Unmanned Aerial Vehicles (UAV) Networking Algorithms: Communication, Control, and AI-Based Approaches by Mien L. Trinh, Dung T. Nguyen, Long Q. Dinh, Mui D. Nguyen, De Rosal Ignatius Moses Setiadi, Minh T. Nguyen

“…This paper focuses on algorithms and technologies for unmanned aerial vehicles (UAVs) networking across different fields of applications. …”
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Application of Multiple-Population Genetic Algorithm in Optimizing the Train-Set Circulation Plan Problem by Yu Zhou, Leishan Zhou, Yun Wang, Zhuo Yang, Jiawei Wu

“…There is no available algorithm that can obtain the optimal global solution, and many factors such as the utilization mode and the maintenance mode impact the solution of the TCPP. …”
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A Critique of the Political Economy of Algorithms: A Brief History of Google’s Technological Rationality by Paško Bilić

“…The company produces two main types of commodities: audience commodity and algorithmic commodity, each solidifying the company’s control and dominance over Internet usage habits. …”
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Assigning Metaheuristics to a Logistics Problem: A Novel Classification System for Algorithms and Problems by Tamara J. Bíró, Adrián Horváth

“…Two main categories were distinguished for both logistic tasks and metaheuristic algorithms: discrete and continuous. …”
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A power storage station placement algorithm for power distribution based on electric vehicle by Jianwen Xu, Ping Yi, Wei Wang, Ting Zhu

“…As the basic and priority problem, choosing the suitable location to place power storage stations can not only reduce the total number of construction but also increase the utilization rate of each one. Main work involves the two branch algorithms for solving the placement problem; simulation while using real-world transportation data of two city bus maps and analysis about the advantages and disadvantages of algorithms.…”
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A hierarchical model for community identification in complex networks through modularity and genetic algorithm by JinNuo Shi

“…Subsequently, in the second phase, the identification of the main communities of the network is carried out through the iterative merging of local communities using the modularity criterion. …”
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Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm by Doujun Zhang, Yong Wu, Youcong Ni, Tinghuang Zhang, Chenxiang Gao

“…In this paper, we proposed a multi-strategy probabilistic discrete differential evolution algorithm (MSPDDE) for finding the optimal values of the rendering parameters of Cesium 3DTiles model, which increases the search space and improves the convergence speed by introducing multiple mutation strategies. …”
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Multi-Search Strategy-based Improved Water Flow Optimizer Algorithm for Cluster Analysis by Prateek Thakral, Yugal Kumar

“…This technique determines the valuable information from a pre-defined set of data and groups similar information into the same cluster. In literature, many algorithms have been presented based on several clustering approaches. …”
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A multi-site study of clinician perspectives in the lifecycle of an algorithmic risk prediction tool by Rita Dexter, Kristin Kostick-Quenet, Jennifer Blumenthal-Barby

“…Recent advancements in the performative capacities of artificial intelligence (AI), machine learning (ML), and algorithmic-based tools open up numerous applications in modern medicine. …”
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Associative Analysis Data Mining Pattern Against Traffic Accidents Using Apriori Algorithm by Ruswati Ruswati, Acep Irham Gufroni, Rianto Rianto

“…The minimum limit of support, confidence and lift ratio values used in the Apriori Algorithm calculation rules is 15%, 70% and 1.1. This value is used to get many rules that have a high level of occurrence accuracy. …”
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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…Abstract In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. As an important scientific tool, sports training data analysis aims to provide decision support for athletes and coaches, optimize training programs and improve sports performance through accurate data mining and model prediction. …”
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Predicting the Matching Possibility of Online Dating Youths Using Novel Machine Learning Algorithm by Karthikeyan Palanisamy, Muthumani Muralidharan

“…In today's fast-paced society, many choose speed dating since it is efficient and convenient. …”
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An Evolutionary Learning Whale Optimization Algorithm for Disassembly and Assembly Hybrid Line Balancing Problems by Xinshuo Cui, Qingbo Meng, Jiacun Wang, Xiwang Guo, Peisheng Liu, Liang Qi, Shujin Qin, Yingjun Ji, Bin Hu

“…To solve the model, an evolutionary learning-based whale optimization algorithm is developed. The experimental results show that the proposed algorithm is significantly faster than CPLEX, particularly for large-scale disassembly instances. …”
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The role of hybrid models in financial decision-making: Forecasting stock prices with advanced algorithms by Xiaoyi Zhu

“…Stock price volatility is influenced by many factors, which are significant obstacles to achieving accurate stock price forecasting in the financial market. …”
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A Novel Approach for Enhancing Plant Leaf Classification With the Binary Cuckoo Search Algorithm by Mohammad Subhi Al-Batah, Mohammad Ryiad Al-Eiadeh, Yazan Alnsour

“…In our study, FM is used as a classification algorithm, whereas DR is included in two stages, namely, feature extraction (FE) and feature selection (FS). …”
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DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data by Yang Zhang, Shigong Long, Guangyuan Liu, Junming Zhang

“…Differential privacy is applied to the algorithm to achieve sample-level differential privacy and protect the client’s data privacy. …”
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Innovative Landslide Susceptibility Mapping Portrayed by CA-AQD and K-Means Clustering Algorithms by Mao Yimin, Li Yican, Deborah Simon Mwakapesa, Wang Genglong, Yaser Ahangari Nanehkaran, Muhammad Asim Khan, Zhang Maosheng

“…The model was implemented in Baota District, Shaanxi province, China. The CA-AQD algorithm was adopted to split all grids in the study area into many groups with more similar characteristic values, which also owed to efficiently quantifying the uncertain (rainfall) value by using AQD. …”
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Defect Detection Algorithm for Electrical Substation Equipment Based on Improved YOLOv10n by Qingkai Meng, Tianren Fu, Kangning Li, Long Huang, Shaoqiang Chen

“…Addressing the shortcomings of current algorithms in small target detection, complex background processing, and the balance between real-time and accuracy, this paper proposes several key improvements to the YOLOv10n framework to address these limitations. …”
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A Dynamic Topology Reformation Algorithm for Power Saving in ZigBee Sensor Networks by Reen-Cheng Wang, Ruay-Shiung Chang, Jei-Hsiang Yen, Pu-I Lee

“…In order to extend the life time of network, we proposed a dynamic topology reformation algorithm. The algorithm consists of a cluster reformation scheme for enhancing connectivity and a self-swapping method for averaging the loading of router nodes and end devices. …”
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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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