Results for 'Suhailah Hussien'

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  1. In Defense of Weak Dualism.Mohamed Hussien - manuscript
    In this article I build on Gertler's recent version of the disembodiment argument to defend a modern and "weak" dualism. The hardest part in disembodiment arguments is to imagine oneself disembodied if that was even possible. In my article I avoid this weakness by introducing body swapping argument. In my novel argument we don't need the problematic image of disembodied self, it's sufficient to imagine one's consciousness in another body, an image too easy to imagine that it became a movie (...)
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  2. Evaluating Land Use/Land Cover Change and Its Socioeconomic Implications in Agarfa District of Bale Zone, Southeastern Ethiopia.Teha Turi, Hussien Hayicho & Haji Kedir - manuscript
    A systematic analysis of land use/cover change is so decisive to exactly understand the extent of change and take essential measures to curb down the rate of changes and protect the land cover resources sustainably. This land use/land cover change study was conducted in Agarfa district of Bale zone, Oromia Regional State, Southeastern Ethiopia. The objectives of this study were to evaluate the trends, drivers and its socio-economic and environmental implication in study area. A descriptive research method was employed to (...)
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  3. 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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