正文
Emerging technologies enabling intelligent connected vehicles and collaborative systems.
Hardware and software design for intelligent systems based on Multicore, FPGA, GPU and heterogeneous architectures.
Hardware and software solutions for run-time system management, power management, diagnostics and self-adaptation.
Machine and Deep Learning for autonomous vehicles and industry 4.0: Hardware accelerators, GPU, Multi-cores, etc.
Safe human-machine interaction in automated decision-making systems.
Safety in AI-based system architectures.
Safety and security assessment and detection of security threats and vulnerabilities.
Design of security and privacy for intelligent systems
Sensors, actuators and wireless technologies for intelligent systems
Design of efficient computing and reliable communication systems for harsh environments
Energy modeling and optimization for low powered embedded devices, such as for UAS (Unmanned Aerial System)
计算机科学与技术
Microprocessors and Microsystems
Machine Learning and Blockchain for Cognitive Internet of Things
全文截稿: 2021-03-15
影响因子: 1.045
CCF分类: C类
中科院JCR分区:
• 大类 : 工程技术 - 4区
• 小类 : 计算机：硬件 - 4区
• 小类 : 计算机：理论方法 - 4区
• 小类 : 工程：电子与电气 - 4区
网址: https://www.journals.elsevier.com/microprocessors-and-microsystems
Cognitive Internet of Things (CIoT) is an emerging field where in IoT systems are made more intelligent and smarter using cognitive computing. The intuitive ability of IoT combined with cognitive power of Machine learning and security of blockchain is capable of building transformative techniques. CIoT with machine learning and blockchain presents enormous opportunities for building intelligent and smart applications. Machine learning enables cognitive computing to develop a “thinking” system. It allows the system to learn and analyze the new data as it comes. The blockchain technology provides more security to the data and disables any kind of breaches. The enormous data generated by connected devices essentially needs cognitive power to build intelligent systems. On the other hand, the security of this data is of utmost importance for various applications.
