Search Results - (( data application testing algorithm ) OR ( data visualization based algorithm ))
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1
HAPTIC VISUALIZATION USING VISUAL TEXTURE INFORMATION
Published 2011“…The design of the proposed framework involves haptic texture rendering algorithm and query algorithm. The proposed framework integrates computer haptic and content based image retrieval (CBIR) where haptic texture rendering is performed based on extracted cloth data. …”
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2
VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…The aim of the proposed approach is to study the benefit of using visualization techniques to explorer Genetic Algorithm data based on gene values. …”
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3
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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4
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. The system was evaluated based on the following criteria, namely: data size, processing time for data partitioning, memory usage, loading time, frame rate, triangle count and geometric throughput. …”
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5
E-Hadith DV: Hadith scriptures in Syafie Madhhab retrieval using data visualization / Nor Faezahtul Salme Norhisam
Published 2020“…Next, the TF-IDF algorithm is performed on the processed data to find the relevant hadith based on the user’s query. …”
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6
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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7
Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Navigation algorithms are tested in a variety of differently shaped environments to encourage the development of robust solutions, and reduce the possibility of solutions based on memorization of a fixed set of movements. …”
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Monograph -
8
Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data
Published 2008“…The retrieved data from the database system is saved in the proposed data format for surface movement visualization. …”
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9
Virtual reality in algorithm programming course: practicality and implications for college students
Published 2024“…The reliability of VR supports various variations in learning, including learning programming algorithms. This research aims to design and develop VR in learning programming algorithms. …”
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Article -
10
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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11
Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory
Published 2011“…This automated generator will facilitate NPSF analysis as manual fault analysis is no longer practical due to increasing memory size. The algorithms used in this generator are based on March algorithm. …”
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12
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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Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
Published 2022“…In this article, the researchers design an algorithm and apply it to a computer program (Python) to solve graph coloring and to visualize the variation of exam scheduling modeling at Binus University in graphs based on the Bitwise Graph Coloring Algorithm. …”
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14
Single-Trial Subspace-Based Approach for VEP Extraction
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A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies
Published 2010“…An optimization and eigen-decomposition-based subspace approach has been investigated and tested to estimate the latencies of visual evoked potential (VEP) signals which are highly corrupted by spontaneous electro-encephalogram (EEG) waveforms that can be considered as colored noise. …”
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Citation Index Journal -
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Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli
Published 2021“…The main goal of this study is to create an online food ordering app using the corresponding Boyer-Moore string matching algorithm. The application evaluation process is carried out by the developer's functionality test to ensure that there are no unnecessary issues in this app, especially in the main feature. …”
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17
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…The algorithm gives a mean accuracy of 84% out of 125 test images.…”
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Final Year Project -
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Jobs Visualization and Salary Prediction System Based on Jobstreet Malaysia / Khyrina Airin Fariza Abu Samah ... [et al.]
Published 2021“…Linear Regression algorithm was used to predict the salary and tested using mean absolute error to validate the prediction. …”
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Conference or Workshop Item -
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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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20
Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…Supervised and unsupervised machine learning algorithms particularly the Support Vector Machine (SVM) and Density Based Spatial Clustering of Application with Noise (DBSCAN) are used in this study. …”
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Thesis
