EMI Prediction on Ripple Effect of Voltage-Controlled Ramp Waveform via ARIMA-MLR Hybrid Model by Mohammad Yanuar Hariyawan, Mochamad Nizar Palefi Ma'ady, Helmy Widyantara, Vania Martha Aurellia Lubis

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

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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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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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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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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

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Gaussian Versus Mean-Field Models: Contradictory Predictions for the Casimir Force Under Dirichlet–Neumann Boundary Conditions by Daniel Dantchev, Vassil Vassilev, Joseph Rudnick

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Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm by Yubo Zhao, Mo Chen

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Fatigue life prediction of hoist drum-rail contact pair based on digital twin by Michael A Zhuravkov, Mikhail A Nikolaitchik, Zengcheng Wang, Guangbin Yu

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The global distribution and risk prediction of Anaplasmataceae species: a systematic review and geospatial modelling analysisResearch in context by Xiao-Bin Huang, Tian Tang, Jin-Jin Chen, Yuan-Yuan Zhang, Chen-Long Lv, Qiang Xu, Guo-Lin Wang, Ying Zhu, Yue-Hong Wei, Simon I. Hay, Li-Qun Fang, Wei Liu

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Machine learning models in enhancing prediction of health-related indices among older adults: A scoping review by Raoof Nopour

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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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