Human-Centric Intelligent Systems

The objectives of Human-Centric Intelligent Systems (HCIN) for submission in respect of a Special Issue are (a) academically excellence, (b) relevance to HCIN, and (c) innovation of topic.

This Collection seeks to gather cutting-edge research on smart cities, exploring the intersection of technology, data, and urban management to foster sustainable and innovative urban development. We welcome submissions that investigate the role of the Internet of Things, data-driven platforms, intelligent transportation systems, and smart infrastructure in shaping the future of urban living and addressing the challenges of urbanization.

The collection is edited by Dr. Rahul Priyadarshi and Prof. Dr. Dragan Peraković

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The topics of this special issue encompass all software engineering tasks and processes during the human-centric software development lifecycle, including cyber security issues.

The collection is edited by Dr. Xiao Liu, Dr. Mohan Baruwal Chhetri, Dr. Yuan Tian and Prof. Karen Renaud.

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The purpose of this Special Issue is to gather a collection of the latest studies on various topics in open-world machine learning for improving human decision-making, whether theoretical or empirical, that address but are not limited to the following topics: (i) continual learning; (ii) incremental learning; (iv) data-driven decision making; (v) knowledge-enhanced machine learning; (vi) multi-granularity cognitive computing.

The collection is edited by Dr. Chuan Luo, Prof. Dun Liu and Prof. Xin Yang.

Image Credit: [M] Grafissimo / Getty Image / iStock