Predictors of depression among Chinese college students: a machine learning approach by Lin Luo, Junfeng Yuan, Chenghan Wu, Yanling Wang, Rui Zhu, Huilin Xu, Luqin Zhang, Zhongge Zhang

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Retracted: The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning by Journal of Function Spaces

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Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning by Ji-Hun Ha, Yong-Hyuk Kim, Hyo-Hyuc Im, Na-Young Kim, Sangjin Sim, Yourim Yoon

“…In this paper, we propose a novel error correction of atmospheric pressure data observed with a Mini-AWS based on machine learning. Using the proposed method, we obtained corrected atmospheric pressure data, reaching the standard of the World Meteorological Organization (WMO; ±0.1 hPa), and confirmed the potential of corrected atmospheric pressure data as an auxiliary resource for AWSs.…”
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Explainable analysis of infrared and visible light image fusion based on deep learning by Bo Yuan, Hongyu Sun, YinJing Guo, Qiang Liu, Xinghao Zhan

Subjects: “…Machine learning…”
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Design and Construction of Micro-hydro Model With Different Flowrate as a Learning Medium by Diki Ismail Permana, Dini Fauziah, Decy Nataliana

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Foreign object debris detection in lane images using deep learning methodology by Priyadharsini S., Bhuvaneshwara Raja K., Kousi Krishnan T., Senthil Kumar Jagatheesaperumal, Bader Fahad Alkhamees, Mohammad Mehedi Hassan

“…Methods This work proposes a video-based deep learning methodology to address the high cost of radar-based FOD detection. …”
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A Multianalyzer Machine Learning Model for Marine Heterogeneous Data Schema Mapping by Wang Yan, Le Jiajin, Zhang Yun

“…In order to improve the schema mapping efficiency and get more accurate learning results, this paper proposes a heterogeneous data schema mapping method basing on multianalyzer machine learning model. …”
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EPPTA: Efficient partially observable reinforcement learning agent for penetration testing applications by Zegang Li, Qian Zhang, Guangwen Yang

“…Automating pen‐testing through reinforcement learning (RL) facilitates more frequent assessments, minimizes human effort, and enhances scalability. …”
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Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning by Chunjie Li, Pan Liu, Zhenlong Xie, Zhibin Li, Huan Huan

“…Therefore, this paper proposes a road adhesion coefficient estimation method based on vehicle-road coordination and deep learning. Firstly, a vehicle-based data feedback system combined with a vehicle-road network cloud is introduced, and CarSim simulation is used to expand the data set and train the model effectively. …”
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Machine learning algorithms can predict emotional valence across ungulate vocalizations by Romain A. Lefèvre, Ciara C.R. Sypherd, Élodie F. Briefer

“…The present study used a machine learning algorithm (eXtreme Gradient Boosting [XGBoost]) to distinguish between contact calls indicating positive (pleasant) and negative (unpleasant) emotional valence, produced in various contexts by seven species of ungulates. …”
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Retracted: Digital Art Feature Association Mining Based on the Machine Learning Algorithm by null Complexity

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Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides by Heqian Zhang, Yihan Wang, Yanran Zhu, Pengtao Huang, Qiandi Gao, Xiaojie Li, Zhaoying Chen, Yu Liu, Jiakun Jiang, Yuan Gao, Jiaquan Huang, Zhiwei Qin

Subjects: “…Machine learning…”
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Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model by Sundeep Siddula, G. K. Prashanth, Praful Nandankar, Ram Subbiah, Saikh Mohammad Wabaidur, Essam A. Al-Ammar, M. H. Siddique, Subash Thanappan

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Effects of Metabolic Dysfunction–Associated Steatohepatitis in Alertness, Associative Learning, and Astrocyte Density by Sara G. Higarza, Marina De Antón‐Cosío, Candela Zorzo, Jorge L. Arias, Natalia Arias

“…Results Our results showed that, whereas the MASH group did not display an impaired associative learning, a lower exploration rate was found in this group. …”
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Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm by Van Quan Tran

“…The aim of this paper was to select a highest performance and reliable machine learning (ML) model to predict the permeability coefficient of soil and quantify the feature importance on the predicted value of the soil permeability coefficient with aided machine learning-based SHapley Additive exPlanations (SHAP) and Partial Dependence Plot 1D (PDP 1D). …”
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Nonpenalty Machine Learning Constraint Handling Using PSO-SVM for Structural Optimization by Marco M. Rosso, Raffaele Cucuzza, Fabio Di Trapani, Giuseppe C. Marano

“…In this paper, a new nonpenalty-based constraint handling approach for PSO is implemented, adopting a supervised classification machine learning method, the support vector machine (SVM). …”
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The analysis of students’ reading and writing difficulties in learning english at universitas kristen indonesia by Lamhot Naibaho

“…This study aims to analyse the students' reading and writing difficulties in learning English, and it was conducted at Universitas Kristen Indonesia. …”
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A comprehensive review of large language models: issues and solutions in learning environments by Tariq Shahzad, Tehseen Mazhar, Muhammad Usman Tariq, Wasim Ahmad, Khmaies Ouahada, Habib Hamam

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Implementation of Blended Learning in Southern African Marginalised Higher Education Eclectic Contexts by Patricia Muhuro, Simon Murote Kang’ethe

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PENERAPAN PROJECT BASED LEARNING BERBASIS LINGKUNGAN UNTUK MENINGKATKAN KEAKTIFAN SISWA by Novi Ainun Marma Ubaidah, Martyana Prihaswati, Iswahyudi Joko Suprayitno

Subjects: “…Project Based Learning, Keaktifan…”
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