Zobrazeno 1 - 10
of 1 073
pro vyhledávání: '"Ensemble machine learning"'
Autor:
Tahmina A. Keya, S Sreeramanan, SB Siventhiran, S Maheswaran, Saravana Selvan, Kevin Fernandez, Low J An, A Leela, R Prahankumar, A Lokeshmaran, AV Boratne
Publikováno v:
Medical Journal of Dr. D.Y. Patil Vidyapeeth, Vol 17, Iss 5, Pp 990-1003 (2024)
Background: The world economy is significantly impacted by floods. Identifying flood risk is essential to flood mitigation techniques. AIM: The primary goal of this study is to create a geographic information system (GIS)-based flood susceptibility m
Externí odkaz:
https://doaj.org/article/69b022a1f6aa4c208999f531cf8e17f6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Maternal health risks can cause a range of complications for women during pregnancy. High blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health conditions can all lead to pregnancy complications. Proper iden
Externí odkaz:
https://doaj.org/article/28ca619508b84ec2bf75173ad713223c
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 3, Pp 1337-1348 (2024)
In the realm of data science, dealing with real-world datasets often presents a formidable challenge, primarily due to the sheer volume of features that significantly lack relevance or may be redundant. Effective feature engineering is vital in const
Externí odkaz:
https://doaj.org/article/2ce1712a13ab4b9583e8856ce3cb0f11
Autor:
Ibrahim Wichka, Pin-Kuang Lai
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3669-3679 (2024)
Celiac disease poses a significant health challenge for individuals consuming gluten-containing foods. While the availability of gluten-free products has increased, there is still a need for therapeutic treatments. The advancement of computational dr
Externí odkaz:
https://doaj.org/article/cf856de826aa42019b81ec5742025b4b
Publikováno v:
Smart Cities, Vol 7, Iss 4, Pp 1836-1856 (2024)
In response to increasing urbanization and the need for infrastructure resilient to natural hazards, this study introduces an AI-driven predictive model designed to assess the risk of soil liquefaction. Utilizing advanced ensemble machine learning te
Externí odkaz:
https://doaj.org/article/06c22d45ab0748b7a84fe71f51567efa
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Objective This study was designed to develop and validate a robust predictive model for one-year mortality in elderly coronary heart disease (CHD) patients with anemia using machine learning methods. Methods Demographics, tests, comorbiditie
Externí odkaz:
https://doaj.org/article/c6a759e936c54b41989c82759bf70238
Autor:
Tsair-Fwu Lee, Yen-Hsien Liu, Chu-Ho Chang, Chien-Liang Chiu, Chih-Hsueh Lin, Jen-Chung Shao, Yu-Cheng Yen, Guang-Zhi Lin, Jack Yang, Chin-Dar Tseng, Fu-Min Fang, Pei-Ju Chao, Shen-Hao Lee
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Purpose This study aims to develop an ensemble machine learning-based (EML-based) risk prediction model for radiation dermatitis (RD) in patients with head and neck cancer undergoing proton radiotherapy, with the goal of achieving superior p
Externí odkaz:
https://doaj.org/article/df84e7e0d00c41729986d40fc45a232f
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-18 (2024)
Abstract The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other connected devices with little to no human intervention. IoT enables data aggregation and analysi
Externí odkaz:
https://doaj.org/article/301ee7199d0f4367aebd76351da9ca59
Autor:
Showmitra Kumar Sarkar, Rhyme Rubayet Rudra, Swapan Talukdar, Palash Chandra Das, Md. Sadmin Nur, Edris Alam, Md Kamrul Islam, Abu Reza Md. Towfiqul Islam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The aim of the study was to estimate future groundwater potential zones based on machine learning algorithms and climate change scenarios. Fourteen parameters (i.e., curvature, drainage density, slope, roughness, rainfall, temperature, relat
Externí odkaz:
https://doaj.org/article/86a069deaf6c4fe787d1861bcc83261b
Publikováno v:
Electronic Journal of Structural Engineering, Vol 24, Iss 3 (2024)
In recent years, fiber-reinforced polymers (FRP) have emerged as a highly effective solution for strengthening reinforced concrete (RC) structures. However, accurately assessing the fire resistance of FRP-strengthened members remains a significant ch
Externí odkaz:
https://doaj.org/article/76ef052e2d194a71abc9195284f3d837