Zobrazeno 1 - 10
of 88 963
pro vyhledávání: '"cnn"'
Autor:
Sizhe Deng, Jian Zhou
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Accurately predicting the remaining useful life (RUL) of aircraft engines is crucial for maintaining financial stability and aviation safety. To further enhance the prediction accuracy of aircraft engine RUL, a deep learning-based RUL predic
Externí odkaz:
https://doaj.org/article/a457a29d5a014692bbd382e70d3305c7
Autor:
Mishra, Priya, Swetapadma, Aleena
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 4, pp. 575-589.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-07-2023-0302
Validating predictions of burial mounds with field data: the promise and reality of machine learning
Publikováno v:
Journal of Documentation, 2024, Vol. 80, Issue 5, pp. 1167-1189.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JD-05-2022-0096
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2024, Vol. 34, Issue 8, pp. 2943-2962.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-10-2023-0644
Autor:
Aslan Sevgi Gökçe, Yılmaz Bülent
Publikováno v:
The EuroBiotech Journal, Vol 8, Iss 4, Pp 176-183 (2024)
Dysphagia, a common swallowing disorder particularly prevalent among older adults and often associated with neurological conditions, significantly affects individuals’ quality of life by negatively impacting their eating habits, physical health, an
Externí odkaz:
https://doaj.org/article/d3e2ddf50f794753b1c7c8c4646233aa
Autor:
Suman Rani, Minakshi Memoria, Ahmad Almogren, Salil Bharany, Kapil Joshi, Ayman Altameem, Ateeq Ur Rehman, Habib Hamam
Publikováno v:
BMC Musculoskeletal Disorders, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Background In today’s digital age, various diseases drastically reduce people’s quality of life. Arthritis is one amongst the most common and debilitating maladies. Osteoarthritis affects several joints, including the hands, knees, spine
Externí odkaz:
https://doaj.org/article/71682610cb4d4c1d9f59d818449c89c3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Pest detection is important for crop cultivation. Crop leaf is the main place of pest invasion. Current technologies to detect crop pests have constraints, such as low efficiency, storage demands and limited precision. Image segmentation is
Externí odkaz:
https://doaj.org/article/d357c9dfcdc74e0eb2f8c095d024caf5
Autor:
Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Heart disease is a leading cause of death globally; therefore, accurate detection and classification are prominent, and several DL and ML methods have been developed over the last decade. However, the classical approaches may be prone to ove
Externí odkaz:
https://doaj.org/article/58187d25b9e34ea38bb1efa250d5b08b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract In public spaces, threats to societal security are a major concern, and emerging technologies offer potential countermeasures. The proposed intelligent person identification system monitors and identifies individuals in public spaces using g
Externí odkaz:
https://doaj.org/article/81a6a93d084b4a0299f4890e1ad7abb7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Cardiac arrhythmias are the leading cause of death and pose a huge health and economic burden globally. Electrocardiography (ECG) is an effective technique for the diagnosis of cardiovascular diseases because of its noninvasive and cost-effe
Externí odkaz:
https://doaj.org/article/4d4c9e3858d849859b34754cbf990402