Atmospheric stability from numerical weather prediction models and microwave radiometer observations for onshore and offshore wind energy applications by D. Cimini, D. Cimini, R. Gandoin, S. Fiedler, S. Fiedler, C. Acquistapace, A. Balotti, S. Gentile, S. Gentile, E. Geraldi, C. Knist, P. Martinet, S. T. Nilo, G. Pace, B. Pospichal, F. Romano

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A Fusion Modeling Approach for Six-Phase Hybrid Excitation Synchronous Motor, Leveraging Finite-Element Analysis, and Experimental Data-Driven by Xiao Zeng, Yunhao Ma, Jiali Wan, Yiyu Liu

“…This research addresses critical challenges in six-phase hybrid excitation synchronous motors (6P-HESM) by developing a comprehensive framework that bridges theoretical modeling and practical automotive applications. A fusion modeling approach for 6P-HESM, leveraging finite-element analysis (FEA) and experimental data-driven is proposed in this paper to serve the application of 6P-HESM in BSG application. …”
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Secure and energy-efficient inter- and intra-cluster optimization scheme for smart cities using UAV-assisted wireless sensor networks by Niayesh Gharaei, Aliaa M. Alabdali

“…These results highlight SEI2’s potential as a comprehensive solution for extending WSN lifetimes, enhancing energy efficiency, and strengthening data security, making it particularly suitable for smart city applications.…”
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Improving the Universal Performance of Land Cover Semantic Segmentation Through Training Data Refinement and Multi-Dataset Fusion via Redundant Models by Jae Young Chang, Kwan-Young Oh, Kwang-Jae Lee

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Lagged Stance Interactions and Counter-Spiral of Silence: A Data-Driven Analysis and Agent-Based Modeling of Technical Public Opinion Events by Kaihang Zhang, Changqi Dong, Yifeng Guo, Wuai Zhou, Guang Yu, Jianing Mi

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Aerosol Retrieval Method Using Multi-Angle Data from GF-5 02 DPC over the Jing–Jin–Ji Region by Zhongting Wang, Shikuan Jin, Cheng Chen, Zhen Liu, Siyao Zhai, Hui Chen, Chunyan Zhou, Ruijie Zhang, Huayou Li

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A Bayesian latent gaussian model with time-varying spatial weight matrices: Application to mod-eling the impact of multi-pollutant exposure on tuberculosis by I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular, Farah Kristiani

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A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics by Nitin Rai, Harsh Pathak, Maria Villamil Mahecha, Dennis R. Buckmaster, Yanbo Huang, Paul Overby, Xin Sun

“…Canola (Brassica napus L.) yield prediction using a combined application of small unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant attention. …”
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Unveiling the effects of big data analytic capability on improving healthcare supply chain resilience: An integrated MCDM with spherical fuzzy information approach by Detcharat Sumrit

“…The objective of this study is to investigate the critical role of big data analytics capability (BDAC) in improving the resilience of healthcare supply chains. …”
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The data-driven localized wave solutions of KdV-type equations via physics-informed neural networks with a priori information by Zhi-Ying Feng, Xiang-Hua Meng, Xiao-Ge Xu

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Estrogenic activity of mixtures in the Salish Sea: The use of high throughput toxicity data with chemical information from fish bile and other matrices. by Maya Faber, C Andrew James, Louisa B Harding, Denis A M da Silva, Ruth M Sofield

“…In this study, the estrogenic activity of mixtures was assessed with in vitro high throughput data, which expanded the number of chemicals included in the evaluation. …”
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Calibration of Electron Microscopes Through Deep Learning and Bayesian Optimization by Jilles S. van Hulst, Roy A. C. van Zuijlen, Narges Javaheri, Maurits Diephuis, Duarte J. Antunes, W. P. M. H. Heemels

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Organization of management and structure in local networks internet of things by U. A. Vishniakou, A. H. Al-Masri, S. K. Al-Haji

“…The decisionmaking subsystem will issue data on milk quality to the farm administrator on a mobile device. …”
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Heavy metal adsorption efficiency prediction using biochar properties: a comparative analysis for ensemble machine learning models by Zaher Mundher Yaseen, Farah Loui Alhalimi

“…At the first stage, data processing was performed including outliers’ removal and scaling for better data modeling applicability; whereas, in the second stage the predictive models were conducted. …”
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Modeling the Impact of Between-lot and Within-lot Variability in Listeria monocytogenes Contamination on Risk Reduction From Sampling Ready-to-eat Foods by Yuhuan Chen, Régis Pouillot, Jane M. Van Doren

“…Data and model inputs included the prevalence and levels of L. monocytogenes, sampling plan parameters, and operating characteristic curve data. …”
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L-isoleucine doped Creatininium Benzene Sulphonate organic single crystals: Insight into charge carrier dynamics and sensor applications by C. Ramajeya, K. Balasubramanian

“…The study underscores the role of charge transfer dynamics in optimizing nonlinear optical materials for photonic integrated circuits, biosensors, and energy-efficient optoelectronic devices through quantum tunnelling confirmed by Eyring Transmission co-efficient using TG/DTA and Cyclic voltammetry datas. Quantum effect Coupled with strong nonlinear optical stability such as improved SHG and high LDT after doping, it serves as a valuable candidate for optical robustness applications.…”
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Preparation for Entering a Higher Educational Institution as an Investment Project by V. A. Kataeva, V. R. Masalkina, A. A. Ponomareva

“…It also includes the collection and analysis of a statistical set of data and the development of a mechanism for choosing a training method with the available data about the applicant through neural network modeling.Results. …”
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Data Obfuscation Through Latent Space Projection for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection by Mahesh Vaijainthymala Krishnamoorthy

“…Traditional approaches such as differential privacy and homomorphic encryption often struggle to maintain an effective balance between protecting sensitive information and preserving data utility for AI applications. This challenge has become particularly acute as organizations must comply with evolving AI governance frameworks while maintaining the effectiveness of their AI systems. …”
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The possibility of a significant increase in the level of motor activity in students with the use of the potential of computer technology by A.Yu. Osipov, M. D. Kudryavtsev, Yu.A. Kopylov, V.A. Kuzmin, E.V. Panov, I. E. Kramida

“…It is intended to use the collection and exchange of data on the daily mobility of students in popular online networks and mobile applications. …”
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Investigation and Comparison of Some Laboratories in Terms of Occupational Health and Safety by ELMERI Observation Method by Orkun Dalyan, Mehmet Pişkin, Ömer Faruk Öztürk, Nuray Özkaya

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