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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A modified tubularised incised plate urethroplasty technique and a revised hypospadias algorithm by Bhattacharya Sameek

“…To simplify and standardize surgical management of hypospadias, a modified tubularised incised plate (TIP) urethroplasty (Snodgrass) technique has been described and a revised hypospadias management algorithm has been formulated. The study aims to evaluate the viability of the described procedure in different types of hypospadias and tests the validity of the algorithm. …”
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Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs by Cezary Kownacki, Slawomir Romaniuk, Marcin Derlatka

“…Abstract This study compares different neural networks as standalone control algorithms for position and trajectory tracking in holonomic UAVs, specifically quadcopters. …”
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Smart prediction-planning algorithm for connected and autonomous vehicle based on social value orientation by Donglei Rong, Yuefeng Wu, Wenjun Du, Chengcheng Yang, Sheng Jin, Min Xu, Fujian Wang

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Application of the Multi-Strategy Improved Walrus Optimization Algorithm in Mobile Robot Path Planning by Yongfu Ke, Limei Shi, Weinan Ji, Peng Luo, Lei Guo

“…It’s capable of significantly improving the overall performance of the algorithm. Evaluating the performance of the proposed algorithm, this paper conducts experiments with three distinct sets of benchmark functions and compares the outcomes against various swarm intelligence algorithms. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…And the research method can effectively evaluate the status of wind energy resources, with low time complexity at different data scales, taking no more than 5 seconds, and improving operational efficiency. …”
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Sensor-Based Bermudagrass Yield Prediction Models Using Random Forest Algorithm in Oklahoma by Gabriel Camargo de Campos Jezus, Lucas Freires Abreu, Daryl Brian Arnall, Lucas Martins Stolerman, Alexandre Caldeira Rocateli

“…Current literature states that (i) machine learning algorithms are promising in agriculture, and (ii) proximity and multispectral sensors can be employed to predict biomass. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…Various techniques like feature selection and dimensionality reduction are explored to improve classification accuracy while minimizing bias. Different machine learning (ML) algorithms, including traditional and ensemble methods, are employed for analyzing both imbalanced and balanced HRV datasets. …”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

“…Abstract Electrocardiography (ECG) is a non-invasive tool used to identify abnormalities in heart rhythm. It is used to evaluate dysfunctions in the electrical system of the heart. …”
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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation by Liang Xiang, Xiajie Zhao, Jianfeng Wang, Bin Wang

“…Subsequently, the optimization performance of the CLNBHEOA was evaluated on the CEC2017 benchmark functions. Experiments demonstrated that the CLNBHEOA outperformed the comparison algorithms by over 90%, exhibiting higher optimization performance and search efficiency. …”
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Opposition-Based Quantum Bat Algorithm to Eliminate Lower-Order Harmonics of Multilevel Inverters by Jahedul Islam, Sheikh Tanzim Meraj, Ammar Masaoud, Md. Apel Mahmud, Amril Nazir, Muhammad Ashad Kabir, Md. Moinul Hossain, Farhan Mumtaz

“…The performance of the algorithm is evaluated with three different case studies involving 7, 11, and 17-level three-phase MLIs. …”
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Unveiling users’ algorithm trust: The role of task objectivity, time pressure, and cognitive load by Ruoxin Yang, Sisheng Li, Yawei Qi, Jiali Liu, Qinghua He, Haichao Zhao

“…Using a weight estimation task selected by study 1, which was identified as high objectivity and comparable trust in human versus algorithmic decisions, study 2 investigated the algorithm trust of 51 college students under different cognitive loads and time pressures. …”
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