Search Results - (( java application mining algorithm ) OR ( data compression process algorithm ))

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    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    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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    Article
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    Thresholding and quantization algorithms for image compression techniques : a review by Lashari, Saima Anwar, Rosziati Ibrahim, Nik Shahidah Afifi Md Taujuddin, Norhalina Senan, Suhaila Sari

    Published 2018
    “…This paper presents a review of image compression principle, compression techniques and various thresholding algorithms (pre-processing algorithms) and quantization algorithm (post-processing algorithms). …”
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    Article
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    Thresholding and quantization algorithms for image compression techniques: a review by Lashari, Saima Anwar, Ibrahim, Rosziati, Md Taujuddin, Nik Shahidah Afifi, Senan, Norhalina, Sari, Suhaila

    Published 2018
    “…This paper presents a review of image compression principle, compression techniques and various thresholding algorithms (pre-processing algorithms) and quantization algorithm (post-processing algorithms). …”
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    Article
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    Parallelization Of CCSDS Hyperspectral Image Compression Using C++ by Tan, Lit Chez

    Published 2018
    “…Currently, most implementation of the CCSDS-MHC algorithm utilizessingle processor core for the compression process. …”
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    Monograph
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    Measuring the performance of image data by using RLE algorithm in lossless compression technique by Nurmarsyita, Mohd Shah

    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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    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
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    Second compression for pixelated images under edge-based compression algorithms: JPEG-LS as an example by Al-Khayyat, Kamal, Alshaikhli, Imad Fakhri Taha, Al-Hagery, Mohammed

    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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    Article
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    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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    Conference or Workshop Item
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    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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    Final Year Project / Dissertation / Thesis
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    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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    Thesis
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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
    “…The ECG signals containing a large-size of health data that must be secured. This research proposes an efficient combination of a compression and an encryption algorithms. …”
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    Proceeding Paper
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    Improved thresholding and quantization techniques for image compression by Md Taujuddin, Nik Shahidah Afifi

    Published 2017
    “…Moreover, the compression process involves eliminating some data that degrades the image quality. …”
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    Thesis
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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 by Hasrat, Alwi

    Published 1995
    “…This thesis proposes a software development of image data compression and decompression techniques. The compression takes place through a process of removal redundant data in image file and representing the data to more efficient codes. …”
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    Thesis
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    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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