CONELPABO: composite networks learning via parallel Bayesian optimization to predict remaining useful life in predictive maintenance
Sign Up to like & getrecommendations! Published in 2025 at "Neural Computing and Applications"
DOI: 10.1007/s00521-025-10995-z
Abstract: Maintaining equipment and machinery in industries is imperative for maximizing operational efficiency and prolonging their lifespan. The adoption of predictive maintenance enhances resource allocation, productivity, and product quality by proactively identifying and addressing potential equipment… read more here.
Keywords: predictive maintenance; bayesian optimization; conelpabo composite; networks learning ... See more keywords
Trainable Delays in Time Delay Neural Networks for Learning Delayed Dynamics
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3379020
Abstract: In this article, the connection between time delay systems and time delay neural networks (TDNNs) is presented from a continuous-time perspective. TDNNs are utilized to learn the nonlinear dynamics of time delay systems from trajectory… read more here.
Keywords: time; learning delayed; networks learning; delay neural ... See more keywords
Use of Social Networks for Learning Purposes Among Medical and Paramedical Sciences Students, Mashhad, Iran
Sign Up to like & getrecommendations! Published in 2019 at "Studies in health technology and informatics"
DOI: 10.3233/978-1-61499-959-1-105
Abstract: Social networking sites are communication and information technologies which can facilitate the interaction between professors and students. The purpose of this study was to investigate the use of social networks for learning purposes among medical… read more here.
Keywords: among medical; purposes among; social networks; learning purposes ... See more keywords