Search Results - (( java application stemming algorithm ) OR ( basic operation machine algorithm ))
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Development of cell formation algorithm and model for cellular manufacturing system
Published 2011“…These issues consist of workload balancing among cells and operation issues such as machines assignment, inter/intra-cells material handling, workers assignment,subcontracting based on operational time, operation sequence of the parts and assessing effects of these parameters on cell design in dynamic environment. …”
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Results of studying color segmentation using machine-learning algorithm and color space analysis is presented in this thesis. …”
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
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Enhancement of network security by use machine learning
Published 2019“…By the end of the research, graphs and animation system have done shown to demonstrate the basic operation of the enhance network with machine learning system. …”
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Automatic generic process migration system in linux
Published 2012“…A fexible interface to the underlying checkpoint/ restart subsystem is designed which permits users to specify the migration mechanism according to process constraints. A migration algorithm is designed which attempts to exploit the unique features of the basic migration algorithms to form a generic algorithm. …”
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A new modern scheme for solving fractal–fractional differential equations based on deep feedforward neural network with multiple hidden layer
Published 2024“…During the initial stage of the method development, the basic framework on solving FFDEs is designed. To minimize the burden of computational time, the vectorized algorithm is constructed at the next stage for method to be performed efficiently. …”
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Empirical study on intelligent android malware detection based on supervised machine learning
Published 2020“…More significantly, this paper empirically discusses and compares the performances of six supervised machine learning algorithms, known as K-Nearest Neighbors (K-NN), Decision Tree (DT), Support Vector Machine (SVM), Random Forest (RF), Naïve Bayes (NB), and Logistic Regression (LR), which are commonly used in the literature for detecting malware apps.…”
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Text-based emotion prediction system using machine learning approach
Published 2020“…Therefore, four supervised machine learning classification algorithms such as Multinomial Naïve Bayes, Support Vector Machine, Decision Trees, and kNearest Neighbors were investigated. …”
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Bundle Sorting Mobile Application
Published 2020“…It has been introduced by manufacturing that operated in Germany. This innovation of IT development changes from the manufacturing process that involved machine to digital automated production in the production line. …”
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Review of deep convolution neural network in image classification
Published 2017“…This paper first introduces the rise and development of deep learning and convolution neural network, and summarizes the basic model structure, convolution feature extraction and pooling operation of convolution neural network. …”
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Machining characteristics of hastelloy c-2000 in end milling using artificial intelligence approach
Published 2012“…This research work deals with the machining characteristics of Hastelloy C-2000 in the end milling operations. …”
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Web Camera Application For Motion Detection
Published 2003“…The web camera is only operable with the web camera driver installed in the PC. …”
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Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks
Published 2024“…This scheme incorporates machine learning techniques by utilizing Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) classification algorithms to accurately identify and handle malicious network traffic following the initial packet filtration process that identifies abnormal traffic. …”
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17
Indirect Rotor Field Oriented Control of Induction Motor With Rotor Time Constant Estimation
Published 2004“…Simulation and experimental results were presented and compared to verify the validity of the proposed estimator for different operating conditions.…”
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…Eight datasets from machine learning repositories and domain theories are tested by the TIP model. …”
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Real-time oil palm fruit bunch ripeness grading system using image processing techniques
Published 2013“…These ROIs were based on the training and the testing of the ANN, KNN, and SVM supervised machine-learning classifiers. Statistical measurements, such as the area under the receiver operating characteristic (ROC) curve (AUC), are used to evaluate classifier performance. …”
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