A Review of Segmented Stator and Rotor Designs in AC Electric Machines: Opportunities and Challenges by Bhuvan Khoshoo, Anmol Aggarwal, Shanelle Foster

Subjects: “…AC electric machines…”
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MIP Models and Hybrid Algorithms for Simultaneous Job Splitting and Scheduling on Unrelated Parallel Machines by Duygu Yilmaz Eroglu, H. Cenk Ozmutlu

“…We developed mixed integer programming (MIP) models and hybrid genetic-local search algorithms for the scheduling problem of unrelated parallel machines with job sequence and machine-dependent setup times and with job splitting property. …”
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Effects of Machining Parameters on Abrasive Flow Machining of Single Crystal γ-TiAl Alloy Based on Molecular Dynamics by Junye Li, Chao Song, Xin Du, Hongcai Xie, Jinghe Zhao, Ying Chen

Subjects: “…machining parameters…”
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Beyond personas. Machine Learning to personalise the project by Niccolò Casiddu, Francesco Burlando, Isabella Nevoso, Claudia Porfirione, Annapaola Vacanti

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Machine learning models for water safety enhancement by Fatemeh Ranjbar, Hossein Sadeghi, Reza Pourimani, Soraya Khanmohammadi

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Hydraulic Power Plant Machine Dynamic Diagnosis by Hans Günther Poll, José Carlos Zanutto, Walter Ponge-Ferreira

“…Machine diagnosis of Francis units consists on a proper evaluation of acquired mechanical, thermal and hydraulic data obtained in different operating conditions of several rotary and non rotary machine components. …”
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TEXT CLASSIFICATION BASED ON SUPPORT VECTOR MACHINE by Lê Thị Minh Nguyện

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Nanodiamond quantum thermometry assisted with machine learning by Kouki Yamamoto, Kensuke Ogawa, Moeta Tsukamoto, Yuto Ashida, Kento Sasaki, Kensuke Kobayashi

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Cutting Force in Stone Machining by Diamond Disk by S. Turchetta

“…Stone machining by diamond disk is a widespread process to manufacture standard products, such as tiles, slabs, and kerbs. …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…In this study, machine learning (ML) classifiers were evaluated for their effectiveness in predicting diabetes using the Pima Indians Diabetes Database. …”
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Variational Methods in Optical Quantum Machine Learning by Marco Simonetti, Damiano Perri, Osvaldo Gervasi

“…This will result in the development of new machine-learning paradigms and a significant advancement in the field of quantum computation. …”
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Machine politics: The cultural science of permissionless systems by Rennie Ellie

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Mapping positional accuracy for milling machine table by D. A. Blokhin, Yu. A. Blokhina, M. M. Lakman

Subjects: “…machining centers…”
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TRANSFORMATION OF MARKETING TECHNOLOGIES IN MACHINE INTELLIGENCE ERA by V. Starostin

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Machine learning algorithms in air quality modeling by A. Masih

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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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Evaluating Machine Unlearning: Applications, Approaches, and Accuracy by Zulfiqar Ali, Asif Muhammad, Rubina Adnan, Tamim Alkhalifah, Sheraz Aslam

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NEW CHALLENGES IN ABRASIVE WATER JET MACHINING by CATALINA CIOFU, CATALIN TAMPU, EUGEN HERGHELEGIU, COSMIN ALEXANDRU IANCU, GHEORGHE BRABIE

Subjects: “…abrasive water jet machining, particle size, nozzle wear…”
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