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High resolution sequence stratigraphy of the Mishrif Formation(Cenomanian-Early Turonian)at zubair oilfield(al-rafdhiah dome),southern Iraq

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Petroleum Research 2024年第1期9卷 61-71页

作者： Aymen A.Lazim maher j.ismail maher M.Mahdi Geoscience Department Zubair Field Operation DivisionBasra Oil CompanyIraq Basrah Oil Company WQ1 FODBasrahIraq University of Basrah College of ScienceGeology Dept.BasrahIraq

The Mishrif Formation(Cenomanian-E Turonian)is one of the most important geological formations in the Middle East and Iraq because it contains enormous petroleum accumulations.It is considered to be the first reservoir in the region,and is still being studied because of its economic significance.The carbonate of the Mishrif Formation derives from a variety of depositional settings,including mid-ramp,shoal,lagoon,and intertidal.The five main microfacies discussed in this paper are wackestone,packstone,grainstone,floatstone,and bindstone.The most frequent fossilised components found in the Mishrif Formation are rudists,benthic foraminifera,echinoderms,burrows molluscs,and algae.According to the microfacies and analysed wireline log data,the sequence stratigraphy of the studied formation is composed of two regression cycles.Five parasequences of transgressive-regressive cycles make up the depositional sequence of the Mishrif Formation.The standard depositional environments seem to demonstrate a gradual regression,beginning with a short period of the outer ramp,then a steady period of the mid-ramp,and ending in the intertidal environment.Additionally,the study recorded two regional maximum flooding surfaces:K-135 and K-140.The former is present in the lowermost part of the formation,while the other lies in the middle.This study shows a close relationship between facies(environments)and hydrocarbon accumulation.The increased accumulation focuses on the lower part of the studied formation,and seems to be lower in the upper part of the formation as a result of changes in the environment of deposition.

关键词： Mishrif formation Cenomanian Sequence stratigraphy Zubair oilfield Iraq

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Automatic Fall Detection Using Membership Based Histogram Descriptors

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journal of Computer Science & Technology 2017年第2期32卷 356-367页

作者： Mohamed maher Ben ismail Ouiem Bchir College of Computer and Information Sciences King Saud University Riyadh 11495 KSA

t We propose a framework for automatic fall detection based on video visual feature extraction. The proposed approach relies on a membership histogram descriptor that encodes the visual properties of the video frames. This descriptor is obtained by mapping the original low-level visual features to a more discriminative descriptor using possibilistic memberships. This mapping can be summarized in two main phases. The first one consists in categorizing the low-level visual features of the video frames arid generating homogeneous clusters in an unsupervised way. The second phase uses the obtained membership degrees generated by the clustering process to compute the membership based histogram descriptor （MHD）. For the testing stage, the proposed fall detection approach categorizes unlabeled videos as ＂Fall＂ or ＂Non-Fall＂ scene using a possibilistic K-nearest neighbors classifier. The proposed approach is assessed using standard videos dataset that simulates patient fall. Also, we compare its performance with that of state-of-the-art fall detection techniques.

关键词： fall detection possibilistic approach feature extraction clustering

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X-ray Based COVID-19 Classification Using Lightweight EfficientNet

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journal on Artificial Intelligence 2022年第3期4卷 167-187页

作者： Tahani Maazi Almutairi Mohamed maher Ben ismail Ouiem Bchir Department of Computer Science King Saud UniversityRiyadh11543Saudi Arabia

The world has been suffering from the Coronavirus(COVID-19)pandemic since its appearance in late 2019.COVID-19 spread has led to a drastic increase of the number of infected people and deaths worldwide.Imminent and accurate diagnosis of positive cases emerged as a natural alternative to reduce the number of serious infections and limit the spread of the disease.In this paper,we proposed an X-ray based COVID-19 classification system that aims at diagnosing positive COVID-19 cases.Specifically,we adapted lightweight versions of EfficientNet as backbone of the proposed recognition system.Particularly,lightweight EfficientNet networks were used to build classification models able to discriminate between positive and negative COVID-19 cases using chest X-ray images.The proposed models ensure a trade-off between scaling down the architecture of the deep network to reduce the computational cost and optimizing the classification performance.In the experiments,a public dataset containing 7,345 chest X-ray images was used to train,validate and test the proposed models for binary and multiclass classification problems,respectively.The obtained results showed the EfficientNet-elite-B9-V2,which is the lightest proposed model yielded an accuracy of 96%.On the other hand,EfficientNet-lite-B0 overtook the other models,and achieved an accuracy of 99%.

关键词： CNN EfficientNet COVID-19 deep learning CAD system X-ray

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Image Based Smoke Detection Using Source Separation

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光谱学与光谱分析 2019年第3期39卷 982-989页

作者： Ouiem Bchir Mohamed maher Ben ismail Norah Asiri Computer Science Department College of Computer and Information SciencesKing Saud University

In this paper, we propose an automatic image based smoke detection using source separation. In particular, we assume that the region of interest(smoke region) is a linear combination of smoke and background pixels, and we estimate the smoke component. More specifically, we extend the linear hyperspectral unmixing techniques to the context of image based smoke detection in order to separate the smoke component from the background. The proposed approach yields promising results especially with smoke images captured outdoor.

关键词： Pattern recognition Computer science Hyperspectral

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Oral Micronized or Parenteral Progesterone versus Health Education in the Prevention of Preterm Birth: A Single Blinded Randomized Controlled Trial

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Open journal of Obstetrics and Gynecology 2019年第5期9卷 612-623页

作者： Atef M. M. Darwish Alaa E. M. ismail maher S. Mohammad Salah A. E. Gobara Department of Obstetrics and Gynecology Woman’s Health University Maternity Hospital Cairo Egypt Resident of Obstetrics and Gynecology Dairut Central Hospital Assiut Egypt

The primary aim of this study was to evaluate the possible prophylactic role of progesterone in women with a history of spontaneous preterm birth (PTB) while the secondary aim was to compare oral or intramuscular progesterone versus health education in such cases. Methods: A randomized, single blinded interventional randomized controlled trial was conducted. It comprised 90 cases with a history of PTB who were divided into 3 equal groups who received oral micronized progestogen capsule 200 mg daily (group A), parenteral 17 α-hydroxyprogesterone caproate 250 mg weekly IM injections (group B) or received health education including rest (group C) starting from 20 weeks till the end of 34 weeks of gestation. Results: This study included eligible 90 pregnant women at high risk of PTB who continued follow-up. For socio-demographic characteristics, there were no significant differences between the groups in respect to age, residence, education level, occupation, gravidity, parity and number of living children apart from significant difference between group A and C regarding mean patients’ age. Mode and place of delivery did not differ between the groups while gestational age at time of delivery was significantly better on using injectable than oral progesterone. Neonatal birth weight was significantly higher in group B if compared separately to groups A and C and was still significantly higher in group A if compared with group C. NICU admission rate was higher in group C if compared to group B or to the combined group A and B. Compliance was significantly higher in group B if compared to both group A and C and was significantly higher in the intervention group A and B if compared to group C. Conclusions: Progesterone supplementation has a significant role in prevention of PTB if compared with just health education. Progesterone injections expressed significantly better results than oral micronized progesterone in terms of prolongation of gestational age, better neonatal birth weight and less admission rate to the NICUs.

关键词： Preterm Birth Oral Injectable Progesterone Health Education

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