Development of a Non-Uniform Heat Source Model for Accurate Prediction of Wheel Tread Temperature on Long Downhill Ramps by Jinyu Zhang, Jingxian Ding, Jianyong Zuo

“…A thermomechanical coupled finite element model was established, incorporating a moving heat source to analyze the effects of different models on wheel tread temperature distribution and its evolution over time. …”
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Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies by Bishwajit Dey, Gulshan Sharma, P.N. Bokoro

“…This efficiency gain translates into a notable enhancement in the load factor, increasing from 0.83 to 0.86, and a significant drop in overall generation costs from $25,463 to $21,823 under optimal conditions. …”
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Examining Adaptive E-Learning Approaches to Enhance Learning and Individual Experiences by Fateh Benkhalfallah, Mohamed Ridda Laouar, Mohamed Salah Benkhalfallah

“…The concept of individualization has emerged as an essential advance in education, representing a paradigm shift adopted by educational systems worldwide. This paradigm evolution aims to optimize student performance by harnessing the potential of diverse e-learning platforms tailored to individual needs. …”
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Comparative analysis of the effectiveness of BPG, AGU, AVIF and HEIF compression methods for medical images corrupted by noise of two types by Viktoriia Naumenko, Volodymyr Lukin, Vitalii Naumenko, Nadiia Kozhemiakina, Mykyta Solodovnyk

“…The tasks considered include: selecting 512x512 grayscale test images with various degrees of visual complexity, including visually complex images rich in edges and textures, moderately complex images with edges and textures adjacent to homogeneous areas, and visually simple images consisting mainly of homogeneous areas; establishing image quality assessment metrics and evaluating their effectiveness under different encoder compression parameters; selecting one or more metrics that clearly determine the position of the optimal operation point; providing recommendations based on the results obtained for compressing medical images corrupted by additive white Gaussian and Poisson noises using four encoders to maximize the quality of the restored image to the noise-free original. …”
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A Correlational Study on Architectural Design and Thermal Distribution Patterns Using a Novel Multi-Terminal Approach in Cylindrical Li-Ion Cell-Integrated Battery Packs by Sagar D, Raja Ramar, Shama Ravichandran

“…A novel architectural design is proposed to mitigate uneven thermal distribution, peak temperature, and heat spot generation, which are common issues that are observed in conventional battery packs. …”
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Perturbation based privacy preservation and classification using Jaya Algorithm and Dragonfly Inspired Algorithm by Dipanwita Sen, Bhupati Bhusan Mishra, Prasant Kumar Pattnaik

“…The classical classifiers used are Decision Tree, Random Forest, AdaBoost, KNN and GNB. The standard evaluation metrics are recorded thereafter. For privacy, the evaluation metrics used are Secrecy, Value Difference(VD), RP, RK, CP and CK. …”
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A Metaheuristic Framework for Cost-Effective Renewable Energy Planning: Integrating Green Bonds and Fiscal Incentives by Juan D. Saldarriaga-Loaiza, Johnatan M. Rodríguez-Serna, Jesús M. López-Lezama, Nicolás Muñoz-Galeano, Sergio D. Saldarriaga-Zuluaga

“…We apply a flexible investment model that helps to find the most cost-effective financing strategies for different renewable technologies. To do this, we use three optimization techniques to identify solutions that lower electricity generation costs: Teaching Learning, Harmony Search, and the Shuffled Frog Leaping Algorithm. …”
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Artificial intelligence models development for profitability factor prediction in concentrated solar power with dual backup systems by Zaher Mundher Yaseen, Omer A. Alawi

“…The three operating cases were evaluated using five different TES capacities (0–20 with 5 h step). …”
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Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters by Jahedul Islam, Sheikh Tanzim Meraj, Ammar Masaoud, Md. Apel Mahmud, Amril Nazir, Muhammad Ashad Kabir, Md. Moinul Hossain, Farhan Mumtaz

“…The performance of the algorithm is evaluated with three different case studies involving 7, 11, and 17-level three-phase MLIs. …”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Short-term wind power forecasting helps improve grid stability, optimize wind farm power generation plans, and reduce operating costs, enhancing the economic benefits of wind power and supporting the goals of low-carbon development. …”
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Stabilized diverse HIV-1 envelope trimers for vaccine design by Qian Wang, Bingting Ma, Qingtai Liang, Angqi Zhu, Hua Wang, Lili Fu, Xiaoxu Han, Xuanling Shi, Ye Xiang, Hong Shang, Linqi Zhang

“…By taking advantage of naturally stable Envs, gp41ECTO swapping may represent a universal approach for the generation of stable trimers with the desired structural and antigenic properties for downstream in vivo evaluation and vaccine development.…”
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An Adaptive Control Strategy for a Better Performance of the Paralleled PV-BES-VSG Power System by Xian Gao, Dao Zhou, Amjad Anvari-Moghaddam, Frede Blaabjerg

“…The growing integration of renewable energy sources has led to the development of virtual synchronous generator (VSG) control as a way to enhance system stability and offer primary frequency regulation. …”
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Prediction of Potato Rot Level by Using Electronic Nose Based on Data Augmentation and Channel Attention Conditional Convolutional Neural Networks by Jiayu Mai, Haonan Lin, Xuezhen Hong, Zhenbo Wei

“…A comprehensive evaluation of the GMEGAN-generated data, including feature mapping consistency, data distribution similarity, and quality metrics, demonstrated that the generated data closely resembled real data, thereby effectively enhancing dataset diversity. …”
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Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…A DHKELM-based combined prediction model is developed for each component of the decomposition, tailored to different weather types. The model’s hyperparameters are optimized using the IDBO. …”
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Hierarchical control and emulation of a wave energy hyperbaric converter by Isaac R. Machado, Paula B. Garcia‐Rosa, Edson H. Watanabe

“…The hierarchical control integrates the generator and HSS controllers considering the optimal operating pressure for local sea state conditions. …”
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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

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Optimising management against dynamic threats: A spatially explicit approach based on integer programming by José Salgado‐Rojas, Virgilio Hermoso, Eduardo Álvarez‐Miranda

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Definition of metafounders based on population structure analysis by Christine Anglhuber, Christian Edel, Eduardo C. G. Pimentel, Reiner Emmerling, Kay-Uwe Götz, Georg Thaller

“…For this $$k$$ k differences in mean and mean diagonal values between both matrices were negligible. …”
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Retrospective Illumination Correction of Retinal Images by Libor Kubecka, Jiri Jan, Radim Kolar

“…This allows us to express the derivatives of the entropy criterion analytically, which enables efficient use of gradient-based optimization algorithms. Seven different gradient- and nongradient-based optimization algorithms were initially tested on a set of 40 simulated retinal images, generated by a model of the respective image acquisition system. …”
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Systematic Inherent Safety Assessment of Electrolytic Hydrogen Production via Nr-topsis Approach by Jing Dang, Zijian Deng, Valerio Cozzani, Yi Liu

“…Judgment matrices were generated, and weight vectors were calculated, followed by consistency checks to ensure the rationality of the weight allocation. …”
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