Surveying the knowledge of pregnant women towards sport activities during pregnancy using data mining algorithms by Fatemeh Bagherı, Fatemeh Islamı, Fatemeh Mohammadı

“…In predicting the level of knowledge using decision tree in both prediction level (5 label and 3 label), C5.0 algorithm had the most accurate prediction. Also in comparison, SVM algorithm and SVM regression algorithm had better results with the least error. …”
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Effect of Combining Multiple CNV Defining Algorithms on the Reliability of CNV Calls from SNP Genotyping Data by Soon-Young Kim, Ji-Hong Kim, Yeun-Jun Chung

Subjects: “…CNV defining algorithm…”
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Advanced Path Planning for UAV Swarms in Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms by Mohammed Sani Adam, Nor Fadzilah Abdullah, Asma Abu-Samah, Oluwatosin Ahmed Amodu, Rosdiadee Nordin

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Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

“…Given the disadvantages and challenges associated with traditional osteoporosis diagnostic tools, the implementation of ML algorithms for the early identification of individuals with osteoporosis can lead to a significant reduction in morbidity and mortality related to this condition. …”
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Evidence-based Algorithms for Free Deep Inferior Epigastric Perforator Flap Salvage in Autologous Breast Reconstruction by Anna R. Todd, MD, PhD, FRCSC, Mawaddah Alrajraji, MD, Kathryn Sawa, MD, Joan E. Lipa, MD, MSc, Laura Snell, MD, MSc

“…Three evidence-based management algorithms were created. The first algorithm outlines perioperative management strategies to optimize patient care and prompt return to the OR. …”
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Supervised machine learning classification algorithms for detection of fracture location in dissimilar friction stir welded joints by Akshansh Mishra, Apoorv Vats

“…Supervised Machine Learning algorithms are further sub-divided into two types i.e. regression algorithms and classification algorithms. …”
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Neutron Flux Monitoring Based on Blind Source Separation Algorithms in Moroccan TRIGA MARK II Reactor by Hanane Arahmane, El-Mehdi Hamzaoui, Rajaa Cherkaoui El Moursli

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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

“…Algorithms…”
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Beyond predefined ligand libraries: a genetic algorithm approach for de novo discovery of catalysts for the Suzuki coupling reactions by Julius Seumer, Jan H. Jensen

Subjects: “…Genetic algorithm…”
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Algorithm for diagnosing insulation of power transformers by acoustic method in conditions of temperature changes by A. A. Kuznetsov, V. V. Kharlamov, M. A. Volchanina

“…The article presents an algorithm for processing data by the acoustic method of insulation power transformers. …”
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Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

“…This paper presents a novel recognition algorithm based on YOLOv5, incorporating BiFPN-SDI, C3-DAttention, and Detect_Efficient to significantly enhance detection performance. …”
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A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression by Victoria Y. Wang, Men-Tzung Lo, Ta-Ching Chen, Chu-Hsuan Huang, Adam Huang, Pa-Chun Wang

“…Using longitudinal retinal imaging data, we developed and validated a predictive model for DR progression: AI-driven Diabetic Retinopathy Progression Prediction Algorithm (ADRPPA). In this retrospective study, we analyzed paired retinal fundus images of the same eye captured at ≥ 1-year intervals. …”
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3L-YOLO: A Lightweight Low-Light Object Detection Algorithm by Zhenqi Han, Zhen Yue, Lizhuang Liu

“…In comparison to the LOL-YOLO low-light object detection algorithm, 3L-YOLO requires 16.9 GFLOPs, representing a reduction of 4 GFLOPs.…”
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Algorithm for automatic fatigue crack growth simulation on welded high strength steels by R. Baptista, J. Marques, V. Infante

“…A simpler and more intuitive Python algorithm was developed, to enable the use of the experimental material parameters, to predict the crack propagation path. …”
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Approximation algorithm to symmetric alpha stable distribution with bi-region curve model by Kang WANG, Zhi-jiang XU, Li-min MENG

“…The symmetric alpha stable (S S) was used to model a non-Gaussian,heavy tail and impulsive noise of com-α munication channels.However,explicit expressions for the probability density functions (PDF) in terms of elementary functions are still unknown except for some special cases,which limits the application of the SαS distribution in practice,which the bi-region separated by the triple divergence was proposed Specially,within the triple divergence,a simple exponential function with two special parameters was constructed,the two parameters were determined by using Taylor serial expansion.Compared with conventional algorithms using the series expansion,the proposed algorithm avoids the selecting the number of the series items and the risk of series expansion divergence.Moreover,numerical results verify that the proposed approximation is closer to the actual SαS PDF than the conventional Cauchy-Gaussian mixture approximation.…”
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Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems by Fei Long

“…Current recommending algorithms, however, are facing a series of challenges. …”
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Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm by Aida Ghorbani, Amir Daneshvar, Ladan Riazi, Reza Radfar

“…To learn the model in the objective function of the particle swarm algorithm, a hybrid system based on stacking is proposed. …”
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Ship Target Detection Algorithm Based on Improved YOLOv3 for Maritime Image by Dehai Chen, Shiru Sun, Zhijun Lei, Heng Shao, Yuzhao Wang

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Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks by Tangsen Huang, Xiangdong Yin, Xiaowu Li

“…The experimental results show that compared with the traditional algorithm, the proposed algorithm has a great improvement in the two indicators of sensing performance and energy efficiency.…”
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PSO localization algorithm for WSN nodes based on modifying average hop distances by Yan-hang ZHAO, Zhi-hong QIAN, Xiao-hang SHANG, Chao CHENG

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