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 …

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) …

A secure intrusion detection platform using blockchain and radial basis function neural networks for internet of drones

A Heidari, NJ Navimipour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing “Things” with
“Drones” while retaining incomparable features. Because of its vital applications, IoD …

Towards green smart cities using Internet of Things and optimization algorithms: A systematic and bibliometric review

P He, N Almasifar, A Mehbodniya, D Javaheri… - … Informatics and Systems, 2022 - Elsevier
Energy efficiency is an important concern that the scientific community and society will have
to deal with in the coming years. Power-efficient structures and effective energy resource …

Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++

J Li, K Liu, Y Hu, H Zhang, AA Heidari, H Chen… - Computers in Biology …, 2023 - Elsevier
Computerized tomography (CT) is of great significance for the localization and diagnosis of
liver cancer. Many scholars have recently applied deep learning methods to segment CT …

Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis

J Xia, Z Wang, D Yang, R Li, G Liang, H Chen… - Computers in Biology …, 2022 - Elsevier
Preoperative differentiation of complicated and uncomplicated appendicitis is challenging.
The research goal was to construct a new intelligent diagnostic rule that is accurate, fast …

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 …

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 …

A roadmap towards energy‐efficient data fusion methods in the Internet of Things

B Pourghebleh, N Hekmati… - Concurrency and …, 2022 - Wiley Online Library
Nowadays, with the rapid progress of Internet‐based and distributed systems such as cloud
computing, peer‐to‐peer networking, and Internet of Things (IoT), significant improvements …