Weight-Based Clustering Decision Fusion Algorithm for Distributed Target Detection in Wireless Sensor Networks by Haiping Huang, Lei Chen, Xiao Cao, Ruchuan Wang, Qianyi Wang

“…Consequently, this paper proposes a novel Weight-based Clustering Decision Fusion Algorithm (W-CDFA) to detect target signal in wireless sensor network. …”
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Investigating the Performance of Open-Vocabulary Classification Algorithms for Pathway and Surface Material Detection in Urban Environments by Kauê de Moraes Vestena, Silvana Phillipi Camboim, Maria Antonia Brovelli, Daniel Rodrigues dos Santos

“…Our findings highlight both the potential and limitations of current open-vocabulary algorithms and emphasize the importance of diverse training datasets. …”
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Data-Driven Optimization for Low-Carbon Prefabricated Components Production Based on Ant Colony Algorithms by Chun-Ling Ho, Chien-Chih Wang, Shenjun Qi, Zichen Zhang

“…This study initially examines the development and current status of prefabricated concrete component factories in Fujian Province, focusing on regional distribution and production conditions. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. …”
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Algorithm of software package of intellectual decision support when designing cyber security system at the enterprise by E. A. Vitenburg, A. V. Nikishova

“…Research objectives are as follows: to develop an algorithm and a mathematical model of the software package for intellectual decision support.Materials and Methods. …”
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Preliminary Evaluation of an Advanced Ventilation-Control Algorithm to Optimise Microclimate in a Commercial Broiler House by Kehinde Favour Daniel, Lak-yeong Choi, Se-yeon Lee, Chae-rin Lee, Ji-yeon Park, Jinseon Park, Se-woon Hong

“…This study aims to improve the microclimate conditions in a mechanically ventilated broiler house by proposing and evaluating a ventilation-control algorithm based on heat-energy balance analysis. The new algorithm is designed to optimise the ventilation-rate requirement and thereby improve control of the indoor temperature. …”
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Optimizing Cloud Computing Performance With an Enhanced Dynamic Load Balancing Algorithm for Superior Task Allocation by Raiymbek Zhanuzak, Mohammed Alaa Ala'Anzy, Mohamed Othman, Abdulmohsen Algarni

“…Unlike benchmark algorithms that rely on static VM selection or post-hoc relocation of cloudlets, the EDLB algorithm dynamically identifies optimal cloudlet placement in real-time. …”
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LG-YOLOv8: A Lightweight Safety Helmet Detection Algorithm Combined with Feature Enhancement by Zhipeng Fan, Yayun Wu, Wei Liu, Ming Chen, Zeguo Qiu

“…Addressing the issues of high parameter values and sluggish detection speed in current safety helmet detection algorithms, a feature-enhanced lightweight algorithm, LG-YOLOv8, was introduced. …”
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Solving Maxwell Equations in Hybrid Electrical Vehicle to Optimal Design by Multi-Objective Optimization Algorithms by Abdulaziz Alkuhayli, Aymen Flah, Alireza Hosseinpour, Claude Ziad El-Bayeh, Lukas Prokop, Vojtech Blazek

“…Hybrid Electrical Vehicles (HEVs) have three magnetic field sources: armature winding currents; permanent magnets; and field winding current. …”
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Study and Implementation of Multi-GPU Parallel Algorithm for 3D Borehole Acoustic Field Simulation by WANG Hua, HE Weibing, QIANG Xiaoyong, WANG Qiang, HUANG Fang, LI Meng

“…The results demonstrate that the algorithm achieves a speedup of 8.93 for small-scale models on a single GPU and a speedup of up to 9.95 for large-scale models when using four GPUs. …”
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An Auto-Adjusting Algorithm to Enhance Indoor Localization Accuracy: A Real-Time Experimental Analysis by Othman A. Alfahad, Husham Saied, Emad Malaekah, Ahmed Al Rashdi, Mohammed Emam, Mohsen Bakouri

