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 …

Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues

A Heidari, N Jafari Navimipour, M Unal… - ACM Computing …, 2023 - dl.acm.org
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

[HTML][HTML] 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 …

[HTML][HTML] Green IoT: A review and future research directions

MH Alsharif, A Jahid, AH Kelechi, R Kannadasan - Symmetry, 2023 - mdpi.com
The internet of things (IoT) has a significant economic and environmental impact owing to
the billions or trillions of interconnected devices that use various types of sensors to …

Incentive techniques for the internet of things: a survey

PKR Maddikunta, QV Pham, DC Nguyen… - Journal of Network and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …

Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

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 …