An End-to-End Ocean Environmental Noise Anomaly Detection Framework Combining Time–Frequency Information and Expert Gating by Libin Du, Mingyang Liu, Zhichao Lv, Chuanhe Tan, Junkai He, Fei Yu

“…Finally, an anomaly optimization module is developed to improve data quality, enabling efficient noise anomaly detection and optimization. …”
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Numerical Investigation of Performance Improvement and Erosion Characteristics of Vortex Pump Using Particle Model by Daoxing Ye, Hao Li, Qiuyan Ma, Qibiao Han, Xiulu Sun

“…The performance after optimization is significantly improved compared with the original prototype. …”
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Efficiency of Sawdust as Low-Cost Adsorbent for Dyes Removal by R. Chikri, N. Elhadiri, M. Benchanaa, Y. El maguana

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Study of thermal management system for battery box for formula student electric racing car by Yawen Han, Yuxing Bai, Weixin Zhang, Song Cui, Liguo Zang, Liguo Zang, Hongshan Ding

“…Additionally, the optimized system achieves a more uniform temperature distribution across the battery pack, outperforming the pre-optimization design in all evaluated metrics. …”
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Multiobjective Salp Swarm Algorithm Approach for Transmission Congestion Management by Anjali Agrawal, Seema N. Pandey, Laxmi Srivastava, Pratima Walde, R. K. Saket, Baseem Khan

“…The by-products of the proposed algorithm for multiobjective optimization are minimized demand reduction, optimum size, and location of DG. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…The results of computational experiments revealed the ability of very simple quantum circuits to classify data without optimization. Comparative indicators of classification quality are obtained without the use of optimization, as well as with its use. …”
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Research on Application of Dredging Technology for Steel Pipe Pile Under Complex Sea Conditions in Deep Sea by Jianjun CHEN

“…Finally, the dredging process could be further improved from three aspects: process optimization, equipment optimization and design optimization. …”
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A WeChat-Based System of Real-Time Monitoring and Alarming for Power Grid Operation Status under Virtual Private Cloud Environment by Chunjie Lian, Hua Wei, Xiaoqing Bai, Zhongliang Lyu

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A Generalized Bridge Regression in Fuzzy Environment and Its Numerical Solution by a Capable Recurrent Neural Network by Delara Karbasi, Mohammad Reza Rabiei, Alireza Nazemi

“…So, we perform the presented optimization problem for the model that leads to a multiobjective program. …”
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The Impact of Reich’s Vegetotherapy on Emotional Regulation and Postural Balance in Military Personnel: A Non-Pharmacological Approach to Combat Stress by Sana Khadhrani, Imed Touhemi, Amri Hammami, Chiraz Goumni, Jihen Khalfoun, Mohanad Omar, Rebai Haithem, Abderraouf Ben Abderrahman

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Efficiency Evaluation of Construction of Steam-Turbine Power Plants at Industrial Enterprises by A. L. Starzhinsky

“…It is shown that application of own power stations at an industrial enterprise is considered as an expedient one if there is an availability of thermal power sources because value of an optimization criterion exceeds corresponding optimization criterion by 2.1-4.6 fold when an enterprise is supplied with power only from power system networks.…”
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Reduction of Multidimensional Image Characteristics Based on Improved KICA by Jia Dongyao, Ai Yanke, Zou Shengxiong

“…Meanwhile, the optimization effect evaluation method based on Amari error and average correlation degree is presented in this paper. …”
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Chaotic Fruit Fly Algorithm for Solving Engineering Design Problems by M. A. El-Shorbagy

“…The aim of this article is to present a chaotic fruit fly algorithm (CFFA) as an optimization approach for solving engineering design problems (EDPs). …”
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Cell on Wheels-Unmanned Aerial Vehicle System for Providing Wireless Coverage in Emergency Situations by Hazim Shakhatreh, Khaled Hayajneh, Khaled Bani-Hani, Ahmad Sawalmeh, Muhammad Anan

“…We utilize the exhaustive search (ES) and particle swarm optimization (PSO) algorithms to solve the optimization problem. …”
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Training Neural Networks with a Procedure Guided by BNF Grammars by Ioannis G. Tsoulos , Vasileios Charilogis

“…For the effective identification of the parameters of the artificial neural networks, a series of optimization techniques have been proposed in the relevant literature, which, although they present good results in many cases, either the optimization method used is not efficient and the training error of the network is trapped in sub-optimal values, or the neural network exhibits the phenomenon of overfitting which means that it has poor results when applied to data that was not present during the training. …”
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Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control by Fevrier Valdez, Juan Carlos Vazquez, Fernando Gaxiola

“…A novel approach applied to Particle Swarm Optimization (PSO) and Ant Colony Optimization is presented. …”
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Path Planning for a Space-Based Manipulator System Based on Quantum Genetic Algorithm by Zhengcang Chen, Weijia Zhou

“…We then adopt a quantum genetic algorithm (QGA) to solve this objective optimization problem to attain the optimized trajectories of the joints and then execute nonholonomic path planning. …”
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Highly Efficient and achromatic mid-infrared silicon nitride meta-lenses by Abdullah Maher, Mohamed A. Swillam

“…Abstract Inverse design with topology optimization considers a promising methodology for discovering new optimized photonic structure that enables to break the limitations of the forward or the traditional design especially for the meta-structure. …”
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Dynamic Trajectory Planning for Automated Lane Changing Using the Quintic Polynomial Curve by Yang Li, Linbo Li, Daiheng Ni

“…The problem of solving the parameters of the corresponding equation is then transformed into an optimization problem, which takes driver’s safety, comfort, and efficiency into account. …”
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Knee Point Search Using Cascading Top-k Sorting with Minimized Time Complexity by Zheng Wang, Shian-Shyong Tseng

“…And in each step an optimization problem of the selection number k is solved, where the objective function is defined as the expected time cost. …”
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