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1
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Second compression for pixelated images under edge-based compression algorithms: JPEG-LS as an example
Published 2021“…This paper details the examination of a particular case of data compression, where the compression algorithm removes the redundancy from data, which occurs when edge-based compression algorithms compress (previously com- pressed) pixelated images. …”
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Enhanced Model Compression for Lipreading Recognition based on Knowledge Distillation Algorithm
Published 2025“…Therefore, three knowledge distillation compression algorithms are proposed in this paper: Three different knowledge distillation compression algorithms, an offline model compression algorithm based on multi-feature transfer (MTOF), an online model compression algorithm based on adversarial learning (ALON), and an online model compression algorithm based on consistent regularization(CRON) to complete the compression of the Chinese character sequence output by the model. …”
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Analysis of string matching compression algorithms
Published 2008“…The compression algorithms are string matching based which are LZW and LZSS. …”
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Thresholding and quantization algorithms for image compression techniques : a review
Published 2018“…Recently, there is a growing interest among researchers focusing on compression of various types of images and data. Amongst various compression algorithms, transform-based compression is one of the promising algorithms. …”
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Thresholding and quantization algorithms for image compression techniques: a review
Published 2018“…Recently, there is a growing interest among researchers focusing on compression of various types of images and data. Amongst various compression algorithms, transform-based compression is one of the promising algorithms. …”
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Enhancement of medical image compression algorithm in noisy WLANS transmission
Published 2018“…Advances in telemedicine technology enable rapid medical diagnoses with visualization and quantitative assessment by medical practitioners.In healthcare and hospital networks,medical data exchange-based wireless local area network (WLAN) transceivers remain challenging because of their growing data size,real-time contact with compressed images,and range of bandwidths requiring transmission support.Prior to transmission,medical data are compressed to minimize transmission bandwidth and save transmitting power.Researchers address many challenges in improving performance of compression approaches.Such challenges include energy compaction, computational complexity,high entropy value,drive low compression ratio (CR) and high computational complexity in real-time implementation.Thus,a new approach called Enhanced Independent Component Analysis (EICA) for medical image compression has been developed to boost compression techniques;which transform the image data by block-based Independent Component Analysis (ICA).The proposed method uses Fast Independent Component Analysis (FastICA) algorithm followed by developed quantization architecture based zero quantized coefficients percentage (ZQCP) prediction model using artificial neural network. …”
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Expanding the data capacity of QR codes using multiple compression algorithms and base64 encode/decode
Published 2017“…This study focuses on the selection of compression algorithms and use base64 encoder/decoder to increase the capacity of data which is to be stored in the QR code. …”
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Performance evaluation of compression techniques on scientific dataset / Lam Wai Leong
Published 2006“…Though most theoretical background of compression tool compresses datasets based on Lempel-ziv’s algorithm, in reality, these tools varied when it comes to compressing a binary file to a text file or a graphical one. …”
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10
Development of high quality speech compression system for Quranic recitation based on modified CELP algorithm
Published 2013“…Next, we optimize CELP algorithm based on previous findings by modifying the original stochastic codebook. …”
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An efficient secure ECG compression based on 2D-SPIHT and SIT algorithm
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Optimizing lossless compression by normalized data length in Huffman Algorithm
Published 2022“…Based on the literature review, the measurement of the compression performance for files archives is to use the Compression Ratio (CR) and Compression Time (CT) indicators. …”
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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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Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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DNA sequences compression by GP2R and selective encryption using modified RSA technique
Published 2020“…The proposed algorithm is a new Lossless Compression algorithm, which compresses data, based on two tiers. …”
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Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation
Published 2000“…This thesis focuses on ways to improve the existing solutions in the algorithmic and implementation aspects. For the algorithmic aspect, the basic principles of motion compensated DCT block-based compression scheme was studied. …”
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Performance evaluation of different data aggregation algorithms for different types of sensors in WSN based cluster
Published 2018“…In this project three different data aggregation algorithms coding schemes based relative difference (CS-RD), an adaptive method of data aggregation that exploits the spatial correlation between the sensor nodes (ADAM) and coding schemes based the factor of precision (CS-FP) are evaluated. …”
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Predicting uniaxial compressive strength using Support Vector Machine algorithm
Published 2019“…Compressive strength is the most important parameter in rock since all loads will be transferred and rest on the rock which is based on the load bearing capacity of rock in compression. …”
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