Zobrazeno 1 - 10
of 1 436
pro vyhledávání: '"RBM"'
Autor:
Leonardo Braga, Igor De Souza Pinto, Paulo Apicelo De Souza Pereira, Mateus Carvalho Amaral, Rodolfo Cardoso
Publikováno v:
Journal of Eta Maritime Science, Vol 12, Iss 3, Pp 310-318 (2024)
In the contemporary landscape characterized by heightened competitive pressures, adept maintenance management assumes a pivotal and strategic role in cost mitigation and profit augmentation. This paper applies the risk-based maintenance (RBM) methodo
Externí odkaz:
https://doaj.org/article/2255f2a40f394b0486790e853834cb54
Publikováno v:
Advanced Science, Vol 11, Iss 42, Pp n/a-n/a (2024)
Abstract This study presents findings that demonstrate the possibility of simplifying neural networks by inducing multifunctionality through separate manipulation within a single material. Herein, two‐terminal memristor W/ZnTe/W devices implemented
Externí odkaz:
https://doaj.org/article/73431a8fa24a4d5b8738a191c8ec11f8
Autor:
Dhimas Widhi Handani, Makoto Uchida
Publikováno v:
Kapal, Vol 21, Iss 2, Pp 92-101 (2024)
Risk management of ship machinery is an important issue since machinery out of order can run into danger, especially for ships at sea. This paper implements risk based maintenance (RBM) to minimize the frequency and consequences of ship machinery fai
Externí odkaz:
https://doaj.org/article/26201e8ae0b049009a5203efde0fc13c
Autor:
Rashmi Sahay, Anand Nayyar, Rajesh Kumar Shrivastava, Muhammad Bilal, Simar Preet Singh, Sangheon Pack
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 459-464 (2024)
The network of resource constraint devices, also known as the Low power and Lossy Networks (LLNs), constitutes the edge tire of the Internet of Things applications like smart homes, smart cities, and connected vehicles. The IPv6 Routing Protocol over
Externí odkaz:
https://doaj.org/article/71fc1a526aa54c95b0449b9defbc9809
A risk-based maintenance planning in process industry using a bi-objective robust optimization model
Publikováno v:
In Computers and Chemical Engineering March 2025 194
Autor:
Ranganathaswamy Madihalli Kenchappa, Rakesh Kumar Yadav, Alka Singh Noida, Arvind Kumar Pandey
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 1, Pp 241-250 (2024)
Industrial automation systems (IASs) are utilized in vital facilities to sustain society's fundamental services. As a consequence, protecting them against terrorist operations, natural catastrophes and cyber-threats is essential. The research on tech
Externí odkaz:
https://doaj.org/article/29a8cb9be364445791fcaa89d61bf740
Autor:
Im, Seongil a, b, Hwang, JinGyeong c, d, Jeong, Jae-Seung f, Lee, Hyejin c, Park, Min Hyuk d, Cho, Jeong Ho b, Ju, Hyunsu a, ⁎, Lee, Suyoun c, e, ⁎⁎
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena September 2024 186
Publikováno v:
Wasit Journal for Pure Sciences, Vol 3, Iss 2 (2024)
ABSTACT Sound source localization especially speech and speaker is sole of the most significant techniques recently because used in various applications like smart environments, industry, robots, and audio conferences. So, the usage of these techni
Externí odkaz:
https://doaj.org/article/94ee1da3b51e444d8716d4261080edf8
Publikováno v:
IEEE Access, Vol 12, Pp 186171-186185 (2024)
Accurately predicting stock prices remains a formidable challenge in financial markets. Traditional predictive models often aggregate data from multiple companies, failing to account for the unique characteristics of each firm, which can hinder the m
Externí odkaz:
https://doaj.org/article/2905f5226dab4908916fb887b724dc21
Publikováno v:
IEEE Access, Vol 12, Pp 18488-18507 (2024)
Dorsal hand vein (DHV) recognition is a burgeoning biometric technology that has recently garnered considerable attention. This article uses image processing and deep learning to present a novel DHV recognition approach. It involves detecting and ide
Externí odkaz:
https://doaj.org/article/48e6c9d2ec12417e8650261901e7fae7