“…In this study, our aim is to develop an auto-adjusting algorithm to select coefficients based on the current automatically Received Signal Strength Indicator (RSSI) class. …”
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VERIFICATION OF THE PARSEC METHOD AND OPTIMIZATION OF NACA-4412, SG-6043 USING GENETIC ALGORITHM IN MATLAB by Raheem Alhamdawee, M. Manzoor Hussain

“…Of all the PMS methods that are currently available in the literature, PARSEC marks itself out as the best fitting. …”
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Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective by Shirui Yu, Aihua Li, Yifei Chen, Dechao Wang, Xiaoli Tang

“…Deep learning frameworks are the current focus of these algorithms. Interpretation: This survey helps the understanding of heterogeneous network algorithms and envisions to provide a universal reference and guideline for heterogeneous network data mining tasks in the field of biomedicine.…”
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Method for calculating porosity in tight sandstone reservoir thin sections based on ICSO intelligent algorithm by Tao Liu, Zongbao Liu, Kejia Zhang, Feng Tian, Yan Zhang, Ruixue Zhang, Cuiyun Xu, Fang Liu, Xiaowen Liu, Haoran Wang, Mengning Mu

“…Surface porosity is crucial for evaluating tight sandstone reservoirs' performance and resource potential. The current manual calculation and algorithm extraction methods have problems such as heavy workload, long time consumption, low accuracy in identifying complex pore morphologies, and weak learning ability for sparse samples. …”
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Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm by Ke Wu, Yuefa Guo, Ke Wang, Zhenliang Chen

“…In addition, a comparative study with traditional particle swarm and genetic algorithms demonstrates that the HOA, by incorporating adaptive mechanisms for both search space resolution and speed adjustment, enhances both global exploration and local exploitation, effectively avoiding local optima traps. …”
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An Adaptive Layering Dual-Parameter Regularization Inversion Method for an Improved Giant Trevally Optimizer Algorithm by Chao Tan, Menghao Sun, Wei Liu, Wenrui Tan, Xiaoling Zhang, Chengang Zhu, Da Li

“…Secondly, a dual-parameter regularization method is utilized to construct the inversion objective function, addressing the problem of inversion multiplicity caused by the increase in inversion parameters due to the increased layering numbers. Subsequently, the current model parameters of the inversion objective function are optimized using the Giant Trevally Optimizer (GTO) algorithm, improved by the Particle Swarm Optimization (PSO) algorithm. …”
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Reference Point and Grid Method-Based Evolutionary Algorithm with Entropy for Many-Objective Optimization Problems by Qi Leng, Bo Shan, Chong Zhou

“…As the count of objective functions rises to four or beyond, the problem’s complexity intensifies considerably, often making it challenging for traditional algorithms to arrive at satisfactory solutions. The non-dominated sorting evolutionary reference point-based (NSGA-III) and the grid-based evolutionary algorithms (GrEA) are two prevalent algorithms for many-objective optimization. …”
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Systematic review to evaluate algorithms for REBOA use in trauma and identify a consensus for patient selection by Jonathan Nguyen, Andrew Beckett, Chance Spalding, Ernest E Moore, Bradley M Dennis, Jonathan James Morrison, John Hunt, Elizabeth Benjamin, Rishi Kundi, Juan Duchesne, Amelia Walling Maiga, Ryan Lawless, Rachel Russo

“…Published algorithms from 2015 to 2022 and institutional guidelines from a seven-center REBOA collaboration were compiled and synthesized.Results Ten published algorithms and seven institutional guidelines on REBOA patient selection were included. …”
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Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes by Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li

“…Here, we propose a novel deep-learning-based algorithm, Moanna, that is trained to integrate multi-omics data for predicting breast cancer subtypes. …”
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An equivalent modeling method for integrated water-wind-solar systems based on sparrow search algorithm by Yuanhong Lu, Jie Zhang, Jingyue Zhang, Libin Huang, Haiping Guo, Binjiang Hu, Tianyu Guo

“…This study proposes a cluster-based equivalent modeling approach for hybrid wind-solar-hydro power plants using the Sparrow Search Algorithm. Key factors influencing fault characteristics, including the distance to the Point of Common Coupling, DC-side current-limiting measures, irradiance levels, water flow rates, wind speeds, and reactive power at the outlet, are identified and used to construct a transient model. …”
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