Guest Editors
Dr. Mujahid Tabassum, University of Technology and Applied Sciences, Oman.
Dr. Sundresan Perumal, Universiti Sains Islam Malaysia, Malaysia.
Dr. Jubaer Ahmed, Swinburne University of Technology, Malaysia.
Dr. Hadi Nabipour Afrouzi, Swinburne University of Technology, Malaysia.
Dr. Saad Bin Abul Kashem, Academic Bridge Program, Qatar Foundation, Australia.
Summary
This Special Issue will accept and presents selected peer-reviewed papers from the researchers.
It will focus on the latest IoT related technological and smart solutions using Artificial Intelligence (AI) and Machine Learning (ML) techniques.
The Internet of Things (IoT) is a collection of interrelated computing systems, mechanical and digital systems which have a specific identity and the capacity to transmit data across a network without human-to-human or human-to-machine interaction to enhance the network efficiency. Artificial intelligence (AI) and its applications are now the hottest research areas. In recent years, there have been more and more AI applications have been used in every field. AI technology is promoting the development of the agricultural, transportation, medical and health industries. IoT industry is increasing and influences many industries/applications such as e-health care, smart cities, smart transportation, and industrial engineering. The recent progress in artificial intelligence and machine learning techniques have revolutionized various fields of synthetic vision, significantly pushing the state of the art of artificial vision systems into a wide range of high-level tasks. Therefore, a lot of developments and research are going on to enhance IoT performance and productivity in various industries using machine learning and artificial intelligence. Furthermore, big data analytics, deep intelligence, depth learning, fog computing, cloud computing, sustainable networks, intelligent solutions have been used in IoT base medical, agricultural, industrial and health care systems. Today, many fraudulent and malicious activities are rising to hack these networks. It is essential to create awareness among customers and companies while performing financial transactions.
This Special Issue focus on advanced AI and ML techniques use in IoT base medical, agricultural, industrial and health care systems. This SI will provide opportunities for researchers and practitioners to publish their latest innovative contributions in the areas of IoT using latest AI and ML techniques. IoT network deals with a large quantity of data which is hard to access and analyse without using an appropriate algorithm. AI and ML techniques play an essential role in effective analysing of extensive data. The special issue will attract readers from different research areas, including novel algorithms and applications for IoT industrial applications, big data analysis, as well as devices and tools for smart farming, smart monitoring, and health monitoring. Cybersecurity provides legitimate solutions to online communication platforms to ensure trust between the client and companies.
We are comprising topics related to diverse aspects of IoT smart and technological networks, wireless sensor networks, machine learning, intelligent data processing, artificial intelligence and cyber security.
· Machine learning approaches in IoT.
· IoT solutions and automation.
· Edge computing for smart agriculture.
· Resource optimization and Context-aware data algorithm solutions for IoT applications.
· Latest architectures and models for IoT network.
· Designs and implementations for IoT ecosystem.
· Energy-efficient sensing techniques in IoT.
· Data Mining and processing in Wireless Sensor Network.
· Big data management and analytic techniques in the IoT network.
· Big Data Analytics for prediction in the medical application for COVID-19.
· Deep learning techniques for identifying micro issues in IoT devices.
· Decision support systems and making (AI, machine learning).
· Security and data processing in the IoT and WSN networks.
· New trends in cybersecurity to tackle security vulnerabilities and Cybersecurity models for E-commerce.
· Possible attacks across the E-commerce.
· Advance cybersecurity algorithms to enhance security measures in online financial transactions.
· Advance cybersecurity and big data mining methodologies.
· Blockchain assisted cybersecurity solutions for E-commerce.
Keywords
IoT networks, Wireless Sensor Network, Smart Systems, Mobile and Wireless Communication, Big data, Machine Learning, Computational intelligence, Intelligent Data Processing, Control Systems and Robotics, Cloud Computing, Security and Networks
Published Papers
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