Advances in Computational Methods for Synergistic Information Fusion in Industry 4.0

Dear Colleagues,

With the emergence of full-scale automation and intelligence-everywhere, an immense number of data sources are being integrated with advanced technologies framed by Industry 4.0 for a wide variety of applications. Synergistic Information Fusion (SIF) is the process of framing information from multiple sources irrespective of industry 4.0 technology paradigm-type to produce a sustainable, inclusive, and adaptive framework for an entity of interest. Such frameworks aim to deal with cross-domain issues originating from large-scale machine-to-machine (M2M) communications, Internet of Things (IoT), and Artificial Intelligence (AI) with an integration viewpoint. For example, AI-driven IoT-based (AIoT) healthcare is the ultimate future of traditional healthcare services and applications. As such, AIoT healthcare will be riding on the back of a SIF framework consisting of IoT, big data, medical informatics, AI, and 5G-like internet services. The implementation of such information fusion-oriented frameworks therefore requires sophisticated computational and algorithmic methods. The purpose of this Special Issue is to present contemporary issues, promising methodologies, and potential applications related to all aspects of SIF in Industry 4.0.

Both theoretical and practical papers dealing with computations, algorithms, system design, performance analysis, and experimental studies are welcome. Potential topics include but are not limited to the keywords listed below:

• Information fusion with Sensorization
• Information fusion for network security and privacy
• Information fusion for medical applications
• Multiomics data analysis, integration, and applications
• Convergence and standardization issues in information fusion
• Information fusion based decision support systems
• Information fusion for multimedia data processing
• Information fusion in smart city applications
• Business models for information fusion
• Industrial trends in information fusion-based systems and applications

Dr. S.M. Riazul Islam
Dr. Mahmud Hossain
Dr. Faisal Tariq
Guest Editors

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• Information Fusion
• Artificial Intelligence
• Internet of Things
• Sensorization
• Medical Applications
• Smart City Applications
• Multiomics Analysis
• Convergence
• Industry 4.0
• Multimedia and Big Data