Prospects for University’s Open Educational Resources by Тю V. Dneprovskaya, I. V. Shevtsova

Subjects: “…e-learning…”
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Social observation differentially affects prosocial learning of selfish and prosocial people by Yuri Kim, Kun Il Kim, Hackjin Kim

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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

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Automated diagnosis and grading of lumbar intervertebral disc degeneration based on a modified YOLO framework by Aobo Wang, Tianyi Wang, Xingyu Liu, Xingyu Liu, Xingyu Liu, Ning Fan, Shuo Yuan, Peng Du, Congying Zou, Ruiyuan Chen, Yu Xi, Zhao Gu, Hongxing Song, Qi Fei, Yiling Zhang, Yiling Zhang, Lei Zang

Subjects: “…deep learning…”
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Improving Crack Detection Precision of Concrete Structures Using U-Net Architecture and Novel DBCE Loss Function by Andrew Prasetyo, I Ketut Eddy Purnama, Eko Mulyanto Yuniarno, Priyo Suprobo

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A Machine Learning Approach to Adapt Local Land Use Planning to Climate Change by Julia Forster, Stefan Bindreiter, Birthe Uhlhorn, Verena Radinger-Peer, Alexandra Jiricka-Pürrer

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Machine learning cluster analysis identifies increased 12-month mortality risk in transcatheter aortic valve replacement recipients by Thomas Meredith, Thomas Meredith, Thomas Meredith, Farhan Mohammed, Amy Pomeroy, Sebastiano Barbieri, Sebastiano Barbieri, Erik Meijering, Louisa Jorm, David Roy, Jason Kovacic, Jason Kovacic, Jason Kovacic, Jason Kovacic, Michael Feneley, Michael Feneley, Michael Feneley, Christopher Hayward, Christopher Hayward, Christopher Hayward, David Muller, David Muller, David Muller, Mayooran Namasivayam, Mayooran Namasivayam, Mayooran Namasivayam

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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

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Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

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Harnessing the Influence of Pressure and Nutrients on Biological CO₂ Methanation Using Response Surface Methodology and Artificial Neural Network—Genetic Algorithm Appro... by Alexandros Chatzis, Konstantinos N. Kontogiannopoulos, Nikolaos Dimitrakakis, Anastasios Zouboulis, Panagiotis G. Kougias

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Development and validation of the Quran – Science, Technology, Engineering, Art, And Mathematics (Q-STEAM) module by Muzakkir, Rose Amnah Abd Rauf, Hutkemri Zulnaidi

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Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC by Gustavo A. Mesías-Ruiz, José M. Peña, Ana I. de Castro, José Dorado

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Accelerating Deep Neural Networks implementation: A survey by Meriam Dhouibi, Ahmed Karim Ben Salem, Afef Saidi, Slim Ben Saoud

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Transforming CCTV cameras into NO2 sensors at city scale for adaptive policymaking by Mohamed R. Ibrahim, Terry Lyons

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DIDACTIC SCAFFOLDING LEADERSHIP PEDAGOGY: by G.E. Dames

Subjects: “…Didactic scaffolding; Pedagogy of leadership; Participation learning; Reciprocal dialogue…”
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Deep learning modeling of manufacturing and build variations on multistage axial compressors aerodynamics by Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

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Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms by Huazhu Xue, Chaoqiang Guo, Guotao Dong, Chenchen Zhang, Yaokang Lian, Qian Yuan

Subjects: “…Physics-guided deep learning…”
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Data-driven prediction of critical diameter for deterministic lateral displacement devices: an integrated DPD-ML approach by Shuai Liu, Peng Zhang, Anbin Wang, Keke Tang, Shuo Chen, Chensen Lin

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Psychological Safety and Communication Difficulties of Teachers and Students During Long-term Online Training by P. A. Kislyakov, E. A. Shmeleva, I.-L. S. Meerson

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Deep learning for enhanced risk management: a novel approach to analyzing financial reports by Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang

Subjects: “…Deep learning…”
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