Special issue on Social, Mobile, Analytic and Cloud (SMAC) Technologies: Intelligent computing for future smart cities
摘要截稿:
全文截稿: 2020-03-31
影响因子: 5.268
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 2区
• 小类 : 结构与建筑技术 - 2区
• 小类 : 能源与燃料 - 2区
• 小类 : 绿色可持续发展技术 - 2区
Overview
A smart city refers to a city equipped with the basic infrastructure to give a decent quality of life, a clean and sustainable environment to the citizens using smart technology-based solutions. It is a smarter way to deliver governance, providing city services to its residents and develop the infrastructure. Cities in many countries globally are governed by multiple organizations and authorities. The different spatial entities with multiple boundaries deter effective planning and governance. Thus, to realize a viable and resilient smart city-smart nation scenario, “people-centric” strategic technology components are imperative to eventually create smart outcomes for citizens. SMAC (Social, Mobile, Analytic and Cloud) technologies give instant access to desired data for building an intelligent environment which creates value for people, cities, and industries. These technologies are considered to drive the next generation of data analytics and permeate intelligence and decision making into the physical world to continually shape the future cities and enhance the human experience in real-time.
This special issue aims to stimulate discussion on the design, use and evaluation of SMAC technologies for smart sustainable cities with smarter applications, including, smart health, smart governance, smart homes and smart buildings, smart mobility and transportation, smart factories and smart data-driven decision making. Moreover, dynamic domains of applied artificial intelligence such as machine learning, data mining and semantic web, amongst others, provide novel and sophisticated techniques as scalable intelligent solutions. We encourage submission of articles describing applications of intelligent methods to leverage deeper insights from the vast amount of generated data to improve the urban ecosystem. Concurrently, we also welcome theoretical work and review articles on smart computing systems for future cities.
Topics of interest include, but are not limited to: