Special section on Sensors and Wearable-based Intelligent Systems
摘要截稿:
全文截稿: 2019-12-24
影响因子: 2.663
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:硬件 - 3区
• 小类 : 计算机:跨学科应用 - 3区
• 小类 : 工程:电子与电气 - 3区
Overview
Overview
Sensor-based IoT (Internet of Things) systems and wearable systems have become popular recently due to their portability, effectiveness, easy-of-use interface, and accurate measurements. Modern smart and intelligent environments need advancements in such sensor and wearable-based applications that can not only thrive on the power of sensor-based systems, but also solve daily life problems in the domains of health, education, governance, security, tourism, etc. Thus, it is important to develop intelligent methods and techniques that can use artificial intelligent algorithms to maximize the use of sensors and wearable devices and produce intelligent and smart IoT systems that are beneficial for humans.
In the past few decades, automated and intelligent Smart Systems have emerged, opening new research directions that are still evolving due to new challenges and technological advances in the field. The aim of this special section is to bring together academics and industrial practitioners to exchange and discuss the latest innovations and applications of IoT and wearable devices in the domain of artificial intelligent-based systems. The International Conference on Intelligent Technologies and Applications (Bahawalpur – Pakistan Oct, 2019, INTAP-2019, http://jdconline.net/intap/) is being organized by Artificial Intelligence Research Group with cooperation of Sir Sadiq Association of Computing and the Islamia University of Bahawalpur, Pakistan. INTAP-2019 focuses mainly on techniques and applications for IoT and wearable-based smart environments. This special section will include a few invited extended versions of the best papers presented at INTAP-2019.
Topics
The scope of this special sectin is the application of artificial intelligence techniques and algorithms using IoT and wearable devices to designing and solving problems of smart systems in the domain of education, health, agriculture, business, etc. These techniques might include: