Service level agreements
(SLAs). It is important for cloud service providers to provide reliable Quality of service (QoS) …