Search Results - (( data application testing algorithm ) OR ( data visualization a algorithm ))
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1
HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION
Published 2011“…A simple rendering algorithm, i.e. sine wave, produces a more stable force feedback, yet lacks surface details compared to the visual texture information approach.…”
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…It is noted that active user intervention increases the acceleration of Genetic Algorithm towards an optimal solution. In proposed research work, the user is aided by a visualization based on the representation of multidimensional Genetic Algorithm data on 2-0 space. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…However, both algorithms tested on MASTER dataset produced different results. …”
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E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam
Published 2020“…For this project, it will use Agile methodology that has five phases, which are requirement analysis phase, design phase, development phase, testing phase and maintenance. Therefore, a progressive web-based information retrieval visualization system that utilizes Term Frequency-Inverse Document Frequency (TFIDF) algorithm and data visualization are suggested to solve these problems. …”
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Application of Hybrid Evolutionary Algorithm and thematic map for rule set generation and visualization of chlorophyta abundance at Putrajaya lake / Lau Chia Fong
Published 2013“…This study describes application of a hybrid combination of hybrid evolutionary algorithm (HEA) and thematic map visualization technique in modeling, predicting and visualization of selected algae division growth, Chlorophyta for tropical Putrajaya Lakes and Wetlands (Malaysia). …”
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An efficient real-time terrain data organization and visualization algorithm based on enhanced triangle-based level of detail technique
Published 2006“…A prototype system has been developed using digital elevation data for testing purposes. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Computer A will be sent the data to computer B through the internet/LAN using JAVA program. …”
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Monograph -
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SENSORY EXPERT: DEVICE FOR SENSORY TEST
Published 2018“…The data is then sent to a Gmail as a storage by developing algorithm in Wi-Fi module NodeMCU ESP8266. …”
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Final Year Project -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…Whereas the process of examining through the web pages, retrieving and searching the relevant data in a liTML page, and selecting the best satisfying data are based on the features and operations of the Genetic Algorithms.…”
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10
Development of obstable avoidance system for 3D robot navigation
Published 2024“…To prepare for obstacle avoidance algorithm development, a differential drive robot was constructed, and a URDF description was prepared to ensure correct odometry data conversion from sensor coordinate frames to the robot coordinate frame. …”
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Final Year Project / Dissertation / Thesis -
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Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The data collected included the results of a practicality and effectiveness test involving sixty-six students. …”
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Article -
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Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data
Published 2008“…In order to test and evaluate the SMST Data Model, a database management system with a loading and a retrieval algorithm suitable to this model were developed. …”
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Classification and visualization on eligibility rate of applicant’s LinkedIn account using Naïve Bayes / Nurul Atirah Ahmad
Published 2023“…This project implements the Naive Bayes algorithm as the classification algorithm. The collected data from LinkedIn profiles then undergoes data preprocessing. …”
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14
Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…This tool can be used to ease the process of developing a new March test algorithm for NPSF.…”
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A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies
Published 2010“…Further, GSA has been compared with a third-order correlation (TOC) method, using both realistic simulation and real patient data gathered in a hospital. …”
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Citation Index Journal -
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Image steganography using web application / Nor Arzami Othman ... [et al.]
Published 2023“…The application utilizes an advanced steganographic algorithm, which is Randomized Least Significant Bit (RLSB), to ensure robust data concealment while maintaining the visual integrity of the cover image. …”
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Efficient selective encryption schemes to secure video data and moving objects information for HEVC/H.265 using advanced encryption standard / Mohammed Ahmed Mohammed Saleh
Published 2016“…To do so, that data has to be subjected to a compression process. …”
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Single-Trial Subspace-Based Approach for VEP Extraction
Published 2010“…N. Kamel is with the A signal subspace approach for extracting visual evoked potentials (VEPs) from the background electroencephalogram (EEG) colored noise without the need for a pre-whitening stage is proposed. …”
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Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…Then, a Machine Learning Algorithm (MLA) is used to train and test the data before a classifier is used to classify the new incoming dataset. …”
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Proceeding Paper -
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Improving F-Score of the imbalance visualized pattern dataset for yield prediction robustness
Published 2008“…In a non closed loop manufacturing process, a prediction model of the yield outcome can be achieved by visualizing the temporal historical data pattern generated from the inspection machine, discretize to visualized data patterns, and map them into machine learning algorithm.Our previous study shows that combination of under-sampling and over sampling techniques unabel wider range of data sets where SMOTE+VDM and random under-sampling produced robust classifier performance of handling better with different batches of prediction test data.In this paper, the integration of K* entropy base similarity distance function with SMOTE, CNN+Tomek Links and the introduction of SMOTE and SMaRT (Synthetic Majority Replacement Technique)combination, has improved the classifiers F-Score robustness.…”
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