Search Results - parallel information extraction algorithm
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Automated plant recognition system based on multi-objective parallel genetic algorithm and neural network
Published 2014“…To conclude, multi objective parallel genetic algorithm can automatically tune feed forward neural network to classify the dataset with a good classification rate.…”
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Thesis -
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
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Parallelizing web scraping to improve performance and scalability
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Projecting named entity tags from a resource rich language to a resource poor language
Published 2012“…Named Entities (NE) are the prominent entities appearing in textual documents.Automatic classification of NE in a textual corpus is a vital process in Information Extraction and Information Retrieval research. …”
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Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…Automatic classification of NE in a textual corpus is a vital process in Information Extraction and Information Retrieval research. …”
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Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…Automatic classification of NE in a textual corpus is a vital process in Information Extraction and Information Retrieval research. …”
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Projecting named entity tags from a resource rich language to a resource poor language
Published 2013“…Automatic classification of NE in a textual corpus is a vital process in Information Extraction and Information Retrieval research. …”
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Identifying The Ethical Issues In Twitter: A Knowledge Acquisition For Ontology
Published 2024“…Social media is an open platform to communicate, share and exchange information freely. This uncontrolled exchanged information carries out both negative and positive impacts in others’ lives. …”
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Mapreduce algorithm for weather dataset
Published 2017“…The temperature, humidity and visibility attributes from the dataset has been extracted by the MapReduce Algorithm into structure data. …”
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Thesis -
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MapReduce algorithm for weather dataset
Published 2018“…The temperature, humidity and visibility attributes from the dataset has been extracted by the MapReduce Algorithm into structure data. …”
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Research Report -
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Identifying the ethical issues in Twitter: a knowledge acquisition for ontology
Published 2021“…Social media is an open platform to communicate, share and exchange information freely. This uncontrolled exchanged information carries out both negative and positive impacts in others’ lives. …”
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Real-time Rotation Invariant Hand Tracking Using 3D Data
Published 2014“…However, using marker based need to attach marker on hands or wear glove to make hand can be detected. When use color information needs to extract many different skin color. …”
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Conference or Workshop Item -
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Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
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A novel neuroscience-inspired architecture: for computer vision applications
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Proceeding Paper -
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…Stereo vision sensor consists of two stereo cameras, mounted parallel in stationary position. Stereo vision sensor can provide color and texture information for easy data and feature extraction. …”
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Thesis -
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WiFi-based human activity recognition through wall using deep learning
Published 2023“…Furthermore, a deep learning algorithm based on RNN with an LSTM algorithm is used to classify the activity instances indoors, achieving up to 97.5% accuracy in classifying seven activities. …”
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