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 …

The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things

S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …

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 …

Automated detection and forecasting of covid-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems

A Heidari, D Javaheri, S Toumaj, NJ Navimipour… - Artificial Intelligence in …, 2023 - Elsevier
With an estimated five million fatal cases each year, lung cancer is one of the significant
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …

Deepfake detection using deep learning methods: A systematic and comprehensive review

A Heidari, N Jafari Navimipour, H Dag… - … Reviews: Data Mining …, 2024 - Wiley Online Library
Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated …

G Celik - Applied Soft Computing, 2023 - Elsevier
Covid-19 has become a worldwide epidemic which has caused the death of millions in a
very short time. This disease, which is transmitted rapidly, has mutated and different …

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 …

A comprehensive and systematic review of the IoT-based medical management systems: Applications, techniques, trends and open issues

G Zhang, NJ Navimipour - Sustainable Cities and Society, 2022 - Elsevier
Abstract The Internet of Things (IoT) is critical in a variety of modern city and society
management domains, including intelligent medical management. The intelligent IoT with …

Resilient and dependability management in distributed environments: A systematic and comprehensive literature review

Z Amiri, A Heidari, NJ Navimipour, M Unal - Cluster Computing, 2023 - Springer
With the galloping progress of the Internet of Things (IoT) and related technologies in
multiple facets of science, distribution environments, namely cloud, edge, fog, Internet of …