Results for 'AbouAli Vedadhir'

4 found
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  1.  25
    Bridging the Gap Between Ethical Theory and Practice in Medicine: A Constructivist Grounded Theory Study.Mansure Madani, AbouAli Vedadhir, Bagher Larijani, Zahra Khazaei & Ahad Faramarz Gharamaleki - 2020 - Science and Engineering Ethics 26 (4):2255-2275.
    Physicians try hard to alleviate mental and physical ailments of their patients. Thus, they are heavily burdened by observing ethics and staying well-informed while improving health of their patients. A major ethical concern or dilemma in medication is that some physicians know their behavior is unethical, yet act against their moral compass. This study develops models of theory–practice gap, offering optimal solutions for the gap. These solutions would enhance self-motivation or remove external obstacles to stimulate ethical practices in medicine. The (...)
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  2. Bitplanes Block Based Exact Image Compression.Abdelatief H. Abouali - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (10):18-26.
    Abstract: In this paper, an exact image compression based on bit-planes blocking is proposed. The proposed algorithm uses two bit codes for block representation. The codes represent the states of Unicode block and non-Unicode. The algorithm considers further division to non-Unicode block. The block division continues until the smallest block size which are kept as residuals. The smallest block size in the study is two by two. The main process of encoding consumed three codes. Subsequent process uses the fourth code (...)
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  3.  51
    Face Recognition Using Dct And Neural Micro-Classifier Network.Abdellatief Hussien AbouAli - 2018 - International Journal of Engineering and Information Systems (IJEAIS) 2 (3):27-35.
    Abstract— In this study, a proposed faces recognition methodology based on the neural micro-classifier network. The proposed methodology uses simple well known feature extraction methodology. The feature extraction used is the discrete cosine transformation low frequencies coefficients. The micro-classifier network is a deterministic four layers neural network, the four layers are: input, micro-classifier, counter, and output. The network provide confidence factor, and proper generalization is guaranteed. Also, the network allows incremental learning, and more natural than others. The proposed face recognition (...)
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  4.  45
    Bitplanes Block Based Lossy Image Compression.Abdelatief H. Abouali - forthcoming - International Journal of Academic Engineering Research (IJAER) 2 (10):19-27.
    Abstract: In a former paper [21], an exact image compression based on bit-planes blocking was proposed. The proposed algorithm uses two bit codes for block representation. The outcome of the encoding process is two streams: Main Bit Stream, MBS and Residual Bit Stream, RBS. The algorithm core is searching for the greatest block of Unicode to encode in main stream and if not found until size of two by two then it will be kept as is in residual stream. In (...)
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