Search Results - (( development using compressive algorithm ) OR ( java data optimization algorithm ))
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Compressing Images Using Multi-Level Wavelet Transform Algorithm (MWTA)
Published 2012“…This study aims to use Wavelet Transform Algorithm for image compression. …”
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Enhancement of medical image compression algorithm in noisy WLANS transmission
Published 2018“…For image reconstruction,decoding steps based the developed quantization architecture are examined.The EICA is particularly useful where the size of the transmitted data needs to be reduced to minimize the image transmission time.For data compression with suitable and effective performance,enhanced independent components analysis (EICA) is proposed as an algorithm for compression and decompression of medical data.A comparative analysis is performed based on existing data compression techniques:discrete cosine transform (DCT), set partitioning in hierarchical trees (SPIHT),and Joint Photographic Experts Group (JPEG 2000).Three main modules,namely,compression segment (CS),transceiver segment (TRS),and outcome segment (OTS) modules,are developed to realize a fully computerized simulation tool for medical data compression with suitable and effective performance.To compress medical data using algorithms,CS module involves four different approaches which are DCT, SPIHT,JPEG 2000 and EICA.TRS module is processed by low-cost WLANs with low-bandwidth transmission.Finally,OTS is used for data decompression and visualization result.In terms of compression module,results show the benefits of applying EICA in medical data compression and transmission.While for system design,the developed system displays favorable outcomes in compressing and transmitting medical data.In conclusion,all three modules (CS,TRS,and OTS) are integrated to yield a computerized prototype named as Medical Data Simulation System(Medata-SIM) computerized system that includes medical data compression and transceiver for visualization to aid medical practitioners in carrying out rapid diagnoses.…”
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Development of high quality speech compression system for Quranic recitation based on modified CELP algorithm
Published 2013“…Lastly, we evaluate the performance of the developed algorithm objectively using PESQ (Perceptual Evaluation of Speech Quality). …”
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Proceeding Paper -
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A random search based effective algorithm for pairwise test data generation
Published 2011“…This paper proposes an effective random search based pairwise test data generation algorithm named R2Way to optimize the number of test cases. …”
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Conference or Workshop Item -
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A Comparative Study on Compression of Different Image File Formats
Published 1999“…Some of the experiment was done twice with two different types of images to ensure that the results were accurate. The Algorithms used to compress and decompress the image ware Run Length Encoding (RLE) algorithm and Lampel-ziv and Welch (LZW) algorithm. …”
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Measuring the performance of image data by using RLE algorithm in lossless compression technique
Published 2015“…This result will produce by using lossless compression technique which is consist of four stage such as analysis, pre-processing, design, probability algorithm and testing.…”
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Undergraduates Project Papers -
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Scalable approach for mining association rules from structured XML data
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EasyA: Easy and effective way to generate pairwise test data
Published 2013“…This paper proposes a matrix based calculation for pairwise test data generation algorithm named EasyA to optimize the number of test cases. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Speech compression using compressive sensing on a multicore system
Published 2011“…In this paper, a novel algorithm for speech coding utilizing CS principle is developed. …”
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Proceeding Paper -
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Parallelization of speech compression based algorithm based on human auditory system on multicore system
Published 2012“…The objective of this research is to develop and implement a novel parallel speech compression algorithm based on human auditory system on a multicore system. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Image compression and decompression techniques for future application in transmission to remote monitoring center using telephone network: software development / Alwi Hasrat
Published 1995“…Both techniques can be performed by using LZW and Huffman algorithm. For future application, the compressed image file is to be used in image transmission over telephone network via modem to remote monitoring center. …”
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Machine learning technique for the prediction of blended concrete compressive strength
Published 2024“…The best predictions were achieved using one hidden layer with 14 and 15 neurons for LM and BR algorithms respectively. …”
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Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
Published 2007“…One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. …”
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