Browsing by Author "Heidari, Arash"
Now showing items 1-13 of 13
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Applications of deep learning in Alzheimer's disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Toumaj, Shiva; Heidari, Arash; Shahhosseini, Reza; Navimipour, Nima Jafari (SPRINGER, 2024)Alzheimer's Disease (AD) constitutes a significant global health issue. In the next 40 years, it is expected to affect 106 million people. Although more and more people are getting AD, there are still no effective drugs ... -
The applications of nature-inspired algorithms in Internet of Things-based healthcare service: A systematic literature review
Amiri, Zahra; Heidari, Arash; Zavvar, Mohammad; Navimipour, Nima Jafari; Esmaeilpour, Mansour (WILEY, 2024)Nature-inspired algorithms revolve around the intersection of nature-inspired algorithms and the IoT within the healthcare domain. This domain addresses the emerging trends and potential synergies between nature-inspired ... -
Assessment of reliability and availability of wireless sensor networks in industrial applications by considering permanent faults
Heidari, Arash; Amiri, Zahra; Jamali, Mohammad Ali Jabraeil; Jafari, Nima (WILEY, 2024)Wireless Sensor Networks (WSNs) are critical for communication within a mile radius and industrial applications. These networks are very prone to failure due to their enormous number of nodes and their unique hardware and ... -
Botnets Unveiled: A Comprehensive Survey on Evolving Threats and Defense Strategies
Asadi, Mehdi; Jamali, Mohammad Ali Jabraeil; Heidari, Arash; Navimipour, Nima Jafari (WILEY, 2024)Botnets have emerged as a significant internet security threat, comprising networks of compromised computers under the control of command and control (C&C) servers. These malevolent entities enable a range of malicious ... -
Comprehensive survey of artificial intelligence techniques and strategies for climate change mitigation
Amiri, Zahra; Heidari, Arash; Navimipour, Nima Jafari (PERGAMON-ELSEVIER SCIENCE LTD, 2024)With the galloping progress of the changing climates all around the world, Machine Learning (ML) approaches have been prevalently studied in many types of research in this area. ML is a robust tool for acquiring perspectives ... -
Deep study on autonomous learning techniques for complex pattern recognition in interconnected information systems
Amiri, Zahra; Heidari, Arash; Jafari, Nima; Hosseinzadeh, Mehdi (ELSEVIER, 2024)Artificial Intelligence (AI) and Machine Learning (ML) are being used more and more to handle complex tasks in many different areas. As a result, interconnected information systems are growing, which means that autonomous ... -
Enhancing Solar Convection Analysis With Multi-Core Processors and GPUs
Heidari, Arash; Amiri, Zahra; Jamali, Mohammad Ali Jabraeil); Navimipour, Nima Jafari (WILEY, 2024)In the realm of astrophysical numerical calculations, the demand for enhanced computing power is imperative. The time-consuming nature of calculations, particularly in the domain of solar convection, poses a significant ... -
Everything you wanted to know about ChatGPT: Components, capabilities, applications, and opportunities
Heidari, Arash; Navimipour, Nima Jafari; Zeadally, Sherali; Chamola, Vinay (JOHN WILEY & SONS LTD, 2024)Conversational Artificial Intelligence (AI) and Natural Language Processing have advanced significantly with the creation of a Generative Pre-trained Transformer (ChatGPT) by OpenAI. ChatGPT uses deep learning techniques ... -
Fuzzy Logic Multicriteria Decision-Making for Broadcast Storm Resolution in Vehicular Ad Hoc Networks
Heidari, Arash; Jamali, Mohammad Ali Jabraeil; Navimipour, Nima Jafari (WILEY, 2024)In vehicular ad hoc networks (VANETs), the challenge of broadcast storms during data transmission arises due to an exponential increase in message rebroadcasts. This problem is exacerbated by high-speed node movements, ... -
A GSO-based multi-objective technique for performance optimization of blockchain-based industrial Internet of things
Zanbouri, Kouros; Darbandi, Mehdi; Nassr, Mohammad; Heidari, Arash; Navimipour, Nima Jafari; Yalçın, Şenay (WILEY, 2024)The latest developments in the industrial Internet of things (IIoT) have opened up a collection of possibilities for many industries. To solve the massive IIoT data security and efficiency problems, a potential approach ... -
An Innovative Performance Assessment Method for Increasing the Efficiency of AODV Routing Protocol in VANETs Through Colored Timed Petri Nets
Heidari, Arash; Jamali, Mohammad Ali Jabraeil; Navimipour, Nima Jafari (WILEY, 2025)Routing protocols are pivotal in Vehicular Ad hoc Networks (VANETs), serving as the backbone for efficient routing discovery, particularly within the realm of Intelligent Transportation Systems (ITS). However, ensuring ... -
A new service composition method in the cloud-based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework
Vakili, Asrin; Al-Khafaji, Hamza Mohammed Ridha; Darbandi, Mehdi; Heidari, Arash; Jafari Navimipour, Nima; Ünal, Mehmet (WILEY, 2024)Cloud computing is quickly becoming a common commercial model for software delivery and services, enabling companies to save maintenance, infrastructure, and labor expenses. Also, Internet of Things (IoT) apps are designed ... -
Securing and optimizing IoT offloading with blockchain and deep reinforcement learning in multi-user environments
Heidari, Arash; Navimipour, Nima Jafari; Akbarpour, Shahin; Jamali, Mohammad Ali Jabraeil (SPRINGER, 2025)The growth of the Internet of Things (IoT)-related innovations has resulted in the invention of numerous IoT objects. However, the resource limitations of individual items remain a challenge that can be overcome through ...
