A Multicriteria Evaluation of Single Underwater Image Improvement Algorithms by Iracema del P. Angulo-Fernández, Javier Bello-Pineda, J. Alejandro Vásquez-Santacruz, Rogelio de J. Portillo-Vélez, Pedro J. García-Ramírez, Luis F. Marín-Urías

“…Enhancement and restoration algorithms are widely used in the exploration of coral reefs for improving underwater images. …”
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DEVELOPMENT OF ALGORITHM OF PLANNING OF INCREASE OF COMPETITIVENESS OF AUTO REPAIR BUSINESSES by Remzi Ablaev, Tatiana Cocodei, Julia Antokhina

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Research of Exoskeleton Trajectory Algorithm based on Homogeneous Differential Equation by Liang Yuhang, Liang Guoxing, Li Zhili, Song Jinpeng, Ren Qichao

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Algorithms for Finding Inverse of Two Patterned Matrices over Zp by Xiaoyu Jiang, Kicheon Hong

“…Based on Newton-Hensel lifting and Chinese remaindering, two different algorithms are obtained. Moreover, the cost in terms of bit operations for each algorithm is given.…”
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Distance aware route algorithm for cloud computing based on CAN by HAN Zhi-jie1, HUANG Liu-sheng1, WANG Ru-chuan2, SUN Li-juan2, SHENG Ming1

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Amorphous Localization Algorithm Based on BP Artificial Neural Network by Lin-zhe Zhao, Xian-bin Wen, Dan Li

“…Because the disadvantages of the classical Amorphous algorithm will produce large localization error in the process of localization, an improved localization algorithm is proposed in this paper to solve the problem. …”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Therefore, a classification for rail defects based on image processing algorithm was proposed. Firstly, the Tamura texture feature algorithm was combined with the local binary pattern algorithm to extract the feature values of the defect images, and form feature vectors. …”
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Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals by Y. P. Aslamov, I. G. Davydov

“…Five modifications of the sparse wavelet decomposition algorithm for automatic analysis of the vibration signals waveform were proposed in the article. …”
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Cone Algorithm of Spinning Vehicles under Dynamic Coning Environment by Shuang-biao Zhang, Xing-cheng Li, Zhong Su

“…Then, through investigation of the effect on Euler attitude algorithm for the equivalency of traditional attitude algorithm, it is found that attitude error is actually the roll angle error including drifting error and oscillating error, which is induced directly by dynamic coning environment and further affects the pitch angle and yaw angle through transferring. …”
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Genetic Algorithm Optimization of the Volute Shape of a Centrifugal Compressor by Martin Heinrich, Rüdiger Schwarze

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Development of six-degree of freedom strapdown terrestrial INS algorithm by Baghdad Science Journal

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Systemizing and Transforming Preterm Oral Feeding Through Innovative Algorithms by Rena Rosenthal, Jean Chow, Erin Sundseth Ross, Rudaina Banihani, Natalie Antonacci, Karli Gavendo, Elizabeth Asztalos

“…To complement and support these algorithms, educational materials and a comprehensive documentation process were also created. …”
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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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A Reliable Application of MPC for Securing the Tri-Training Algorithm by Hendra Kurniawan, Masahiro Mambo

“…In this paper we propose a Privacy-preserving Distributed Data Mining (PPDDM) method by designing a reliable application of secure MPC to semi-supervised tri-training algorithms. We simulate the original tri-training algorithm and tri-training algorithm with secure MPC using a different types of classifiers and datasets. …”
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Cloud removal from satellite imagery based on SUSAN algorithm by LU Li1, WANG Yong-tao1, TIAN Jin-wen1, LIU Jian1

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Selective Feature Fusion Based Adaptive Image Segmentation Algorithm by Qianwen Li, Zhihua Wei, Wen Shen

“…Moreover, our proposed algorithm obtains promising results and outperforms some popular approaches.…”
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A Kind of Dynamic Clustering Algorithm Based on Angle Measurement by HE Yun bin, SUN Nuan, WAN Jing, LI Song

Subjects: “…kfcm algorithm…”
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Algorithm for Non-Contact Monitoring of the Performance of Electronic Equipment Elements by A. V. Grinkevich, А. А. Denis, Т. М. Marchuk

“…The types of faults in printed circuit units have been identified and systematized, a classificationof methods for their diagnosis has been made, an algorithm for contactless monitoring of the performance of radioelectronic equipment elements has been developed, and a device structure for its implementation has been proposed.…”
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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

“…This study explores the use of the Random Forest (RF) algorithm as a machine learning approach to classify patients with BD and healthy controls based on electroencephalogram (EEG) data. …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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