The Impact of Blended Learning an Educational Innovation as on Student Character Building in Islamic Religious Education by Salim Salim, Mohamad Aji Prasetia, Muhammad Bagas F., Fatkhur Rohman, Abdurrahman Abdurrahman

“…One aspect of innovation in education is the implementation of a mixed learning system, also known as hybrid learning, is one aspect of education innovation. …”
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Implementation of project based learning containing esd to improve students' creative thinking skills by Adetia Yeyen Purnamasari, Nuryani Rustaman, Widi Purwianingsih, Weni Lestari

“…21st century learning demands critical thinking, creativity, collaboration and communication competencies. …”
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Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells by Esraa Hamouda, Abeer El-Korany, Soha Makady

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An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Anwer Mustafa Hilal, Maha M. Althobaiti, Taiseer Abdalla Elfadil Eisa, Rana Alabdan, Manar Ahmed Hamza, Abdelwahed Motwakel, Mesfer Al Duhayyim, Noha Negm

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Available Bandwidth Estimation in Network-Aware Applications for Wireless Campus e-Learning System by Mohd Faisal Ibrahim, Masita Jamal, Saadiah Yahya, Mohd Nasir Taib

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The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems by Kyrylo Romanenko, Yevgen Oberemok, Ivan Syniavskyi, Natalia Bezugla, Pawel Komada, Mykhailo Bezuglyi

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Retraction: Post COVID green intellectual capital management with the mediation of organizational learning capability by Frontiers Editorial Office

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Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study by Zainab Abdulelah Al Sudani, Golam Saleh Ahmed Salem

“…In this study, four machine learning (ML) modeling approaches, extreme learning machine (ELM), gradient boosting machine (GBM), quantile random forest (QRF), and Gaussian process regression (GPR), have been developed to estimate the monthly evaporation loss over two stations located in Iraq. …”
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Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. by Nouman Butt, Muhammad Munwar Iqbal, Shabana Ramzan, Ali Raza, Laith Abualigah, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…To address these issues, this research examines the implementation of an automated disease classification system using deep learning and optimal feature selection. The system incorporates data augmentation and transfer learning with pre-trained models such as DenseNet-201 and AlexNet to improve diagnostic accuracy, efficiency, and cost-effectiveness. …”
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A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise by Xin Huang, Ting Hu, Pei Pei, Qin Li, Xin Zhang

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Hierarchical Transfer Learning with Transformers to Improve Semantic Segmentation in Remote Sensing Land Use by Miaomiao Chen, Lianfa Li

Subjects: “…hierarchical transfer learning…”
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Enhancing unsupervised learning in medical image registration through scale-aware context aggregation by Yuchen Liu, Ling Wang, Xiaolin Ning, Yang Gao, Defeng Wang

“…We introduce ScaMorph, an unsupervised learning model for DIR that employs scale-aware context aggregation, integrating multiscale mixed convolution with lightweight multiscale context fusion. …”
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Implementation of the development of health protocol guidelines for face-to-face learning in the new adaptation period by Tita Kartika Dewi, Tritania Ambarwati

“…The instrument uses questionnaires and the development of health protocol guidebooks for face-to-face learning for new adaptation periods in schools. Data analysis using wilxocon test. …”
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Forecasting Stock Prices of Companies Producing Solar Panels Using Machine Learning Methods by Zaffar A. Shaikh, Andrey Kraikin, Alexey Mikhaylov, Gabor Pinter

“…The recurrent neural network LSTM is used in the article and this approach is based on complexity theory. Machine learning technologies are now being actively implemented in various sectors of the economy and are considered effective. …”
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Retracted: Modeling Social Network of Professional Sports Athletes Based on Machine Learning Algorithms by International Transactions on Electrical Energy Systems

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Correction: Enhanced wave overtopping simulation at vertical breakwaters using machine learning algorithms. by PLOS One Staff

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Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security by Jing Luo, Dai Zhou, Wenjun Ma, Guohua Zhao

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The attitudes of teachers and students towards ‘one-to-five’ students’ network: Implications for students’ learning by Nigusse Weldemariam Reda, Tsegay Girmany Hagos

Subjects: “…Students' network, attitude, cooperative learning, students' learning…”
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Decoding cortical folding patterns in marmosets using machine learning and large language model by Yue Wu, Xuesong Gao, Zhengliang Liu, Pengcheng Wang, Zihao Wu, Yiwei Li, Tuo Zhang, Tianming Liu, Tao Liu, Xiao Li

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Prediction of Compressive Strength of Concrete and Rock Using an Elementary Instance-Based Learning Algorithm by Shun-Chieh Hsieh

“…The use of machine learning techniques to predict material strength is becoming popular. …”
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