Machine Learning for Emerging Cognitive Internet of Things
摘要截稿:
全文截稿: 2018-08-31
影响因子: 1.902
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 心理学 - 3区
• 小类 : 计算机:人工智能 - 4区
• 小类 : 神经科学 - 4区
• 小类 : 心理学:实验 - 4区
Overview
The Internet of Things (IoT) is of our future world. There has been immense outgrowth in recent years in the development of IoT. IoT interconnects various physical devices, objects, and people. A vital role of IoT is to collect and share information between connected physical objects, such as mobile devices, sensors, vehicles and manufacturing machines. IoT has been widely applied in many areas of our lives like smart city development, smart home development, continuous patient monitoring and environmental monitoring systems.
All these brings the necessity to handle big data with their continuous monitoring. The cognitive internet of things enables these IoT devices to intelligently interact with other devices. This brings in importance of machine learning for cognitive internet of things. The IoT will be just a raw data without intelligent processing via various AI and machine learning methods. In recent years, many machine learning algorithms have been developed exclusively to process the massive amounts of IoT computing data. This special issue focuses on innovations in various machine learning algorithms and AI computing methods for cognitive IoT. The key research topics that include: