Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Anomaly classification"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3050-3065 (2024)
Network softwarization, which shifts hardware-centric functions to software implementations, is essential for enhancing the agility of cellular and non-cellular wireless networks. This change, while raising reliability concerns, also improves system
Externí odkaz:
https://doaj.org/article/ef7026b72ab441a291d368c80b49ef67
Autor:
Çağatay Berke Erdaş
Publikováno v:
PeerJ Computer Science, Vol 10, p e2071 (2024)
Colorectal cancer is an enormous health concern since it is among the most lethal types of malignancy. The manual examination has its limitations, including subjectivity and data overload. To overcome these challenges, computer-aided diagnostic syste
Externí odkaz:
https://doaj.org/article/c9c386a441cc491bbf25c9de9c0b3a75
Publikováno v:
Future Internet, Vol 16, Iss 7, p 239 (2024)
In the rapidly evolving landscape of scientific semiconductor laboratories (commonly known as, cleanrooms), integrated with Internet of Things (IoT) technology and Cyber-Physical Systems (CPSs), several factors including operational changes, sensor a
Externí odkaz:
https://doaj.org/article/5df858bf0b034a1d8d08a08f6be7443e
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract This article discusses an effective technique for detecting abnormalities in Hajj crowd videos. In order to guarantee the identification of anomalies in scenes, a trained and supervised FCNN is turned into an FCNN using FCNNs and temporal da
Externí odkaz:
https://doaj.org/article/54f4bbed301f40edb4a891fef13fb54a
Publikováno v:
IEEE Access, Vol 11, Pp 50560-50577 (2023)
The Internet of Things (IoT) has been a critical and emerging technology platform enabling the development and deployment of smart devices to solve real-world challenges and issues. In addition, IoT applications have gathered various and numerous dat
Externí odkaz:
https://doaj.org/article/7ce22411e6824890a396a2dfd3ce695f
Publikováno v:
IEEE Access, Vol 11, Pp 29744-29758 (2023)
A small deviation in manufacturing systems can cause huge economic losses, and all components and sensors in the system must be continuously monitored to provide an immediate response. The usual industrial practice is rather simplistic based on brute
Externí odkaz:
https://doaj.org/article/a36df7eef8ab4f40a761f581d25cfd40
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 800 (2024)
Deep learning algorithms often struggle to accurately distinguish between healthy and anomalous states due to the scarcity of high-quality data in real-world applications. However, these data can be obtained through a physics-based simulation model.
Externí odkaz:
https://doaj.org/article/1f1aecae2ed748079ab5fc4cc3f6981f
Publikováno v:
Data, Vol 9, Iss 1, p 17 (2024)
Machine learning (ML) methods are commonly applied in the fields of extraterrestrial physics, space science, and plasma physics. In a prior publication, an ML classification technique, the Random Forest (RF) algorithm, was utilized to automatically i
Externí odkaz:
https://doaj.org/article/92b15e41b52a411d9d0edd084f126f48
Publikováno v:
Underground Space, Vol 7, Iss 4, Pp 680-701 (2022)
This paper addresses the significance of preprocessing big data collected during a tunnel boring machine (TBM) excavation before it is used for machine learning on various TBM performance predictions. The research work is based on two water diversion
Externí odkaz:
https://doaj.org/article/ebcb53ec75c344359da4ac1ea9150123
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200232- (2023)
The fourth industrial revolution (Industry 4.0) has the potential to provide real-time, secure, and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a powerful tool to make this promise a reality because it can provi
Externí odkaz:
https://doaj.org/article/46cc9ab9934843428f81c84c1464a378