An optimization protocol for MRI examination resource allocation based on demand forecasting and linear programming by Zhongbin Zhou, Hanyu Zhou, Yuanyuan Qiao, Zihan Gao, Ying Yang

“…It was, therefore, crucial to devise a comprehensive method that could shorten patient wait times and optimize the use of medical resources within hospitals. …”
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Optimized Multiple Unmanned Surface Vehicle Strategies for Target Tracking with Field of View Constraints by Kai Xue, Zeyu Xu, Ping Wang, Qiuhong Li, Zhiqin Huang, Decheng Kong

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Efficient Prompt Optimization for Relevance Evaluation via LLM-Based Confusion Matrix Feedback by Jaekeol Choi

“…In this paper, we propose a novel prompt optimization method that leverages LLM-based confusion matrix feedback to efficiently optimize prompts for the relevance evaluation task. …”
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Optimal entanglement generation in optomechanical systems via Krotov control of covariance matrix dynamics by Pengju Chen, Da-Wei Luo, Ting Yu

“…We investigate the optimal control of a continuous variable system, focusing on entanglement generation in an optomechanical system without utilizing Fock basis cutoffs. …”
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Fruit-Fly-Optimized Weighted Averaging Algorithm for Data Fusion in MEMS IMU Array by Ting Zhu, Gao Peng, Jianping Li, Jiawei Xuan, Jingbei Tian

“…Firstly, a measurement model for the MEMS IMU array is constructed, and the principles of data fusion are systematically investigated. …”
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Spatially multiplexed single-photon sources based on binary-tree multiplexers with optimized structure by Matyas Mechler, Peter Adam

“…Abstract We develop a method for optimizing the structure of general binary-tree multiplexers realized with asymmetric photon routers aiming at improving the performance of spatially multiplexed single-photon sources. …”
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Dam Deformation Data Preprocessing with Optimized Variational Mode Decomposition and Kernel Density Estimation by Siyu Chen, Chaoning Lin, Yanchang Gu, Jinbao Sheng, Mohammad Amin Hariri-Ardebili

“…To enhance outlier identification and denoising in dam deformation monitoring data, this study proposes a novel preprocessing method based on optimized Variational Mode Decomposition (VMD) and Kernel Density Estimation (KDE). …”
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Investigation on effects of sludge and limestone in sustainable infrastructure: From performance optimization to carbon reduction by Xiaodong Zhang, Jun Yang, Ming Sun, Ying Su, Changchun Li, Shuanghong Ge, Chunmei Liu, Lei Yang, Fengxia Xu, Jiayang Zhang, Sinan Ouyang

“…The findings reveal that the synergistic incorporation of sludge ash and limestone optimizes pore structures, enhances the formation of carbonate-based hydration products, and significantly improves long-term properties, including a 34 % reduction in chloride ion concentration and a 5.98 % increase in flexural strength after 365 days. …”
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A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage by Liwei Chen, Ye Zhang, Yue Zheng

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Optimizing surfactin yield in Bacillus velezensis BN to enhance biocontrol efficacy and rhizosphere colonization by Tongshu Liu, Yanli Zheng, Litao Wang, Xu Wang, Haiyan Wang, Yongqiang Tian

“…However, the practical application of surfactin is currently limited by its low yield in natural strains.MethodsThis study aimed to optimize the culture conditions for Bacillus velezensis BN, a strain with exceptional biocontrol properties, to enhance its surfactin yield. …”
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Response surface optimization of ciprofloxacin degradation using UV/O3 oxidation process by Wahyu Zuli Pratiwi, H. Hadiyanto, W. Widayat, Rifqi Ahmad Baihaqi

“…Response surface methodology was employed with a Box-Behnken design, and optimal conditions were identified: a ciprofloxacin concentration of 10 mg/L, an ozone flow rate of 1.5 L/min, and a pH of 9, resulting in 98.64 % degradation efficiency. …”
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Time-Dependent Shortest Path Optimization in Urban Multimodal Transportation Networks with Integrated Timetables by Yong Peng, Aizhen Ma, Dennis Z. Yu, Ting Zhao, Chester Xiang

“…To address this NP-hard problem, we propose and implement two optimization algorithms: a variable-length coding genetic algorithm (V-GA) and a full permutation coding genetic algorithm (F-GA). …”
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The Impact of Different Parallel Strategies on the Performance of Kriging-Based Efficient Global Optimization Algorithms by Hang Fu, Qingyu Wang, Takuji Nakashima, Rahul Bale, Makoto Tsubokura

“…A parallel efficient global optimization (EGO) algorithm with a pseudo expected improvement (PEI) multi-point sampling criterion, proposed in recent years, is developed to adapt the capabilities of modern parallel computing power. …”
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Sustainable project choice: Integrating Must-Be kano and fuzzy logic for optimal project selection by Vikas Swarnakar, Raed Jaradat, Malik Khalfan, Maher Maalouf, Abdelrahman E.E. Eltoukhy, Niamat Ullah Ibne Hossain

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Optimization and evaluation of nebivolol hydrochloride loaded transferosomes using Box-Behnken experimental design by P V Shelke, Punit R Rachh, Someshwar Mankar, Saurin Amin, Deepak Jain

“…Results and discussion: The optimized formulation demonstrated notable deformability, an entrapment effectiveness of 50%, and a vesicle size of 265 nm. …”
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Optimized Scheduling of Integrated Energy Systems Considering Electric Vehicles and Carbon Emission Trading by Yanhong Xiao, Bin Qian, Jiaxiang Ou, Weibin Lin, Houpeng Hu, Xiaoming Lin, Yuedan Deng, Jianlin Tang

“…System emissions exhibit a U-shaped relationship with EV penetration, reaching a minimum at 9.20%. …”
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Optimizing Deep Learning Models for Fire Detection, Classification, and Segmentation Using Satellite Images by Abdallah Waleed Ali, Sefer Kurnaz

“…The study evaluated the performance of three distinct models: an autoencoder, a U-Net, and a convolutional neural network (CNN), comparing their effectiveness in predicting wildfire occurrences. …”
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Optimization of fuzzy bottleneck cost transportation models in the decision framework of congruence modulo technique by Kapil Kumar, Nandini, Tarun Kumar, Kailash Dhanuk, Anirudh Kumar Bhargava, M.K. Sharma

“…Starting from the crisp bottleneck cost transportation problem, we extend this framework into a fuzzy domain, applying the proposed methodology to both cost and time parameters represented through triangular fuzzy numbers in symmetric and non-symmetric forms. …”
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Seamless Optimization of Wavelet Parameters for Denoising LFM Radar Signals: An AI-Based Approach by Talaat Abdelfattah, Ali Maher, Ahmed Youssef, Peter F. Driessen

“…This paper introduces an innovative approach by combining wavelet denoising with long short-term memory (LSTM) networks specifically tailored for LFM signals in radar systems. By generating a dataset of LFM signals at various signal-to-noise Ratios (SNR) to ensure diversity, we systematically identified the optimal wavelet parameters for each noisy instance. …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. …”
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