Yazar "Abdullah, Aseel N." seçeneğine göre listele

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    Detection and classification of skin lesion based neural networks
    (IEEE, 2021) Abdullah, Hadeel N.; Abdullah, Aseel N.; Halef, Nejat H.; Abduljaleel, Hala K.
    Skin cancers emerge from the skin due to the growth of untypical cells that dispersal to other parts of the body. Through early detection, very high success rates can be achieved in treating most cases of skin cancer, including the most aggressive and deadly forms and types. The objective of this work is brief as follows: First, to collect a real database from Al-Kindi Hospital and Baghdad Medical City. Next, choose smart classification methods for the early detection of skin lesions. Second, propose a new technique for reducing database noise obtained based on convolutional neural networks (CNN). Third, a new algorithm has been proposed for dividing a cutaneous lesion into cutaneous images based on the straight active-contour and morphological processes.
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    Öğe
    Enhancement of Radar Signal Detection using Double-Density Dual-Tree DWT
    (IEEE, 2022) Khalaf, Najat H.; Abdullah, Hadeel N.; Tawfeeq, Qussay S.; Abdullah, Aseel N.
    This study aims to improve the signal-to-noise ratio (SNR) while reducing noise by employing wave decomposition and threshold processing to detect better radar targets. Because of the characteristics of Discrete Wavelet Transform (DWT) regarding energy concentration of signals, it became of interest to utilize it since it possesses the vital energy concentration of retrieved radar echo signals from targets since such signals are very general weak and accompanied by noise. Furthermore, the punctual time of radar signal pulse transmission is very short of ensuring signal security.