Zobrazeno 1 - 10
of 249
pro vyhledávání: '"John G Breslin"'
Publikováno v:
IEEE Access, Vol 12, Pp 156505-156524 (2024)
The financial landscape has undergone a profound shift due to the decentralisation and digitisation brought about by cryptocurrencies. As people begin to reevaluate traditional notions of monetary ownership, cryptocurrencies will be poised to play an
Externí odkaz:
https://doaj.org/article/35031d9772814b11a6fb5a40934316e9
Autor:
Muhammad Yahya, Abdul Wahid, Lan Yang, John G. Breslin, Evgeny Kharlamov, Muhammad Intizar Ali
Publikováno v:
IEEE Access, Vol 12, Pp 89804-89817 (2024)
The integration of heterogeneous and unstructured data in Industry 4.0, poses a significant challenge, particularly with advanced manufacturing techniques. To address this issue, Knowledge Graphs (KGs) have emerged as a pivotal technology, yet their
Externí odkaz:
https://doaj.org/article/469d838adf0d450699a0683b53cd9e91
Publikováno v:
IEEE Access, Vol 12, Pp 81105-81121 (2024)
While current research predominantly focuses on image-based colorization, the domain of video-based colorization remains relatively unexplored. Many existing video colorization techniques operate frame-by-frame, often overlooking the critical aspect
Externí odkaz:
https://doaj.org/article/0003a7db81eb498dbda40edf156db36b
Publikováno v:
Human-Centric Intelligent Systems, Vol 4, Iss 1, Pp 1-24 (2024)
Abstract Estimating the remaining useful life (RUL) of critical industrial assets is of crucial importance for optimizing maintenance strategies, enabling proactive planning of repair tasks, enhanced reliability, and reduced downtime in prognostic he
Externí odkaz:
https://doaj.org/article/4400c8de4b974b32844792edbc6ac75c
Publikováno v:
IEEE Access, Vol 11, Pp 135061-135073 (2023)
The emergence of Industry 4.0 has transformed modern-day factories into high-tech industrial sites through rapid automation and increased access to real-time data. Deep learning approaches possessing superior capabilities for intelligent, data-driven
Externí odkaz:
https://doaj.org/article/042558efc8c04c3f9759e8ffd1a7562e
Autor:
Reyazur Rashid Irshad, Shahid Hussain, Ihtisham Hussain, Ibrar Ahmad, Adil Yousif, Ibrahim M. Alwayle, Ahmed Abdu Alattab, Khaled M. Alalayah, John G. Breslin, Mohammed Mehdi Badr, Joel J. P. C. Rodrigues
Publikováno v:
IEEE Access, Vol 11, Pp 69282-69294 (2023)
The Internet of Things (IoT) based smart city applications are the latest technology-driven solutions designed to collect and analyze data to enhance the quality of life for urban residents by creating more sustainable, efficient, and connected commu
Externí odkaz:
https://doaj.org/article/8e55e87dd5fd410a859fb2ffe95eb34c
Publikováno v:
IEEE Access, Vol 11, Pp 37360-37377 (2023)
The ongoing industrial revolution termed Industry 4.0 (I4.0) has borne witness to a series of profound changes towards increasing smart automation, particularly in the industrial sectors of automotive, aerospace, manufacturing, etc. Automatic welding
Externí odkaz:
https://doaj.org/article/dcb02facb4844094b8eadc28bdc1386c
Publikováno v:
Sensors, Vol 22, Iss 22, p 8974 (2022)
The rapid development in manufacturing industries due to the introduction of IIoT devices has led to the emergence of Industry 4.0 which results in an industry with intelligence, increased efficiency and reduction in the cost of manufacturing. Howeve
Externí odkaz:
https://doaj.org/article/9fb7fa09a2bf4ca3b75640dce5207fd2
Autor:
Abderahman Rejeb, John G. Keogh, Wayne Martindale, Damion Dooley, Edward Smart, Steven Simske, Samuel Fosso Wamba, John G. Breslin, Kosala Yapa Bandara, Subhasis Thakur, Kelly Liu, Bridgette Crowley, Sowmya Desaraju, Angela Ospina, Horia Bradau
Publikováno v:
Future Internet, Vol 14, Iss 6, p 161 (2022)
Huge advances in peer-to-peer systems and attempts to develop the semantic web have revealed a critical issue in information systems across multiple domains: the absence of semantic interoperability. Today, businesses operating in a digital environme
Externí odkaz:
https://doaj.org/article/eb999625dd9041ed81043b1765071bfa
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4221 (2022)
The proliferation of sensing technologies such as sensors has resulted in vast amounts of time-series data being produced by machines in industrial plants and factories. There is much information available that can be used to predict machine breakdow
Externí odkaz:
https://doaj.org/article/4cdba807d35846fd85017eae6eea27fc