Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers by Jaydev Zaveri, Shankar Raman Dhanushkodi, Michael W. Fowler, Brant A. Peppley, Dawid Taler, Tomasz Sobota, Jan Taler

“…The electrocatalyst layers (ECLs) in polymer electrolyte membrane (PEM) electrolyzers are fundamentally comprised of IrOx catalysts, support material, and an ionomer. Their stability is critically dependent on structure and composition, necessitating a thorough understanding of ionization potential and work function. …”
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Novel delayed binary time-series pattern based machine learning techniques for stock market forecasting by Zeqiye Zhan, Song-Kyoo Kim

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Aerodynamic Drag Coefficient Prediction of a Spike Blunt Body Based on K-Nearest Neighbors by Jonathan Arturo Sánchez Muñoz, Christian Lagarza-Cortés, Jorge Ramírez-Cruz

“…Spike blunt bodies are a method to reduce drag when a body moves at speeds above sound. Several numerical works based on computational fluid dynamics (CFD) have deeply studied fluid performance and highlighted its advantages. …”
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Sensitivity of patient-specific physiological and pathological aortic hemodynamics to the choice of outlet boundary condition in numerical models by Tianai Wang, Christine Quast, Florian Bönner, Tobias Zeus, Malte Kelm, Teresa Lemainque, Ulrich Steinseifer, Michael Neidlin

“…Material and methods: Image-based computational models of subject-specific aortic geometries were created. …”
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Characterizing the Real-Time Communication Performance of Virtual PLC in Industrial Edge Platform by Massimiliano Gaffurini, Dennis Brandao, Stefano Rinaldi, Alessandra Flammini, Emiliano Sisinni, Paolo Ferrari

“…Unlike traditional hardware-based PLCs, vPLCs operate within edge computing environments, leveraging lightweight virtualization to provide flexibility and support modern microservices architectures. …”
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Random Forest-Based Machine Learning Model Design for 21,700/5 Ah Lithium Cell Health Prediction Using Experimental Data by Sid-Ali Amamra

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An artificial intelligence model integrating culprit lesion diagnosis and risk assessment for acute coronary syndromeResearch in context by Peng Peng Xu, Bin Hu, Fan Zhou, Zhi Han Xu, Qian Chen, Tong Yuan Liu, Bang Jun Guo, Chang Sheng Zhou, Xin Wei Tao, Hong Yan Qiao, Jia Ni Zou, Xiang Ming Fang, Wen Cai Huang, Long Jiang Zhang

“…Interpretation: The ACS culprit lesion model developed using RF algorithms demonstrated superior diagnostic performance and was effective for short-term (2-year) ACS risk stratification. Funding: This work was supported by the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0521700), and the National Natural Science Foundation of China (No. 82441019 for L.J. …”
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An Extended Analysis of the Correlation Extraction Algorithm in the Context of Linear Cryptanalysis by Christoph Graebnitz, Valentin Pickel, Holger Eble, Frank Morgner, Hannes Hattenbach, Marian Margraf

“…We aim to investigate its potential in finding a linear approximation with prescribed statistical characteristics. To support our theoretical work, we also present the results of a small empirical study based on a computer simulation. …”
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Optimizing anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy by Mohemmed Yousuf Rahamathulla, Mangayarkarasi Ramaiah

“…This work presents an Enhanced Firefly Algorithm (EFA) for optimizing the hyperparameters of ML models to enable effective and accurate threat detection in resource-constrained IIoT contexts, so addressing these challenges. …”
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Thermal stability and microstructure of fluorine-free hydrophobic coatings of gas diffusion layers for fuel cell applications by Florian Tritscher, Alexander Pranter, Fabio Blaschke, Werner Napetschnig, Maximilian Fuchs, Eduardo Machado-Charry, Viktor Hacker, Merit Bodner

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Analysis of argument structure constructions in a deep recurrent language model by Pegah Ramezani, Pegah Ramezani, Achim Schilling, Achim Schilling, Patrick Krauss, Patrick Krauss

“…In future work, we plan to compare these model-derived representations with neuroimaging data from continuous speech perception, further bridging computational and biological perspectives on language processing.…”
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Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum by J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate

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A Novel Deep Learning-Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power Grid by Camille Franklin Mbey, Felix Ghislain Yem Souhe, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum

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Leave as Fast as You Can: Using Generative AI to Automate and Accelerate Hospital Discharge Reports by Alex Trejo Omeñaca, Esteve Llargués Rocabruna, Jonny Sloan, Michelle Catta-Preta, Jan Ferrer i Picó, Julio Cesar Alfaro Alvarez, Toni Alonso Solis, Eloy Lloveras Gil, Xavier Serrano Vinaixa, Daniela Velasquez Villegas, Ramon Romeu Garcia, Carles Rubies Feijoo, Josep Maria Monguet i Fierro, Beatriu Bayes Genis

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Speech emotion recognition using long-term average spectrum by Huerta-Hernández Luis David, Meléndez-Acosta Nayeli Joaquinita, Troncoso-Romero David Ernesto, Ramírez-Pacheco Julio César, León-Borges Jose Antonio

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A Novel Algorithm for Feature Level Fusion Using SVM Classifier for Multibiometrics-Based Person Identification by Ujwalla Gawande, Mukesh Zaveri, Avichal Kapur

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

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A Literature Review on Schema Evolution in Databases by Zouhaier Brahmia, Fabio Grandi, Barbara Oliboni

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Research on somatic interactive exhibition design of lacquer artwork based on multi-source data analysis by Ke Ni

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A Voice-Based Personal Assistant for Mental Health in Kreol Morisien by B. Gobin-Rahimbux, N. Gooda Sahib, N. Peerthy, A. Taylor

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