Zobrazeno 1 - 10
of 1 040
pro vyhledávání: '"abnormality detection"'
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 90, Iss 937, Pp 24-00127-24-00127 (2024)
During the cutting process, it is crucial to replace cutting tools at the right time to meet machining accuracy requirements. However, determining tool life relies on the unsystematic tacit knowledge of skilled engineers. Moreover, the increasing var
Externí odkaz:
https://doaj.org/article/b4b2c88a4d624d0ebfe9865cd36f5a64
Autor:
Santosh Pandurang Jadhav, Angalkuditi Srinivas, Patil Dipak Raghunath, M. Ramkumar Prabhu, Jaya Suryawanshi, Anandakumar Haldorai
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101157- (2024)
The information gathered within the structure health monitored (SHM) device would display a range of irregularities mainly a result of sensing defeat, noise disturbance, and different causes. This will greatly impair the structure's security evaluati
Externí odkaz:
https://doaj.org/article/403cc1407bff41b4939e23d389b8fb82
Publikováno v:
IEEE Access, Vol 12, Pp 139225-139236 (2024)
According to the latest report by the WHO, cardiovascular disease claims approximately 17.9 million lives annually, making it one of the leading causes of mortality. Hence, early screening and detection of cardiovascular diseases are important for th
Externí odkaz:
https://doaj.org/article/0fdef654878640d0ac20b64cff7815d2
Publikováno v:
IEEE Access, Vol 12, Pp 51556-51569 (2024)
Abnormality detection of power generation equipment is of great significance in enhancing equipment reliability. In the era of Industry 4.0, with the rapid development and extensive application of IoT and sensor technology, large-scale sensing device
Externí odkaz:
https://doaj.org/article/b62c41ada5604c1cb2b82a50d8c519ef
Publikováno v:
IEEE Access, Vol 12, Pp 47972-47992 (2024)
This study aims to quantitatively assess the impact of the COVID-19 pandemic on societal electricity consumption behavior, particularly considering the interference of special events. Currently, there is insufficient quantitative analysis of the exte
Externí odkaz:
https://doaj.org/article/a034a08235c54698ae75215fefd68125
Publikováno v:
Algorithms, Vol 17, Iss 8, p 364 (2024)
Heart diseases such as cardiovascular and myocardial infarction are the foremost reasons of death in the world. The timely, accurate, and effective prediction of heart diseases is crucial for saving lives. Electrocardiography (ECG) is a primary non-i
Externí odkaz:
https://doaj.org/article/3a0ec1a37a194a16afaf235f4d131486
Autor:
Adel Oulefki, Yassine Himeur, Thaweesak Trongtirakul, Kahina Amara, Sos Agaian, Samir Benbelkacem, Mohamed Amine Guerroudji, Mohamed Zemmouri, Sahla Ferhat, Nadia Zenati, Shadi Atalla, Wathiq Mansoor
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27973- (2024)
Solar Photovoltaic (PV) systems are increasingly vital for enhancing energy security worldwide. However, their efficiency and power output can be significantly reduced by hotspots and snail trails, predominantly caused by cracks in PV modules. This a
Externí odkaz:
https://doaj.org/article/11cd1991650e4f6b84f340a29f70054b
Autor:
Wang Zhixian
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Under the current background of increasingly fierce social competition, the psychological pressure of college student groups is increasing, and mental health problems are becoming more and more significant. Based on the cognitive model of mental heal
Externí odkaz:
https://doaj.org/article/7c1d05ce5ec54b6392b2e58681007bff
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper firstly focuses on the automatic detection of mental health in colleges and universities and the sequential quadratic programming algorithm, proposes a psychological abnormality detection model for college students based on the sequential
Externí odkaz:
https://doaj.org/article/e44b92d6aa72436985027ceb4cbb805b
Autor:
Guoquan Chang, Haoqian Chang
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e22026- (2023)
Underground gas sensors as the most intuitive tool for monitoring gas concentrations in underground mining, yet they are subject to frequent anomalies due to ground pressure, constructions, even malicious masking by workers. Due to the depth of under
Externí odkaz:
https://doaj.org/article/a893f1f2c67b4e65b00b26fb8485dd86