Explore Machine Learning's Prediction of Football Games by Pan Bomao

“…To achieve this goal, this paper employs a variety of machine learning models, including Random Forest, support vector classifiers (SVC), and Logistic Regression, and conducts in-depth analysis of the data. …”
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Machine Learning for Promoting Environmental Sustainability in Ports by Meead Mansoursamaei, Mahmoud Moradi, Rosa G. González-Ramírez, Eduardo Lalla-Ruiz

“…Thus, this article presents the results of a systematic literature review of the recent literature on machine learning for promoting environmentally sustainable maritime ports. …”
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Machine learning methods (tokenization) in marketing research by E. V. Ganebnykh, N. K. Savelieva, A. A. Sozinova, O. V. Fokina, I. G. Altsybeeva

Subjects: “…machine learning…”
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Machine Learning Models for Spring Discharge Forecasting by Francesco Granata, Michele Saroli, Giovanni de Marinis, Rudy Gargano

“…Three different machine learning algorithms were used for spring discharge forecasting in this comparative study: M5P regression tree, random forest, and support vector regression. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

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Editorial: Mental health, epidemiology and machine learning by Marcos DelPozo-Banos, Robert Stewart, Robert Stewart, Ann John

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Analyzing the Application of Machine Learning in Anemia Prediction by Li Yuxi

“…This paper explores the applications of machine learning in the prediction of anemia, highlighting its potential to revolutionize clinical diagnosis and management. …”
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Preliminary study on the reform of machine learning teaching by Nan WEI, Lihua YIN, Hong NING, Binxing FANG

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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

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Temperature and Humidity Prediction Based on Machine Learning by Xiong Yanqi

“…This paper employs various machine learning models, including Linear Regression(LR). …”
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Causal inference and machine learning in endocrine epidemiology by Kosuke Inoue

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Machine learning security and privacy:a survey by Lei SONG, Chunguang MA, Guanghan DUAN

Subjects: “…machine learning…”
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Coverage bias in small molecule machine learning by Fleming Kretschmer, Jan Seipp, Marcus Ludwig, Gunnar W. Klau, Sebastian Böcker

“…Abstract Small molecule machine learning aims to predict chemical, biochemical, or biological properties from molecular structures, with applications such as toxicity prediction, ligand binding, and pharmacokinetics. …”
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Improving fluoroprobe sensor performance through machine learning by D. Lafer, A. Sukenik, T. Zohary, O. Tal

Subjects: “…Machine learning…”
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Application of machine learning tools and immersive technologies in management by A. V. Sosnilo

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Early detection of sepsis using machine learning algorithms by Rasha M. Abd El-Aziz, Alanazi Rayan

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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…E calculated by DTS was chosen as the target value for prediction. Different machine learning algorithms were selected, optimizing parameters to achieve the best performance for each algorithm. …”
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Machine Learning in Information and Communications Technology: A Survey by Elias Dritsas, Maria Trigka

Subjects: “…machine learning…”
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Application of machine learning in the fake user identification of IoT by Rongfang ZHANG, Dandan XU, Yuanguang WANG, Siyu PAN, Zhengmao LI

“…The purpose was to use machine learning models to identify users who have high suspiciousness effectively. …”
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Machine Learning Analysis of Informal Minibus Taxi Driving by Cele Nomfundo, Kibangou Alain, Musakwa Walter

“…This paper presents a machine learning analysis of driving behaviors in informal minibus taxis, focusing on both controlled and uncontrolled environments. …”
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