Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept by Aliaa Mahmoud, Mohammed Younis

“…The performance of two supervised machine learning classifiers, decision tree, and random forest (10, 100, 500, and 1000 trees) were compared and implemented in two ways with and without parallel processing. …”
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Leveraging Advanced Mathematical Methods in Artificial Intelligence to Explore Heterogeneity and Asymmetry in Cross-Border Travel Satisfaction by Yan Xu, Huajie Yang, Zibin Ye, Xiaobo Ma, Lei Tong, Xinyi Yu

Subjects: “…three-factor theory…”
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Quad Rapidly-Exploring Random Tree Star Algorithm With Improved Potential Force for Unmanned Aerial Vehicle Path Planning by Peng Bian, Jiaming Fan, Yang Liu, Xia Chen, Yu Wang

“…Firstly, the algorithm generates four random trees simultaneously in map, and it generates two random trees respectively at the starting point and the target point to improve the search efficiency. …”
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MODIFIED WEIGHT MATRIX USING PRIM’S ALGORITHM IN MINIMUM SPANNING TREE (MST) APROACH FOR GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Fransiskus Fran, Yundari Yundari, Lisa Fikadila, Fauziah Safitri

“…In this research, a modified weight matrix is presented using the Minimum Spanning Tree approach of graph theory. Prim's algorithm is utilized for calculation here. …”
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The index-based subgraph matching algorithm (ISMA): fast subgraph enumeration in large networks using optimized search trees. by Sofie Demeyer, Tom Michoel, Jan Fostier, Pieter Audenaert, Mario Pickavet, Piet Demeester

“…We compared ISMA to a naive recursive tree-based algorithm and to a number of well-known subgraph matching algorithms. …”
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Modelling environment for analyzing the algorithms for 3D reconstruction of videoendoscopic research objects by A. F. Chernyavsky, K. A. Halavataya, V. S. Sadau

“…To compare the result of  reconstruction with a scene, generated using the proposed modelling environment, an optimality criterion is introduced, by which the individual stages of the three-dimensional reconstruction algorithm are compared when the model is optimized using the bundle adjustment method.…”
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Applying complex network metrics to individual-tree diameter growth modeling by Leite e Lopes I, Sousa da Mata A, Oliveira Castro RV, Viana da Páscoa KJ, Souza Jarochinski e Silva C, Rezende Gomide L

“…Mathematical approaches that explain growth increments, while accounting for inter-tree competition, are advancing. As interactions between trees represent a network structure within an ecological system, they can be described by topological metrics. …”
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Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

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VF-CART: A communication-efficient vertical federated framework for the CART algorithm by Yang Xu, Xuexian Hu, Jianghong Wei, Hongjian Yang, Kejia Li

“…There is an increasing trend in adapting machine learning algorithms to the VFL setting. As a category of prevalent machine learning algorithms, decision tree and random forests in VFL have attracted widespread interest. …”
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China by Hanyu Zhang, Bingjie Liu, Bin Yang, Jiachang Guo, Zhenhua Hu, Mengtao Zhang, Zhaohui Yang, Jianshuang Zhang

“…IntroductionThe unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in tree species classification.MethodsUAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.ResultsResults showed that PointMLP achieved the best accuracy for identification of the tree species (overall accuracy = 96.94%), followed by RF (overall accuracy = 95.62%), SVM (overall accuracy = 94.89%) and PointNet++(overall accuracy = 85.65%). …”
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ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

“…The preparation and preliminary processing of images contains the following constituents like detection and localization of area of the person on the image, assessment of an angle of rotation and an inclination, extension of the range of brightness of pixels and an equalization of the histogram to smooth the brightness and contrast characteristics of the processed images, scaling of the localized and processed area of the person, creation of a vector of features of the scaled and processed image of the person by a Principal component analysis (algorithm NIPALS), training of the multiclass SVM-classifier.The provided algorithm of expansion of the training selection is oriented to be used in practice and allows to expand using 3D-models the processed range of 2D – photographs of persons that positively affects results of identification in system of face recognition. …”
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Estimation of the Fundamental Frequency of the Speech Signal Compressed by MP3 Algorithm by Zoran MILIVOJEVIC, Darko BRODIC

“…The paper analyzes the estimation of the fundamental frequency from the real speech signal which is obtained by recording the speaker in the real acoustic environment modeled by the MP3 method. The estimation was performed by the Picking-Peaks algorithm with implemented parametric cubic convolution (PCC) interpolation. …”
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3. Plastic Surgery Resident Research Database Validation and Match Algorithm by Isabella Zorra, Tyler Miller, Allison Raymundo, Catherine Xu, Benjamin Smith, Freddy P. Jacome, Quinn Lawery, Christina Langone, Julia Corcoran

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Critical endpoints of three-dimensional finite density SU(3) spin model with tensor renormalization group by Xiao Luo, Yoshinobu Kuramashi

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Compression and Cryptography Algorithms for 3D Remote Sensing Point Cloud Data Based on 3D-TCICM and ECC by Pengfei Yan, Shixian Nan, Xiufang Feng, Yongfei Wu, Jie Yang, Hao Zhang

“…This paper proposes an asymmetric encryption and compression method based on three-dimensional Tent-Cubic-ICMIC map (3D-TCICM) and elliptic curve encryption (ECC) for 3D remote sensing point cloud. …”
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The Effect of Applying 2D Enhancement Algorithms on 3D Video Content by Sin Lin Wu, Jorge E. Caviedes, Lina Karam, Ingrid Heynderickx

“…The results of this research show that 2D enhancement algorithms are a viable first approach to enhance 3D content. …”
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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
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Application of Quasi Proportional Resonance Control Algorithm in Three-phase Inverter Power by Weiwei GAN, Wei GUO, Ke CHEN, Wentao WANG, Minggao ZENG, Xuebiao PENG

“…Nonlinear loads introduce harmonics into the three-phase inverter power system, which damages the electrical equipment. …”
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TsFSIM: a three-step fast selection algorithm for influence maximisation in social network by Liqing Qiu, Shiqi Sai, Xiangbo Tian

“…Therefore, a Three-step Fast Selection algorithm for Influence Maximisation (TsFSIM) is proposed in this paper. …”
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ABF-RRT*: Bidirectional fast optimal rapidly-exploring random tree via adaptive sampling of a permissible hyper-ellipsoid by Zhaoyang Zeng, Yufang Chang

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