Special Issue on Advances of Neurocomputing for Smart Cities
• 大类 : 工程技术 - 2区
• 小类 : 计算机：人工智能 - 2区
In recent years, urban environments have been reimagined as "Smart cities of the future" with the intelligent computation capacity to monitor, learn about, and adapt to the people that inhabit them. Innovations in information and communication technologies have made cities smarter at being able to run their systems more efficiently and effectively, connecting them with their residents and communities. The word "Smart" is interchangeable with intelligent, digital, or ubiquitous, to connect a wide range of city- and citizen-related issues based on intelligent technologies.
With the resurgence of deep learning architectures and learning methods, neurocomputing has been applied to a variety of disciplines and proved highly successful in a vast class of intelligent applications cross many domains, e.g., computer vision, speech recognition, text understanding, natural language processing, Game AI, and many more. Some initial attempts of applying neurocomputing on smart cities can be found in the literature. However, many challenging research problems, such as the architecture of neurocomputing, neural network modelling, accurate and efficient learning methods, and neural network based automatic scheduling for smart cities remain unsolved well. This special issue intends to collect and disseminate latest discoveries, researches and results on Neurocomputing for smart cities.
The list of possible topics includes, but is not limited to:
Architecture, Algorithm for Intelligent Computing on Smart Cites
Neural Networks based Algorithms and Applications for Smart Cites
Machine Learning and Artificial Intelligence for Smart Cites
Neural network modelling for Smart Cites
Urban Planning/Scheduling on Neural Networks for Smart Cities
High-performance Computing Architectures for Neurocomputing on Smart Cities
Internet of Things (IoT) based on Neurocomputing for Smart Cities