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Breast Cancer Classification Using Convolutional Neural Network
Alshanbari, Eman,Alamri, Hanaa,Alzahrani, Walaa,Alghamdi, Manal International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6
Breast cancer is the number one cause of deaths from cancer in women, knowing the type of breast cancer in the early stages can help us to prevent the dangers of the next stage. The performance of the deep learning depends on large number of labeled data, this paper presented convolutional neural network for classification breast cancer from images to benign or malignant. our network contains 11 layers and ends with softmax for the output, the experiments result using public BreakHis dataset, and the proposed methods outperformed the state-of-the-art methods.
Reda M. Abdelhameed,Eman Alzahrani,Abdallah A. Shaltout,Hossam E. Emam 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.94 No.-
Essential oils are characterized by their potency as anti-pathogens and anti-oxidants. However, there is alimitation in the application due to uncontrollable release. Therefore, this approach is focused ondesigning mesoporous composite for temperature-controlled release of essential oils. Mesoporouscomposite namely zeolitic imidazole frameworks@microcrystalline cellulose (ZIF@MCC), was successfullysynthesized by the immediate growth of ZIF based on Zn and Co separately within MCC matrix. Theestimated masses of ZIF within MCC were 263.4 – 296.3 g/kg. Orthorhombic dodecahedron crystallineZIFs in micro size was massively covered MCCfibrils. Release of thyme and cumin as two essential oils,from mesoporous ZIF@MCC composites was investigated at different temperatures. After 5 days, therelease of essential oils were significantly slowed down to be 49.3 – 119.7 mg/g (18.5 – 44.9 %) forZIF@MCC composites compared to 248.0 – 265.7 mg/g (93.0 – 99.6 %) for MCC. Elevation of temperaturewas accompanied by slight faster release attributing to the ease liberation of essential oils by heating. Releasing mechanism of essential oils is mainly supposed due to combination between physical inprinciple as a solute diffusion and chemical processing’s in small relevant.
A Simple Proposal For Ain Makkah Almukkarmah An Application Using Augmented Reality Technology
Taghreed Alotaibi,Laila Alkabkabi,Rana Alzahrani,Eman Almalki,Ghosson Banjar,Kholod Alshareef,Olfat M. Mirza International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.12
Makkah Al-Mukarramah is the capital of Islamic world. It receives special attention from the Saudi government's rulers to transform it into a smart city for the benefit of millions of pilgrims. One of the 2030 vision objectives is to transform specific cities to smart ones with advanced technological facilitation, Makkah is one of these cities. The history of Makkah is not well known for some Muslims. As a result, we built the concepts of our application "Ain Makkah" to enable visitors of Makkah to know the history of Makkah by using technology. In particular "Ain Makkah" uses Augmented Reality to view the history of Al-Kaaba. A 3D model will overlay Al-Kaaba to show it in the last years. Our project will use Augmented Reality to build a 3D model to overlay Al-Kaaba. Future work will expand the number of historical landmarks of Makkah.