Výsledky vyhľadávania - "supervised learning algorithm"

Application of Machine Learning for Classifying and Identifying Security Threats Using a Supervised Learning Algorithm Approach

Autori: Yudhi Arta Suzani Mohamad Samuri Nesi Syafitri a ďalší

Zdroj: INOVTEK Polbeng - Seri Informatika. 10:1422-1431

Classification System Based on Electrodermal Activity Using Supervised Learning Algorithm with Galvanic Skin Response

Autori: Anisa Andri Yani Sinaga Sri Hartati

Zdroj: 2025 International Conference on Advanced Machine Learning and Data Science (AMLDS). :378-383

Classification of E-Commerce Shipping Timeliness Using Supervised Learning Algorithm

Autori: Novrian Pratama Rifka Anrahvi Ahmed Tambal a ďalší

Zdroj: Public Research Journal of Engineering, Data Technology and Computer Science. 3:59-69

Laser Point Cloud-Image Fusion Technology for Intelligent Driving Vehicles Based on Semi-Supervised Learning Algorithm

Autori: Jianping Lan Xiujuan Dong

Zdroj: IEEE Access, Vol 12, Pp 132664-132676 (2024)

Predmety: 3D object detection, camera-LiDAR system, Electrical engineering. Electronics. Nuclear engineering, image fusion, laser point cloud, Semi-supervised learning algorithm, TK1-9971

Prístupová URL adresa: https://doaj.org/article/aad9ccf6dbb24155affa1592de70a572

Implementation of Supervised Learning Algorithm on Spotify Music Genre Classification

Autori: Muhammad Fiqri Farhan Bin Siddik Lizen Muhammad Ikrom

Zdroj: IJATIS: Indonesian Journal of Applied Technology and Innovation Science. 2:7-12

Neural Network Deep Supervised Learning Algorithm Based on Multimodal Data

Autori: Yunxia Fu

Zdroj: 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). :1-5

Monitoring Heart Rate Variability and Forecasting Heart Diseases in Electrocardiogram using Supervised Learning Algorithm

Autori: Saritha M Thiruvalar Selvan P

Zdroj: 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). :1-5

Selecting the optimal supervised learning algorithm for fault diagnosis in predictive maintenance

Autori: Djahida Belayadi Ikrame Amrouche Malak Sakina Lahouassa

Zdroj: Journal of Industrial and Management Optimization. 21:5716-5737

Multi-Modal Self-Supervised Learning Algorithm-Based Product Recommendation

Autori: Li Gao Haiping Fan Qingkui Chen a ďalší

Zdroj: IEEE Transactions on Automation Science and Engineering. 22:15371-15380

A supervised learning algorithm for the inverse source problem of fractional wave equations

Autori: Tari Marzabad, Abolfazl Mohammadi, Abumoslem

A deep feature refinement self-supervised learning algorithm for medical image annotation

Autori: Jiyong Zhang Deguang Li Yan Wu a ďalší

Zdroj: Applied Intelligence. 55

Supervised Learning Algorithm in Classification : A Comparison of SVM and KNN

Autori: Maniraj V

Zdroj: International Research Journal of Education and Technology. 6:93-97

An Intelligent Model for Prediction of Heart Failure with Enhanced Self-Supervised Learning Algorithm

Autori: Tamizh Arasi GS Arjun K P Balamurugan B a ďalší

Zdroj: 2024 International Conference on Intelligent & Innovative Practices in Engineering & Management (IIPEM). :1-6

Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm

Autori: Y. Chu H. Zhang X. Li a ďalší

Zdroj: eISSN
Atmospheric Measurement Techniques, Vol 18, Pp 2781-2801 (2025)

Predmety: Earthwork. Foundations, TA715-787, Environmental engineering, TA170-171

Popis súboru: application/pdf

Prístupová URL adresa: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-3160/
https://amt.copernicus.org/articles/18/2781/2025/
https://doaj.org/article/4dff32679e444c12817c2fd5cf5c2e79

A Novel Two-Step Semi-Supervised Learning Algorithm for Discovering Participant Eligibility for the Affordable Connectivity Program

Autori: Junwen Duan

Zdroj: 2024 5th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). :21-28

Supervised Learning Algorithm for Deep Spiking Neural Networks Based on Instantaneous Error

Autori: Yanan Li Xianghong Lin Xiaoqing Fan

Zdroj: 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). :350-355

Research on intelligent calibration method of high precision digital multimeter based on supervised learning algorithm

Autori: Hao Zeng Xiaoyu Yu Peng Fu a ďalší

Zdroj: 2024 IEEE AUTOTESTCON. :1-8

Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty?: a proof-of-concept study

Autori: Andreas Fontalis Baixiang Zhao Pierre Putzeys a ďalší

Zdroj: Bone Jt Open
Bone & Joint Open, Vol 5, Iss 8, Pp 671-680 (2024)

Predmety: sacral slope, total hip arthroplasty, impingement, acetabular component, pelvis, supervised learning, biomechanics, hips, 03 medical and health sciences, offset, 0302 clinical medicine, Orthopedic surgery, prospective cohort study, Engineering design, Hip, pelvic incidence, flexion, robotic arm, artificial intelligence, spinopelvic mobility, radiographs, Electronic computers. Computer science, robotic-arm assistance, total hip arthroplasty (tha), virtual range of motion, RD701-811

Popis súboru: text

Prístupová URL adresa: https://doaj.org/article/b84ff6c0da4a42cf9dfccc3c159aec33

Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm

Autori: Chu, Yunpei Zhang, Huiying Li, Xia a ďalší

Zdroj: Atmospheric Measurement Techniques, 18 (12)

Popis súboru: application/application/pdf

Prístupová URL adresa: http://hdl.handle.net/20.500.11850/743854

Supervised Learning Algorithm Reveals the Mechanistic Role of Extracellular Polymeric Substances in Biofouling of an Anaerobic Electrochemical Membrane Bioreactor

Autori: Chengxin Niu Bo Zhou Xueye Wang a ďalší

Zdroj: ACS ES&T Engineering.