Interface design and interaction optimization for spatial computing 3D content creation and immersive environment generation using Apple Vision Pro by Jie Fu, Mick Grierson, Renpeng Jiang, Shun Fu, Mengzhi He, Muhan Xu

“…A mixed-methods evaluation with 20 participants from diverse creative backgrounds demonstrated that spatial computing-based creation paradigms significantly reduce cognitive load in the design process. …”
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E-LEARNING AND THE DEVELOPMENT OF INTERCULTURAL COMPETENCE by Meei-Ling Liaw

“…Despite some technical difficulties with the computers, the collaboration between the two groups of students was successful, as can be seen from the positive and complimentary comments from the participants. …”
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Neural network implementation of model predictive control with stability guarantees by Arthur Khodaverdian, Dhruv Gohil, Panagiotis D. Christofides

“…The goal is to create an approximate control policy that can replace the MPC, offering reduced computational complexity while maintaining stability guarantees. …”
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Mechanisms and Modelling of Effects on the Degradation Processes of a Proton Exchange Membrane (PEM) Fuel Cell: A Comprehensive Review by Krystof Foniok, Lubomira Drozdova, Lukas Prokop, Filip Krupa, Pavel Kedron, Vojtech Blazek

“…The review explicitly compares physics-based, data-driven, and hybrid modelling strategies, discussing trade-offs between accuracy, computational demand, and generalizability. Key findings emphasise that hybrid models effectively balance precision with computational efficiency. …”
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A Novel Approach to the Prediction of Alzheimer’s Disease Progression by Leveraging Neural Processes and a Transformer Encoder Model by Emad Al-Anbari, Hossein Karshenas, Bijan Shoushtarian

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Improved multi-objective decision-making in manufacturing processes through uncertainty quantification and robust pareto front modelling by Arne De Temmerman, Mathias Verbeke

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Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

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Minimal‐cost route planning via Fibonacci‐heap‐typed data structure by Wangjia Zhan, Haohao Qiu, Bo Min, Lin Lin

“…Abstract Efficient route planning in transportation networks, particularly under stochastic conditions like severe weather (i.e. snow or hail), poses a significant computational challenge. This article addresses this challenge by modeling the route planning problem as a Markov decision process (MDP) problem, establishing reachability criteria, and identifying the minimum‐weight arborescence in the directed graph. …”
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Analysis of General Purpose FPGA-based Development Boards Efficiency in DNA Processing Applications by SZÁSZ Csaba

“…Deoxyribonucleic acid (DNA) sequence alignment represents one of the most expensive and computationally intensive tasks in bioinformatics. From hardware point of view the Field Programmable Gate Array (FPGA)-based accelerators looks the most adequate computing platforms to solve such complex applications. …”
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3D discrete fracture network modelling of multiphysical processes in fractured media: recent advances and future prospects by Qinghua Lei

“…This Mini Review provides a focused and up-to-date summary of recent advancements in 3D discrete fracture network (DFN) modelling for simulating coupled thermo-hydro-mechanical-chemical processes in fractured rocks, which are crucial for various geotechnical engineering-related challenges. …”
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Comparative assessment of cutting processes in the mechanical behavior of basalt fiber/poly(lactic acid) matrix composites by Varikkadinmel Binaz, Kaushik Deepak, Inderdeep Singh

“…The present investigation aims to determine the best cutting process to create samples from BFPLA, as well as to experimentally evaluate the effect of different cutting processes (scroll sawing, computer numerical control (CNC) milling, water jet cutting, and abrasive water jet cutting (AWJ)) on the tensile and flexural properties of samples. …”
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The interplay of virtualisation, work design, and business process management: A mixed-methods study by Luke Bartlett, Muhammad Ashad Kabir, Jun Han

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Hydrogeochemical analysis of groundwater quality during the pre- monsoon season of Manipur, India by Rakshita Chaudhary, Nisha Gaur, Mohit Yadav

“…According to Gibbs plots, Durov Scatter Plot, and Hill Piper Trilinear Diagram of water dominated the rock-weathering process, while hydrochemical facies progressed from the beginning to the intermediate stage of Chadha’s graphical representation illustrates the progression of hydrochemical processes in surface water. …”
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Argumentative SOX Compliant and Quality Decision Support Intelligent Expert System over the Suppliers Selection Process by Jesus Angel Fernandez Canelas, Quintin Martin Martin, Juan Manuel Corchado Rodriguez

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Development of a Production Process for Biomass-Based Activated Carbon via Hydrothermal Carbonization Method by Nida Katı, Ferhat Uçar

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Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

“…These advancements underscore the method’s potential for real-time implementation in complex industrial systems, balancing computational efficiency with control precision. Additionally, the framework’s modular design enables integration with existing optimization techniques to further reduce computational complexity without compromising effluent quality compliance.…”
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The temporal structure of multiple visuomotor processes in baseball batting: insights from a virtual reality system by Naoki Saijo, Takehiro Fukuda, Makio Kashino

“…Baseball batting is an inherently complex visuomotor task that requires the rapid processing of multiple cognitive-motor computations within a split second. …”
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FastGEMF: Scalable High-Speed Simulation of Stochastic Spreading Processes Over Complex Multilayer Networks by Mohammad Hossein Samaei, Faryad Darabi Sahneh, Caterina Scoglio

“…Predicting stochastic spreading processes across large-scale multi-layered networks remains a significant computational challenge due to the intricate interplay between network structure and spread dynamics. …”
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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

“…A method for constructing the empirical models of complex processes has been developed on the basis of genetic algorithms which, compared to the inductive method of self-organization of models, significantly reduces computer time for their implementation. …”
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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

“…The limitation of the study was the lack of access to high-performance computational resources.…”
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