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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Le mouvement vivant. Critique du corps machine by François Félix

“…Un modèle inadéquat auquel pourtant le mariage aujourd’hui de l’homme et de la machine redonne une préoccupante actualité. …”
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De la botanique appliquée aux « ethno-machins » by Serge Bahuchet

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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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Application of Extreme Learning Machine Algorithm for Drought Forecasting by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Zulfiqar Ali, Ijaz Hussain, Fuad S. Al-Duais

“…This research has inferred the implication and the appropriateness of the extreme learning machine (ELM) algorithm for drought forecasting. For numerical evaluation, time series data of the Standardized Precipitating Temperature Index (SPTI) are used for nine meteorological stations located in various climatological zones of Pakistan. …”
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Dynamic Research of a Nonlinear Stochastic Vibratory Machine by Yimin Zhang, Qiaoling Liu, Bangchun Wen

“…This paper presents the dynamics problems of stochastic vibratory machine systems. The random responses of the vibratory machine systems with stochastic parameters subjected to random excitation are researched using a stochastic perturbation method. …”
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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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Management of production risk on objects of machine-building complex by V. S. Serdyuk, A. M. Dobrenko, O. A. Tsorina, E. V. Bakiko

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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 vision model for drip leakage detection of pipeline by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

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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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Automatic Recognition and Detection System Based on Machine Vision by Lu Wang, Lihong Cui

“…In order to realize the automation of part identification and detection and the intellectualization of part production, this paper proposes a method of automatic identification and detection of parts based on machine vision (overall method). This paper combines machine vision with motion control theory and uses pulse coupled neural network (PCNN) edge detection and recognition algorithms to preliminarily design a set of machine vision automatic recognition and detection systems and carry out detection and recognition experiments on small parts such as relay covers. …”
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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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