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Brain Tumor Prediction through Behavior Analysis of Cells Growth Using Machine Learning Techniques
Nouh Sabri Elmitwally,Muhammad Aqib Freed,Muhammad Waseem Iqbal,Aasma Ashraf,Farukh Muneem,Muhammad Aqeel 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
Brain tumor is a very terrible disease. Brain tumor is caused by an increased number of cells. The presence of the skull layer around the brain makes it tough in studying the behavior of growth cells. It also raises the complication for the identification of disease. The initial discovery of a brain tumor is necessary to defend the survival of patients. Frequently, the brain cancer segmentation, and classification through the MRI images technique. Though, the radiologists are not providing actual visualization of brain cells in MRI images due to the irregular growth of cells, which forms of cells are growing rapidly and slow at some stage in brain tumors in the brain. So, automatic strategies are required to evaluate thoughts tumors exactly from MRI images in this research automatic, MRI brain tumors are used for classification, segmentation, and Behavior analysis of cell growth. The problem of visualization of cell growth and behavior analysis of brain cells is solved through MRI images which enhance the detection of cancer. To analyze the behavior of cell growth, which forms of cells are growing rapidly and slow at some stage in brain tumors, and analyze the area of images in which type of cells is affected. Single models are less efficient. We will use ensemble models which would also be helpful for better performance and accuracy.
A CODE FOR CALCULATING STATIC MODEL STELLAR ATMOSPHERES
Nouh, M.I. The Korean Astronomical Society 2009 Journal of The Korean Astronomical Society Vol.42 No.3
In this paper we present an independent FORTRAN code for calculating LTE-plane-parallel model atmospheres. The transfer equation has been solved using Avrett and Loeser method. It is shown that, using an approximate non-gray temperature distribution together with the iteration factors method (Simonneau and Crivellari) for correcting the temperature distribution reduce the number of iteration required to achieve the condition of radiative equilibrium. Preliminary results for pure helium model atmospheres are presented.
Agent-Based Context Awareness Platform For IoT-A Survey
Nouh Sabri Elmitwally,Rimsha Khalid,Muhammad Saleem Butt,Waseem Iqbal,Khowla Khaliq,Farukh Muneem 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
Within cyber-physical networks, the Internet of Things is a futuristic idea, rich in promise as well as multifaceted requirements and implementation issues. Agent-Based Computing represents suitable and effective modeling, programming, and simulation paradigm for properly addressing them and fully supporting IoT system creation. Agent metaphors, principles, strategies, processes, and tools have all been used extensively in the development of IoT systems. In this paper, we have presented surveys and reports on the most recent contributions in this field.
Nouh Sabri Elmitwally,Talha Imtiaz,Shazia Saqib 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.10
It is a very challenging task for image processing techniques to render the semantic contents of one image in different styles. For this, Neural Style Transfer (NST) is being used. NST is an application of Deep Neural Networks. The basic purpose of this paper is to help Textile industry and fashion industry using NST. The global apparel manufacturing market is a trillion $ market. Designing apparel is a major task and post COVID era all industry is struggling to minimize operational cost. We propose a neural network for style transfer, which can generate millions of stylized images using content and style images pair.
El Said A. Nouh 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.24 No.-
Cloud point extraction (CPE) was used for Eu(III) determination in water samples using flame atomic absorption spectrometry (FAAS). Complex of Eu(III) with alizarin red S was extracted into the surfactant- rich phase of octylphenoxypolyethoxyethanol (Triton X-114) from samples at room temperature in presence of an amount of NaNO3. The parameters affecting CPE such as sample pH and concentrations of NaNO3, complexing agent and Triton X-114 were studied. Under the optimized conditions, the limit of detection (3s) was 6 ng mL1 and the relative standard deviation (RSD) was 1.95%. The method was successfully applied to Eu(III) determination in water samples.
