Aeroelastic Optimization Design for High-Aspect-Ratio Wings with Large Deformation by Changchuan Xie, Yang Meng, Fei Wang, Zhiqiang Wan

“…This paper presents a framework of aeroelastic optimization design for high-aspect-ratio wing with large deformation. …”
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Optimal Control Model for Alcohol–Related Risk Behaviors and Beliefs in Tanzania by Maranya M. Mayengo

“…An optimal control theory is applied to a system of ordinary differential equations representing the dynamics of health-related risks associated with alcoholism in the community with active religious beliefs. …”
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OPTIMIZATION OF TRANSIEN PROCESSES OF WATER LEVEL VARIATION IN DRUM OF STEAM BOILERS by G. T. Kulakov, A. N. Kuharenko

“…Here the step system of automatic regulation was determined, on the base of transfer function.It is noticed that optimal transient processes supply calculation of numerical value of transmission factor of regulator at g =2,618, it is more then was recommended, but statistic mistakes remain. …”
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Enhancing wound healing through deep reinforcement learning for optimal therapeutics by Fan Lu, Ksenia Zlobina, Nicholas A. Rondoni, Sam Teymoori, Marcella Gomez

“…By adaptively learning a linear representation of nonlinear wound healing dynamics using deep learning and interactively training a deep reinforcement learning agent for tracking the optimal signal derived from this representation without the need for intricate mathematical modelling, our approach has not only successfully reduced the wound healing time by 45.56% compared to the one without any treatment, but also demonstrates the advantages of offering a safer and more economical treatment strategy. …”
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Radiation Dose Optimization in Interventional Cardiology: A Teaching Hospital Experience by M. K. Badawy, T. Clark, D. Carrion, P. Deb, O. Farouque

“…Dose optimization is particularly pertinent in teaching hospitals, where longer procedure times are at times necessary to accommodate the teaching needs of junior staff, and thus impart a more significant radiation dose. …”
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TSUKAMOTO FUZZY IN OPTIMIZING THE CREDITWORTHINESS ASSESSMENT PROCESS AT SAVINGS AND LOAN COOPERATIVES by Tabah Heri Setiawan, Laras Prihatini

“…Tsukamoto fuzzy method can optimize the credit assessment process in Savings and loan Cooperatives because the eligibility assessment process becomes more efficient and objective.…”
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A Novel Chaotic System Generator Architecture Based on Optimization Algorithm by T. Cigal, E. Tanyildizi

“…For this reason, understanding the real world more effectively by exploring new chaotic systems has always been a hot research topic. …”
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Leveraging Generative AI for Modelling and Optimization of Maintenance Policies in Industrial Systems by Adolfo Crespo Márquez, Diego Pérez Oliver

“…Maintenance policies, evolving from simple calendar-dependent or age-dependent preventive maintenance strategies to more complex approaches involving partial system replacement, minimal repairs, or imperfect maintenance, have traditionally been optimized based on minimizing costs, maximizing reliability, and ensuring operational continuity. …”
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Thinned Virtual Array for Cramer Rao Bound Optimization in MIMO Radar by Xia Li, Buhong Wang

“…By transmitting multiple independent waveforms at the transmit side and processing echoes of spatial targets at the receive side, Multiple Input Multiple Output (MIMO) radar enjoys virtual array aperture expansion and more degree of freedom (DOF), both of which favors the application of direction finding or estimation of direction of arrival (DOA). …”
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Optimization of ventilation system in deep well gold mine based on Ventsim by Sun Yuhao, Wang Jie

“…Post-optimization, the ventilation system’s stability is improved, and air volume distribution becomes more reasonable, providing valuable guidance for Linglong Gold Mine’s ventilation management.…”
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Testing an optimally weighted combination of common and/or rare variants with multiple traits. by Zhenchuan Wang, Qiuying Sha, Shurong Fang, Kui Zhang, Shuanglin Zhang

“…Our results showed that, in all of the simulation scenarios, TOWmuT has correct type I error rates and is consistently more powerful than the other five tests. We also illustrated the usefulness of TOWmuT by analyzing a whole-genome genotyping data from a lung function study.…”
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Combinatorial Robust Optimization with Decision-Dependent Information Discovery and Polyhedral Uncertainty by Omer, Jérémy, Poss, Michael, Rougier, Maxime

“…Given a nominal combinatorial optimization problem, we consider a robust two-stages variant with polyhedral cost uncertainty, called Decision-Dependent Information Discovery (DDID). …”
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Reinforcement Learning Model for Optimizing Bid Price and Service Quality in Crowdshipping by Daiki Min, Seokgi Lee, Yuncheol Kang

“…Furthermore, given the complexity of the newly proposed problem, which involves multiple vehicles, route optimizations, and multiple attributes of bids, we employed a reinforcement learning (RL) approach that learns an optimal bid strategy. …”
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Collective colony growth is optimized by branching pattern formation in Pseudomonas aeruginosa by Nan Luo, Shangying Wang, Jia Lu, Xiaoyi Ouyang, Lingchong You

“…Hence, the formation of branching patterns represents an optimal strategy for the growth of Pseudomonas aeruginosa colonies. …”
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OPTIMAL METHODS FOR ELIMINATION OF OBSTRUCTIVE JAUNDICE WITH ADVANCED CANCER OF THE PANCREAS HEAD by T. G. Gevorkyan, I. A. Faynshteyn

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Optimizing the strategy of new media content distribution using fuzzy logic by Jianhua Qi, Jing Lin

“…By constructing a fuzzy reasoning system model, designing a fuzzy rule base, and implementing a defuzzification process, the strategy can handle uncertainty and multi-dimensional information to achieve more accurate and personalized recommendations. At the same time, the introduction of a reinforcement learning mechanism enables the system to have self-adjustment capabilities and continuously optimize the recommendation results based on real-time data. …”
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Parametric study and optimization of a two‐body wave energy converter by Xingxian Bao, Weijie Xiao, Shubo Li, Gregorio Iglesias

“…Combining numerical simulations, a neural network model and experimental work, this study provides an optimization programme for the main parameters of the device in the target sea region and, at a more general level, references for two‐body WEC designs based on specific sea states.…”
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Optimizing Distribution Costs Using Linear Programming in Refinery Sugar Manufacturer by Hendy T annady, Michael A. Aloria

“…Further, a new distribution pattern involving multiple warehouses and distribution centres, or customer warehouses, was proposed to the management team, resulting in more efficient distribution costs compared to previous expenditures. …”
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An informativeness score for optimal mixed datasets using Gaussian process regression by Cameron J LaMack, Eric M Schearer

“…We show that regardless of dataset size, models made with a dataset selected according to our optimally whole-system informative criterion are more accurate than models made with arbitrarily included data or datasets optimized without a whole-system view. …”
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Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing data. by Bo-Young Kim, Jung Hoon Park, Hye-Yeong Jo, Soo Kyung Koo, Mi-Hyun Park

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