PENGARUH STRATEGI PROBLEM BASED LEARNING DAN MOTIVASI BERPRESTASI TERHADAP KETERAMPILAN BERPIKIR KRITIS by Supriyanto Supriyanto, Achmad Noor Fatirul, Djoko Adi Walujo

Subjects: “…problem based learning…”
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The effect of educational intervention based on mobile learning on the knowledge and self-efficacy of healthcare providers in vaccination by Leila Shamsi, Mojgan Janighorban, Soheila Mohamadirizi

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Experiential learning in action: Designing an elective module in pediatric ocular evaluation for Indian medical graduates by Vidya Hegde, Rashmi Jain, Anupama Bappal

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Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning by Jinzhe Li

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Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach by Shah Mohammad Azam Rishad, Md Ashraful Islam, Md Shahidul Islam

Subjects: “…Machine learning…”
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Applying the photovoice method with adolescents in mining areas in rural Mozambique: critical reflections and lessons learned by Olga Cambaco, Hermínio Cossa, Andrea Farnham, Eusébio Macete, Mirko S. Winkler, Karin Gross, Khátia Munguambe

“…Several lessons for guiding future research were learned. First, it provided an understanding of the perceived impacts of mining on their health and well-being. …”
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A Review on Optimizing Water Management in Agriculture through Smart Irrigation Systems and Machine Learning by Belarbi Zaid, El Younoussi Yacine

“…Recent advancements in machine learning (ML) offer promising alternatives to enhance the precision and efficiency of ET estimation and smart irrigation systems. …”
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Comparative Analysis of Federated and Centralized Learning Systems in Predicting Cellular Downlink Throughput Using CNN by Kukuh Nugroho, Hendrawan, Iskandar

Subjects: “…Federated learning…”
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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging by Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller-Franzes, Zunamys I. Carrero, Nicholas R. Payne, Lorena Escudero Sánchez, Paul Christophe Varoutas, Sreenath Kyathanahally, Narmin Ghaffari Laleh, Kevin Pfeiffer, Marta Ligero, Jakob Behner, Kamarul A. Abdullah, Georgios Apostolakos, Chrysafoula Kolofousi, Antri Kleanthous, Michail Kalogeropoulos, Cristina Rossi, Sylwia Nowakowska, Alexandra Athanasiou, Raquel Perez-Lopez, Ritse Mann, Wouter Veldhuis, Julia Camps, Volkmar Schulz, Markus Wenzel, Sergey Morozov, Alexander Ciritsis, Christiane Kuhl, Fiona J. Gilbert, Daniel Truhn, Jakob Nikolas Kather

“…Methods In this study, we present an integrated pipeline combining weakly supervised learning—reducing the need for detailed annotations—with local AI model training via swarm learning (SL), which circumvents centralized data sharing. …”
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Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems by Vini Antony Grace N, Ghadah Aldehim, Nuha Alruwais, Prabakar T.N.

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Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…This paper proposes Dual Skin Segmentation (DuaSkinSeg), a deep-learning model, to address this gap by utilizing dual encoders for improved performance. …”
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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…Meanwhile, teachers and parents who have a role in providing support and stimulation to children cannot use these instrument. Machine learning is a technique that uses algorithms to find useful patterns in data. …”
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Crimean-Congo haemorrhagic fever virus screening among African individuals in Spain: Lessons to learn by Helena Miriam Lorenzo Juanes, Amparo López-Bernus, Belen Vicente, Montserrat Alonso-Sardón, Beatriz Rodríguez Alonso, Josue Pendones Ulerio, Pedro Fernandez Soto, Juan Luis Muñoz Bellido, Antonio Muro, Moncef Belhassen-García

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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

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Pengaruh Project Based Learning Terhadap Kemampuan Berpikir Peserta Didik: Studi Meta Analisis by Rahmadini Darwas, Rina Sepriana, Asmar Yulastri, Dedy Irfan, Nizwardi Jalinus

“…Based on these findings which were analyzed holistically, it can be concluded that PjBL can improve students' thinking skills in the learning process. Research Implications – These findings provide empirical evidence that PjBL can be used as an effective teaching strategy to enhance students' thinking skills. …”
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Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

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Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning by Cheng Wang, Cheng Wang, Cheng Wang, Zhou Long, Zhou Long, Xiang-Dong Wang, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian

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Physician associate (PA) students’ perceptions of team-based learning (TBL) for teaching in Geriatric medicine by Basaam Aweid, Natalie Parnis, David Harrison

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Analisis Penerimaan Learning Management System Institut Teknologi Garut Menggunakan Technology Acceptance Model by Asri Mulyani, Dede Kurniadi, Mita Hidayani Putri

“…Dikarenakan Learning Management System (LMS)  di Institut Teknologi Garut baru digunakan, maka penelitian ini bertujuan menganalisis penerimaan Learning Management System Institut Teknologi Garut menggunakan metode Technology Acceptance Model, untuk mengetahui pengukuran pengaruh antar konstruk sekaligus sebagai barometer adaptasi penerimaan pengguna terhadap sistem LMS yang digunakan. …”
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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

“…By combining advanced graph-based and sequence-based learning techniques, DuGEL addresses the limitations of existing methods and provides a robust framework for the prediction of microbe-disease associations. …”
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