Precise Recognition and Feature Depth Analysis of Tennis Training Actions Based on Multimodal Data Integration and Key Action Classification by Weichao Yang

“…This study provides scientific evidence and technical support for optimizing actions and improving strategies in professional training.…”
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Construction of a Library of Fatty Acid Esters of Hydroxy Fatty Acids by Olga G. Mountanea, Charikleia S. Batsika, Christiana Mantzourani, Christoforos G. Kokotos, George Kokotos

“…Fatty Acid Esters of Hydroxy Fatty Acids (FAHFAs) have emerged as extraordinary bioactive lipids, exhibiting diverse bioactivities, from the enhancement of insulin secretion and the optimization of blood glucose absorption to anti-inflammatory effects. …”
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A Midcourse Guidance Method Combined with Trajectory Prediction for Antinear-Space-Gliding Vehicles by JiaQing Wan, Qian Zhang, Hao Zhang, JiaNing Liu

“…The analytical expression of a guidance command based on zero-error-miss/zero-error-velocity is established on the basis of the optimal control theory to provide an optimal flight path guiding an NSGV fly toward a point of interception. …”
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DSMC: A Novel Distributed Store-Retrieve Approach of Internet Data Using MapReduce Model and Community Detection in Big Data by Xu Xu, Jia Zhao, Gaochao Xu, Yan Ding, Yunmeng Dong

“…Secondly, the storage optimization method is put forward; it uses the hash functions with light-weight characteristics and the community detection to address the storage structure and solve the data retrieval problems. …”
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A Super Wideband Directional Compact Vivaldi Antenna for Lower 5G and Satellite Applications by Liton Chandra Paul, Md. Mohiminul Islam

“…Thus, after design, optimization, and simulation, the antenna produces a good reflection coefficient over the very large operating bandwidth of 23.19 GHz, 1 < VSWR < 2, maximum gain of 10.2 dBi, and average radiation efficiency of above 90%, which can be recommended as a suitable antenna for lower 5G as well as satellite applications. …”
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An Improved HM-SAC-CA Algorithm for Mobile Robot Path Planning in Unknown Complex Environments by Ting Jiao, Conglin Hu, Lingxin Kong, Xihao Zhao, Zhongbao Wang

“…Path planning and its optimization is a critical and difficult task for a mobile robot in a complex and unknown environment. …”
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Compatibilizer Polarity Parameters as Tools for Predicting Organoclay Dispersion in Polyolefin Nanocomposites by Marek Weltrowski, Patricia I. Dolez

“…This may indicate the existence of a maximum in the nanoclay exfoliation/compatibilizer polarity curve, which would open new perspectives for nanocomposite performance optimization.…”
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A Simple Numerical Model to Estimate the Temperature Distributions Over Photodetectors in Steady-State by Ergun Simsek, Alexander S. Hastings, David A. Tulchinsky, Keith J. Williams, Curtis R. Menyuk

“…These insights contribute to the understanding and optimization of thermal management in photodetectors under strong optical excitations.…”
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The Role of Bauman Moscow State Technical University in Scientific and Methodical Support of Higher School of Russia (To the 30th Anniversary of Educational and Methodical Associat... by S. V. Korshunov

“…The paper highlights such aspects of MSTU activities as: detachment from Moscow Higher Technical School a number of engineering institutes in the 1930th years; optimization of training terms in engineering specialties; convergence of technical and classical university education, universitization of engineering education, creation of the Association of technical universities, the activities of the scientific and educational centers, which can be viewed as a new stage of the Russian method of engineers’ training, the contribution of Bauman Moscow State Technical University to the development of information technology in engineering education, BMSTU’s participation of in state and public governing of higher education system; the deepening of the international academic mobility.…”
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Bi-Level Game Strategy for Virtual Power Plants Based on an Improved Reinforcement Learning Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

