Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasks by Lucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, Pascal Riedel, Alexander Hafner, Marc Geserick

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Distance learning methodology and technique in scientific and vocational communication (on the example of the master’s distance course in linguistics) by S. S. Khromov, T. P. Skorikova, N. V. Dneprovskaya

“…As a result of the experiment we can state that 1) the methodology and technique of distance tools in projecting master’s course in linguistics are described 2) the algorithm of building distance course in linguistiс master’s program is developed 3) the methodology of constructing a new model of online Russian universities is outlined.…”
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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…In the context of the Santos project, dedicated to comprehending the spatio-temporal dynamics of benthic, pelagic, and physical systems for the facilitation of conservation and monitoring programs, the application of machine learning's random forest (RF) technique for modeling univariate data offers notable advantages. …”
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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…In the context of the Santos project, dedicated to comprehending the spatio-temporal dynamics of benthic, pelagic, and physical systems for the facilitation of conservation and monitoring programs, the application of machine learning's random forest (RF) technique for modeling univariate data offers notable advantages. …”
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Federated Learning for Real-Time Demand Response by Data Centers Toward Energy Efficiency and Privacy Preservation by Mohannad Alhazmi, Alexis Pengfei Zhao, Wanzi Li, Chenlu Yang

“…Our novel method utilizes real-time data to generate effective and efficient actions in response to operational demands, in compliance with energy conservation and stringent privacy standards. We evaluate various demand response programs by the proposed method in different scenarios and case studies to demonstrate their efficacy in adapting to energy consumption patterns for optimal energy usage and cost reduction. …”
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Jesús A. Bonilla De Gracia by Jesús A. Bonilla De Gracia, Jorge Alarcón- Novoa, Erick Gallegos-Romero, Jorge Villegas-Rugel

“…The literature review indicates that Education on NCR has been used in three areas of research to explain or address a particular construct: (1) promotion of formal and informal programs for use of the intangible environmental services, (2) development of an ICEE that promotes biotrade of intangible services from the Romerillos forests, and (3) short- and long-term conservation of the Romerillos forests. …”
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pyAutonomousAgent: An Academic Tool for Modeling Autonomous Agent Behaviors Using Behavior Trees by Felipe Leonardo Lôbo Medeiros

“…However, teaching the construction of behavior trees for autonomous agents can be a very complex task, especially if students have little knowledge of computer programming. …”
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How experiential service‐learning affects student perceptions of education in their careers and as a wildlife management activity by Kathryn T. Stevenson, M. Nils Peterson

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Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms by Carlos Roberto López Paredes, Cesar García, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Maria Gabriela Zuniga Rodriguez, Tammineni Gnananandarao, Alexis Ivan Andrade Valle, Nancy Velasco, Greys Carolina Herrera Morales

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Coastal Areas as Learning Resources to Enhance Regional Potential Understanding: A Study in Pesisir Selatan District by Muhammad Arif, Enok Maryani, Mamat Ruhimat, Dede Sugandi

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Development and Validation of the Pre-service Teacher Competency Scale in an Online Learning Environment Using the Scenario Method by Jiwon Baek, Jiwoo Kim, Hyeonseong Lee, Youn-Jeng Choi

“…The scale was then validated through confirmatory analyses and reliability analyses with 579 pre-service teachers, demonstrating good construct validity and reliability. This study contributes to teacher education by providing a validated tool that can help evaluate and enhance pre-service teacher preparation programs for online and hybrid learning environments.…”
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“I don't want to learn translation”: Exploring the systemic roots of burnout among translation master's students by Xiaobin Ren, Wenwen Zheng

“…By constructing this theoretical model, the study extends existing perspectives on learning burnout and provides valuable insights for educators and program administrators to better understand its underlying causes and optimize training strategies for translation master's students.…”
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Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI by Hamid Hatami Maleki, Reza Darvishzadeh, Nasrin Azad

“…Genomic best linear unbiased prediction through 65 amplified ISSR loci showed positive and high value of additive gene effect as breeding value for traits identified in the deep learning models. Among studied germplasm, G12, G13, G14, and G25 with positive and high value of breeding value especially for traits constructed the CNN models, recognized as superior genotypes. …”
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Machine Learning Model Reveals Land Use and Climate’s Role in Caatinga Wildfires: Present and Future Scenarios by Rodrigo N. Vasconcelos, Mariana M. M. de Santana, Diego P. Costa, Soltan G. Duverger, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro, Washington J. S. Franca Rocha

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Integrating Genetic Algorithm and Geographically Weighted Approaches into Machine Learning Improves Soil pH Prediction in China by Wantao Zhang, Jingyi Ji, Binbin Li, Xiao Deng, Mingxiang Xu

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Developing Performance Assessment Instruments to Measure 4C Skills in Online Discussion Activities of Science Learning by Yuyun Maryuningsih, Topik Hidayat, Riandi Riandi, Nuryani Rustaman

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The development and validation of a multi-dimensional medical students’ learning self-efficacy questionnaire for clinical education by Chia-Ter Chao, Jyh-Chong Liang

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Building pre-service teachers’ resilience through Service-Learning: an explanatory sequential mixed methods study by Marta Sánchez-Jiménez, Marta Sánchez-Jiménez, María Maravé-Vivas, Jesús Gil-Gómez, Celina Salvador-Garcia

“…To this end, the Resilience Questionnaire for Adults (RQA) was administered before and after a Service-Learning program. The reflection diaries written by the participants (n = 54) were analyzed too. …”
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Intra-day dispatch method via deep reinforcement learning based on pre-training and expert knowledge by Yanbo Chen, Qintao Du, Huayu Dong, Tao Huang, Jiahao Ma, Zitao Xu, Zhihao Wang

“…In recent years, due to high self-learning and self-optimization ability, reinforcement learning has emerged in the field of economic dispatch, which can solve model-free dynamic programming problems that cannot be effectively solved by traditional optimization methods. …”
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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

“…Ferroptosis, a novel form of programmed cell death, may play a key role in CS and AS. …”
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