Results 21 to 30 of about 10,678,049 (278)
Robust online learning based on siamese network for ship tracking
The complex and changeable inland river scenes resulting out of frequent occlusions of ships in the available tracking methods are not accurate enough to estimate the motion state of the target ship leading to object tracking drift or even loss.
Zhongyi Hu +5 more
doaj +1 more source
Scheduling of non-repetitive lean manufacturing systems under uncertainty using intelligent agent simulation [PDF]
World-class manufacturing paradigms emerge from specific types of manufacturing systems with which they remain associated until they are obsolete. Since its introduction the lean paradigm is almost exclusively implemented in repetitive manufacturing ...
Papadopoulou, T C, Mousavi, A
core +4 more sources
Internet of Robotic Things in Smart Domains: Applications and Challenges
With the advent of the Fourth Industrial Revolution, Internet of Things (IoT) and robotic systems are closely cooperating, reshaping their relations and managing to develop new-generation devices. Such disruptive technology corresponds to the backbone of
Laura Romeo +3 more
doaj +1 more source
Requirements for manufacturing operations management and control systems in a dynamic environment [PDF]
Paper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems ...
Tapio Salonen +11 more
core +3 more sources
In recent years, several studies have investigated upper-limb motion in a variety of scenarios including motor control, physiology, rehabilitation and industry.
Robert Mihai Mira +3 more
doaj +1 more source
Image processing technology has always been a hot and difficult topic in the field of artificial intelligence. With the rise and development of machine learning and deep learning methods, swarm intelligence algorithms have become a hot research direction,
Minghai Xu +4 more
doaj +1 more source
Anomaly detection is a topic of interest in several areas, ranging from Industry 4.0 to Energy Management, Smart Agriculture, Cybersecurity, and Bioinformatics.
Adriano Liso +6 more
doaj +1 more source
Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis
Human motion tracking is a valuable task for many medical applications. Marker-based optoelectronic systems are considered the gold standard in human motion tracking. However, their use is not always feasible in clinics and industrial environments.
Cristina Brambilla +8 more
doaj +1 more source
QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly
QUB-PHEO introduces a visual-based, dyadic dataset with the potential of advancing human-robot interaction (HRI) research in assembly operations and intention inference.
Samuel Adebayo +2 more
doaj +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source

