Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“… This review article focuses on the application of machine learning (ML) algorithms in medical image classification. …”
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Machine learning in medicine: what clinicians should know by Jordan Zheng Ting Sim, Qi Wei Fong, Weimin Huang, Cher Heng Tan

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Symmetry-invariant quantum machine learning force fields by Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

Subjects: “…geometric quantum machine learning…”
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Geometric quantum machine learning with horizontal quantum gates by Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov, Nathan Killoran

“…In the current framework of geometric quantum machine learning, the canonical method for constructing a variational ansatz that respects the symmetry of some group action is by forcing the circuit to be equivariant, i.e., to commute with the action of the group. …”
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Enhancing hydraulic fracturing efficiency through machine learning by Ali Karami, Ali Akbari, Yousef Kazemzadeh, Hamed Nikravesh

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Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

“…This study aims to evaluate machine learning (ML) model performance compared to WHO-recommended warning signs in predicting severe dengue among laboratory-confirmed cases in Puerto Rico. …”
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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

Subjects: “…machine learning, machine learning assessment, statistical tests, machine learning algorithm, machine learning comparison.…”
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SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

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Machine Learning Applications to Dust Storms: A Meta-Analysis by Reem K. Alshammari, Omer Alrwais, Mehmet Sabih Aksoy

Subjects: “…Machine learning…”
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Editorial: AI and machine learning application for neurological disorders and diagnosis by Kandala N. V. P. S. Rajesh, Venkata Mani Vakamulla, T. Sunil Kumar

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Exploring the Landscape of Programming Language Identification With Machine Learning Approaches by Amandeep Verma, Rahul Saha, Gulshan Kumar, Alessandro Brighente, Mauro Conti, Tai-Hoon Kim

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Bio-primed machine learning to enhance discovery of relevant biomarkers by David M. Henke, Alexander Renwick, Joseph R. Zoeller, Jitendra K. Meena, Nicholas J. Neill, Elizabeth A. Bowling, Kristen L. Meerbrey, Thomas F. Westbrook, Lukas M. Simon

“…Here, we introduce a novel machine learning approach extending the Least Absolute Shrinkage and Selection Operator (LASSO) regression framework to incorporate biological knowledge, such as protein-protein interaction databases, into the regularization process. …”
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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

“…This study evaluates the capabilities of various machine learning models, including artificial neural network (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) in analyzing earthquake-induced slope displacement. …”
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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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Accelerated photonic design of coolhouse film for photosynthesis via machine learning by Jinlei Li, Yi Jiang, Bo Li, Yihao Xu, Huanzhi Song, Ning Xu, Peng Wang, Dayang Zhao, Zhe Liu, Sheng Shu, Juyou Wu, Miao Zhong, Yongguang Zhang, Kefeng Zhang, Bin Zhu, Qiang Li, Wei Li, Yongmin Liu, Shanhui Fan, Jia Zhu

“…The integration of machine learning and photonics provides a powerful toolkit for designing photonic structures and devices aimed at sustainability.…”
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Machine Learning with Tunicate Swarm Optimization for Improved Disc Herniation Prediction by Theofilos Gofas, Argyros Maris

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Defect modeling in semiconductors: the role of first principles simulations and machine learning by Md Habibur Rahman, Arun Mannodi-Kanakkithodi

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