Zobrazeno 1 - 10
of 7 179
pro vyhledávání: '"multi‐class"'
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:
T. P. Mithun Haridas, Suraj Kamal, Arun A. Balakrishnan, Rosemol Thomas, N. A. Nezla, Kannan Balakrishnan, M. H. Supriya
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 6, Pp 1510-1530 (2024)
Underwater environments, especially the coral reefs, are the habitat of many critically endangered species. Extensive monitoring of these aquatic ecosystems is essential for conserving and deep understanding of these vulnerable habitats. Monitoring b
Externí odkaz:
https://doaj.org/article/fab15de612464c92875187394fcf2c3e
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
Autor:
Chenfangqian Xu, Xiaoxin Guo, Guangqi Yang, Yihao Cui, Longchen Su, Hongliang Dong, Xiaoying Hu, Songtian Che
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract To solve the issue of diagnosis accuracy of diabetic retinopathy (DR) and reduce the workload of ophthalmologists, in this paper we propose a prior-guided attention fusion Transformer for multi-lesion segmentation of DR. An attention fusion
Externí odkaz:
https://doaj.org/article/6ffa07b3ee654fa3a63f925b93cf42cb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Epilepsy is one of the most well-known neurological disorders globally, leading to individuals experiencing sudden seizures and significantly impacting their quality of life. Hence, there is an urgent necessity for an efficient method to det
Externí odkaz:
https://doaj.org/article/ab13ec0db78f4a88abab91ceaf91369e
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
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTWith the development of social media, it has become increasingly important to quickly and accurately identify social media texts related to disasters (e.g. typhoon) to aid in rescue and recovery efforts. Currently, multi-class classification
Externí odkaz:
https://doaj.org/article/f2a05fac17c946febee90dbe9b61371e
Publikováno v:
Frontiers in Medical Engineering, Vol 2 (2024)
Stress has been recognized as a pivotal indicator which can lead to severe mental disorders. Persistent exposure to stress will increase the risk for various physical and mental health problems. Early and reliable detection of stress-related status i
Externí odkaz:
https://doaj.org/article/86c0309145ee4fac8fd4cc1d71ba1827