Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review

A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

Internet of Things intrusion detection systems: a comprehensive review and future directions

A Heidari, MA Jabraeil Jamali - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) is a paradigm that connects objects to the Internet as a
whole and enables them to work together to achieve common objectives, such as innovative …

The role of IT-based technologies on the management of human resources in the COVID-19 era

S Vahdat - Kybernetes, 2022 - emerald.com
Purpose The current pandemic will introduce many novel policies, adaptations, innovations
and procedures by innovative human resource (HR) creativity. In particular, information …

Machine learning applications for COVID-19 outbreak management

A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain

A Heidari, S Toumaj, NJ Navimipour, M Unal - Computers in Biology and …, 2022 - Elsevier
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …

Data replica placement approaches in fog computing: a review

E Torabi, M Ghobaei-Arani, A Shahidinejad - Cluster Computing, 2022 - Springer
Recently, we are witnessing an enormous burst of data due to the ever-increasing number of
Internet of Things (IoT) devices. The traditional cloud computing paradigm has failed to …

The contemporary state of big data analytics and artificial intelligence towards intelligent supply chain risk management: a comprehensive review

HM Shah, BB Gardas, VS Narwane, HS Mehta - Kybernetes, 2023 - emerald.com
Purpose This paper aims to conduct a systematic literature review of the research in the field
of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management …

An in-depth and systematic literature review on the blockchain-based approaches for cloud computing

J Gong, NJ Navimipour - Cluster Computing, 2022 - Springer
Cloud computing enables businesses to decrease the total costs by outsourcing their
required services. Therefore, it provides a new challenge of data protection regarding …

Optimization of load balancing and task scheduling in cloud computing environments using artificial neural networks-based binary particle swarm optimization (BPSO)

MI Alghamdi - Sustainability, 2022 - mdpi.com
As more people utilize the cloud, more employment opportunities become available. With
constraints such as a limited make-span, a high utilization rate of available resources …

The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions

A Heidari, NJ Navimipour, M Unal, S Toumaj - Computers in biology and …, 2022 - Elsevier
Abstract Since December 2019, the COVID-19 outbreak has resulted in countless deaths
and has harmed all facets of human existence. COVID-19 has been designated an epidemic …