Search Results - (( data integration surface algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan
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Citation Index Journal -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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3D bathymetry reconstruction from airborne topsar polarized data
Published 2007“…Volterra algorithm is used to simulate the ocean surface current from TOPSAR data. …”
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Book Section -
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Facial features point localization using modified SIFT scale space / Zulfikri Paidi
Published 2020“…This study aimed to develop a new algorithm in the form of hybrids when the scaling technique in SIFT was integrated with another technique. …”
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Volumetric spatiotemporal data model
Published 2007“…Time has been integrated with the data model and temporal version of volumetric surface data can be stored by using the model. …”
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Book Section -
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Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data
Published 2008“…The model can store and manage surface movement data while reducing the redundancy of data in the database system. …”
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Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat
Published 2024“…This is due to the data generated from the numerical model possess the pattern for the ML algorithm ease of prediction. …”
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Machine learning application for concrete surface defects automatic damage classification
Published 2024“…The Gray Level Co-Occurrence Matrix (GLCM) is used to create an image processing and feature extraction algorithm. This model is trained using 80% of the image data and tested using another 20% of the image data. …”
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Article -
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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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An estimation algorithm for improved maritime obstacle detection
Published 2024“…This paper presents an advanced estimation algorithm for improving obstacle detection in maritime navigation by integrating data from Velodyne LiDAR HDL-32E and a ZED2I depth camera on the Riptide Unmanned Surface Vehicle. …”
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Proceeding Paper -
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Measuring height of high-voltage transmission poles using unmanned aerial vehicle (UAV) imagery
Published 2017“…The authors propose an UAV approach that utilises a digital surface model and incorporates a stereo matching algorithm based on UAV stereo images. …”
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Craniofacial surgery simulation using volumetric object representations
Published 2006“…This research focuses on development of a system for simulation of craniofacial reconstruction surgery based on CT and laser scan data. The surfaces of soft tissue and hard tissue have been extracted from CT data using Marching Cubes algorithm and are rendered with surface based methods. …”
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Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing
Published 2015“…First, the OBIA of a WV-2 image and LiDAR height information was employed to improve urban surface material classification. This data integration resulted in an improvement of 7% in the overall classification accuracy of the WV-2 image. …”
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Classification of hand gestures from EMG signals / Diaa Albitar
Published 2022“…The features are for developing classification models using three algorithms that include k-Nearest Neighbour (K-NN), Support Vector Machine (SVM), and Convolution Neural Network(CNN). 80% of the data used by the classifier is used for training while the rest 20% Is used for testing. …”
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