Collaborative vehicle routing for equitable and effective food allocation in nonprofit settings by Rabiatu Bonku, Faisal Alkaabneh, Lauren Berrings Davis

“…To assess the performance of the approach, this paper evaluates three distinct models, focusing on key performance measures such as effectiveness, equity and efficiency. …”
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Experimental Characterization of a Commercial Photovoltaic Thermal (PVT) Hybrid Panel Under Variable Hydrodynamic and Thermal Conditions by Jorge Aguilar, Wilson Pavon, Zahir Dehouche

“…The experimental platform developed in this study also enables standardized PVT testing under controlled conditions, supporting consistent evaluation across different settings and contributing to global optimization efforts for hybrid solar technologies.…”
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Optimisation of Several Estimating Functions by Multicriterial Analysis of Civil Engineering Structure in Service Stage Monitoring by Daniel LEPĂDATU, Dorina ISOPESCU, Ion RUSU, Loredana JUDELE, Gabriel SANDULACHE

“… In order to ensure the safety of engineering structures and especially those with special regimen such as the viaducts requiring careful monitoring of spatial displacements, it is necessary to find an optimal combination of criteria that are evaluated by a multi-criteria analysis to avoid major structural degradation and their effects on of the entire structure that can generate catastrophes with major losses of human lives. …”
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Research on adversarial attacks and defense performance of image classification models for automated driving systems by TANG Jun, HUANG Wenjing, LI Shuang, WU Zili

“…However, output and judgment errors generated by these models due to the presence of adversarial examples, impose a great impact on the security and safety associated with their applications in automated driving systems. …”
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Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases by Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas

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Predicting the Traffic Crashes of Taxi Drivers by Applying the Non-Linear Learning of ANFIS-PSO with M5 Model Tree by E. Abbasi, M. Hadji Hosseinlou

“…The predictions of ANFIS models are combined applying a nonlinear weighted average method composed of M5 tree, and the PSO is utilized to find the optimal parameters of ANFIS models. The performance of the proposed model is evaluated in a case study and the relevant data are collected from a large group of Taxi drivers in the City of Tehran, Iran; as it was carried out to predict the associated accident rates. …”
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External quality assessment study for ebolavirus PCR-diagnostic promotes international preparedness during the 2014 - 2016 Ebola outbreak in West Africa. by Heinz Ellerbrok, Sonja Jacobsen, Pranav Patel, Toni Rieger, Markus Eickmann, Stephan Becker, Stephan Günther, Dhamari Naidoo, Livia Schrick, Kathrin Keeren, Angelina Targosz, Anette Teichmann, Pierre Formenty, Matthias Niedrig

“…However, reliability of these assays is largely unknown and requires serious evaluation. Therefore, a proficiency test panel of 11 samples was generated and distributed on a global scale. …”
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A review of supercritical CO2 Brayton cycle using in renewable energy applications by Wenxiao Chu, Katrine Bennett, Jie Cheng, Yi-Tung Chen

“…In the present paper, the research progress of SCO₂-BC including the performance evaluation, system optimization and economic evaluation are reviewed based on the references in recent years. …”
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Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure by Ömer Kaya

“…Route classes with different nicknames such as GreenLink and UrbanHealth Path have been created; and (v) DOmbi Bonferroni (DOBI) performance evaluation method was used to determine the preferred priority order for route construction in the study area. …”
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FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design by Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta, Stefanie Reese, Tim Brepols

“…This rapid evaluation enables a practical inverse analysis framework for obtaining the optimal design parameters that yield the desired effective response. …”
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A Reconfigurable 1x2 Photonic Digital Switch Controlled by an Externally Induced Metasurface by Alessandro Fantoni, Paolo Di Giamberardino

