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Wyszukujesz frazę "Hammad, A.M." wg kryterium: Autor

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    Wyświetlanie 1-3 z 3
    Tytuł:
    Genetic variability and host specialization in Alternaria alternata colonizing Solanaceous crops in Sudan
    Autorzy:
    Abbo, A.S.
    Idris, M.O.
    Elballa, M.A.
    Hammad, A.M.
    El Sidding, M.A.R.
    Karlovsky, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/66044.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    plant disease
    early blight
    genetic variability
    host
    Alternaria alternata
    diversity
    Solanaceae
    crop
    amplified fragment length polymorphism
    Sudan
    Opis:
    Early blight disease caused by Alternaria sp. is one of the most devastating diseases of Solanaceous crops widely distributed in Sudan. The aim of this study was to determine the genetic variation among different Alternaria isolates recovered from different Solanaceae crops showing typical symptoms of early blight disease. Infected leaves of tomato, potato, eggplant and pepper were collected from different geographical zones in Sudan. The recovered fungal isolates were identified to the genus level based on cultural and morphological characteristics. Five representative isolates were sent to the CABI Bioscience, U.K. for confirmation. The genetic relationship among the isolates was determined using the amplified fragments length polymorphism (AFLP) technique and the generated data were used to create similarity matrices using the PAST 3.01 software package. Dendrograms were constructed based on Jaccard’s similarity coefficients. A total of 70 fungal isolates was recovered from the tested plants and all of them showed morphological characteristics typical of Alternaria spp. The conidia appeared in multiple-branched chains with spore sizes in the range of 2.38−13.09 μm × 12.30−43.63 μm. Therefore, the isolates were identified as Alternaria alternata (Fr.) Keissl. The identification was then confirmed by CABI.AFLPbased dendrogram which revealed five clusters with a significant cophenetic correlation coefficient (r = 0.834) between the dendrogram and the original similarity matrix irrespective of their geographical origins. Eighteen (75%) of the Alternaria isolated from tomato leaves were clustered together in cluster I and five isolates formed two separate clusters, viz. cluster IV (T-Kh5 and T-H1) and cluster V (T-H4 and T-Med2). The remaining isolate, T-Am5, grouped with one of the potato isolates in cluster III. The other isolates which were recovered from potato, pepper and eggplants were all separated from the tomato isolates in the largest cluster.
    Źródło:
    Journal of Plant Protection Research; 2018, 58, 3
    1427-4345
    Pojawia się w:
    Journal of Plant Protection Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    FTIR Study of Nanostructure Perovskite $BaTiO_3$ Doped with Both $Fe^{3+}$ and $Ni^{2+}$ Ions Prepared by Sol-Gel Technique
    Autorzy:
    Abdel Aal, A.
    Hammad, T.
    Zawrah, M.
    Battisha, I.
    Abou Hammad, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1377829.pdf
    Data publikacji:
    2014-12
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    81.20.Fw
    81.07.Bc
    64.70.kg
    61.05.C-
    78.30.Ly
    81.10.Aj
    Opis:
    Pure barium titanate $BaTiO_3 (BT)$ and BT doped with two different transition elements $Fe^{3+}$ and $Ni^{2+}$ at 5 mol.% (BT5Fe and BT5Ni, respectively) as constant concentration in powder form have been prepared by sol-gel method using barium acetate, titanium(IV) n-butoxide, iron and nickel nitrates as precursor materials. The microstructure of BT and the influence of Fe and Ni dopants on it were investigated by X-ray diffraction and Fourier transform infrared spectroscopy. X-ray diffraction shows that tetragonal phase is dominant for pure BT sintered for 4 h at 800°C. Scanning electron microscopy and transmission electron microscopy were used to study surface morphology and particle size distribution for BT5Fe and BT5Ni, respectively. The presence of hydroxyl defects were verified by Fourier transform infrared spectroscopy for $(BaTi_{1-x}Fe_{x}O_{3-x/2}) (BT_xFe)$, where x=0.005, 0.01, 0.05, and 0.07 and $(BaTi_{1-x}Ni_{x}O_{3-x/2}) (BT_xNi)$, where x=0.005, 0.01, 0.03, 0.05, and 0.07.
    Źródło:
    Acta Physica Polonica A; 2014, 126, 6; 1318-1321
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Satellite Image Fusion Using a Hybrid Traditional and Deep Learning Method
    Autorzy:
    Hammad, Mahmoud M.
    Mahmoud, Tarek A.
    Amein, Ahmed Saleh
    Ghoniemy, Tarek S.
    Powiązania:
    https://bibliotekanauki.pl/articles/27314300.pdf
    Data publikacji:
    2023
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    deep learning image fusion
    remote sensing image fusion
    remote sensing optical image
    pan-sharpening
    remote sensing image
    Opis:
    Due to growing demand for ground-truth in deep learning-based remote sensing satellite image fusion, numerous approaches have been presented. Of these approaches, Wald’s protocol is the most commonly used. In this paper, a new workflow is proposed consisting of two main parts. The first part targets obtaining the ground-truth images using the results of a pre-designed and well-tested hybrid traditional fusion method. This method combines the Gram–Schmidt and curvelet transform techniques to generate accurate and reliable fusion results. The second part focuses on the training of a proposed deep learning model using rich and informative data provided by the first stage to improve the fusion performance. The demonstrated deep learning model relies on a series of residual dense blocks to enhance network depth and facilitate the effective feature learning process. These blocks are designed to capture both low-level and high-level information, enabling the model to extract intricate details and meaningful features from the input data. The performance evaluation of the proposed model is carried out using seven metrics such as peak-signal-to-noise-ratio and quality without reference. The experimental results demonstrate that the proposed approach outperforms state-of-the-art methods in terms of image quality. It also exhibits the robustness and powerful nature of the proposed approach which has the potential to be applied to many remote sensing applications in agriculture, environmental monitoring, and change detection.
    Źródło:
    Geomatics and Environmental Engineering; 2023, 17, 5; 145--162
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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