Logical Synchrony Networks: A Formal Model for Deterministic Distribution by Logan Kenwright, Partha Roop, Nathan Allen, Sanjay Lall, Calin Cascaval, Tammo Spalink, Martin Izzard

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Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining by Yuxin You, Zhen Liu, Xiangchao Wen, Yongtao Zhang, Wei Ai

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Transferability of Model-Based Static Coefficient of Friction by Jonathan Schanner, Friedemann Reiß, Erhard Leidich, Alexander Hasse

“…As a result, engineers frequently need to perform experimental COF measurements to ensure the reliable transferability of model-based COFs to real-world components. …”
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Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient <i>R</i>² on Unseen Data by Anthony Torres-Hernandez, Rafael Ramirez-Melendez, Fernando Brambila-Paz

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Designing a large language model for chemists by Xiaoyi Chen, Haixu Tang

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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

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T-model Higgs inflation and metastable cosmic strings by C. Pallis

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The Comparison of Distributed P2P Trust Models Based on Quantitative Parameters in the File Downloading Scenarios by Jingpei Wang, Jie Liu

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Construction of Empirical Models of Complex Oscillation Processes with Non-Multiple Frequencies Based on the Principles of Genetic Algorithms by Mykhailo Horbiychuk, Olha Bila, Nataliia Lazoriv

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Comparing Advanced Constitutive Models in Stability Analysis of Slopes on Liquefiable Layers under Seismic Loading Conditions by M. R. Motahari, F. Sadat Alhosseini

“…One of the most challenging issues in the field of geotechnical engineering is liquefaction that causes great damage to the earth slopes during earthquakes. …”
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Data-Driven Selection of Decontamination Robot Locomotion Based on Terrain Compatibility Scoring Models by Prithvi Krishna Chittoor, A. Jayasurya, Sriniketh Konduri, Eduardo Sanchez Cruz, S. M. Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, Mohan Rajesh Elara

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Out-of-Distribution in Image Semantic Communication: A Solution With Multimodal Large Language Models by Feifan Zhang, Yuyang Du, Kexin Chen, Yulin Shao, Soung Chang Liew

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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

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Flow simulation based on MISO and LSTM models in the Yangtze River-Dongting Lake System by Chenglong Li, Shenglian Guo, Zhen Cui, Xin Xiang

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Autocorrelation Matrix Knowledge Distillation: A Task-Specific Distillation Method for BERT Models by Kai Zhang, Jinqiu Li, Bingqian Wang, Haoran Meng

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A review of mixed-integer linear formulations for framework-based energy system models by Maximilian Hoffmann, Bruno U. Schyska, Julian Bartels, Tristan Pelser, Johannes Behrens, Manuel Wetzel, Hans Christian Gils, Chuen-Fung Tang, Marius Tillmanns, Jan Stock, André Xhonneux, Leander Kotzur, Aaron Praktiknjo, Thomas Vogt, Patrick Jochem, Jochen Linßen, Jann M. Weinand, Detlef Stolten

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Optimal Markowitz portfolio using returns forecasted with time series and machine learning models by Damian Ślusarczyk, Robert Ślepaczuk

“…The results showed that by using forecasted returns, we can enhance our portfolio selection based on the Markowitz framework, but it is not a universal solution, and we have to control all the parameters and hyperparameters of selected models. This research paper contributes to the field of Financial Engineering by applying ARIMA-GARCH bootstrapping forecasts and XGBoost forecasts in portfolio optimization and testing a wide range of hyperparameters. …”
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Multi-view fusion of diffusion MRI microstructural models: a preterm birth study by Rosella Trò, Monica Roascio, Domenico Tortora, Mariasavina Severino, Andrea Rossi, Andrea Rossi, Eleftherios Garyfallidis, Gabriele Arnulfo, Gabriele Arnulfo, Marco Massimo Fato, Shreyas Fadnavis

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Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models by Shuo Li, Mehrdad Yaghoobi

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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

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