Emerging Trends and Applications of Big Data Analytics and the Internet of Things for Future Smart Cities

Dear Colleagues,

In recent years, the Internet of Things has been a notably evolving interdisciplinary research area for both academia and industry professionals. IoT devices yield massive amounts of structured and unstructured data and, to deal with this huge amount of data, Big Data Analytics (BDA) technology must be adapted. This Special Issue invites submissions wirh the scope and exploitation/fusion of Big Data Analytics (BDA) and the Internet of Things (IoT) and their applications for future smart cities. Big data analytics has been gaining much attention from diverse disciplines such as computer science, information technology, social sciences, etc. The intermingling of BDA and IoT results in more advanced, intelligent, smart and efficient systems, which are meeded at present and the future. The use of Big Data tools and softwares can better process the massive volumes of data and could help to propose new services for a smart city.

Futhermore, this Special Issue invites the extended version of accepted manuscripts from the International Conference on Smart Computing and Application (ICSCA 2022). The conference will be organized by the College of Computer Science and Engineering, University of HA’IL, Saudi Arabia and will be held in hybrid (onsite and virtual) from 4-5 December 2022. This Special Issue is open to high-quality research contributions from a wide range of professions including scholars, researchers, academicians, and industry people. In this Special Issue, we hope to promote discussion and contributions towards innovative solutions. Furthermore, the aim is to focus on original research papers of high quality, providing practical applications for real-world problems and bridging the gap between industry and academia. Topics of interest include, but are not limited to, the following:

• Big data analytics and social media
• Machine learning and AI for big data
• Smart computing models, tools, and devices
• Smart computing models, devices, tools and systems for big data
• Techniques, models and algorithms for big data
• Security and privacy for big data
• Infrastructure and platform for big data and smart computing
• Data and information quality
• Big data and Cloud Computing
• Big data analytics and stock market
• Software Engineering for big data analytics
• Big data analytics for smart cities
• Big data analytics for e-healthcare
• Big data analytics for water management
• Big data analytics for waste management
• Healthcare services and health informatics
• Remote pain/patient monitoring using IoT
• Big data analytics for urban traffic management
• IoT and BDA for Smart Grid, Smart Home, Connected Car, Connected Health, Smart Farming, Smart Education, etc.
• Deployment of big data for security, privacy, and trust for smart future networks
• Big data analytics for mitigating traffic accidents, congestion, environmental pollution, etc.
• IoT-based sensing, mining, processing, and communication
• IoT-based weather monitoring and forecasting

Prof. Dr. Habib Hamam
Dr. Ateeq Ur Rehman
Prof. Dr. Mohamed Tahar Ben Othman
Guest Editors

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