Optimization of Photonic Nanocrystals for Invisibility Using Artificial Intelligence by Z. Dorrani

“…Photonic crystals, as microscopic structures with unique optical properties, are used in the design of invisibility systems. However, the design and optimization of these structures, especially with new methods like deep learning, have not been thoroughly investigated. …”
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Optimization of Ultrasonic Welding Parameters for Superior Wire Terminations by Sivakorn Angthong, Rapee Kanchana, Voraya Wattanajitsiri, Kittipong Kimapong, Kaona Jongwuttanaruk

“…This research focuses on optimizing ultrasonic welding parameters to enhance wire terminations, which are crucial for automotive electrical systems. …”
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A Hybrid Optimization Approach for Residential Energy Management by Yantai Huang, Jinjiang Zhang, Yujie Mo, Shuijin Lu, Junchao Ma

“…The discrete variables are optimized by using a particle swarm optimization (PSO) algorithm, whilst the continuous variables are determined by using a gradient-based deterministic algorithm. …”
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Factors of constructive process optimization in velocity-layer devices by Nadezda A Gil, Victor P. Zharov, Evgeny A. Smekhunov

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Effective Modeling of Photovoltaic Modules Using Sailfish Optimizer by Mohammed Bilal Danoune, A. Djafour, Youcef Rehouma, A. Degla, Zied Dress

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Selection Optimization of Variable Pitch Motor Based on Load by LIU Runrui, YU Yong, LI Tao, LIU Zhe, LI Gaoyu

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Optimizing Circuit Reusing and its Application in Randomized Benchmarking by Zhuo Chen, Guoding Liu, Xiongfeng Ma

“…This work investigates the optimal reusing times that minimizes the variance of measurement outcomes for a given experimental cost. …”
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Safe Switching Model-Free Value Iteration for General Nonlinear Systems by Timotei Lala

“…This paper presents a solution to the well-known challenge of ensuring safety guarantees during the evaluation of controllers tuned using Value Iteration (VI) techniques on real systems. We propose an approach called Safe Switching Model-Free Value Iteration (SSMFVI), which guarantees both stability and safety of a system in closed loop with a controller optimized with Value Iteration in a model-free manner. …”
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Model-Based Sequential Design of Experiments with Machine Learning for Aerospace Systems by Tim Gerling, Kai Dresia, Jan Deeken, Günther Waxenegger-Wilfing

“…Traditional experimental design methods often face challenges in handling complex aerospace systems due to the high dimensionality and nonlinear behavior of such systems, resulting in nonoptimal experimental designs. …”
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Optimization of Thermoreversible In Situ Nasal Gel of Timolol Maleate by Swati Jagdale, Nirupama Shewale, Bhanudas S. Kuchekar

“…The aim of the present study was to optimize controlled release in situ nasal delivery for timolol maleate. …”
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Optimization of network device hardening in a multivendor environment by Ali Bello Imoukhuede, Tarek Rahil Sheltami, Asharf Hasan Mahmoud, Abdulaziz Yagoub Barnawi

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Modern trends in the optimization of managerial processes at manufacturing enterprises by I. A. Guzhin

“…The relevance of the topic is determined by the fact that traditional methods often lose their effectiveness, necessitating the implementation of new technologies, adaptive approaches, and the integration of various optimization systems. Despite a significant number of studies dedicated to this issue, the scientific community still debates the priority directions of optimization: some authors emphasize digital solutions and automation, others focus on flexible management schemes, while a third group highlights lean manufacturing and economic security. …”
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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…Optimizing complex systems usually involves costly and time-consuming experiments, where selecting the experiments to perform is fundamental. …”
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Unsteady Flow Mechanisms of the Stability Improvement for an Optimized Compressor by T. Zhou, Z. X. Liu, X. J. Li, M. Zhao, Y. J. Zhao, L. C. Xu

“…In this study, a collaborative optimization of the P-S and the impeller-diffuser is firstly carried out. …”
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Multimodal Lotus Effect Algorithm for Engineering Optimization Problems by Elham Dalirinia, Mahdi Yaghoobi, Hamid Tabatabaee, Swati Chandna, Mehrdad Jalali

“…ABSTRACT Multimodal optimization problems (MMOPs) are critical in fields like game theory and robotics, where identifying multiple optimal solutions simultaneously is essential, yet challenging due to the need for effective global exploration and precise localization of optima. …”
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SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS by A. V. Panteleev, M. D. Evdokimova

“…An important stage in problem solving process for aerospace and aerostructures designing is calculating their main characteristics optimization. The results of the four constrained optimization problems related to the design of various technical systems: such as determining the best parameters of welded beams, pressure vessel, gear, spring are presented. …”
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Memory-optimized distributed utility mining for big data by Sunil kumar, Krishna Kumar Mohbey

“…However, these approaches are limited to data size and operate on standalone systems. We have proposed a parallel approach named distributed memory-optimized utility mining (DMOUM) for high utility-based frequent pattern mining to address this issue. …”
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Optimization of apple juice dosage in the recipe of bakery products by M. A. Ivanova, V. A. Demchenko, E. V. Tambulatova, N. N. Kravchenko

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Effects of Decision Variables Selection on Sewer Optimization Problem by Tulin Cetin, Mustafa Erkan Turan, Mumin Emre Senol

“…This paper presents the study of decision variables selection in the optimization of sewer network systems. A mathematical model is presented that considers an objective of minimizing the total cost of sewer network comprising all pipe costs, manhole costs, and excavation cost. …”
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Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…To tackle this issue, we introduce "Beyond Orion," a novel lossless compression method designed to optimize data compression in IoT systems. The algorithm employs advanced techniques such as Lempel Ziv-Welch and Huffman encoding, while also integrating strategies like pipelining, parallelism, and serialization for greater efficiency and lower resource usage. …”
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