The Influence of Power Relations on Teenagers’ Learning Process in an EFL Class by Yolima Forero-Rocha, Luis Fernando Gómez-Rodríguez

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(EFL) Learners’ Perspectives on Vocabulary Learning through Reading and Listening by Sara Jamal Mohammed Faraj

“…It was also found that there is no significant difference between both genders and age groups in vocabulary learning.…”
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Psychometrics of an Elo-based large-scale online learning system by Hanke Vermeiren, Joost Kruis, Maria Bolsinova, Han L.J. van der Maas, Abe D. Hofman

“…This method proves to be highly advantageous in online learning environments. Computerized adaptive practice (CAP) endeavors to present learners with items that are well-suited to their individual ability levels, with the ultimate goal of enhancing motivation and optimizing learning outcomes. …”
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Balanced coarse-to-fine federated learning for noisy heterogeneous clients by Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang

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Meta Learning Strategies for Comparative and Efficient Adaptation to Financial Datasets by Kubra Noor, Ubaida Fatima

Subjects: “…Meta-learning techniques…”
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Learning models innovation in industrial revolution 4.0 era by Metsa Fajrianti Kusumah Suwandi, Muhammad Alfat

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Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

“…We tested three machine learning (ML) models based on random forest (RF) models, generalised additive models (GAMs), and linear regression models (LMs). …”
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THEOLOGY AS A WAY OF LIFE. ON TEACHING AND LEARNING THE CHRISTIAN FAITH by M. Laubscher

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Analysis of The Role of Deep Learning Models in Image Classification Applications by Li Xiang

“…The integration of deep learning models, particularly Convolutional Neural Networks (CNNs) and Support Vector Machines (SVMs), has revolutionized this process, enabling the development of automated, fast, and practical systems. …”
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USE OF GEOINFORMATION TECHNOLOGIES IN DISTANCE LEARNING OF FUTURE SPECIALISTS IN GEOGRAPHY by Vasyl V. Leta, Mykola M. Karabiniuk, Mykhailo M. Mykyta, Mykhailo M. Kachailo

Subjects: “…distance learning…”
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Exploring the Landscape of Programming Language Identification With Machine Learning Approaches by Amandeep Verma, Rahul Saha, Gulshan Kumar, Alessandro Brighente, Mauro Conti, Tai-Hoon Kim

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Learning to Live Through Loss: Understanding Men Who Grieve by Carolyn S. Wilken

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Bio-primed machine learning to enhance discovery of relevant biomarkers by David M. Henke, Alexander Renwick, Joseph R. Zoeller, Jitendra K. Meena, Nicholas J. Neill, Elizabeth A. Bowling, Kristen L. Meerbrey, Thomas F. Westbrook, Lukas M. Simon

“…Here, we introduce a novel machine learning approach extending the Least Absolute Shrinkage and Selection Operator (LASSO) regression framework to incorporate biological knowledge, such as protein-protein interaction databases, into the regularization process. …”
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Nonlinear Waveform Sensing for Cognitive Radar Based on Reinforcement Learning by Peikun Zhu, Xu Si, Jiachen Han, Jing Liang

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Harnessing Meta-Reinforcement Learning for Enhanced Tracking in Geofencing Systems by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…Moreover, the meta-training approach enables the learned policy to quickly adapt to diverse new environments. …”
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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

“…This study evaluates the capabilities of various machine learning models, including artificial neural network (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) in analyzing earthquake-induced slope displacement. …”
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The Learning Curve of Total Laparoscopic Hysterectomy in a Rural Hospital by İsmail Biyik, Mustafa Albayrak, Fatih Keskin, Ayse Nur Usturali Mut

“…Groups were compared for variables that impact the learning curve (operation time, complications and conversion to laparotomy) RESULTS: Of the 57 women eligible for evaluation 30 had total laparoscopic hysterectomy in Group 1 and 27 had total laparoscopic hysterectomy in Group 2. …”
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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

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Creation and interpretation of machine learning models for aqueous solubility prediction by Minyi Su, Enric Herrero

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