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  1. 1

    A lossless parallel data compression method using threads by Islam, Md. Rafiqul, Arifin, Md. Shamsul, Md. Sap, Mohd. Noor, Md. Shams Tibrizet, Kazi

    Published 2005
    “…In this paper, we have proposed a method for data compression, which significantly reduces the compression time. …”
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    Article
  2. 2

    Efficient and secured compression and steganography technique in wireless sensor network by Tuama, Ammar Yaseen

    Published 2016
    “…First, the new data compression algorithm is proposed for compressing sensed data before it gets transmitted to the sink. …”
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    Thesis
  3. 3

    A new compression algorithm for small data communication in wireless sensor network by Tuama, Ammar Yaseen, Mohamed, Mohamad Afendee, Muhammed, Abdullah, Mohd Hanapi, Zurina

    Published 2017
    “…In this paper, we propose a new lossless compression algorithm that can handle small data communication in WSNs. …”
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    Article
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    An efficient secure ECG compression based on 2D-SPIHT and SIT algorithm by Jati, Grafika, Rachmasari, Ardina Rizqy, Jatmiko, Wisnu, Mursanto, Petrus, Sediono, Wahju

    Published 2017
    “…This research proposes an efficient combination of a compression and an encryption algorithms. …”
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    Proceeding Paper
  6. 6

    Enhancement of medical image compression algorithm in noisy WLANS transmission by Algaet, Mustafa Almahdi

    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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    Improved thresholding and quantization techniques for image compression by Md Taujuddin, Nik Shahidah Afifi

    Published 2017
    “…Thus, the proposed algorithm provides an alternative technique to compress the digital image.…”
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  9. 9

    Use of new efficient lossless data compression method in transmitting encrypted Baptista symmetric chaotic cryptosystem data by Daud, M.A., Ariffin, M.R.K., Kularajasingam, S., Hussin, C.H.C., Juhan, N., Hasni, M.M.

    Published 2016
    “…The purposed algorithm has fast encoding and decoding mechanism and proven analytically to be a lossless data compression technique. …”
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    Article
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    Energy-efficient data transmission with clustering and compressive sensing in wireless sensor networks / Mukil Alagirisamy by Mukil , Alagirisamy

    Published 2020
    “…Compressive sensing techniques and data forwarding reduces the volume of sensed data and the number of transmissions. …”
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    Thesis
  12. 12

    Enhanced Model Compression for Lipreading Recognition based on Knowledge Distillation Algorithm by Qianru, Lu, Kuryati, Kipli, Tengku Mohd Afendi, Zulcaffle, Yuan, Liu, Xiangju, Liu, Bo, Wang

    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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    Article
  13. 13

    Optimizing lossless compression by normalized data length in Huffman Algorithm by Tonny, Hidayat

    Published 2022
    “…Huffman Algorithms is currently still very effective at compressing 8-bit data, which can be grouped into Static, Dynamic, and Adaptive extensions, however its performance cannot be determined if it is performed on data that has several variables and probabilities. …”
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    Thesis
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    Chaos-based simultaneous compression and encryption for Hadoop by Usama, M., Zakaria, N.

    Published 2017
    “…This paper focuses on the open-source Hadoop framework and proposes a data storage method that efficiently couples data compression with encryption. …”
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    Article
  17. 17

    Analysis of genetic data in for implementation of compression algorithm in Alzheimer's disease database by Zainol Abidin, Husna, M. Yassin, Ihsan, Abdul Rahman, Farah Yasmin

    Published 2011
    “…In this paper, we present the initial analysis of the data to identify candidates for compression, as well as implement the proposed compression algorithm to those data.…”
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    Research Reports
  18. 18

    Objective evaluation of speech enhancement using compressive sensing algorithm by Sulong, Amart, Gunawan, Teddy Surya, Khalifa, Othman Omran, Chebil, Jalel

    Published 2013
    “…The CS algorithm, can directly acquire compressed data signals and replace samples by more general measurements of the uniform rate digitization with signal sparsity model. …”
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    Proceeding Paper
  19. 19

    Speech compression using compressive sensing on a multicore system by Gunawan, Teddy Surya, Khalifa, Othman Omran, Shafie, Amir Akramin, Ambikairajah, Eliathamby

    Published 2011
    “…Finally, to speed up the process, the proposed algorithm will be implemented in a multicore system, i.e. six cores, using Single Program Multiple Data (SPMD) parallel paradigm.…”
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    Proceeding Paper
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