Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…Furthermore, 90% of the time, Wilcoxon rank-sum tests revealed statistically significant differences between the algorithm and its rivals, demonstrating its superiority. …”
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Individual differences in response to alcohol exposure in zebrafish (Danio rerio). by Heloysa Araujo-Silva, Jaquelinne Pinheiro-da-Silva, Priscila F Silva, Ana C Luchiari

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Validation of a Novel Data-Driven Algorithm to Detect Atypical Prescriptions in Radiation Therapy by Connor Thropp, MS, Jaroslaw Hepel, MD, Timothy Leech, Eric E. Klein, PhD, Qiongge Li, PhD

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Denoising MEMS accelerometer sensors based on L2‐norm total variation algorithm by R. Abbasi‐Kesbi, A. Nikfarjam

“…The proposed method is tested by denoising in different accelerometer signals and the results are evaluated by signal‐to‐noise ratio and power spectral density functions of the signals. …”
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Computational approaches to apply the String Edit Algorithm to create accurate visual scan paths by Ricardo Palma Fraga, Ziho Kang

“… Eye movement detection algorithms (e.g., I-VT) require the selection of thresholds to identify eye fixations and saccadic movements from gaze data. …”
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Block-Based Multicut Benders Decomposition Algorithm for Transmission and Energy Storage Co-Planning by Edimar José de Oliveira, Arthur Neves de Paula, Leonardo Willer de Oliveira, Leonardo de Mello Honório

“…To demonstrate the effectiveness of the proposed method, different sizes of representative periods are evaluated in three test systems: Garver 6-bus, IEEE-RTS 24-bus, and IEEE-118 188-bus. …”
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Design of Simulation Program for Analysis of Shortest Path Algorithms in Grid-Based Path Planning by İbrahim Şanlialp, İbrahim Yandı

“…This study examines the analysis of algorithms used to find the shortest path between cells with different terrain types and elevation levels on a map comprising hexagonal cells ranging from 91 to 7651. …”
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Amoeba Based Novel Post-Processing Algorithm for Industrial Computed Tomography Scans Enhancement by Umar Talha, Waleed Bin Yousuf, Tariq Mairaj

“…A novel amoeba-based algorithm is proposed for ICT images enhancement from sparsely acquired projections. …”
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Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM by WU Xiaojun, LI Quwei

“…In order to evaluate the performance of the improved algorithm, firstly, benchmark testing functions were used for experiments, and the improved algorithm was compared with existing optimization algorithms such as NGO, particle swarm optimization (PSO), sparrow search algorithm (SSA), etc. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…Therefore, we propose MTEPN as an innovative deep convolutional neural network algorithm specifically designed to perform multiple visual tasks concurrently. …”
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Prediction of room temperature in Trombe solar wall systems using machine learning algorithms by Seyed Hossein Hashemi, Zahra Besharati, Seyed Abdolrasoul Hashemi, Seyed Ali Hashemi, Aziz Babapoor

“…This study evaluated the performance of four machine learning algorithms—linear regression, k-nearest neighbors, random forest, and decision tree—for predicting the room temperature in a Trombe wall system. …”
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An Optimized Attenuation Compensation and Contrast Enhancement Algorithm Without Pseudocharacteristics in Intravascular OCT Imaging by Yonghan Zhou, Tiegen Liu, Zhenyang Ding, Kuiyuan Tao, Kun Liu, Junfeng Jiang, Zixu Liu, Yongjun Jiang, Hao Kuang

“…Then, we make a comparison of the IVOCT images with different values of the enhancement coefficient to evaluate the effects of each algorithm based on the improvement of visibility in depth, the contrast enhancement, and the preservation of characteristics. …”
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Construction and Demolition Waste Generation Prediction by Using Artificial Neural Networks and Metaheuristic Algorithms by Ruba Awad, Cenk Budayan, Asli Pelin Gurgun

“…This study uses data concerning the actual quantities of work in 200 real-life construction and demolition projects performed in the Gaza Strip. Different performance parameters, such as mean absolute error (MAE), mean square error (MSE), root mean squared error (RMSE), and the coefficient of determination (R²), are used to evaluate the effectiveness of the models developed. …”
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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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The use of autofluorescence stomatoscopy in the algorithm of diagnosing of the oral mucosal abnormalities of patients with tuberculosis infection by T. P. Goryacheva, D. A. Zaplutanova, I. P. Goryacheva, O. A. Aleshina

“…The reports of the examined persons regarding the autofluorescence stomatoscopy were evaluated.RESULTS. It was shown that diseases of the oral mucosa and the red border of the lips in patients with tuberculosis infection are highly common (92%), are found more often in males and differ in the heterogeneity of their structure, which is dominated by candidiasis of the oral mucosa, traumatic lesions and various forms of cheilitis. …”
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An improved algorithm for prediction of vehicle trajectories using short-term goal-driven network by Abdalla Tawfik, Zaki Nossair, Roaa Mubarak

“…Conclusion This article presents an improved algorithm for predicting vehicle trajectories using short-term goals. …”
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Inverse Analysis of Thermal Parameters of Arch Dam Concrete Based on Walrus Optimization Algorithm by Youle Wang, Zhengjian Miao, Rui Song, Junchi Zhou, Yuheng Pan, Feng Wang

“…A method for inverse analysis of thermal parameters of arch dams using the walrus optimization algorithm (WaOA) is proposed. To verify the accuracy of the inversion parameters, twelve classical test functions are used to compare the three algorithms to evaluate their fitness. …”
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Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF by Dasheng Chen, Qi Song, Yinbin Zhang, Ling Li, Zhiming Yang

“…This diverse set of models was carefully chosen to ensure comprehensive coverage of different techniques and algorithms. Through the comparison and analysis of these models, we aim to evaluate their predictive capabilities and identify the most effective approach for network element performance prediction. …”
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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

“…Based on this background, this paper comprehensively evaluates the performance of each model in different dimensions by comparing six key indicators: mean square error (MSE), mean absolute error (MAE), information gain, feature importance, sports performance improvement rate and training target achievement rate. …”
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A GA-BP neural network algorithm for fault detection of transmission tower bolts by Ziqiang Lu, Pengjie He, Huiwei Liu, Jie Li, Ziying Lu

“…If not detected and addressed in a timely manner, serious adverse events, such as tower collapse, may occur which will endanger the normal operation of the power system.MethodsBased on this, in order to ensure the normal operation of the transmission tower and improve the identification effect of bolt loosening, the GP-BP neural network algorithm was applied to the detection process. The feasibility of this algorithm was evaluated through the quantitative analysis of different damage degrees.ResultThe results are as follows: 1) except for the average accuracy rate of substructure 7, which is 89.74%, the identification accuracy of other substructures is more than 90%, indicating that the GA-BP neural network algorithm is effective in identifying the single-damage degree of the tower bolt loosening in the main material; 2) the identification accuracy of double-damage substructure is also more than 90%, indicating that the GA-BP algorithm is effective in identifying the double-damage degree of the tower bolt loosening in the main material.ConclusionIn summary, it can be concluded that both the single- and double-damage degree conditions exhibit a relatively considerable recognition accuracy. …”
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