UM-YOLOv10: Underwater Object Detection Algorithm for Marine Environment Based on YOLOv10 Model by Rengui Mai, Ji Wang

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Landslide Forecasting Model Based on PCA and Improved CS-RBF by WANG Lianxia, LI Limin, FANG Zihao, REN Ruibin, FU Zhentao, CUI Chengtao

“…Various models including back propagation (BP), RBF, genetic algorithm-RBF (GA-RBF), CS-RBF, and others are compared with the improved CS-RBF model through experimental analysis. …”
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Retracted: Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Model Improvement by null Complexity

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Integrating Machine Learning Algorithms: A Hybrid Model for Lung Cancer Outcome Improvement by Pradnyawant M. Gote, Praveen Kumar, Hemant Kumar, Prateek Verma, Moses Makuei Jiet

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Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms by Alejandro Kevin Méndez Castillo, Elizabeth Contreras López, Jesús Guadalupe Pérez Flores, Laura García Curiel, Emmanuel Pérez Escalante, Karla Soto Vega, Carlos Ángel-Jijón, Alicia Cervantes Elizarrarás

“… This research aimed to automate the fitting of kinetic models using genetic algorithms (GAs) to optimize the estimation of kinetic parameters—the reaction rate constant (k) and the initial value of total titratable acidity (TTA, C₀)—and enhance predictive accuracy. …”
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Genetic algorithm efficiency improvement in the course of set cover problem solution by I. S. Konovalov, V. A. Fatkhi, V. G. Kobak

“…One of the ways to solve the covering problem is described, it is a genetic algorithm. The authors use a modification of the Goldberg model and try to increase its efficiency through various types of mutation and crossover operators. …”
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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…The effectiveness of the improved MRP-YOLO algorithm is verified using the NEU-DET industrial surface defect dataset. …”
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Error Status Evaluation Method for Protection Measurement Circuit Based on Improved ED and CM-BPNN Algorithms by Yawen YI, Jingpu ZHAO, Can LIU, Xinxin JIANG, Fangjiu LI, Zhenxing LI

“…This paper proposes an error status evaluation method for substation protection measurement circuit based on improved ED and CM-BPNN algorithms. Firstly, the normalization principle of different index data is formulated for the measurement data. …”
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Optimization Performance and Efficiency Improvement of Microgrid Scheduling Model by Honggang JIA, Zhuding WANG, Yuanyuan YUE, Huan YAN, Na YAN, Qiangfei CAO

“…For the optimal management of microgrid, this paper proposes a microgrid optimal scheduling strategy based on adaptive hybrid differential evolution algorithm. First of all, considering the cost of electricity charges, the cost of energy storage regulation, the user’s inappropriate cost and the benefit of response subsidies, an optimization model with the goal of minimizing the daily comprehensive power consumption cost is established; Then, aiming at the problem that the global optimization ability of the standard differential evolution algorithm is insufficient and the solution efficiency needs to be improved, the scaling factor and crossover operator are optimized and improved to form an adaptive hybrid differential evolution algorithm; Finally, taking the micro grid system as an example, the operation optimization of energy storage and demand response and the comparative analysis of calculation examples are carried out.The results show that the proposed method is suitable for multi scenario computing and has high optimization performance and solving efficiency.…”
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Performance and improvement of deep learning algorithms based on LSTM in traffic flow prediction by Wei Xu, Eric Blancaflor, Mideth Abisado

“…This paper introduces an improved LSTM (Long Short-Term Memory) algorithm and sliding window technology to improve the accuracy and stability of traffic flow prediction. …”
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Application of Improved Sage-Husa Algorithm in SINS/GPS Integrated Navigation by WEN Sheng, LIU Caiyun, LUAN Tiantian, SUN Mingxiao

“…It effectively suppresses filter divergence and maintains excellent filtering performance, even when faced with model error and coarse interference. Furthermore, when applied in combined navigation systems, the algorithm showcases improved stability and positioning accuracy.…”
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An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model by Xiaofei Yang, Qiao Li, Honghui Li, Hao Zhou, Jinyan Zhang, Xueliang Fu

“…Gradient Boosting Machine (GBM) model parameters were optimized using a hybrid strategy improved Elephant Herd Optimization (EHO) algorithm (CDE-EHO) that combines Differential Evolution (DE) and Cauchy Mutation (CM). …”
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Combining Transfer Learning and Ensemble Algorithms for Improved Citrus Leaf Disease Classification by Hongyan Zhu, Dani Wang, Yuzhen Wei, Xuran Zhang, Lin Li

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Environmental Impact Minimization Model for Storage Yard of In-Situ Produced PC Components: Comparison of Dung Beetle Algorithm and Improved Dung Beetle Algorithm by Jeeyoung Lim, Sunkuk Kim

“…As a result of applying the developed model, the optimization of the improved dung beetle optimization algorithm was verified to be efficient by improving the neighboring correlation by 22.79% and reducing carbon dioxide emissions by 18.33% compared to the dung beetle optimization algorithm. …”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…Firstly, it proposes SFD-YOLOv8, a novel lightweight algorithm tailored for UAV applications. Secondly, it introduces the Dilation-wise Residual (DWR) attention module and FasterBlock module to optimise feature extraction and improve model efficiency. …”
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Model of Effective Business Formation by V. G. Khalin, G. V. Chernova, S. A. Kalayda

“…The authors propose a model for the formation of an effective business, using Pareto optimality and implemented on the basis of two developed Algorithms, which is illustrated by a numerical example.…”
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Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model by Kerang Cao, Chang Liu, Siqi Yang, Yuxin Zhang, Lili Li, Hoekyung Jung, Shuo Zhang

“…In order to predict it more accurately, this paper proposes a cardiovascular disease prediction model that combines multiple feature selection, improved particle swarm optimization algorithm, and extreme gradient boosting tree. …”
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Data Decomposition Modeling Based on Improved Dung Beetle Optimization Algorithm for Wind Power Prediction by Jiajian Ke, Tian Chen

“…The IDBO algorithm is then utilized to improve the hyperparameters of the MHA-BiLSTM model. …”
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Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm by Hui Dong

“…Based on the standard particle filtering algorithm, an improved auxiliary traceless particle filtering algorithm is proposed. …”
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Hysteresis Parameter Identification of J-A Model Current Transformer Based on Improved Whale Algorithm by Yilun LI, Yishu ZHANG, Guang SONG

“…With regard to the difficulties in measuring the input and output of the existing J-A model parameters in addition to the slow convergence speed and low accuracy of the extraction method, a parameter extraction method of the ψ-i JA hysteresis model based on the improved whale algorithm is proposed in this paper. …”
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