Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…However, it is well known in machine learning literature that some of the extracted features are irrelevant to the classification process with a negative or no effect on its accuracy. …”
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Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

“…This research endeavors to fortify the security posture of Software-Defined Networks (SDN) through the strategic utilization of intelligent machine learning techniques, with a primary focus on mitigating detrimental Denial of Service (DoS) attacks. …”
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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

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Machine learning-based myocardial infarction bibliometric analysis by Ying Fang, Yuedi Wu, Lijuan Gao

Subjects: “…machine learning…”
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania by Judith Leo, Edith Luhanga, Kisangiri Michael

“…The study recommends a review of health-care systems in order to facilitate quality data collection and deployment of machine learning techniques.…”
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Machine learning approaches to Landsat change detection analysis by Galen Richardson, Anders Knudby, Morgan A. Crowley, Michael Sawada, Wenjun Chen

“…When monitoring Earth’s surface change using Landsat data and machine learning, it is essential to consider the implications of the size of the study area, specifics of the machine learning model, and image temporal density. …”
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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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Machine learning potential predictor of idiopathic pulmonary fibrosis by Chenchun Ding, Quan Liao, Renjie Zuo, Shichao Zhang, Zhenzhen Guo, Junjie He, Ziwei Ye, Weibin Chen, Sunkui Ke

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Machine Learning Methods for Weather Forecasting: A Survey by Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li

Subjects: “…machine learning…”
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FORECASTING DEFERRED TAXES IN INTERNATIONAL ACCOUNTING WITH MACHINE LEARNING by Osman Bayri, Ahmet Çağdaş Seçkin, Feden Koç

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Enhancing hydraulic fracturing efficiency through machine learning by Ali Karami, Ali Akbari, Yousef Kazemzadeh, Hamed Nikravesh

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Incorporating Machine Learning into Vibration Detection for Wind Turbines by J. Vives

“…With machine learning techniques, wind turbine components can be detected and diagnosed in advance, so degeneration can be prevented. …”
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Imbalanced Data Problem in Machine Learning: A Review by Manahel Altalhan, Abdulmohsen Algarni, Monia Turki-Hadj Alouane

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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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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

“…This study investigates the performance of three machine learning models (decision trees. SVMs, and random forests) in predicting online course participation. …”
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Using machine learning-based models for personality recognition by Fatemeh Mohades Deilami, Hossein Sadr, Mozhdeh Nazari

“…Our proposed method was validated on the Essay dataset by conducting a series of experiments and the empirical results demonstrated the superiority of our proposed method compared to both machine learning and deep learning methods for the task of personality recognition.…”
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Human Resource Information System with Machine Learning Integration by Jake R. Pomperada

“… The human resource information system with machine learning integration was developed to aid in the management of employees’ records, profiling, turnover, data analytics, and the generation of electronic personal data sheets used by the government service records. …”
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The Use of Machine Learning Approaches for the Diagnosis of Acute Appendicitis by Omer F. Akmese, Gul Dogan, Hakan Kor, Hasan Erbay, Emre Demir

“…In this study, an estimation method based on machine learning was developed to identify individuals with acute appendicitis. …”
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Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…This study aims to evaluate and compare the performance of various machine learning models on the task of house price prediction. …”
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