A systematic review of corpus-based instruction in EFL classroom by Dandan Li, Nooreen Noordin, Lilliati Ismail, Dan Cao

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A Data-Intelligence-Driven Digital Twin Framework for Improving Sustainability in Logistics by Ibrahim Abdullahi, Hadi Larijani, Dimitrios Liarokapis, James Paterson, David Jones, Stewart Murray

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FArSS: Fast and Efficient Semantic Question Similarity in Arabic by Mohamed Alkaoud

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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

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Robust and Sparse Kernel-Free Quadratic Surface LSR via L_2,p-Norm With Feature Selection for Multi-Class Image Classification by Yongqi Zhu, Zhixia Yang, Junyou Ye, Yongxing Hu

Subjects: “…Multi-class classification learning…”
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Teachers’ Insights into the Efficacy of the ‘Reading Circle’ Project Using English Language Teaching Graded Readers by Inga Linde, Linda Daniela

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An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios by Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente

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A conceptual framework for the instructional design of a Moodle-based e-learning course for mainstreaming informal master’s education outcomes into ESP teaching in a formal non-linguistic setting by Larisa M. Galchuk

Subjects: “…informal learning…”
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Exploring the application of knowledge transfer to sports video data by Shahrokh Heidari, Gibran Zazueta, Riki Mitchell, David Arturo Soriano Valdez, Mitchell Rogers, Mitchell Rogers, Jiaxuan Wang, Ruigeng Wang, Marcel Noronha, Alfonso Gastelum Strozzi, Mengjie Zhang, Patrice Jean Delmas, Patrice Jean Delmas

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Predicting survival in malignant glioma using artificial intelligence by Wireko Andrew Awuah, Adam Ben-Jaafar, Subham Roy, Princess Afia Nkrumah-Boateng, Joecelyn Kirani Tan, Toufik Abdul-Rahman, Oday Atallah

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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

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Débattre ou apprendre : faut-il choisir ? by Patrice Raynaud Serra

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Hubungan Pola Asuh Orangtua dengan Motivasi Belajar Remaja by Cindy Marisa, Evi Fitriyanti, Sri Utami

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Timing of high-definition transcranial direct current stimulation to the nondominant primary motor cortex fails to modulate cortical hemodynamic activity and improve motor sequence learning by Minxia Jin, Xiaomeng Xu, Ziwei Zhang, Weili Xia, Xiaoyu Lou, Zhongfei Bai

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Improving Freedom of Visually Impaired Individuals with Innovative EfficientNet and Unified Spatial-Channel Attention: A Deep Learning-Based Road Surface Detection System by Amit Chaudhary, Prabhat Verma

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Optimization of a photovoltaic/wind/battery energy-based microgrid in distribution network using machine learning and fuzzy multi-objective improved Kepler optimizer algorithms by Fude Duan, Mahdiyeh Eslami, Mohammad Khajehzadeh, Ali Basem, Dheyaa J. Jasim, Sivaprakasam Palani

“…In this study, a machine learning approach using a multilayer perceptron artificial neural network (MLP-ANN) has been used to forecast solar radiation, wind speed, temperature, and load data. …”
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Effectiveness of Integrating the 5E’s Learning Cycle Strategy and Stepans' Conceptual Change Model in Enhancing Second-Grade Students' Acquisition of Scientific Concepts and Habits of Mind by Tahani Mohammad ALebous

“…The study aimed to investigate the effectiveness of integrating the 5E’s Learning Cycle Strategy and Stepans' Conceptual Change Model to acquire scientific concepts and develop the habits of mind among second-grade students in Jordan. …”
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Evaluation of the Effectiveness of Multiple Machine Learning Methods in Remote Sensing Quantitative Retrieval of Suspended Matter Concentrations: A Case Study of Nansi Lake in North China by Xiuyu Liu, Zhen Zhang, Tao Jiang, Xuehua Li, Yanyi Li

“…The retrieval accuracy of each model shows that the machine learning models are much more accurate than the linear model. …”
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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite by Prashant Anerao, Atul Kulkarni, Yashwant Munde, Namrate Kharate

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