“…To address the issue of economic dispatch imbalance in virtual power plant (VPP) systems caused by the influence of operators and distribution networks, this study introduces an optimized economic dispatch method based on bi-level game theory. …”
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Reduction of Energy Consumption of Brackish Water Reverse Osmosis Desalination System Via Model Based Optimisation by Mudhar A. Al-Obaidi, Alanood A. Alsarayreh, I. M. Mujtaba

“…Therefore, the optimisation of this study has been directed to determine optimal inlet conditions within feasible limits to minimise SEC. …”
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Enhanced Adaptive Neural-Fuzzy Inference System for Dynamic Time Series Prediction Using Self-Feedback and Hybrid Training by Andrew Topper, Honglei Yao

“…Additionally, a hybrid approach combining the Imperialist Competitive Optimization Algorithm (ICA) and Least Squares Estimation (LSE) is employed to train the neural-fuzzy system and update its parameters. …”
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Chemical evolution characteristics and influencing factors of groundwater in the saline and fresh water funnel area in Hengshui City, North China by Yanbo Yu, Baizhong Yan, Yapeng Tuo, Xinkai Zhan, Xiandong Xie

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Intelligent Acting Digital Twins (IADT) by Ahcene Bounceur, Mostefa Kara

“…Digital twin technology has become a key enabler in modern system design and operation, allowing for real-time monitoring, simulation, and optimization. In this article, we present the Intelligent Acting Digital Twin (IADT), a concept that addresses a critical limitation of conventional digital twins, which are primarily passive tools for observation and simulation. …”
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Game-Theoretic Comparison Approach for Intercontinental Container Transportation: A Case between China and Europe with the B&R Initiative by Xi Chen, Xiaoning Zhu, Qingji Zhou, Yiik Diew Wong

“…The behavior of each mode (modeled as a carrier, resp.) is characterized by an optimization model with the objective of minimizing its cost by setting optimal basic freight rate and transportation deployment. …”
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A high-resolution three-year dataset supporting rooftop photovoltaics (PV) generation analytics by Zinan Lin, Qi Zhou, Zhe Wang, Ce Wang, Davis Boyd Bookhart, Marcus Leung-Shea

“…Abstract This paper presents an open-source dataset intended to enhance the analysis and optimization of photovoltaic (PV) power generation in urban environments, serving as a valuable resource for various applications in solar energy research and development. …”
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Humatch - fast, gene-specific joint humanisation of antibody heavy and light chains by Lewis Chinery, Jeliazko R. Jeliazkov, Charlotte M. Deane

“…This guidance ensures final humanized designs do not sit ‘between’ genes, a trait that is not naturally observed. Humatch’s optimization toward specific genes and good VH/VL pairing increases the chances that final designs will be stable and express well and reduces the chances of immunogenic epitopes forming between the two chains. …”
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Minimum-Cost QoS-Constrained Deployment and Routing Policies for Wireless Relay Networks by Frank Yeong-Sung Lin, Chiu-Han Hsiao, Kuo-Chung Chu, Yi-Heng Liu

“…Our contribution is utilizing the LR method to propose an optimal solution to minimize the CAPEX of operators to build up a relay network with more efficiency and effectiveness and the QoS can be guaranteed by service level agreement.…”
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Analysis of the Response of Urban Water Consumption to Climatic Variables: Case Study of Khorramabad City in Iran by Omid Hamidi, Hamed Abbasi, Hamid Mirhashemi

“…In this study, several models including zero-order Pearson’s correlation coefficient, first-order Pearson’s correlation, generalized additive model (GAM), generalized linear model (GLM), support vector machine (SVM-Nu), and simplex optimization algorithm were used in order to identify linear/nonlinear reactions of monthly water consumption to the individual and combined associations of meteorological variables (temperature, air pressure, and relative humidity) in Khorramabad city. …”
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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition by Patcharin Kamsing, Peerapong Torteeka, Wuttichai Boonpook, Chunxiang Cao

“…To enhance the performance of image classification and speech recognition, the optimizer is considered an important factor for achieving high accuracy. …”
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