An Approach to Segmenting Initial Object Movement in Visual Sensor Networks by Seok-Woo Jang, Si-Ho Cha

“…The motion vectors corresponding to the noise or objects are clustered with an unsupervised clustering algorithm to segment the individual moving objects. …”
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Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation. by Taochang Li, Ang Li, Limin Hou

“…First, the diversity of the population and the global exploration capability of the algorithm are enhanced through the integration of the Cauchy mutation strategy and uniform distribution strategy. …”
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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework by Mousmita Sarma, Kandarpa Kumar Sarma

“…This paper describes an Artificial Neural Network (ANN) based algorithm developed for the segmentation and recognition of the vowel phonemes of Assamese language from some words containing those vowels. …”
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The effect of using Naive Bayes to detect spam email by Sun Zehui

“…This paper focuses on the spam detection method based on the plain Bayesian algorithm. The plain Bayesian algorithm is particularly suitable for spam detection due to its high detection accuracy and its wide application in text classification tasks. …”
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Assessing the Reliability of a Multistate Logistics Network under the Transportation Cost Constraint by Qi Zeng, Xiu-Zhen Xu

“…The proposed algorithm employs a decomposition technique to divide the search space of (d,c)-MPs such that the search space of (d,c)-MPs can be dramatically reduced, and thereby (d,c)-MPs can be efficiently obtained. …”
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Land cover classification of high-resolution remote sensing images based on improved spectral clustering. by Song Wu, Jian-Min Cao, Xin-Yu Zhao

“…Using remote sensing imagery from the ZY1-02D satellite's VNIC and AHSI cameras as the basis, multi-source feature information encompassing spectral, edge shape, and texture features was extracted as the data source. The Lanczos algorithm, which determines the largest eigenpairs of a high-order matrix, was integrated with the spectral clustering algorithm to solve for eigenvalues and eigenvectors. …”
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A Fully Nonlinear, Dynamically Consistent Numerical Model for Ship Maneuvering in a Seaway by Ray-Qing Lin, Weijia Kuang

“…We have tested this algorithm with several well-documented maneuvering experiments, and our results agree very well with experimental data. …”
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Data Gathering in Opportunistic Wireless Sensor Networks by Yongxuan Lai, Ziyu Lin

“…In this paper, we propose an efficient data gathering algorithm based on location prediction in opportunistic wireless sensor networks. …”
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An Interior Point Method for Solving Semidefinite Programs Using Cutting Planes and Weighted Analytic Centers by John Machacek, Shafiu Jibrin

“…SDP-CUT iteratively refines the feasible region to achieve the optimal solution. The algorithm uses Newton’s method to compute the weighted analytic center. …”
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Coping with Nonstationarity in Categorical Time Series by Monnie McGee, Ian Harris

“…In this paper, we introduce an algorithm which corrects for nonstationarity in categorical time series. …”
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Application of the BP Neural Network Model of Gray Relational Analysis in Economic Management by Zhuojie Li

“…According to the BP neural network algorithm, for the problem that the input variables of the BP network cannot be automatically optimized during the modeling process of the multivariable complex system, it is used to establish a neural network optimization algorithm according to the gray correlation analysis (GM2 BPANN). …”
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Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions by Hanbyul Lee, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, Young-Seob Jeong

“…In order to overcome the imbalance problem, our model performs a hybrid sampling which combines synthetic minority oversampling technique (SMOTE) algorithm with edited nearest neighbor (ENN) algorithm and reduces the dimensionality of the dataset using principal component analysis (PCA) algorithm during data preprocessing. …”
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Application of Soft Computing Paradigm to Large Deformation Analysis of Cantilever Beam under Point Load by Yanmei Cui, Yong Hong, Naveed Ahmad Khan, Muhammad Sulaiman

“…The statistical analysis of performance indicators in terms of mean, median, and standard deviations further establishes the worth of ANN-GNDO-SQP algorithm.…”
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ADAPTIVE LEARNING OF HIDDEN MARKOV MODELS FOR EMOTIONAL SPEECH by A. V. Tkachenia

“…An on-line unsupervised algorithm for estimating the hidden Markov models (HMM) parame-ters is presented. …”
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Convergence of a New Modified Ishikawa Type Iteration for Common Fixed Points of Total Asymptotically Strict Pseudocontractive Semigroups by Yuanheng Wang, Chunjie Wang

“…The purpose of this paper is to give a new modified Ishikawa type iteration algorithm for common fixed points of total asymptotically strict pseudocontractive semigroups. …”
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AN APPLICATION OF FUZZY PARTICLE SWARM OPTIMIZATION FOR CUSTOMER ANALYSIS by Nguyễn Thị Như Na

“…This article presents the application of the Fuzzy Particle Swarm Optimization algorithm for analyzing customer needs. Applying Fuzzy Particle Swarm Optimization algorithm to the problem of a US medical device supplier wanting to analyze the needs of 500 hospitals, in the region in terms of, medical equipment and supplies, the needs analysis assisted. …”
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On some computer tomography mathematical problems by Raimondas Čiegis, Aleksandras Krylovas, Mečislavas Meilūnas

“… In this paper we investigate a new algorithm for determination of a human brain ischemic stroke region on CT images. …”
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Comparison of SUPG with Bubble Stabilization Parameters and the Standard SUPG by Xiaowei Liu, Jin Zhang

“…Relationship between the new algorithm and the standard SUPG will be explored. Numerical experiments support these results.…”
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Fault Detection and Behavior Analysis of Wheelset Bearing Using Adaptive Convolutional Sparse Coding Technique Combined with Bandwidth Optimization by Liu He, Cai Yi, Jianhui Lin, Andy C.C. Tan

“…Union of convolutional dictionary learning algorithm (UC-DLA) is an efficient algorithm in CSCT-DLA. …”
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Nonpenalty Machine Learning Constraint Handling Using PSO-SVM for Structural Optimization by Marco M. Rosso, Raffaele Cucuzza, Fabio Di Trapani, Giuseppe C. Marano

“…To preserve the feasibility of the population, a simple bisection algorithm is also implemented. To improve the search performances of the algorithm, a relaxation function of the constraints is also adopted. …”
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