Search Results - (( ((using factor) OR (using vector)) method algorithm ) OR ( java application sensor algorithm ))
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A Study On The Effects Of Noise Level, Cleaning Method, And Vectorization Software On The Quality Of Vector Data.
Published 2007“…In this paper we study different factors that affect vector quality. Noise level, cleaning method, and vectorization software are three factors that may influence the resulting vector data. …”
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Conference or Workshop Item -
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The influence of sentiments in digital currency prediction using hybrid sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)
Published 2021“…Support Vector Machine (SVM) technique is used with the Whale Optimization Algorithm (WOA) which is inspired by the swarm optimization algorithms. …”
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Proceeding Paper -
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Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants
Published 2019“…In this study comparing the performance classification techniques of Support Vector Machine (SVM) and C4.5 algorithms. The attributes used consist of Leaves, Stems, and Fruits. …”
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Landslide risk zoning using support vector machine algorithm
Published 2024“…The weighted maps were then combined using the support vector machine algorithm. For the training and testing of the machine, 81 slippery ground points and 81 non-sliding points were used. …”
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Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China
Published 2024“…The results indicate that the proposed models can be used to predict HPG efficiently and could be an effective method for energy decision-makers. …”
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Multi-scene design analysis of integrated energy system based on feature extraction algorithm
Published 2022“…Then, convolution neural network is used to extract the feature vectors of comprehensive environmental factors. …”
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Due to that reason, this study attempts to use SVM algorithm on employee’s performance databases for talent classification. …”
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Research Reports -
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Random forest algorithm for co2 water alternating gas incremental recovery factor prediction
Published 2020“…The aim of this paper is using an ensemble machine learning algorithm to develop a WAG incremental recovery factor predictive model that can be used by reservoir engineers to estimate WAG incremental recovery factor prior kick-off of laboratory experiments and comprehensive technical studies. …”
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Improved TLBO-JAYA Algorithm for Subset Feature Selection and Parameter Optimisation in Intrusion Detection System
Published 2020“…The proposed method combined the improved teaching-learning-based optimisation (ITLBO) algorithm, improved parallel JAYA (IPJAYA) algorithm, and support vector machine. …”
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr...
Published 2024“…For water level prediction, lagged rainfall and water level are used. In this study, we used extreme learning machine (ELM)-multi-kernel least square support vector machine (ELM-MKLSSVM), extreme learning machine (ELM)-LSSVM-polynomial kernel function (PKF) (ELM-LSSVM-PKF), ELM-LSSVM-radial basis kernel function (RBF) (ELM-LSSVM-RBF), ELM-LSSVM-Linear Kernel function (LKF), ELM, and MKLSSVM models to predict water level. …”
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Analysis of the dynamics of a vector-borne infection with the effect of imperfect vaccination from a fractional perspective
Published 2024“…To assess the impact of various parameters on the dynamics of chikungunya, we examine solution pathways using the Laplace-Adomian method of disintegration. …”
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Modeling and implementation of space vector modulation for three-phase direct torque control matrix converter
Published 2013“…The combination of DTC-PSO technique generates the required voltage vectors under 0.86 input power factor operations and it also gains the change regularity between efficiency and power factor. …”
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Thesis -
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Classification of basal stem rot disease in oil palm using dielectric spectroscopy
Published 2018“…First, features selection algorithms (genetic algorithm (GA), random forest (RF), and support vector machine-feature selection (SVM-FS)) were used to select the most significant frequencies. …”
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Thesis -
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Model predictive control based on Lyapunov function and near state vector selection of four-leg inverter / Abdul Mannan Dadu
Published 2018“…The position of reference currents is used to detect the voltage vectors surrounding the reference voltage vector in every sampling period. …”
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Thesis -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…For example, in video compression, the use of motion vectors on individual macro-blocks optimized the motion vector information. …”
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Book Chapter -
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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm
Published 2022“…In the first stage of this research, the correlations between management pledge, environmentally friendly design, and green material usage on the expected innovation level in green supply chains are investigated. Then, a new method for using fuzzy weights of the factors used in the Support Vector Machine algorithm is proposed. …”
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