“…MMI couplers, based on self-imaging multimode waveguides, are very compact integrated optical components that can perform many different splitting and recombining functions. The input–output model has been defined using a machine learning approach; a high number of images have been generated through simulations, based on the beam propagation algorithm, obtaining a large dataset for an MMI structure under different activation maps of the MOS pixels. …”
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Enhancement in Bearing Fault Classification Parameters Using Gaussian Mixture Models and Mel Frequency Cepstral Coefficients Features by Youcef ATMANI, Said RECHAK, Ammar MESLOUB, Larbi HEMMOUCHE

“…Throughout, only one criterion is defined for the evaluation of the performance during all the cycle of the classification process. …”
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RETRACTED ARTICLE: Prioritizing customer and technical requirements for microgrid battery integration via a house of quality-driven decision-making approach by Hasan Dinçer, Serhat Yüksel, Serkan Eti, Yaşar Gökalp, Alexey Mikhaylov, Jaehyung An

“…The weights of the criteria are computed with sine trigonometric Pythagorean fuzzy (STPYF) decision making trial and evaluation laboratory (DEMATEL). Moreover, technical requirements are also ranked using a newly developed technique in this study called “ranking technique by geometric mean of similarity ratio to optimal solution” (RATGOS). …”
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Two-Layer Security for Image Encryption: A Switched System Approach by Uyen L. P. Nguyen, Long Tonthat, Vo-Tan Phuoc, Lap Luat Nguyen

“…Finally, the effectiveness of the proposed scheme is evaluated by simulation, then assessing it to different types of cryptanalytic analyses such as information entropy analysis, adjacent pixel correlation, differential attack analysis, key sensitivity analysis, and histogram analysis. …”
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Efficient black-box attack with surrogate models and multiple universal adversarial perturbations by Tao Ma, Hong Zhao, Ling Tang, Mingsheng Xue, Jing Liu

“…The integration of MUAPs, surrogate schemes, and genetic optimization addresses the key limitations of existing methods, offering a robust alternative for generating adversarial perturbations with reduced query budget.…”
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Evolution of Algorithms and Applications for Unmanned Surface Vehicles in the Context of Small Craft: A Systematic Review by Luis Castano-Londono, Stefany del Pilar Marrugo Llorente, Edwin Paipa-Sanabria, María Belén Orozco-Lopez, David Ignacio Fuentes Montaña, Daniel Gonzalez Montoya

“…The development of autonomous vessels and unmanned surface vehicles (USVs) has generated great interest in the scientific community due to their potential and advantages for use in various environments and applications. …”
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Using the TOPSIS method to select the best low-toxicity organic cosolvent for rice-based toxicity tests by Xingren Pan, Yi Kang, Jun-Feng Lu, Xiao-Zhang Yu

“…Three different weighting coefficients, namely entropy weight coefficients (EWCs), contribution factor coefficients (CFCs), and combination effective coefficients (CECs) were adopted to calibrate the initially created evaluation matrices. …”
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A High-resolution Soil Organic Carbon Map for Great Britain by Salar Mahmood, Beccy Wilebore, Rhosanna Jenkins, Katherine J. Willis, Marc Macias-Fauria, Shibu M. Ebrahim

“…Our SOC stock estimation compares with previous studies and our map reflects expected SOC distribution for different parts of GB under different LCs. Its high spatial resolution and accuracy enable SOC assessment at small scales (a single farm or a field) and can help to develop sustainable land management and guide soil sampling by optimizing sampling size and cost.…”
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Bind: large-scale biological interaction network discovery through knowledge graph-driven machine learning by Naafey Aamer, Muhammad Nabeel Asim, Aamer Iqbal Bhatti, Andreas Dengel

“…The two-stage training strategy achieved improvements up to 26.9% for protein-protein interactions. Optimal embedding-classifier combinations achieved F1-scores ranging from 0.85 to 0.99 across different biological domains. …”
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Quantum circuit unoptimization by Yusei Mori, Hideaki Hakoshima, Kyohei Sudo, Toshio Mori, Kosuke Mitarai, Keisuke Fujii

“…Furthermore, as a practical application, we construct concrete unoptimization recipes to generate compiler benchmarks and evaluate circuit optimization performance using Qiskit and Pytket. …”
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