Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

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Personal Development Planning of the UK Students: Implementation Models by N. Yu. Shaposhnikova

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Protein structure prediction via deep learning: an in-depth review by Yajie Meng, Zhuang Zhang, Chang Zhou, Xianfang Tang, Xinrong Hu, Geng Tian, Jialiang Yang, Yuhua Yao, Yuhua Yao, Yuhua Yao

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AdaptedNorm: An Adaptive Modeling Strategy for Graph Convolutional Network-Based Deep Learning Tasks by Chuan Dai, Yajuan Wei, Hao Wang, Ying Liu, Zhijie Xu

“…This study proposes AdaptedNorm, a principled framework that establishes connections between normalization schemes and GCN task objectives, while introducing three key contributions: 1) A novel random walk re-normalized transformation (RWRT) technique for graph representation normalization; 2) A task-aligned modeling paradigm demonstrating that symmetric re-normalized transformation (SRT) enhances node classification accuracy, while RWRT achieves superior performance in link prediction; 3) Integration of normalization schemes with GNN sparsification strategies, enabling effective model compression without sacrificing performance. …”
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A Comparative Study of XBORE and XBOREOPT Hybrid Models for Ore Production Forecasting in the Mining Industry by Morris Mkokweza, Santhi Kumaran, George Mufungulwa

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Investigation into Using CFD for Estimation of Ship Specific Parameters for the SPICE Model for Prediction of Sea Spray Icing: Part 1—The Proposal by Sujay Deshpande, Per-Arne Sundsbø

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Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks by Eduardo Soares, Victor Yukio Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P Sanders

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Personal resources conducive to educational success: high achieving students’ perspectives by Jolise 't Mannetje, Marjolein Heijne-Penninga, Nicole Mastenbroek, Marca Wolfensberger, Debbie Jaarsma

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Experiences with interactive video assessment in higher education to enhance teaching and learning by Joyce West

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Contemporary experience of education digitalization by V. V. Godin, A. E. Terekhova

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Modeling radiologists’ cognitive processes using a digital gaze twin to enhance radiology training by Akash Awasthi, Anh Mai Vu, Ngan Le, Zhigang Deng, Supratik Maulik, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen

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Artificial Intelligence and the Modelling of Teachers’ Competencies by Ramona Simuț, Ciprian Simuț, Daniel Bădulescu, Alina Bădulescu

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DEVELOPMENT OF UNIVERSITY AS A COMPETITIVE EDUCATIONAL ORGANIZATION by Ekaterina E. Shishlova, Anzhelika M. Mirzoeva

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Agent‐based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data by Jukka Sirén, Panu Somervuo, Otso Ovaskainen

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Synergistic Non-Intrusive Load Monitoring: Dual-Model Training and Inference for Improved Load Disaggregation Prediction by Mazen Bouchur, Andreas Reinhardt

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Predictive Model for Estimating Prostate Resection Size in Transurethral Resection of the Prostate for Patients with Benign Prostatic Hyperplasia by Okwudli C. Amu, Solomon K. Anyimba

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Bank Syariah Indonesia Share Price Prediction Using Fuzzy Time Series Model Lee Method by Luqmanul Hakiem Ajuna, Hendra H. Dukalang, Muhammad Ardi

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Deep learning based multi attribute evaluation for holistic student assessment in physical education by Huige Liang, Huifeng Liang

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Integrating Large Language Models into Accessible and Inclusive Education: Access Democratization and Individualized Learning Enhancement Supported by Generative Artificial Intelli... by Inigo Lopez-Gazpio

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Biochemical Oxygen Demand Prediction Based on Three-Dimensional Fluorescence Spectroscopy and Machine Learning by Xu Zhang, Yihao Zhang, Xuanyi Yang, Zhiyun Wang, Xianhua Liu

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