A Heuristic Algorithm for Deploying Electric Taxi Charging Stations to Enhance Service Quality by Lingjie Li, Yu Zhang, Cheng Cheng, Hao Du, Shifu Liu

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Algorithm and analytical verification of roller straightening process model considering stress inheritance behavior by Xiaoyu Zhu, Jing Zhang, Zixing Cheng, Xiaogang Wang

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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

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Enhancing machine learning performance in cardiac surgery ICU: Hyperparameter optimization with metaheuristic algorithm. by Ali Bahrami, Morteza Rakhshaninejad, Rouzbeh Ghousi, Alireza Atashi

“…We utilized Simulated Annealing (SA) and Genetic Algorithm (GA) to tune the hyperparameters of the ML models constructing the ensemble. …”
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Analysis of the operation of the algorithm for processing the image of a solar panel to assess its dustiness by A. A. Albagoush

“…The author has developed an algorithm for processing the panel image to estimate the degree of its output power reduction due to contamination and to make a decision for panel cleaning. …”
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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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Research on Hybrid Collaborative Filtering Recommendation Algorithm Based on the Time Effect and Sentiment Analysis by Xibin Wang, Zhenyu Dai, Hui Li, Jianfeng Yang

“…Finally, the experimental results show that the proposed algorithm can address the time effect and sentiment analysis in recommendations and improve the predictive performance of the model.…”
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Landslide susceptibility analysis using random forest model with SMOTE-ENN resampling algorithm by Mingxi Lu, Lea Tien Tay, Junita Mohamad-Saleh

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Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis by Yong Lv, Jie Luo, Cancan Yi

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Research on LSTM-PPO Obstacle Avoidance Algorithm and Training Environment for Unmanned Surface Vehicles by Wangbin Luo, Xiang Wang, Fang Han, Zhiguo Zhou, Junyu Cai, Lin Zeng, Hong Chen, Jiawei Chen, Xuehua Zhou

“…A comparison with the performance of three other deep reinforcement learning algorithms reveals that the LSTM-PPO algorithm exhibits a 21.5% reduction in average convergence time, an 18.5% reduction in average path length, and an approximately 20% enhancement in the success rate of obstacle avoidance in complex environments. …”
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Surveying the knowledge of pregnant women towards sport activities during pregnancy using data mining algorithms by Fatemeh Bagherı, Fatemeh Islamı, Fatemeh Mohammadı

“…In predicting the level of knowledge using decision tree in both prediction level (5 label and 3 label), C5.0 algorithm had the most accurate prediction. …”
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Inventory control strategy based on neural network and fuzzy algorithm in intelligent warehousing system by Chunmei Xie, Cong Xie

“…Abstract To cope with the inventory control problem of an intelligent warehousing system, this paper proposes a neuro-fuzzy dynamic inventory regulation model (NFDIRM), which integrates radial basis function neural network (RBFNN) and fuzzy logic algorithm, aiming to solve the problems of poor prediction accuracy and poor decision flexibility of traditional models. …”
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Optimization of Random Forest Algorithm with Backward Elimination Method in Classification of Academic Stress Levels by Salsabila Dani Amalia, Mula Agung Barata, Pelangi Eka Yuwita

“…Therefore, there is a need for effective prediction methods to aid in the management and prevention of academic stress. …”
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Vehicle Target Tracking Algorithm Based on Improved Strong Tracking Unscented Kalman Filter by Feng Tian, Siyuan Wang, Weibo Fu, Tianyu Wei

“…A multidimensional adaptive factor-based strong tracking UKF (MAST-UKF) algorithm is proposed. The method introduces multidimensional attenuation factors in the prediction and updating process of filtering, and realizes the strong tracking filtering of vehicle targets by adjusting the uncertainty of state noise covariance and observation noise covariance and dynamically updating the multidimensional attenuation factors by adaptively adjusting the threshold based on the observation residuals and the state estimation error. …”
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Low complexity hybrid precoding algorithm for massive MIMO based on modified Newton method by Bo HU, Anding WANG, Guiyi WEI

“…A phase tracking algorithm was proposed for massivemultiple-input multiple-output(MIMO) systems based on the modified Newton (MN) method, which effectively reduced the high computational complexity in traditional high-performance hybrid precoding schemes.The algorithm optimized the analog precoding matrix from the perspective ofsub-dimensional vector recovery.In each sub-dimension optimization, the phase tracking method was used to transform the recovery of the analog precoding vectors into an unconstrained nonlinear optimization problem, which was then solved using the MN method.Concurrently, this strategy led to a marked reduction in the computational intricacy pertaining to both the computation of correction factors and the inversion of the Hessian matrix within the framework of the MN method.This was achieved through the insightful incorporation of Gerschgorin’s Disk theorem and the Hermitian matrix block-inverse lemma.Simulation results show that the proposed algorithm has higher spectral efficiency and lower computational complexity than several conventional high-performance hybrid precoding schemes.…”
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An Improved Diffusion Based Placement Algorithm for Reducing Interconnect Demand in Congested Regions of FPGAs by Ali Asghar, Husain Parvez

“…For the 20 MCNC benchmark circuits, our algorithm reduced the channel width for 15 circuits. …”
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A two‐stage algorithm for vehicle routing problem with charging relief in post‐disaster by Qixing Liu, Peng Xu, Yuhu Wu, Tielong Shen

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Associative Analysis Data Mining Pattern Against Traffic Accidents Using Apriori Algorithm by Ruswati Ruswati, Acep Irham Gufroni, Rianto Rianto

“…The pattern of the relationship sought is the linkages of itemset variables involved in the accident by involving 4 variables that describe the identity of the perpetrators, namely gender, age, profession and level of education and 22 attributes of the dataset. The minimum limit of support, confidence and lift ratio values used in the Apriori Algorithm calculation rules is 15%, 70% and 1.1. …”
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The benefits of differential diagnostic algorithm application to the surgical practice through the example of pseudomembranous colitis by L. A. Averyanova, A. A. Baulin, O. A. Baulina, V. A. Baulin, D. D. Lipatova

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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…A feature importance study is conducted using a decision tree algorithm, which selects only the most significant features to reduce computational complexity.ResultFeature classification is then performed using various machine learning and deep learning algorithms, including Support Vector Machines (SVM), Multi-Layer Perceptron (MLP), Cascade Correlation, GMDH Polynomial Neural Networks, and Linear Discriminant Analysis Among these classifiers, Probabilistic Neural Networks (PNN) consistently deliver the best results as 91.25% under 1,400 rpm.DiscussionBased on these findings, the Probabilistic Neural Network algorithm is identified as a robust and reliable prediction model for monitoring FSW tool conditions.…”
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