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检索条件"主题词=Machine Learning Classification"
160 条 记 录,以下是11-20 订阅
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Southwest Pacific tropical cyclone development classification utilizing machine learning and synoptic composites
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INTERNATIONAL JOURNAL OF CLIMATOLOGY 2022年 第8期42卷 4187-4213页
作者: Bhowmick, Rupsa Trepanier, Jill C. Haberlie, Alex M. Louisiana State Univ Dept Geog & Anthropol Baton Rouge LA 70803 USA
This study evaluates the ability of machine learning algorithms to classify tropical depressions (TDs) and tropical storms (TSs) in the western region of the southwest Pacific Ocean (SWPO). Decision rules are generate... 详细信息
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Big data analytics and classification of cardiovascular disease using machine learning
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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022年 第2期43卷 2025-2033页
作者: Narejo, Sanam Shaikh, Anoud Memon, Mehak Maqbool Mahar, Kainat Aleem, Zonera Zardari, Bisharat Mehran Univ Engn & Technol Dept Comp Syst Engn Jamshoro Pakistan Mehran Univ Engn & Technol Dept Software Engn Jamshoro Pakistan Univ Teknol Petronas Dept Comp & Informat Sci Seri Iskandar Perak Malaysia
Hundreds of people dying from heart disease almost every day that is how terrific a delayed diagnosis can be. Living in an advanced era full of intelligent systems, the increasing number of deaths can be reduced. This... 详细信息
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Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda  23
Addressing contingency in algorithmic (mis)information class...
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6th ACM Conference on Fairness, Accountability, and Transparency (FAccT)
作者: Hernandez, Andres Dominguez Owen, Richard Nielsen, Dan Saattrup Mcconville, Ryan Univ Bristol Bristol England Alexandra Inst Aarhus Denmark
machine learning (ML) enabled classification models are becoming increasingly popular for tackling the sheer volume and speed of online misinformation and other content that could be identified as harmful. In building... 详细信息
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Customer Churn Prediction by classification Models in machine learning  9
Customer Churn Prediction by Classification Models in Machin...
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9th International Conference on Electrical and Electronics Engineering (ICEEE)
作者: Zhao, Heng Zuo, Xumin Xie, Yuanyuan Shenzhen Technol Univ Coll Big Data & Internet Shenzhen Peoples R China
The classification model in machine learning has been employed to address different problems. machine learning classification is an effective method to realize customer churn prediction. This article provides a compar... 详细信息
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machine learning Based Abnormal Gait classification with IMU Considering Joint Impairment
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SENSORS 2024年 第17期24卷 5571页
作者: Hwang, Soree Kim, Jongman Yang, Sumin Moon, Hyuk-June Cho, Kyung-Hee Youn, Inchan Sung, Joon-Kyung Han, Sungmin Korea Inst Sci & Technol KIST Res Ctr B Biomed Res Div Seoul 02792 South Korea Korea Univ Sch Biomed Engn Seoul 02841 South Korea Korea Univ Coll Med Dept Neurol Anam Hosp Seoul 02841 South Korea Korea Univ Sci & Technol KIST Sch Div Biomed Sci & Technol Seoul 02792 South Korea Kyung Hee Univ KHU KIST Dept Converging Sci & Technol Seoul 02447 South Korea
Gait analysis systems are critical for assessing motor function in rehabilitation and elderly care. This study aimed to develop and optimize an abnormal gait classification algorithm considering joint impairments usin... 详细信息
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Ganoderma boninense classification based on near-infrared spectral data using machine learning techniques
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2023年 232卷
作者: Tan, Mas Ira Syafila Mohd Hilmi Jamlos, Mohd Faizal Omar, Ahmad Fairuz Kamarudin, Kamarulzaman Jamlos, Mohd Aminudin Univ Malaysia Pahang Fac Elect & Elect Engn Technol Pekan 26600 Malaysia Univ Sains Malaysia Sch Phys George Town 11800 Penang Malaysia Univ Malaysia Perlis Fac Elect Engn Technol Pauh Putra 02600 Perlis Malaysia Univ Malaysia Perlis Fac Elect Engn Technol Pauh Putra 02600 Perlis Malaysia
Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causes a severe threat to the palm oil industry. Early detection of G. boninense is vital since there is no effective treatment to... 详细信息
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Environmental sustainability: A machine learning approach for cost analysis in plastic recycling classification
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RESOURCES CONSERVATION AND RECYCLING 2023年 第1期197卷
作者: Carrera, Berny Mata, Judit Bazin Pinol, Victor Luid Kim, Kwanho Incheon Natl Univ Ind & Management Engn Songdodong 119 Acad ro Incheon 22012 South Korea Univ Politecn Cataluna Ind Engn Avinguda Diagonal 647 Barcelona 08028 Spain
Recycling plastics can reduce waste generation and improve waste management, but the recycling industry needs both cost reduction and increased revenue to be economically viable. Recently, recycling plastic classifica... 详细信息
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Enhanced Binary Kepler Optimization Algorithm for effective feature selection of supervised learning classification
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JOURNAL OF BIG DATA 2025年 第1期12卷 1-67页
作者: Abd El-Mageed, Amr A. Abohany, Amr A. Hosny, Khalid M. Sohag Univ Dept Informat Syst Sohag 82511 Egypt Damanhour Univ Fac Comp & Informat Damanhour Egypt Zagazig Univ Fac Comp & Informat Dept Informat Technol Zagazig 44519 Egypt
This study proposes an Enhanced Binary Kepler Optimization Algorithm (BKOA-MUT) improves feature selection (FS) by integrating Kepler's planetary motion laws with DE/rand and DE/best Mutation Approach. BKOA-MUT ba... 详细信息
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Binary classification of Fractal Time Series by machine learning Methods  15th
Binary Classification of Fractal Time Series by Machine Lear...
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15th International Scientific Conference on Intellectual Systems of Decision Making and Problems of Computational Intelligence (ISDMCI)
作者: Kirichenko, Lyudmyla Radivilova, Tamara Bulakh, Vitalii Kharkiv Natl Univ Radioelect Kharkiv Ukraine
The paper considers the binary classification of time series based on their fractal properties by machine learning. This approach is applied to the realizations of normal and attacked network traffic, which allows to ... 详细信息
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classification of Time Realizations Using machine learning Recognition of Recurrence Plots
Classification of Time Realizations Using Machine Learning R...
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International Scientific Conference on Intellectual Systems of Decision-Making and Problems of Computational Intelligence (ISDMCI)
作者: Kirichenko, Lyudmyla Zinchenko, Petro Radivilova, Tamara Kharkiv Natl Univ Radio Elect UA-61166 Kharkiv Ukraine
In the article, the machine learning classification of time realizations using the recurrence plot visualization is considered. Every time realization is converted into a matrix of recurrence states and it is presente... 详细信息
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