Elkablawy, Mohamed A,Albasry, Abdelkader M,Hussainy, Akbar S,Nouh, Magdy M,Alhujaily, Ahmed Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.17
Purpose: To subtype breast cancer (BC) in Saudi women according to the recent molecular classification and to correlate these subtypes with available clinicopathological parameters. Materials and Methods: Estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor (Her2/neu) immunostaining was semi-quantitatively assessed to define molecular subtypes of luminal A and B, HER-2 and triple negative (basal-like) in BC paraffin embedded sections from 115 Saudi female patients diagnosed between 2005 to 2015 at the Department of Pathology, King Fahd Hospital, Almadinah, Saudi Arabia. Results: The most common subtypes were luminal A (47%), followed by luminal B (27.8%) and basal like subtypes (18.3%), whereas HER-2 was the least common subtype (6.9%). Luminal A was predominantly found in the old age group, with low tumor grade (p<0.001) and small tumor size, whereas HER-2 and basal-like subtypes were significantly associated with young age, high tumor grade, lymph node metastasis and lymphovascular invasion (p<0.03, 0.004, 0.05 and 0.04 respectively). All subtypes showed advanced clinical stage at the time of presentation. Conclusions: Molecular subtypes of Saudi BC patients in Almadinah region are consistent with most of the worldwide subtyping. The biological behaviour of each molecular subtype could be expected based on its characteristic clinicopathological features. Along with other prognostic indicators, molecular subtyping would be helpful in predicting prognosis and management of our BC patients. We recommend screening and early diagnosis of BC in our population.
STATISTICAL GAUSSIAN DISTRIBUTION FUNCTION AS A DISTANCE INDICATOR TO STELLAR GROUPS
Abdel-Rahman, H.I.,Issa, I.A.,Sharaf, M.A.,Nouh, M.I.,Bakry, A.,Osman, A.I.,Saad, A.S.,Kamal, F.Y.,Essam, Essam The Korean Astronomical Society 2009 Journal of The Korean Astronomical Society Vol.42 No.4
In this paper, statistical distribution functions are developed for distance determination of stellar groups. This method depends on the assumption that absolute magnitudes and apparent magnitudes follow a Gaussian distribution function. Due to the limits of the integrands of the frequency function of apparent and absolute magnitudes, we introduce Case A, B, and C Gaussian distributions. The developed approaches have been implemented to determine distances to some clusters and stellar associations. The comparison with the distances derived by different authors reveals good agreement.
Arginine‑polyaniline@g‑C3N4 for outstanding retention of Orange G dye from water
Hamid Zouggari,Fatima‑Zahra Mahir,Abdelaziz Imgharn,Abdelghani Hsini,Nouh Aarab,Mohamed Laabd,Abdallah Albourine 한국탄소학회 2023 Carbon Letters Vol.33 No.6
An eco-friendly material was synthesized through interfacial polymerization of aniline on particles of g-C3N4 with arginine, resulting in Arg-PANI@g-C3N4 composite. The as-synthesized composite was characterized by the Brunauer, Emmett, and Teller (BET) surface area, X-ray energy dispersive spectroscopy (EDS), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X-ray diffraction (XRD). The adsorption capability of as-synthesized composite towards Orange G (OG) dye has been evaluated under several experimental conditions, such as the adsorbent dosage, initial dye concentration, contact time under agitation, pH of dye solution and temperature. Thermodynamics parameters such as free energy (ΔG°), entropy (ΔS°), and enthalpy (ΔH°) were also calculated and suggested that the adsorption process is spontaneous and endothermic in nature. The kinetics data revealed that the adsorption of OG dye onto Arg-PANI@g-C3N4 follows the pseudo-second order kinetics model. The maximum adsorption capacity was found to be 80.54 mg·g?1. Furthermore, the Arg-PANI@g-C3N4 surface exhibited a Langmuir-like adsorption isotherm in contrast to a Freundlich isotherm due to homogeneous active site distribution. Regeneration investigation showed the excellent reusability of Arg-PANI@g-C3N4 composite during the cleaning up of solution containing OG dye molecules.
Latest Transformations of XP Process Model: A Systematic Literature Review
Khan, Sadia,Fahiem, Muhammad Abuzar,Bakhtawar, Birra,Aftab, Shabib,Ahmad, Munir,Aziz, Nauman,Almotilag, Abdullah,Elmitwally, Nouh Sabri International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6
Process model is an integral part of software industry. Different process models are used now a days in the industry for different software projects. Process models need to be tailored to address some specific project needs. Agile models are considered as the most widely used process models nowadays. They have distinctive features and the ability to address the dynamic needs of today's software development. Extreme programming (XP) is one of the extensively used agile process model especially for small projects. Many researchers have tried to mold XP to overcome its shortcomings and for better working in specific scenarios. Therefore, many customized versions of XP process model are available today. In this paper, we are going to analyze the latest customizations of XP. For this purpose, a systematic literature review is conducted on studies published from 2012 till 2018 in renowned online search libraries. This comprehensive review highlights the purpose of customizations, along with the areas in which customizations are made, and phases & practices which are being customized. This work will serve the researchers to discover the modern versions of XP process model as well as will provide a baseline for future directions for customizations.