Optimization Scheme for Modulation of Data Transmission Module in Endoscopic Capsule by Meiyuan Miao, Chen Ye, Zhiping Xu, Laiding Zhao, Jiafeng Yao

“…The results demonstrate that the optimized scheme is more suitable for improving the communication performance of endoscopic capsules.…”
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TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors by Adonisz Dimitriu, Tamás Vilmos Michaletzky, Viktor Remeli

“…As object detectors become more robust with models like YOLOv8, developing effective adversarial methodologies is increasingly challenging. …”
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Secrecy-Oriented Transmitter Optimization for Visible Light Communication Systems by Hong Shen, Yuqin Deng, Wei Xu, Chunming Zhao

“…Despite the fact that the corresponding optimization problem has a nonconvex fractional form, we are able to determine its locally optimal solution via Charnes–Cooper transformation and minorization-maximization algorithm. …”
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Pareto Optimization for Selecting Discriminating Test Locations in Plant Breeding by Mohammadreza Kiaghadi, Sigurdur Olafsson

“…Traditionally, this discriminative ability of locations has focused on precision, but recent work suggests that some locations may be more sensitive to changes in the main genotype effect, having a higher relative discriminative value. …”
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Application of Prompt Engineering Techniques to Optimize Information Retrieval in the Metaverse by Asım Sinan Yüksel, Muhammed Abdulhamid Karabıyık, Fatma Gülşah Tan

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Switch competing migration algorithm based on process optimization in SDN by Tao HU, Jian-hui ZHANG, Wei-gong KONG, Sen YANG, Lu-jia CAO

“…In the distributed software defined network，switch se1ects rigid migration object and has coordinating migration prob1ems.The prime switch migration scheme into two processes inc1uded se1ecting migration object and dep1oying switches dynamica11y was optimized，a switch competing migration a1gorithm was proposed based on process optimization.First1y，it synthesized de1ay，traffic and fai1ure cost，and se1ected migration object.Then，according to surviva1 time，migration time and dynamic 1oad thresho1d of contro11er，switches were migrated into object contro11er through iterative competition.Resu1ts show that compared with the existed migration a1gorithms the proposed a1gorithm se1ects more reasonab1e migration objects，avoiding migration conf1ict between switches，and contro11er 1oad ba1ancing rate has been promoted to 25.6% average1y.…”
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Design Optimization of Coronary Stent Based on Finite Element Models by Hongxia Li, Tianshuang Qiu, Bao Zhu, Jinying Wu, Xicheng Wang

“…Thrombosis models of three typical shapes are built to test the effectiveness of optimization results. Numerical results show that two finite element models dilated by pressure applied inside the balloon are available, one of which with the artery and plaque can give an optimal stent with better expansion behavior, while the artery and plaque unincluded model is more efficient and takes a smaller amount of computation.…”
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Learning to Drive in the NGSIM Simulator Using Proximal Policy Optimization by Yang Zhou, Yunxing Chen

“…The results revealed that the PPO model outperformed the A2C model in the current task by collecting more rewards, traveling longer distances, and encountering less dangerous events during model training and testing. …”
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Maintaining optimal physical activity of patients following cardiac rehabilitation by Anna L. Persiyanova-Dubrova, Marina G. Bubnova, David M. Aronov, Inna F. Matveeva

“…Increased PA is associated with a lower coronary risk and decreased overall mortality in patients with a history of myocardial infarction. However, optimal PA achieved during cardiac rehabilitation gradually decreases afterward. …”
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Reward in Cash or Coupon? Joint Optimization of Referral Reward and Pricing by Fenfen Jiang, Shue Mei, Weijun Zhong

“…With the increase in the unit referral cost, a firm will be more inclined to use the joint strategy of coupon reward and a low price followed by a high price strategy. …”
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Rolling Bearing Fault Diagnosis Based on SCNN and Optimized HKELM by Yulin Wang, Xianjun Du

“…A stochastic pooling layer, based on a Bernoulli distribution, was introduced to retain more spatial feature information while ensuring feature diversity. …”
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Optimized Extraction of Polyphenols from Kiwifruit Peels and Their Biological Activities by Batoul Shkeir, Nada El Darra, Bilal Azakir, Salma Khazaal, Elie Salem Sokhn, Mohamed Koubaa, Richard G. Maroun, Nicolas Louka, Espérance Debs

“…This indicates that IR was more efficient in extracting phenolics from kiwi peels. …”
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Optimal Selection of Steel and Concrete Structures using ELECTERE Method by Fatemeh Behdadfar, Gholam Reza Abdolah Zadeh

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Optimizing Supply Chain Management in the Confectionery Industry with Odoo 16 by I Gede Yogi Krisna Mahendra, Anak Agung Hary Susila, Dwi Putra Githa

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The Multiobjective Control Based on Tolerance Optimization in a Multienergy System by Suliang Ma, Yaxin Li, Yuan Jiang, Yiwen Wu, Guanglin Sha

“…Combining the shape of the Pareto frontier, it is demonstrated that the proposed method can comprehensively consider the needs of multiple power optimization objectives for forming a more reasonable and effective system optimization scheduling and also provide a new approach for solving multiobjective optimization problems.…”
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Optimization of drying and extraction techniques for volatile compounds in banana pseudostem by Pantea Salehizadeh, Martin Bucknall, George Srzednicki, Robert Driscoll, Mehdi Hajikhani

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Improved marine predators algorithm for engineering design optimization problems by Ye Chun, Xu Hua, Chen Qi, Ye Xin Yao

“…The results indicate that the IMPA has achieved significant success in the optimization process over other methods, exhibiting excellent performance in both solving optimal parameter solutions and optimizing objective function values. …”
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Optimizing Vehicle Routing for Perishable Products with Time Window Constraints: by Rifqi Fauzi, Adi Priansyah, Paskalis Krisna Puspadewa, Syifa Maulvi Zainun Awal, Huu Tho Nguyen, Achmad Pratama Rifai

“…Based on four cases, ALNS is the most effective method among the three methods in optimizing bread distribution. It was averagely 33.02% more efficient than SA and 57.21% than GA for minimizing travel distance and offering a robust solution, improving delivery efficiency across different case scenarios. …”
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Optimized Driver Placement for Array-Driven Flat-Panel Loudspeakers by David A. ANDERSON, Michael C. HEILEMANN, Mark F. BOCKO

“…The recently demonstrated ‘modal crossover network’ method for flat panel loudspeaker tuning employs an array of force drivers to selectively excite one or more panel bending modes from a spectrum of panel bending modes. …”
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Analysis and Optimization of Interpolation Points for Quadruped Robots Joint Trajectory by Mingfang Chen, Kaixiang Zhang, Sen Wang, Fei Liu, Jinxin Liu, Yongxia Zhang

“…Subsequently, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) for the points selection are used to obtain a more precise trajectory. …”
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