Adjustment of angle error and tolerance allocation methods for RV reducers by ZHANG Bowen, ZHOU Jianxing, CUI Quanwei, LIN Kaihong, ZHOU Yadong, XU Wenqiang

“…Finally, with the minimum total processing cost as the objective function, the angular tolerance allocation of key components was completed by using the genetic algorithm.ResultsThe research results prove the effectiveness of this method in improving the transmission accuracy and stability of RV reducers, but different accuracy weight values should be selected according to actual accuracy requirements to minimize costs.…”
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Demand Response Model of Low‐Carbon Economy in Integrated Energy System Based on Carbon Flow Traceability by Yu Liu, Xinmei Wang, Songda Li, Lili Liu, Yi Zhao, Ming Yu

“…At present, most of the existing studies on the low‐carbon operation of integrated energy systems focus on the source side and rarely extend to the load side, and do not consider the demand response characteristics of different loads. Therefore, based on the carbon flow tracing method of the power system, this paper presents a model to adjust the load side operating state of the power system by using price incentive. …”
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Optimizing context-based location extraction by tuning open-source LLMs with RAG by Zifu Wang, Yahya Masri, Anusha Srirenganathan Malarvizhi, Tayven Stover, Samir Ahmed, David Wong, Yongyao Jiang, Yun Li, Mathieu Bere, Daniel Rothbart, Dieter Pfoser, David Marshall, Chaowei Yang

“…Extracting the geographic locations from text within their contexts is challenging, even with Natural Language Processing (NLP) tools and the latest Large Language Models (LLMs). We propose to optimize LLMs using Retrieval-Augmented Generation (RAG) and prompt-tuning methods, such as zero-shot and instruction-based prompting to improve the precision of extracting location information from news. …”
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Development of Chiller Plant Models in OpenAI Gym Environment for Evaluating Reinforcement Learning Algorithms by Xiangrui Wang, Qilin Zhang, Zhihua Chen, Jingjing Yang, Yixing Chen

“…This paper develops chiller plant models in OpenAI Gym environments to evaluate different RL algorithms for optimizing condenser water loop control. …”
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Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization by Oussama Aoun

“…Experiments on different benchmark unimodal and multimodal functions demonstrate superior results over most state-of-the-art methods regarding solution accuracy and convergence speed.…”
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OUR EXPERIENCE OPTIMIZATION TOOLS USED IN THE REMOVAL OF IMPACTED LOWER THIRD MOLARS by D. C. Avetikov, V. D. Akhmerov, S. A. Stavitskiy, I. V. Yatsenko

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Optimization of difficult endodontic treatment with nickel-titanium files in martensitic and austenitic phase by D. A. Ostanina, Yu. A. Mitronin, D. V. Anisimova, A. V. Mitronin

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The development and initial evaluation of conversation cards for optimizing consultations for patients with atopic dermatitis by Anna Sophie Belling Krontoft, Kirsten Lomborg, Lone Skov

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Reconstruction of Wing Structure Deformation Based on Particle Swarm Optimization Ridge Regression by Xinyi Wu, Zhiwei Xu, Jie Zeng

“…A structural deformation monitoring and reconstruction method, PSO-RR (particle swarm optimization-ridge regression) algorithm, is proposed. …”
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Optimizing strategy for cervical cancer prevention in china: a comprehensive modeling analysis by Dachuang Zhou, Di Zhang, Yi Wang, Kejia Zhou, Wenxi Tang

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Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm by A.M. Nassef, H.E. Ghadbane, E.T. Sayed, H. Rezk

“…Implementing an energy management strategy to enhance the performance of fuel cell electric vehicles by optimizing the allocation of power among different energy sources is a crucial engineering problem. …”
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Exploration of the Main Models and Optimization Paths for the Market-Oriented Operation of Urban Parks by Yanting LI, Qiaowan YANG

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Synchronous reluctance machine design considering slotting effect and rotor topology optimization by Sayyed Haleem Shah, Omer Mohammed Elbabo Mohammed, Sadiq Ur Rahman, Hui Cai

“…The best and worst design scenarios for SynRM design obtained through angle variation of the flux barrier ends are explored considering its electromagnetic and structure performance metrics. The proposed method and optimization technique are validated for different designs of SynRM with fluid shapes and straight segmented shapes flux barriers under different slot pole combinations. …”
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Aerodynamic Optimization of Airfoil in Wide Range of Operating Conditions Based on Reinforcement Learning by Yiting Zhang, Jiaqi Luo, Yao Zheng, Yaolong Liu

“…In this paper, we demonstrate the effectiveness and versatility of reinforcement learning (RL)-based optimization methods in enhancing aerodynamic performance for both transonic and supersonic airfoils. …”
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Optimizing statin therapy in HIV-infected patients: a review of pharmacotherapy considerations by Ramin Ansari, Hossein Khalili, Keyhan Mohammadi

“…Methods Databases, including Scopus, PubMed, Google Scholar, EMBASE, and Web of Science, were searched for relevant literature on the role of statins in primary/secondary prevention of CVD in PLWH based on the PICO search strategy. …”
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Optimizing the early-stage of composting process emissions – artificial intelligence primary tests by Joanna Rosik, Maciej Karczewski, Sylwia Stegenta-Dąbrowska

“…One promising approach to enhancing composting conditions is using novel analytical methods based on artificial intelligence. To predict and optimize the emissions (CO, CO2, H2S, NH3) during the early-stage of composting process machine learning (ML) models were utilized. …”
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Optimizing the process conditions for the biosorption of chromium (VI) by Bacillus subtilis in artificial wastewater by Khawla E. Alsamhary

“…This study shows the potential of B. subtilis as a viable bioremediation agent for Cr(VI) contamination in wastewater and should be studied further using real wastewater with different pollutants.How to cite: Alsamhary KE. Optimizing the process conditions for the biosorption of chromium (VI) by Bacillus subtilis in artificial wastewater. …”
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Energy Efficiency Optimization for UAV-RIS-Assisted Wireless Powered Communication Networks by Xianhao Shen, Ling Gu, Jiazhi Yang, Shuangqin Shen

“…Considering two TDMA methods, the paper jointly optimizes the flight trajectory of the UAV, the energy harvesting scheduling of ground nodes, and the phase shift matrix of the RIS with the goal of improving the energy efficiency of the system. …”
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Enhancing Greenhouse Efficiency: Integrating IoT and Reinforcement Learning for Optimized Climate Control by Manuel Platero-Horcajadas, Sofia Pardo-Pina, José-María Cámara-Zapata, José-Antonio Brenes-Carranza, Francisco-Javier Ferrández-Pastor

“…The study concludes that the integration of IoT and RL technologies is effective, validating the model’s ability to manage and optimize greenhouse operations efficiently and adapt to different types of crops. …”
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Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment by Antonino Cirello, Tommaso Ingrassia, Antonio Mancuso, Giuseppe Marannano, Agostino Igor Mirulla, Vito Ricotta

“…Nature-inspired metaheuristics have proven effective for addressing complex structural optimization challenges where traditional deterministic or gradient-based methods often fall short. …”
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