Research on the optimization of mortar mix proportion based on neural network models and genetic algorithm by Chunyu Jiang

“…The genetic algorithm is then applied to optimize the model’s predictions, yielding the optimal mix design. …”
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A lithofacies modeling method based on a new integrated algorithm and its application by LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin

“…At the same time, the algorithm is applied to the lithofacies modeling of D oilfield in Niger, and the average error of sand body probability is reduced by 30 %, which effectively improves the prediction accuracy of the sand body.…”
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Adaptive Variable Structure Interacting Multiple Model Tracking Algorithm for Hypersonic Glide Vehicle by Zhumu Fu, Dongfeng Wan, Zhikai Wang, Fazhan Tao

“…Therefore, this paper proposes an improved adaptive variable structure interacting multiple model tracking algorithm by analyzing the maneuvering characteristics of the target. …”
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Lightweight detection model for safe wear at worksites using GPD-YOLOv8 algorithm by Jian Xing, Chenglong Zhan, Jiaqiang Ma, Zibo Chao, Ying Liu

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Video Refereeing Model of Soccer Match Based on Fuzzy Clustering and Cuckoo Optimization Algorithm by Ting Wang, Jinglong Geng, Jing Wang, Xiao Yan

“…The enhanced algorithm model, enhanced cuckoo-fuzzy C-mean algorithm model, cuckoo-fuzzy C-mean algorithm model, and fuzzy C-mean algorithm model had delineation effects of 0.80, 0.72, 0.70, and 0.61, in that order. …”
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Implementation of a Second-Order TVD Transport Algorithm in the General Ocean Model (GOM) by Jungwoo Lee, Jun Lee, Sang-Leen Yun, Seog-Ku Kim

“…This study presents the implementation of a scalar transport algorithm in the recently developed General Ocean Model (GOM), a three-dimensional, unstructured grid, finite volume/finite difference model. …”
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Optimization Design Method of Pipe-Insulating Joints Based on Surrogate Model and Genetic Algorithm by Chen Guo, Zheng Yang, Jianbo Dong, Yanchao Yue, Linjun Tian, Ping Ma

“…This improves the computational efficiency of the optimization algorithm by establishing a surrogate model, which can be used to optimize the dimensions of insulation joints.…”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…These identified indicators were then employed to develop an intelligent soft detection model that integrates pipeline and environmental data, based on the K-Nearest Neighbor (KNN) and Random Forest algorithms. …”
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Predictive modeling of electrochromic performance in ammonium metatungstate solutions using machine learning algorithms by Bocheng Jiang, Honglong Ning, Muyun Li, Rihui Yao, Chenxiao Guo, Yucheng Huang, Zijie Guo, Dongxiang Luo, Dong Yuan, Junbiao Peng

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An Order-Independent Algorithm for Learning Chain Graphs by Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi

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Conflict-based strategy combined integrated optimal conflict avoidance algorithm by Kejin Jia, Cheng Peng, Yun Du, Hongwei Wen, Yufei Gao, Zhe Zhang

“…Next, the low-level model of the traditional CBS algorithm is improved, transforming the path search process into two distinct algorithms with different focuses. …”
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Research on the Intelligent Bus Scheduling System Based on Genetic Algorithm by LIU Jiguo

“…Aiming at the problem of bus scheduling optimization, it analyzed the bus line model and the hierarchical characteristics of different levels of bus lines, proposed a bus scheduling model based on genetic algorithm and established the objective function and constraints. …”
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Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response by Fengliang XU, Keqian WANG, Wenhao WANG, Peng WANG, Wenye WANG, Shuai ZHANG, Fengzhan ZHAO

“…Then, based on the characteristics of energy storage devices and incentive-based demand-side response resources at different time scales, it is proposed to use the improved VMD algorithm to make a multi-scale decomposition and combined reconstruction of the net load curves, and the improved whale optimization algorithm is used to solve the optimal allocation model with the objective of the minimum sum of the total system cost and active power fluctuation value. …”
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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

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Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering. by Xini Fang

“…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …”
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Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation by Tatsuki Hasegawa, Hayato Kizaki, Keisho Ikegami, Shungo Imai, Yuki Yanagisawa, Shuntaro Yada, Eiji Aramaki, Satoko Hori

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FP-YOLOv8: Surface Defect Detection Algorithm for Brake Pipe Ends Based on Improved YOLOv8n by Ke Rao, Fengxia Zhao, Tianyu Shi

“…This algorithm is developed based on the YOLOv8n framework with the aim of improving accuracy and model lightweight design. …”
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MSPB-YOLO: High-Precision Detection Algorithm of Multi-Site Pepper Blight Disease Based on Improved YOLOv8 by Xiaodong Zheng, Zichun Shao, Yile Chen, Hui Zeng, Junming Chen

“…Additionally, the introduction of the RepGFPN network structure enhances the model’s capability for multi-scale feature fusion, resulting in a marked improvement in multi-target detection accuracy. …”
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Improving Transformer Health Index Prediction Performance Using Machine Learning Algorithms with a Synthetic Minority Oversampling Technique by Muhammad Akmal A. Putra, Suwarno, Rahman Azis Prasojo

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A lightweight trichosanthes kirilowii maxim detection algorithm in complex mountain environments based on improved YOLOv7-tiny. by Zhongjian Xie, Xinwei Chen, Weilin Wu, Yao Xiao, Yuanhang Li, Yaya Zhang, ZhuXuan Wan, Weiqi Chen

“…The experimental results showed that the mean average precision of the improved network KPD-YOLOv7-GD reached 93.2%. Benchmarked against mainstream single-stage algorithms (YOLOv3-tiny, YOLOv5s, YOLOv6s, YOLOv7-tiny, and YOLOv8), KPD-YOLOv7-GD demonstrated mean average precision improvements of 4.8%, 0.6%, 3.0%, 0.6%, and 0.2% with corresponding model compression rates of 81.6%, 68.8%, 88.9%, 63.4%, and 27.4%, respectively. …”
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