Heuristic Binary Search for Modulated Predictive Control by Rafael FIgueiredo, Igor Oliani, Angelo Lunardi, Alfeu J. Sguarezi Filho

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Rapid Damage Assessment and Bayesian-Based Debris Prediction for Building Clusters Against Earthquakes by Xiaowei Zheng, Yaozu Hou, Jie Cheng, Shuai Xu, Wenming Wang

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Comparative Analysis of Supervised Machine Learning Algorithms for COVID-19 Prediction by Rubina Shaheen, Beenish Akram, Amna Zafar, Talha Waheed

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Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

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Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region by Junyu Chen, Yan Zhu, Shengnan Wu, Chuanming Yang, Huimin Wang

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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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Improvement of Statistical Models by Considering Correlations among Parameters: Local Anesthetic Agent Simulator for Pharmacological Education by Toshiaki Ara, Hiroyuki Kitamura

“…Previously, we developed a statistical model to simulate the LAs’ effects, and we estimated their parameters (mean [<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>μ</mi></semantics></math></inline-formula>] and logarithm of standard deviation [<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo form="prefix">log</mo><mi>σ</mi></mrow></semantics></math></inline-formula>]) based on the results of animal experiments. …”
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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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Efficient data-driven predictive control of nonlinear systems: A review and perspectives by Xiaojie Li, Mingxue Yan, Xuewen Zhang, Minghao Han, Adrian Wing-Keung Law, Xunyuan Yin

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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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Numerical Simulation,Prediction and Analysis of Pollutants Transport Based on VM-MT3D by WANG Chengwen

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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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Computing education using generative artificial intelligence tools: A systematic literature review by Friday Joseph Agbo, Chris Olivia, Godsalvation Oguibe, Ismaila Temitayo Sanusi, Godwin Sani

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