Arash Heidari
Orcid: 0000-0003-4279-8551
According to our database1,
Arash Heidari
authored at least 23 papers
between 2020 and 2024.
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Bibliography
2024
The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review.
Neural Comput. Appl., April, 2024
Deepfake detection using deep learning methods: A systematic and comprehensive review.
WIREs Data. Mining. Knowl. Discov., 2024
Implementation of a Product-Recommender System in an IoT-Based Smart Shopping Using Fuzzy Logic and Apriori Algorithm.
IEEE Trans. Engineering Management, 2024
Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems.
Multim. Tools Appl., 2024
2023
Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues.
ACM Comput. Surv., December, 2023
Internet of Things intrusion detection systems: a comprehensive review and future directions.
Clust. Comput., December, 2023
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things.
Comput. Methods Programs Biomed., November, 2023
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning.
Sustain. Comput. Informatics Syst., September, 2023
An Efficient Design of Multiplier for Using in Nano-Scale IoT Systems Using Atomic Silicon.
IEEE Internet Things J., August, 2023
A Secure Intrusion Detection Platform Using Blockchain and Radial Basis Function Neural Networks for Internet of Drones.
IEEE Internet Things J., May, 2023
A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios.
Sustain. Comput. Informatics Syst., April, 2023
Resilient and dependability management in distributed environments: a systematic and comprehensive literature review.
Clust. Comput., April, 2023
A QoS-Aware Technique for Computation Offloading in IoT-Edge Platforms Using a Convolutional Neural Network and Markov Decision Process.
IT Prof., 2023
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems.
Artif. Intell. Medicine, 2023
2022
Neural Comput. Appl., 2022
Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review.
Kybernetes, 2022
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain.
Comput. Biol. Medicine, 2022
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions.
Comput. Biol. Medicine, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
2021
A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm.
PeerJ Comput. Sci., 2021
2020
Int. J. Commun. Syst., 2020
Springer, ISBN: 978-3-030-18467-4, 2020