Unveiling students’ learning strategies and barriers to extensive reading: a case study in an Indonesian university by Luthfaturrohmah

“…The present study aims to investigate students’ learning strategies and barriers encountered in extensive reading activities. …”
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Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19 by Guokang Zhu, Jia Li, Zi Meng, Yi Yu, Yanan Li, Xiao Tang, Yuling Dong, Guangxin Sun, Rui Zhou, Hui Wang, Kongqiao Wang, Wang Huang

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SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

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Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms by Xiangning Chen, Yimei Lu, Joan Manuel Cue, Mira V. Han, Vishwajit L. Nimgaonkar, Daniel R. Weinberger, Shizhong Han, Zhongming Zhao, Jingchun Chen

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A Comparative Review: Biological Safety and Sustainability of Metal Nanomaterials Without and with Machine Learning Assistance by Na Xiao, Yonghui Li, Peiyan Sun, Peihua Zhu, Hongyan Wang, Yin Wu, Mingyu Bai, Ansheng Li, Wuyi Ming

“…Using a dual-perspective analysis approach, it highlights the unique advantages of machine learning in data processing, predictive modeling, and optimization. …”
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Enhancing Channel Selection in 5G with Decentralized Federated Multi-Agent Deep Reinforcement Learning by Taghi Shahgholi, Keyhan Khamforoosh, Amir Sheikhahmadi, Sadoon Azizi

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Freeway Traffic Speed Prediction under the Intelligent Driving Environment: A Deep Learning Approach by Chengying Hua, Wei (David) Fan

“…The results indicate that both supervised learning and unsupervised learning are superior to the simulation-based model on the freeway, and the two deep learning networks are almost identical to one another. …”
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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

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Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China by Bingwei Wang, Qigen Lin, Tong Jiang, Huaxiang Yin, Jian Zhou, Jinhao Sun, Dongfang Wang, Ran Dai

Subjects: “…Evaluation of machine learning models…”
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Retracted: Research on Intelligent Function Design of Vocational Education System under Mobile Learning Mode by Journal of Mathematics

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Advancing buffet onset prediction: a deep learning approach with enhanced interpretability for aerodynamic engineering by Jing Wang, Wei Liu, Hairun Xie, Miao Zhang

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4-H Wildlife Habitat Evaluation Program (WHEP): Learn about wildlife ecology and management by Sarah Webb Miller, Mark E. Hostetler

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Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. …”
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Reflective Hyperconnectivity of Social Networks Virtual Space as a Factor in the Design of Distant Learning Environment by K. A. Melezhik, A. D. Petrenko, D. M. Khrabskova

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Adaptive period decomposition network with muti-scale temporal variation learning for water level prediction by Hui Wang, LiPing Wang, QiCang Qiu, Yuyan Gao, WenJuan Li, QiuShun Wang

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Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms by Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu

“…This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). …”
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Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models by Martin Brablc, Jan Žegklitz, Robert Grepl, Robert Babuška

“…Reinforcement learning (RL) agents can learn to control a nonlinear system without using a model of the system. …”
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Impact of E-Learning, Perception and Attitude among Students and Faculty following the COVID-19 Pandemic by Syed Hamza Zia, Ghina Rizwan, Afifa Ehsan, Zarnab Rizwan, Rabia Masood, Naila Umer

Subjects: “…Coronavirus, Education, E-Learning, Pakistan, Teaching, Undergraduate medical education, Virtual learning experience.…”
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Corrigendum to “Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network” by Vu Viet Thang, F. F. Pashchenko

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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Our approach demonstrates substantial improvements in classification results compared to traditional deep learning methods.…”
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