Numerical simulation and optimization for dynamic responses of floating hoses in CALM system by Ke HU, Chen AN, Aixia ZHANG, Kexin CHEN, Xianjing BAI

“…Subsequently, the genetic algorithm was leveraged to facilitate the optimization of floating hose configurations, leading to a multi-objective optimized design aimed at minimizing effective tension and curvature. …”
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Dynamic Optimization of Recurrent Networks for Wind Speed Prediction on Edge Devices by Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Muhammad Asim, Samia Allaoua Chelloug, Mohammed A. ELAffendi

“…Server-dependent machine learning models, commonly deployed in wind farms, prove infeasible for domestic systems due to high costs and energy demands. While edge computing offers a viable alternative, current WSP methods prioritize hyperparameter optimization without constraining model size (MS), resulting in memory-intensive architectures incompatible with resource-limited devices. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

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The Optimization of Stand Structure Can Significantly Alleviate the Flammability of Forest Ecosystems by Yan Zhang, Xiangwen Deng, Xiaoyong He, Xiaolong Zhang, Zhihong Huang, Liang Chen, Shuai Ouyang, Wenhua Xiang

“…Rutaceae and Cucurbitaceae plants exhibited relatively high flammability, while Arecaceae plants demonstrated characteristics of low flammability. …”
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Entire aerial-aquatic trajectory modeling and optimization for trans-medium vehicles by Teng Long, Nianhui Ye, Baoshou Zhang, Jingliang Sun, Renhe Shi

“…Simultaneously, several constraints, i.e., the max impact load, trajectory height, etc., are involved in the optimization problem. Rather than directly optimizing by a heuristic algorithm, a multi-surrogate cooperative sampling-based optimization method is proposed to alleviate the computational complexity of the entire trajectory optimization problem. …”
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Topology optimization of a cargo gripper design using the minimum effort principle by Gnezdilov S.G.

“…The primary goal of the research is to enhance the stiffness and reliability of the structure while reducing its mass. The left gripper arm, subjected to complex loading conditions, is selected as the optimization object. …”
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Simultaneous Multi-Objective and Topology Optimization: Effect of Mesh Refinement and Number of Iterations on Computational Cost by Daniel Miler, Matija Hoić, Rudolf Tomić, Andrej Jokić, Robert Mašović

“…The multi-objective algorithm dynamically adjusts domain size, support locations, and load magnitudes during optimization. …”
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An optimized elliptic curve digital signature strategy for resource-constrained devices by Nawras H. Sabbry, Alla Levina

“…Abstract Ensuring robust security in resource-constrained environments, such as microcontrollers used in Unmanned Vehicle systems (UVS), poses significant challenges due to the computational and memory demands of cryptographic algorithms. This research addresses these challenges by proposing an optimized ECC digital signature method designed for such environments. …”
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Fast-converging decentralized alternating direction method of multipliers for consensus optimization by Jeannie He, Ming Xiao, Mikael Skoglund

“…Through theoretical analysis, we have shown that our algorithms inherit the well-established convergence properties of the classical centralized ADMM while keeping the computational and communication complexity for each node at $${\mathcal {O}}(1)$$ O ( 1 ) . …”
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Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining by Arbnor Pajaziti, Orlat Tafilaj, Afrim Gjelaj, Besart Berisha

“…We propose a method that integrates advanced algorithms to identify and eliminate redundant movements, optimize the toolpaths, and improve the machining strategies. …”
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Advanced strategies for the efficient optimization and control of industrial compressed air systems by D. Salomone-González

“…Real-time data transmission, powered by big data algorithms, enables continuous analysis to optimize the overall performance of the compressor plant. …”
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Memory-Saving Implementation of High-Speed Privacy Amplification Algorithm for Continuous-Variable Quantum Key Distribution by Dengwen Li, Peng Huang, Yingming Zhou, Yuan Li, Guihua Zeng

“…Here, we propose a novel privacy amplification scheme with an optimal hash function. In particular, by utilizing the linear feedback shift register (LFSR) technique, we optimize and simplify the construction of the Toeplitz matrix. …”
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Investigating the dynamics and uncertainties in portfolio optimization using the Fourier-Millen transform. by Muhammad Hilal Alkhudaydi, Aiedh Mrisi Alharthi

“…Investors will always look for a portfolio that can handle the required amount of risk while still producing the desired level of expected returns. …”
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MODEL FOR THE FORMATION OF A PROJECT TEAM COMPOSITION BASED ON DISCRETE OPTIMIZATION METHODS by S.M. Beketov, M.V. Dergachev, S.G. Redko

“…The paper examines existing approaches to team building and develops an algorithm that minimizes personnel costs while maintaining high efficiency. …”

Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…The proposed approach demonstrates promising results in accurately categorizing heartbeats, offering a potential solution to the limitations of current classification methods. By optimizing classification models with metaheuristic algorithms, such as JADE, the study achieves significant performance improvements, highlighting the effectiveness of integrating advanced optimization techniques into ECG analysis processes. …”
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Risk Management and Optimization of Artificial Intelligence in E-Commerce Personalization Systems by Ao Ting Liang

“…E-commerce has become the dominant marketplace, offering consumers a highly personalized shopping experience driven by AI-powered recommendation systems. While these systems enhance efficiency and targeting, they also raise significant concerns regarding data privacy, algorithmic biases, and user experience. …”
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The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

“…Abstract This study addresses key challenges in optimizing agricultural industry structures and facilitating intelligent transformation through the application of deep learning algorithms and advanced optimization techniques. …”
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Dynamic Optimization of Tunnel Construction Scheduling in a Reverse Construction Scenario by Jianying Wei, Yuming Liu, Xiaochun Lu, Rong Zhao, Gan Wang

“…Tunnel construction, a critical aspect of railway engineering, is a repetitive process with distinct linear characteristics. While the Linear Scheduling Method (LSM) is widely used for scheduling optimization in linear projects, it struggles to accommodate dynamic construction sequences, reverse construction, and flexible team allocation. …”
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Ant Colony Optimization Using Common Social Information and Self-Memory by Yoshiki Tamura, Tomoko Sakiyama, Ikuo Arizono

“…Ant colony optimization (ACO), which is one of the metaheuristics imitating real ant foraging behavior, is an effective method to find a solution for the traveling salesman problem (TSP). …”
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Hybrid MPPT Strategy: Optimizing SEIG Performance in Wind Energy Installation by Fadi Ouafia, Abbou Ahmed, Gaizen Soufiane

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