TC-CPS

Journals


Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning, deep learning, Database, Big Data, quantum computing, Blockchain, Zero-Knowledge, Internet of Things, Cybersecurity, and parallel and distributed computing. A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.

Special Issue on Remote Sensing and IoT for Smart Learning Environments

Concentrating on the areas of planning, framework, protocol, and algorithm for smart sensing can increase the high performance of hardware platform or software framework. The main aim of this Special Issue is to invite scholars, academicians, and professionals to submit their research works, ideas, and implementations related to remote sensing and IoT platforms for Smart Learning Environments...

Special Issue on Smart Cyberphysical Systems and Cloud–Edge Engineering

The growing scale, in terms of devices and data, of modern sCPS and the need to perform complex processing and provide fast responses makes cloud–edge platforms natural candidates for integrating such systems. By applying the model and principles of cloud computing to sCPS, any virtual or physical device, including sensors and actuators, is available as a service and can quickly and autonomously be provisioned for usage to meet the user and application demands. By leveraging the edge computing paradigm, time constraints of CPS can be dealt with. In this context, this Special Issue intends to explore the multiple aspects of sCPS and the role of cloud–edge computing as an integrating and enabling platform for this paradigm...

Special Issue on Distributed Intelligence at the Edge for the Future Internet of Things

These only are some of the challenges of edge intelligence. This field is expected to arise in the upcoming years and become an essential part of the next generation of the Internet of Things that expands its reach into almost every domain. Therefore, this Special Issue seeks to identify and provide high-quality research on recent advances on edge AI and distributed edge AI. We are interested in all aspects pertaining to this multidisciplinary paradigm...

Special Issue on Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare

This special issue invites a wide range of researchers, both from the computer science community and the biomedical research groups, to submit up-to-date results in cutting-edge deep learning and big data analysis technologies in biomedical and healthcare applications. With the emergence of novel methods and techniques in AI, machine learning, and deep learning, research results from both AI-based and traditional methods will be closely connected, bringing significant impacts on data mining, machine learning, computer vision, biomedical research, healthcare engineering, etc.

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