Prediction of Urban Scale Expansion Based on Genetic Algorithm Optimized Neural Network Model by Hewu Kuang

“…A genetic algorithm BP neural network (GA-BP) optimized by the genetic algorithm is used to shorten the running time of the algorithm and improve the prediction accuracy, but it is easy to fall into local solution. …”
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An improved multiobjective evolutionary algorithm for time-dependent vehicle routing problem with time windows by Jia-ke Li, Jun-qing Li, Ying Xu

“…In this study, a special case of TDVRPTW with temporal-spatial distance (TDVRPTW-TSD) is investigated, which objectives are to minimize the total travel time and maximize customer satisfaction while satisfying the vehicle capacity. To address it, an improved multiobjective evolutionary algorithm (IMOEA) is developed. …”
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A Correlation-Based Feature Selection Algorithm for Operating Data of Nuclear Power Plants by Yuxuan He, Hongxing Yu, Ren Yu, Jian Song, Haibo Lian, Jiangyang He, Jiangtao Yuan

“…The proposed algorithm is verified by experiments and compared with traditional correlation-based feature selection algorithms. …”
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Smart Energy Management for Hybrid Systems: A Genetic Algorithm in Response to Market Volatility by Dácil Díaz-Bello, Carlos Vargas-Salgado, Jesús Águila-León, David Alfonso-Solar

“…For this purpose, a genetic algorithm is applied to optimize energy management under different market conditions (COVID-19, the war, the Business as Usual situation, and future price trends for 2030). …”
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Deep Learning algorithm for the assessment of the first damage initiation monitoring the energy release of materials by Dario Milone, Dario Santonocito

“…During a static tensile test, it is possible to assess two distinct phases: In the first phase (Phase I), where all the crystals are elastically stressed, the temperature trend follows the linear thermoelastic law; while, in the second phase (Phase II), some crystals begin to deform, and the temperature assumes a non-linear trend. …”
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Comparison of Deep Neural Networks and Random Forest Algorithms for Multiclass Stunting Prediction in Toddlers by Wulan Sri Lestari, Yuni Marlina Saragih, Caroline

“…This study aims to compare the performance of multiclass stunting prediction models using two machine learning algorithms: Deep Neural Networks and Random Forest. …”
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An Improved NSGA-II Algorithm for Multi-Objective Optimization of Irregular Polygon Patch Antennas by Zhenyang Ma, Jiahao Liu

“…The algorithm integrates adaptive mechanisms that dynamically adjust crossover and mutation rates based on generational progression, accelerating convergence while preserving solution diversity. …”
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ScBlkCom: An Integrated Compression Algorithm for Single-Cell RNA Sequencing Data by Zhang Yuanxin, Lu Yang, Sun Xiao, Fan Jue

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Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

“…This study aims to analyze the performance of Support Vector Machine (SVM) and Random Forest algorithms in predicting breast cancer using oversampling and SMOTEENN preprocessing techniques. …”
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Highway Passenger Transport Based Express Parcel Service Network Design: Model and Algorithm by Yuan Jiang, Baofeng Sun, Gendao Li, Zhibin Lin, Changxu Zheng, Xiuxiu Shen

“…Highway passenger transport based express parcel service (HPTB-EPS) is an emerging business that uses unutilised room of coach trunk to ship parcels between major cities. While it is reaping more and more express market, the managers are facing difficult decisions to design the service network. …”
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Fast Obstacle Avoidance Path Generation Algorithm for Multi-Target Point Coverage Traversal by Pengpeng Guo, Chaoyi Sun, Kan Yang, Qing Li

“…The mPRM algorithm shows significant superiority by reducing the number of sampling points by 90% and improving the computation time by 95%, while the solution success rate reaches 100%.…”
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Review and experimental comparison of speckle-tracking algorithms for X-ray phase contrast imaging by Rafael Celestre, Laurène Quénot, Christopher Ninham, Emmanuel Brun, Luca Fardin

“…We present the most common tracking methods, introducing the existing algorithms with their specifications and comparing their performances under various experimental conditions. …”
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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

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A Novel Quantum-Enhanced Algorithm for Dynamic Soil Microbiome Optimization to Boost Agriculture by Mukherjee Anshit

“…The research establishes an algorithm that combines quantum annealing with hybrid neural networks along with quantum walks optimization for nutritional pathway and microbial relationship simulation. …”
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An Improved Lagrange Particle Swarm Optimization Algorithm and Its Application in Multiple Fault Diagnosis by Xiaofeng Lv, Deyun Zhou, Ling Ma, Yuyuan Zhang, Yongchuan Tang

“…The particle swarm optimization (PSO) algorithm is a global search algorithm. In this paper, an improved Lagrange-particle swarm optimization algorithm is proposed. …”
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Detection of Electrical Fires in Residential Buildings Using a Gradient Boosting Machine Algorithm by Sharaban Taha Ahmed, Fadhil Aula

“…These results highlight the significance of effective feature selection in enhancing the algorithm's performance while addressing some imprecision, particularly regarding the two different load types. …”
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Application of Simulated Annealing Algorithm in the Construction of Online Examination System for Tax Law Courses by da Pan

“…This study proposes a simulated annealing (SA)-based optimization model for dynamically generating balanced online examinations in tax law courses. The SA algorithm efficiently selects exam questions while minimizing Exam Difficulty Variance (EDV), maximizing Syllabus Coverage Ratio (SCR), and reducing computational overhead. …”
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Joint user association and dynamic resource allocation algorithm for LEO-RAN slicing scenarios by Geng CHEN, Zhiwei XING, Fei SHEN, Qingtian ZENG

“…A joint user association and dynamic resource allocation algorithm was proposed for the slicing scenario of ultra dense low earth orbit-radio access network (LEO-RAN) in order to address the efficient utilization of resources of the integrated terrestrial-satellite network for 6G .Considering the constraints of the minimum rate, maximum delay and resource proportion of different slices, a joint optimization problem of user association and resource allocation was established to maximize the weighted sum of the SE and the differentiated SLA of different slices as the optimization objective.A network slicing algorithm based on multi-agent deep deterministic policy gradient (MADDPG) was proposed to determine the proportion of slicing resources, a Lagrange dual based user association algorithm was proposed to determine the optimal user association policy and the resources were allocated to users by using the round-robin scheduling mechanism.The simulation results show that the proposed algorithm can effectively improve SE while satisfying the differentiated SLA of different slices.Compared with MADDPG-RA, MATD3-LG, MATD3-RA, MASAC-LG and MASAC-RA algorithms, the system utility of the proposed algorithm is improved by 2.0%, 2.3%, 5.7%, 8.7% and 9.4%, respectively.…”
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Analysis of Public Perception on Domestic Violence Cases using Support Vector Machine Algorithm by Mirdatul Husnah, Rahmat Hidayat

“…The analysis was conducted using the Support Vector Machine algorithm, a classification algorithm that can classify values into certain classes and has a good level of accuracy. …”
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