A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…In this article, a penalty function based on graph density (GD) was introduced to the particle swarm optimization algorithm (PSO), and a GD-PSO algorithm was proposed. …”
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A Convergent Algorithm for Energy-Balanced Cluster-Heads Selection in Wireless Sensor Networks by Hsing-Lung Chen, Tai-An Chen, Shu-Hua Hu

“…Thus, the large deviation of network lifetime makes these algorithms impractical. This paper proposes a new clustering algorithm which not only reduces the average energy consumption rate, but also converges the residual energies of all nodes on a small interval. …”
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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…To validate the theoretical findings and study the applicability of the algorithms across diverse problem classes, extensive numerical experiments were conducted to calculate the main sensitivity indicators—Sobol’ global sensitivity indices. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…To automate the detection of phytoplankton distribution areas, a computer vision algorithm based on the U-Net CNN was developed. The model was evaluated by the calculated values of the main quality metrics related to segmentation tasks. …”
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Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…The initial database was equalized and visualized using the Adasyn and t-SNE algorithms. Five rockburst prediction models [support vector machine (SVM), least-squares support vector machine (LSSVM), kernel extreme learning machine (KELM), Random Forest (RF), and XGBoost] were established by employing the Secretary Bird Optimization (SBO) algorithm and 5-fold cross-validation to optimize performance. …”
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An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

“…Since existing methods may not be suitable for big traffic data processing, this paper presents a MapReduce-based Parallel Three-Phase K-Means (Par3PKM) algorithm for solving traffic subarea division problem on a widely adopted Hadoop distributed computing platform. …”
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Research on Multi-Objective Optimization of Helical Gear Shaping Based on an Improved Genetic Algorithm by Shengmao Zhou, Dehai Zhang

“…Then, an improved genetic algorithm was applied to seek optimal helical gear shaping parameters. …”
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Identification of Vulnerable Lines in Transmission Network for Cascading Failure Based on PageRank Algorithm by Mingkui WEI, Quan ZHOU, Yuyan SONG, Yuhong WANG, Hong ZHOU, Shaorong CAI, Li JIANG

“…In order to quickly and accurately identify the vulnerable lines that may trigger cascading failure in the power grid, a double-layer method for identifying vulnerable lines in the transmission network was proposed based on PageRank algorithm, which takes into account the cascading effect of faults. …”
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Enhanced Search Spring Algorithm for Green Agri-Food Supply Chain Network Design by Xiaoya Hu

“…Although, conventional supply chains may fall short of the modern expectations of efficiency, cost-efficiency and sustainability. …”
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YOLO-Wheat: A More Accurate Real-Time Detection Algorithm for Wheat Pests by Yongkang Liu, Qinghao Wang, Qi Zheng, Yong Liu

“…We provide an enhanced algorithm, YOLO-Wheat, based on YOLOv8, to solve the aforementioned issues. …”
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Robust parameter inversion of coal mining subsidence based on the combination of RANSAC and DE algorithms by Yuanfei Chen, Lei Wang

“…Abstract Underground mining operations may lead to extensive surface environmental issues such as ground subsidence, cracks, and water accumulation. …”
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A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data by Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia

“…Traditionally, cluster similarity considers all attributes equally, but in real-world applications, some attributes may be more important than others. Therefore, this study proposes an algorithm that utilizes multivariate fuzzy weighting to demonstrate the varying importance of each attribute, using a Gini impurity measure for weight assignment. …”
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An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition by E.G. Tsiplakova, A. Chopard, N.S. Balbekin, O.A. Smolyanskaya, J.-B. Perraud, J.-P. Guillet, P. Mounaix, N.V. Petrov

“…Unlike a number of conventional phase retrieval algorithms, which may require a series of numerical experiments for determining optimal intensity distributions from a large dataset, disordered propagation of the estimation wavefront guarantees the high-contrast and high-resolution image reconstruction without pre-setting the parameters. …”
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Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm by Tawfiq Hasanin, Aisha Alsobhi, Adil Khadidos, Ayman Qahmash, Alaa Khadidos, Gabriel Ayodeji Ogunmola

“…In this research, reduce the offloading and latency between the edge computing and multiusers under the environment IoT application in 5G using bald eagle search optimization algorithm. The deep learning approach may consume high computational complexity and more time. …”
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A Multivariate Fuzzy Weighted K-Modes Algorithm with Probabilistic Distance for Categorical Data by Ren-Jieh Kuo, Maya Cendana, Thi Phuong Quyen Nguyen, Ferani E. Zulvia

“…Traditionally, cluster similarity considers all attributes equally, but in real-world applications, some attributes may be more important than others. Therefore, this study proposes an algorithm that utilizes multivariate fuzzy weighting to demonstrate the varying importance of each attribute, using a Gini impurity measure for weight assignment. …”
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Research on Risk Identification of Coal Mine Ventilation Systems Based on HFACS and Apriori Algorithm by Mingjia Jing, Guoxing Zhang, Dongjie Yang, Hongli Qin

“…Cases of accidents in coal mine ventilation systems serve as a concentrated demonstration of accident hazards and hold significant value for identifying key risk factors that may induce disasters in coal mine ventilation systems. …”
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Predictive modelling of aquaculture water quality using IoT and advanced machine learning algorithms by Md. Abdullah Al Mamun Hridoy, Chiara Bordin, Andleeb Masood, Khalid Masood

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An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Anwer Mustafa Hilal, Maha M. Althobaiti, Taiseer Abdalla Elfadil Eisa, Rana Alabdan, Manar Ahmed Hamza, Abdelwahed Motwakel, Mesfer Al Duhayyim, Noha Negm

“…To overcome this issue, this paper proposed fusion of B-KNN with the ELM algorithm that is used. The accuracy of the BKNN-ELM algorithm in classification of water quality status produced the highest accuracy of the highest accuracy which is K=9 and k=10 with rate of accuracy which is 93.56%, and the lowest accuracy is K=1 of 65.34%. …”
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Prophetic Energy Assessment with Smart Implements in Hydroelectricity Entities Using Artificial Intelligence Algorithm by Abdullah Saleh Alqahtani, Pravin R. Kshirsagar, Hariprasath Manoharan, Praveen Kumar Balachandran, C. K. Yogesh, Shitharth Selvarajan

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Formal Specification and Validation of a Localized Algorithm for Segregation of Critical/Noncritical Nodes in MAHSNs by Mohammed Alnuem, Nazir Ahmad Zafar, Muhammad Imran, Sana Ullah, Mahmoud Fayed

“…We present a localized algorithm for segregation of critical/noncritical nodes (LASCNN) to the network connectivity. …”
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