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42 results for “Parameter Optimization”
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Research ArticleOpen accessPhrase in the titleParameter Optimization of Gradient Tree Boosting Using Dragonfly Algorithm in Crime Forecasting and AnalysisAlif Ridzuan Khairuddin, Nor Azizah Ali, Razana Alwee et al.Crime forecasting and analysis are very important in predicting future crime patterns and beneficial to the authorities in planning effective crime prevention measures. One of the challenges found in crime analysis is the crime data itself as its form, representation and distribution are varied and unpredictable. To handle such data, most researchers have been focusing on applying various Artificial Intelligence … …Journal of Computer Science, Vol. 15, Issue 8 · 7 Aug 2019 · 7,918 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleWorking Process Analysis and Parameter Optimization of Millet Hill-Drop Seed Metering DeviceTao Chen, Shujuan Yi, Yifei LiDue to the small size, light weight, and impurities of millet, the existing seeders have poor quality when sowing millet, this study analyzed the working process of the pneumatic-mechanical combined seed metering device, established the equations of seed movement in the seed filling zone, seed cleaning up zone, seed carrying zone and seed dropping zone by dynamic theory. The theoretical … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 12 Aug 2023 · 6,508 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of Penalty Parameter in Penalized Nonlinear Canonical Correlation Analysis by using Cross-ValidationIsamu NagaiThere is Canonical Correlation Analysis (CCA) as a way to find a linear relationship between a pair of random vectors. However, CCA cannot find a nonlinear relationship between them since the method maximizes the correlation between linear combinations of the vectors. In order to find the nonlinear relationship, we convert the vectors through some known conversion functions like a kernel … …Journal of Mathematics and Statistics, Vol. 11, Issue 3 · 22 Dec 2015 · 7,661 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParameter Settings for New Generational Genetic Algorithms for Solving Global Optimization ProblemsSiew Mooi Lim, Md. Nasir Sulaiman, Norwati Mustapha, Abu Bakar Md. SultanThis study operates within experimental design with two main tools of Taguchi method namely orthogonal array and signal to noise ratio to discover the optimal parameter settings for newly proposed generational genetic algorithms; they are Laplace Crossover-Scale Truncated Pareto Mutation (LX-STPM) and Rayleigh Crossover-Scale Truncated Pareto Mutation (RX-STPM). It concluded that GA parameter settings are algorithms and problems dependent. …Journal of Computer Science, Vol. 11, Issue 11 · 7 Jan 2016 · 6,404 accessesView PDFCite
Research ArticleOpen accessIn the keywordsQuantum-Enhanced IoT-Cloud Security: Integrating SHAP and Variational Quantum ClassifiersVeena Antony, Nainan ThangarasuIn the current Internet era, there are now trillions of gadgets online, and the Internet of Things is becoming a necessary part of daily life. IoT devices are connected, but this also makes them vulnerable to cyberattacks. Cyberattacks targeting Internet of Things (IoT) systems have increased dramatically in both volume and sophistication in the last year. Determining the importance and … …Journal of Computer Science, Vol. 21, Issue 1 · 20 Dec 2024 · 4,951 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimization Design of Sea Cucumber Cleaning Parameters by Water JetXu Zhang, Changyuan Zhang, Fei Gao et al.Aiming at the problem that the cleaning effect and surface integrity of the mechanical cleaning process cannot be solved simultaneously in the pretreatment of sea cucumber and according to the requirements of high efficiency, high quality and economy of sea cucumber body surface cleaning, a continuous directional cleaning device for sea cucumber abdomen and back based on the principle of … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 15 Mar 2021 · 6,174 accessesView PDFCite
Research ArticleOpen accessIn the keywordsENHANCEMENT AND COMPARISON OF ANT COLONY OPTIMIZATION FOR SOFTWARE RELIABILITY MODELSLatha Shanmugam, Lilly FlorenceIn Common parlance, the traditional software reliability estimation methods often rely on assumptions like statistical distributions that are often dubious and unrealistic. The ability to predict the number of faults during development phase and a proper testing process helps in specifying timely release of software and efficient management of project resources. In the Present Study Enhancement and Comparison of Ant … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,561 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Neuro Fuzzy Technique for Process Grain Scheduling of Parallel JobsS. V. Sudha, K. ThanushkodiProblem statement: We present development of neural network based fuzzy inference system for scheduling of parallel Jobs with the help of a real life workload data. The performance evaluation of a parallel system mainly depends on how the processes are co scheduled? Various co scheduling techniques available are First Come First Served, Gang Scheduling, Flexible Co Scheduling and Agile Algorithm … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,457 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSolving the Periodic Maintenance Scheduling Problem via Genetic Algorithm to Balance Workforce Levels and Maintenance CostMohamed Ali Abdel-Fattah MansourProblem statement: In this article we address the multi-objective Periodic Maintenance Scheduling Problem (PMSP) of scheduling a set of cyclic maintenance operations for a given set of machines through a specified planning period to minimize the total variance of workforce levels measured in man-hours and maintenance costs with equal weights. Approach: The article proposed a mixed integer non-linear math programming … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 2 · 12 Jul 2011 · 8,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractGait Analysis Combining Sports Biomechanics and ImagingChao ZhuAiming at the problems of marker positioning error, soft tissue interference, and insufficient personalized modeling ability in traditional gait analysis, this study proposes a gait assessment method that integrates sports biomechanics and multimodal imaging analysis. Firstly, based on the public OU-ISIR gait database, a Convolutional Neural Network (CNN) is used to extract the key gait features in the human silhouette … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 850 accessesView PDFCite