An efficient and high-performance WSNs restoration algorithm for fault nodes based on FT in data aggregation scheduling by Cheng Li, Guoyin Zhang

“…Thus, an efficient and high-performance WSNs restoration algorithm is proposed based on fat tree(FT), which is referred to as the EPRA-FT algorithm. …”
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A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization by Xiangjuan Wu, Yuping Wang, Ziqing Wang

“…It is very challenging to design efficient algorithms for LSMOPs to search the whole space effectively and balance the convergence and diversity at the same time. …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Since one of the most critical aspects in this computational consume is the available dataset, among others, in this paper we perform a study of the effect of using different partitions of a dataset in the hyperparameter optimization phase over the efficiency of a Machine Learning algorithm. Nonparametric inference has been used to measure the rate of different behaviors of the accuracy, time, and spatial complexity that are obtained among the partitions and the whole dataset. …”
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Feasibility of using a novel automatic cardiac segmentation algorithm in the clinical routine of lung cancer patients. by Robert Neil Finnegan, Lucia Orlandini, Xiongfei Liao, Jun Yin, Jinyi Lang, Jason Dowling, Davide Fontanarosa

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Methods, Techniques, and Algorithms of Synchronous Multi-Zone Modulation of Signals of Voltage Source Inverters (literature review) by Oleschuk V., Tirsu M.

“…It is shown that the developed schemes and algorithms of synchronous space-vector modulation applied for control of inverter-based systems provide continuous synchronization and symmetry of the basic voltage waveforms of systems during the whole control range. …”
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Root Crack Identification of Sun Gear in Planetary Gear System Combining Fault Dynamics with VMD Algorithm by Hongwei Fan, Yiqing Yang, Hongwei Ma, Xuhui Zhang, Xiang Wan, Xiangang Cao, Qinghua Mao, Chao Zhang, Qi Liu

“…A Variational Mode Decomposition (VMD) algorithm for the vibration frequency extraction is proposed. …”
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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

“…This work breaks the bottleneck of privacy amplification in high-speed continuous-variable QKD (CVQKD), and thus contributes to the real-time performance of the whole CVQKD system.…”
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Research on Space Targets Simulation Modulation Algorithm Combined Global–Local Multi-Spectral Radiation Features by Yu Zhang, Songzhou Yang, Zhipeng Wei, Jian Zhang, Bin Zhao, Dianwu Ren, Jingrui Sun, Lu Wang, Taiyang Ren, Dongpeng Yang, Guoyu Zhang

“…It is one of the few multi-spectral target simulation modulation algorithms worldwide that can combine the global whole and local details. …”
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5G-Practical Byzantine Fault Tolerance: An Improved PBFT Consensus Algorithm for the 5G Network by Xin Liu, Xing Fan, Baoning Niu, Xianrong Zheng

“…The consensus algorithm is the core technology of blockchain systems to maintain data consistency, and its performance directly affects the efficiency and security of the whole system. …”
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Hydrothermal Economic Dispatch Incorporating the Valve Point Effect in Thermal Units Solved by Heuristic Techniques by Katherine Hernández, Carlos Barrera-Singaña, Luis Tipán

“…Two nature-inspired optimizers, the Bat Algorithm (BAT) and the Artificial Bee Colony (ABC) algorithm, were used on a 24 h horizon for nine unit power plants (five thermal, four hydro). …”
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Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems by Fevzi Çakmak, Zafer Aydoğmuş, Mehmet Rıda Tür

“…In this paper, a novel intelligent hybrid fuzzy logic-controlled maximum power point tracking algorithm founded on the perturb and observe (PO) algorithm is presented. …”
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Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm by Mohit Sharma, Ayush Dogra, Bhawna Goyal, Anita Gupta, Manob Jyoti Saikia

“…Finally, a non-local means algorithm refines the denoised image by computing weighted averages of pixel intensities and prioritizing neighbourhood similarity over spatial proximity to effectively preserve edges and textures while reducing Gaussian noise. …”
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Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach by Sogand Soghrati Ghasbeh, Nadia Pourmohammadzia, Masoud Rabbani

“…This model aims to create a relief network that chooses distribution centers with the highest value while maximizing equity and minimizing response time. …”
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Research on Multi-Center Path Optimization for Emergency Events Based on an Improved Particle Swarm Optimization Algorithm by Zeyu Zou, Hui Zeng, Xiaodong Zheng, Junming Chen

“…Case studies were conducted to evaluate the feasibility and effectiveness of both the proposed model and the algorithm. Results indicate that the model accurately reflects the dynamics of emergency logistics operations, while the hybrid algorithm exhibits strong local optimization capabilities and robust performance in handling diverse and complex scenarios. …”
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Four-dimensional Drone Cluster Route Planning under the Constraint of Simultaneous Multi-objective Arrival by DONG Chengbo, CHEN Enmin, YANG Kun, WEI Donghui

“…The optimal target allocation part is realized through the Hungarian algorithm, and drones’ velocity segmented matrix is given by Anti-collision algorithm. …”
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Solving the Electric Share-A-Ride Problem Using a Hybrid Variable Neighborhood Search Algorithm by Vincent F. Yu, Sy Hoang Do, Pham Tuan Anh, Cheng-Ta Yeh

“…The MIP model provides optimal solutions for small E-SARP instances using the CPLEX solver, while the HVNS algorithm is designed to solve larger E-SARP instances. …”
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Autocomplete and Spell Checking Levenshtein Distance Algorithm To Getting Text Suggest Error Data Searching In Library by Muhamad Maulana Yulianto, Riza Arifudin, Alamsyah Alamsyah

“…The accuracy of Levenshtein algorithm is 86% based on 1055 source case and 100 target case.…”
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Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms by Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy

“…Despite this trade-off, the algorithm’s ability to minimize fleet size while fully utilizing vehicle capacity makes it the optimal choice in scenarios where these factors are critical. …”
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TIRDH: A Novel Three-Shadow-Image Reversible Data Hiding Algorithm Using Weight and Modulo by Li-Chian Chin, Yu-Chen Li, Hung-Mo Hsieh, Chung-Ming Wang

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Enhanced Multi-Threshold Otsu Algorithm for Corn Seedling Band Centerline Extraction in Straw Row Grouping by Yuanyuan Liu, Yuxin Du, Kaipeng Zhang, Hong Yan, Zhiguo Wu, Jiaxin Zhang, Xin Tong, Junhui Chen, Fuxuan Li, Mengqi Liu, Yueyong Wang, Jun Wang

“…The experimental results show that SADE-WOA accurately separates soil regions while preserving straw texture, achieving higher between-class variance and significantly faster convergence than the other tested algorithms. …”
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