Zobrazeno 1 - 10
of 2 891
pro vyhledávání: '"Multi-class Classification"'
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems, Vol 30, Iss 1, Pp 898-923 (2024)
The multiple birth support vector machine (MBSVM) typically utilizes a hinge loss function, which is susceptible to noise sensitivity and instability during resampling. To overcome these issues, we introduce two models: linear and nonlinear MBSVM mod
Externí odkaz:
https://doaj.org/article/212693c400df4e4a980c318cc6b6f3d2
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 4108-4123 (2024)
Cancer is the second leading cause of disease-related death worldwide, and machine learning-based identification of novel biomarkers is crucial for improving early detection and treatment of various cancers. A key challenge in applying machine learni
Externí odkaz:
https://doaj.org/article/b4ed66ee2a2a484d9b452e0007fea48e
Autor:
Ashraf Alghanmi, Akilu Yunusa-Kaltungo
Publikováno v:
Energy and Built Environment, Vol 5, Iss 6, Pp 911-932 (2024)
Fault detection and diagnosis (FDD) approaches comprise three main pillars: model-based, knowledge-based, and data-driven strategies. Data-driven approaches prioritise operational data and do not necessitate in-depth understanding of the system's bac
Externí odkaz:
https://doaj.org/article/19f07991bd224dbc92745b24a5599f90
Publikováno v:
Academy Journal of Science and Engineering, Vol 18, Iss 2, Pp 201-218 (2024)
Personalized accurate diagnosis is key for effective diabetes management. This study develops an ensemble machine learning approach using XGBoost, Random Forest, and Support Vector Machine for enhanced multi-class prediction of diabetes types. A data
Externí odkaz:
https://doaj.org/article/d7cb32df63c14fd1a736a9779613464b
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol 12, Iss 1 (2024)
Age-related macular diseases (AMD) are common reason for visual impairment in humans. These anomalies can result from a variety of illnesses and disorders. Currently, skilled medical professionals make this diagnosis by visually inspecting the pictur
Externí odkaz:
https://doaj.org/article/5190f79064b3481cb09d0e2526f6f6a6
Autor:
Yang Yang, Tianyu Lan, Yang Wang, Fengtian Li, Liyan Liu, Xupeng Huang, Fei Gao, Shuhua Jiang, Zhijun Zhang, Xing Chen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Heart disease is the world’s leading cause of death. Diagnostic models based on electrocardiograms (ECGs) are often limited by the scarcity of high-quality data and issues of data imbalance. To address these challenges, we propose a condit
Externí odkaz:
https://doaj.org/article/f9629ad107b34f0bae4e1ac3e1cf4339
Publikováno v:
International Journal Bioautomation, Vol 28, Iss 2, Pp 85-96 (2024)
Cataract, an age-related eye disease, poses a significant ophthalmological public health challenge in both developed and developing nations. Tailoring treatment or surgery plans helps accurately categorise the cataract's developmental stage. Precise
Externí odkaz:
https://doaj.org/article/6d45f1674c744e3784a4a9fd0de00de5
Autor:
Mehrdad Motamed Shariati, Saeid Eslami, Nasser Shoeibi, Alireza Eslampoor, Mohammadreza Sedaghat, Hamid Gharaei, Siamak Zarei-Ghanavati, Akbar Derakhshan, Majid Abrishami, Mojtaba Abrishami, Seyedeh Maryam Hosseini, Saeed Shokuhi Rad, Mohammadreza Ansari Astaneh, Raheleh Mahboub Farimani
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Introduction Open globe injuries (OGI) represent a main preventable reason for blindness and visual impairment, particularly in developing countries. The goal of this study is evaluating key variables affecting the prognosis of open globe in
Externí odkaz:
https://doaj.org/article/70e62c5f7aa242bdac46dd00415fa0ad
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Accurate preoperative identification of ovarian tumour subtypes is imperative for patients as it enables physicians to custom-tailor precise and individualized management strategies. So, we have developed an ultrasound (US)-based
Externí odkaz:
https://doaj.org/article/0b6e384f37f64fb69b62d7fa8da2876c
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100569- (2024)
Intense tropical cyclones (TCs) cause significant damage to human societies. Forecasting the multiple stages of TC intensity changes is considerably crucial yet challenging. This difficulty arises due to imbalanced data distribution and the need for
Externí odkaz:
https://doaj.org/article/96ef02108c6e4b88a5aa66405eadb287