Two-Stage Collaborative Power Optimization for Off-Grid Wind–Solar Hydrogen Production Systems Considering Reserved Energy of Storage by Yiwen Geng, Qi Liu, Hao Zheng, Shitong Yan

“…The proposed method enhances hydrogen production stability and HESS supply capacity while reducing renewable curtailment rates and average production costs. …”
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Study of rectangular fin heat sink performance and prediction based on artificial neural network by Zheng Lan, Yu-hao Feng, Ying-wen Liu

“…Moreover, with an increase in fin width, the friction factor increases while changes occur differently for Nusselt number at different Reynolds numbers. …”
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Knowledge and remaining gaps on the role of animal and human movements in the poultry production and trade networks in the global spread of avian influenza viruses - A scoping revi... by Claire Hautefeuille, Gwenaëlle Dauphin, Marisa Peyre

“…The role of wild bird movements in this global spread has been extensively studied while the role of animal, human and fomite movement within commercial poultry production and trade networks remains poorly understood. …”
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Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing by Huabing Yan, Hualong Huang, Zijia Zhao, Zhi Wang, Zitian Zhao

“…However, cloud computing dependency introduces latency, bandwidth, and privacy challenges, while IoT device limitations require efficient distributed computing solutions. …”
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Differential Diagnosis of Peripheral Lung Lesions: Capabilities and Limitations of Current Methods by R. N. Islamov, R. A. Sharipov, M. A. Bagirov, R. K. Tukfatullin, G. V. Chitorelidze, E. V. Pavlova, R. K. Yagafarova

“…The absence of a unified diagnostic algorithm often necessitates surgical intervention. …”
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A Deep Reinforcement Learning-Based Cooperative Guidance Strategy Under Uncontrollable Velocity Conditions by Hao Cui, Ke Zhang, Minghu Tan, Jingyu Wang

“…This method employs the multi-agent proximal policy optimization (MAPPO) algorithm to construct a continuous action space framework for intelligent cooperative guidance. …”
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Active Lane-Changing Control of Intelligent Vehicle on Curved Section of Expressway by Pengfei Feng, Huiqing Jin, Linfeng Zhao, Mingyu Lu

“…In order to improve the intelligent vehicle lane-changing performance, an active lane-changing control algorithm is proposed considering the changes of road curvature and vehicle speed. …”
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AI-Assisted Pump Operation for Energy-Efficient Water Distribution Systems by Niuosha Hedaiaty Marzouny, Rebecca Dziedzic

“…The LLM-assisted framework was compared with a genetic algorithm optimization. The results demonstrated that the proposed method outperformed the GA, achieving an energy reduction of 66.98%.…”
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Observer-Based Event-Triggered Circle Formation Control for First- and Second-Order Multiagent Systems by Peng Xu, Guangming Xie, Jin Tao, Minyi Xu, Quan Zhou

“…This paper proposes an observer-based event-triggered algorithm to solve circle formation control problems for both first- and second-order multiagent systems, where the communication topology is modeled by a spanning tree-based directed graph with limited resources. …”
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Pillar-X: Integrating Self-Learned Image Features to Improve 3D Object Detection by Mihaly Csontho, Andras Rovid

“…The proposed model achieves this while maintaining a speed similar to the baseline algorithm (¿20 Hz). …”
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Representation of few-group homogenized cross section by multi-variate polynomial regression by Nguyen Dinh Quoc Dang, Masiello Emiliano

“…Additionally, it can reduce data preparation time because the size of the training set can be smaller than the number of points in the complete Cartesian grid, while still providing a good approximation. Furthermore, its evaluation algorithm can be adapted for GPU utilization, similar to polynomial interpolation with the Newton method [5].…”
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Romidepsin Used as Monotherapy in Sequence with Allogeneic Stem Cell Transplant in a Patient with Peripheral T-Cell Lymphoma by Nicholas Finn, Jean-Francois Larouche

“…Despite advances in the field, a clear treatment algorithm for most peripheral T-cell lymphoma (PTCL) subtypes remains to be defined. …”
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Prediction of Moisture Content in Kiwi (Actinidia deliciosa) Dried Using Machine Learning Approaches by Halil Nusret BULUS, Soner CELEN

“…The input for the training algorithm included kiwi slice thickness and drying time, while the output was the moisture content of the product. …”
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Meta-learning assisted robust control of universal quantum gates with uncertainties by Shihui Zhang, Zibo Miao, Yu Pan, Sibo Tao, Yu Chen

“…To address these challenges, we propose the meta-reinforcement learning quantum control algorithm (metaQctrl), which leverages a two-layer learning framework to enhance robustness and fidelity. …”
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Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…The scheduling framework and optimization algorithm achieve significant performance improvement on SSB and TPC-DS datasets. …”
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Threshold decoding of hospitals self-original conventional codes by E. G. Makeichik, A. I. Korolev, V. K. Kanapelka

“…It has been established that while preserving the merits of the threshold decoding algorithm, an increase in i (i ≥ 2) times the multiplicity of corrected errors is ensured by binary self-orthogonal codes with an equal transfer rate of codes.…”
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Computing the Matrix G of Multi-Dimensional Markov Chains of M/G/1 Type by Valeriy Naumov, Konstantin Samouylov

“…The first component is a nonnegative integer vector, while the second component indicates the state (or phase) of the external environment. …”
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Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…The scheduling framework and optimization algorithm achieve significant performance improvement on SSB and TPC-DS datasets. …”
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Selecting the Strategic Port of “the Belt and Road” Based on the Global Network by Zihui Yang, Qingchun Meng, Chanjuan Li

“…On the basis of constructing a network of 155 ports in the world, according to the number of ports crossed by the shortest path and betweenness centrality in the network, this paper uses K-Medoids clustering algorithm to train the strategic importance of ports and verifies the reliability of the analysis results. …”
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Exploring Stochastic Heat Equations: A Numerical Analysis with Fast Discrete Fourier Transform Techniques by Ahmed G. Khattab, Mourad S. Semary, Doaa A. Hammad, Aisha F. Fareed

“…Our approach uniquely combines a sixth-order compact finite difference algorithm with fast discrete Fourier transforms. While traditional discrete sine transforms are effective for approximating second-order derivatives, they are inadequate for first-order derivatives. …”
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