Zobrazeno 1 - 10
of 5 158
pro vyhledávání: '"SHAP"'
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 5, pp. 787-806.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2023-0523
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and social trends, underpinning applications ranging from market research to political analysis. However, existing sentiment analysis models frequently
Externí odkaz:
https://doaj.org/article/42c3755db21945f6b2d56854a70e5b30
Autor:
Thanapong Champahom, Chamroeun Se, Fareeda Watcharamaisakul, Sajjakaj Jomnonkwao, Ampol Karoonsoontawong, Vatanavongs Ratanavaraha
Publikováno v:
IATSS Research, Vol 48, Iss 3, Pp 464-476 (2024)
Existing studies often overlook the nuanced differences between various road classifications and their respective crash dynamics, hindering the development of targeted interventions to mitigate crash severity. To address this gap, this study investig
Externí odkaz:
https://doaj.org/article/a905424400c346fcacc5ee4d1d0cd165
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract One of the critical issues in medical data analysis is accurately predicting a patient’s risk of heart disease, which is vital for early intervention and reducing mortality rates. Early detection allows for timely treatment and continuous
Externí odkaz:
https://doaj.org/article/96c96575899c4fb1997490031b577df1
Autor:
Munekazu Tanaka, Hirohiko Kohjitani, Erika Yamamoto, Takeshi Morimoto, Takao Kato, Hidenori Yaku, Yasutaka Inuzuka, Yodo Tamaki, Neiko Ozasa, Yuta Seko, Masayuki Shiba, Yusuke Yoshikawa, Yugo Yamashita, Takeshi Kitai, Ryoji Taniguchi, Moritake Iguchi, Kazuya Nagao, Takafumi Kawai, Akihiro Komasa, Yuichi Kawase, Takashi Morinaga, Mamoru Toyofuku, Yutaka Furukawa, Kenji Ando, Kazushige Kadota, Yukihito Sato, Koichiro Kuwahara, Yasushi Okuno, Takeshi Kimura, Koh Ono, the KCHF Study Investigators
Publikováno v:
ESC Heart Failure, Vol 11, Iss 5, Pp 2798-2812 (2024)
Abstract Aims In recent years, there has been remarkable development in machine learning (ML) models, showing a trend towards high prediction performance. ML models with high prediction performance often become structurally complex and are frequently
Externí odkaz:
https://doaj.org/article/4e9701f65a6d4f589800aaf4bab82114
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract In Virtual Reality (VR), a higher level of presence positively influences the experience and engagement of a user. There are several parameters that are responsible for generating different levels of presence in VR, including but not limited
Externí odkaz:
https://doaj.org/article/428a04e7f0a141278cae4cc666c957b5
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-24 (2024)
Abstract This article investigates the importance of moisture content in cement-stabilized earth blocks (CSEBs) and explores methods for their prediction using machine learning. A key aspect of the research is the development of accurate moisture con
Externí odkaz:
https://doaj.org/article/3236debbacee4dcfb5f5f6026f3730aa
Autor:
Jajko-Siwek Alicja
Publikováno v:
Economics and Business Review, Vol 10, Iss 3, Pp 7-33 (2024)
The study investigates the financial well-being of older people in Poland, Spain and Denmark, with a particular focus on their ability to make ends meet. Using data from the SHARE survey to analyse retired individuals aged 65 to 79 years, it aims to
Externí odkaz:
https://doaj.org/article/64dc6c0bb1844d4fa40e9b23f585b6ca
Publikováno v:
Oral, Vol 4, Iss 3, Pp 386-404 (2024)
Purpose: The purpose of this study is to assess the effectiveness of the best performing interpretable machine learning models in the diagnoses of leukoplakia and oral squamous cell carcinoma (OSCC). Methods: A total of 237 patient cases were analyse
Externí odkaz:
https://doaj.org/article/89c2a64b47bf4226a0f94550d3ca5a7b
Publikováno v:
Cancer Management and Research, Vol Volume 16, Pp 1253-1265 (2024)
Meixin Zhen,1,* Haibing Chen,1,* Qing Lu,1 Hui Li,2 Huang Yan,2 Ling Wang2 1Xiangya College of Nursing, Central South University, Changsha, Hunan, 410013, People’s Republic of China; 2Nursing Department, The Third Xiangya Hospital, Central
Externí odkaz:
https://doaj.org/article/c6c2b2c4f38d4592b8795c11e5c9ca9b