Online by Choice: Design Options for Flexible K-12 Learning. (2023). by Tim Dolighan

Subjects: “…K-12 learning…”
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Machine Learning–Enhanced Microseismic Analysis for Evaluating Rock Crack Trajectory by Xinglong Feng, Zeng Chen, Zhengrong Li, Qingtian Zeng, Jing Wang, Ping Wang

“…In this study, the evolution characteristics of MS parameters during the rock fracture process were investigated using MS localization techniques and spatial clustering methods. Machine learning methods were applied to cluster acoustic emission events, enabling the automatic identification of hazardous regions and the construction of crack propagation trajectories. …”
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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

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Efficient secure federated learning aggregation framework based on homomorphic encryption by Shengxing YU, Zhong CHEN

Subjects: “…federated learning…”
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ROLLING BEARING FAULT DIAGNOSIS BASED ON ADAPTIVE RCGMVMFE AND MANIFOLD LEARNING by LIU WuQiang, YANG XiaoQiang, SHEN JinXing

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CREATING AN ENGLISH-SPEAKING DIGITAL LEARNING ENVIRONMENT FOR PRESCHOOLERS: LINGUODIDACTIC ASPECT by Oksana Khomyshak

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PLANTNET: A DEEP LEARNING MODEL FOR EARLY DETECTION OF PLANT DISEASES by J Lenin, S Muthumarilakshmi, V S Prabhu

“…This paper presents a deep learning model, PlantNET, for early identification of plant leaf infections based on Convolutional Neural Networks (CNNs) trained on a large collection of leaf images in the PlantVillage database, including both healthy and infected samples from several crops. …”
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SVM directed machine learning classifier for human action recognition network by Dharmanna Lamani, Pramod Kumar, A Bhagyalakshmi, J. Maria Shanthi, Lakshmana Phaneendra Maguluri, Mohammad Arif, C Dhanamjayulu, Sathish Kumar. K, Baseem Khan

“…The use of traditional machine learning classifiers is done in order to further improve the discriminative capacity of the features that have been learned. …”
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Clinical validation and optimization of machine learning models for early prediction of sepsis by Xi Liu, Meiyi Li, Xu Liu, Yuting Luo, Dong Yang, Hui Ouyang, Jiaoling He, Jinyu Xia, Fei Xiao, Fei Xiao, Fei Xiao

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Psychological Motivation of Athletes’ Physical Training Based on Deep Learning Model by Yining Yang

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The Problems of Oral Production of Speech Sounds in the Teaching and Learning of English Grammar by IDEGU A. SOLOMON

“…The implications of correct pronunciation in the teaching and learning of English grammar is therefore, very important for fruitful grammatical studies. …”
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Fund Performance Evaluation Based on Bayesian Model and Machine Learning Algorithm by Shuanbao Li, Shenming Qu

“…Based on Bayesian method, this paper constructs a model for estimating fund performance evaluation, and uses machine learning algorithm to construct a sampler that can sample on the basis of conditional distribution. …”
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EduVR Collab: A tool for management immersive collaborative learning by Robson Santiago Viol, Paula Cintra Fernandes, Iago Izidório Lacerda, Koda Gabriel Faria Melo, Arilton Junior de A. Nunes, André Schneider G. M. Pimenta, Cláudia Martins Carneiro, Mateus Coelho Silva, Saul Delabrida

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Developing Sports Physiotherapy Expertise – The Value of Informal Learning by Colin Paterson, Nicola Phillips

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The power of authority and the Montessori teachers’ (in)ability to learn – research intervention report by Jarosław Jendza

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Research on the Rate of Penetration Prediction Method Based on Stacking Ensemble Learning by Yangfeng Ren, Baoping Lu, Shuangjin Zheng, Kai Bai, Lin Cheng, Hao Yan, Gan Wang

“…In order to accurately predict the ROP of an oilfield in Xinjiang working area, a ROP prediction model based on the historical drilling data of this working area was established based on stacking ensemble learning. This model integrates the K-nearest neighbor algorithm and support vector machine algorithm by stacking ensemble strategy and uses genetic algorithm to optimize model parameters, forming a new method of ROP prediction suitable for this oilfield. …”
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English literacy learning loss during the COVID-19 pandemic in Indonesia by Gin Gin Gustine, Sri Setyarini, Rojab Siti Rodliyah

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Comparison of algorithms using deep reinforcement learning for optimization of hyperbolic metamaterials by Kenta Hamada, Hui-Hsin Hsiao, Wakana Kubo

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Learning, Portfolio Complexity and Informational Asymmetry in Forecasts of Sell-Side Analysts by Melquiades Pereira de Lima Júnior

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Research and Application of 3D Clothing Design Based on Deep Learning by Chunnan Cao

“…In order to fully explore the multi-scale features of 3D clothing design, at the same time, so as to realize the extraction of the clothing itself and the overall characteristics of the clothing, a research and application of 3D clothing design based on deep learning is proposed. Deep learning neural network model is applied to recognize 3D human shape features, the characteristic line is obtained by the threshold judgment, feature points are obtained based on the identified feature lines, the body circumference curve is fitted, and the measurement of human body size is realized. …”
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