Results 51 to 60 of about 22,005,364 (301)
A Survey on Machine-Learning Based Security Design for Cyber-Physical Systems
A cyber-physical system (CPS) is the integration of a physical system into the real world and control applications in a computing system, interacting through a communications network.
Sangjun Kim, Kyung-Joon Park
doaj +1 more source
PID controller for temperature control with multiple actuators in cyber-physical home system [PDF]
Nowadays, the need of temperature control at home is significantly demanded as the current controller used in buildings are not efficient and enough flexible to be adapted to any changes. In this research, we are focused on controlling two actuators (i.e.
Lim, Azman Osman +5 more
core +1 more source
Trust establishment in cooperating cyber-physical systems
S.31-47Cooperating systems are systems of systems that collaborate for a common purpose. Cooperating cyber-physical systems often base important decisions on data gathered from external sensors and use external actuators to enforce safety critical ...
Jäger, M. +4 more
core +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
A blockchain based Trusted Persistent Identifier system for Big Data in Science
A stable reference of Internet resources is crucial not only to identify a resource in a trustworthy and certified way but also to guarantee continuous access to it over time.
Bellini Emanuele
doaj +1 more source
Study of temperature control in cyber-physical home system environment [PDF]
Technology advances allow us to design smart home system for the purpose to achieve high demands on occupants' comfort. In this research, we focus on the temperature control to build a thermal comfort controller for the existing hybrid temperature ...
Lim, Azman Osman +2 more
core
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Semantics of Cyber-Physical Systems [PDF]
The very recent development of Cyber-Physical Systems (CPS) provides a smart infrastructure connecting abstract computational artifacts with the physical world. The solution to CPS must transcend the boundary between the cyber world and the physical world by providing integrated models addressing issues from both worlds simultaneously.
Tharam S. Dillon +3 more
openaire +2 more sources
Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang +5 more
wiley +1 more source
Eliminating vendor lock-in in quantum machine learning via framework-agnostic neural networks
IntroductionQuantum machine learning (QML) sits at the intersection of quantum computing and artificial intelligence and offers the potential to solve problems that remain intractable for classical methods.
Poornima Kumaresan +3 more
doaj +1 more source

