Browsing WoS İndeksli Yayınlar Koleksiyonu by Author "Heidari, Arash"
Now showing items 1-17 of 17
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Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Amiri, Zahra; Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet; Mousavi, Ali (Springer, 2023)Machine Learning (ML) and Deep Learning (DL) have achieved high success in many textual, auditory, medical imaging, and visual recognition patterns. Concerning the importance of ML/DL in recognizing patterns due to its ... -
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
Aminizadeh, Sarina; Heidari, Arash; Toumaj, Shiva; Darbandi, Mehdi; Navimipour, Nima Jafari; Rezaei, Mahsa; Talebi, Samira (Elsevier Ireland Ltd, 2023)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 (IoT) and sensor technologies, ... -
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet (Elsevier, 2022)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, smart cities use some new technologies ... -
Deep Q-Learning Technique for Offloading Offline/Online Computation in Blockchain-Enabled Green IoT-Edge Scenarios
Heidari, Arash; Jamali, Mohammad Ali Jabraeil; Navimipour, Nima Jafari; Akbarpour, Shahin (Mdpi, 2022)The number of Internet of Things (IoT)-related innovations has recently increased exponentially, with numerous IoT objects being invented one after the other. Where and how many resources can be transferred to carry out ... -
An Efficient Design of Multiplier for Using in Nano-Scale IoT Systems Using Atomic Silicon
Ahmadpour, Seyed-Sajad; Heidari, Arash; Navimpour, Nima Jafari; Asadi, Mohammad-Ali; Yalcin, Senay (IEEE-Inst Electrical Electronics Engineers Inc, 2023)Because of recent technological developments, such as Internet of Things (IoT) devices, power consumption has become a major issue. Atomic silicon quantum dot (ASiQD) is one of the most impressive technologies for developing ... -
A Fuzzy-Based Method for Objects Selection in Blockchain-Enabled Edge-IoT Platforms Using a Hybrid Multi-Criteria Decision-Making Model
Gardas, Bhaskar B.; Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet (Mdpi, 2022)The broad availability of connected and intelligent devices has increased the demand for Internet of Things (IoT) applications that require more intense data storage and processing. However, cloud-based IoT systems are ... -
A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios
Heidari, Arash; Navimipour, Nima Jafari; Jamali, Mohammad Ali Jabraeil; Akbarpour, Shahin (Elsevier, 2023)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 becoming extremely rigorous. On the other ... -
The History of Computing in Iran (Persia)-Since the Achaemenid Empire
Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet (Mdpi, 2022)Persia was the early name for the territory that is currently recognized as Iran. Iran's proud history starts with the Achaemenid Empire, which began in the 6th century BCE (c. 550). The Iranians provided numerous innovative ... -
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Heidari, Arash; Navimipour, Nima Jafari; Jamali, Mohammad Ali Jabraeil; Akbarpour, Shahin (Elsevier, 2023)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 capacities can use the edge to ... -
Implementation of a Product-Recommender System in an IoT-Based Smart Shopping Using Fuzzy Logic and Apriori Algorithm
Yan, Shu-Rong; Pirooznia, Sina; Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet (IEEE-Inst Electrical Electronics Engineers Inc, 2022)The Internet of Things (IoT) has recently become important in accelerating various functions, from manufacturing and business to healthcare and retail. A recommender system can handle the problem of information and data ... -
Machine learning applications for COVID-19 outbreak management
Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet; Toumaj, Shiva (Springer London Ltd, 2022)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 employed in the medical field in many applications, ... -
Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet; Zhang, Guodao (Assoc Computing Machinery, 2023)Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability ... -
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
Heidari, Arash; Javaheri, Danial; Toumaj, Shiva; Navimipour, Nima Jafari; Rezaei, Mahsa; Unal, Mehmet (Elsevier, 2023)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 (CT) scan. The scarcity and trustworthiness ... -
The Personal Health Applications of Machine Learning Techniques in the Internet of Behaviors
Amiri, Zahra; Heidari, Arash; Darbandi, Mehdi; Yazdani, Yalda; Jafari Navimipour, Nima; Esmaeilpour, Mansour; Sheykhi, Farshid (Mdpi, 2023)With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the medical and healthcare fields are utilizing machine learning (ML) methodologies in numerous inventive ways. ML techniques have ... -
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
Heidari, Arash; Toumaj, Shiva; Navimipour, Nima Jafari; Unal, Mehmet (Pergamon-Elsevier Science Ltd, 2022)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 that are both reliable and affordable. Due ... -
Resilient and dependability management in distributed environments: a systematic and comprehensive literature review
Amiri, Zahra; Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet (Springer, 2023)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 Drones (IoD), and Internet of Vehicles ... -
A Secure Intrusion Detection Platform Using Blockchain and Radial Basis Function Neural Networks for Internet of Drones
Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet (IEEE-Inst Electrical Electronics Engineers Inc, 2023)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 technologies have attracted much attention ...