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Shear Let Transform Residual Learning Approach for Single-Image Super-Resolution

Computers, Materials & Continua 2024年第5期79卷 3193-3209页

作者： israa Ismail Ghada Eltaweel Mohamed Meselhy Eltoukhy Department of Computer Science Faculty of Computers and InformaticsSuez Canal UniversityIsmailia51422Egypt Department of Information Technology College of Computing and Information Technology at KhulaisUniversity of JeddahJeddahSaudi Arabia

Super-resolution techniques are employed to enhance image resolution by reconstructing high-resolution images from one or more low-resolution ***-resolution is of paramount importance in the context of remote sensing,satellite,aerial,security and surveillance ***-resolution remote sensing imagery is essential for surveillance and security purposes,enabling authorities to monitor remote or sensitive areas with greater *** study introduces a single-image super-resolution approach for remote sensing images,utilizing deep shearlet residual learning in the shearlet transform domain,and incorporating the Enhanced Deep Super-Resolution network(EDSR).Unlike conventional approaches that estimate residuals between high and low-resolution images,the proposed approach calculates the shearlet coefficients for the desired high-resolution image using the provided low-resolution image instead of estimating a residual image between the high-and low-resolution *** shearlet transform is chosen for its excellent sparse approximation ***,remote sensing images are transformed into the shearlet domain,which divides the input image into low and high *** shearlet coefficients are fed into the EDSR *** high-resolution image is subsequently reconstructed using the inverse shearlet *** incorporation of the EDSR network enhances training stability,leading to improved generated *** experimental results from the Deep Shearlet Residual Learning approach demonstrate its superior performance in remote sensing image recovery,effectively restoring both global topology and local edge detail information,thereby enhancing image *** to other networks,our proposed approach outperforms the state-of-the-art in terms of image quality,achieving an average peak signal-to-noise ratio of 35 and a structural similarity index measure of approximately 0.9.

关键词： Super-resolution shearlet transform shearlet coefficients enhanced deep super-resolution network

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Methods for extracellular vesicle isolation from cancer cells

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Cancer Drug Resistance 2020年第3期3卷 371-384页

作者： israa salem Nicole M.Naranjo Amrita Singh Rachel DeRita Shiv Ram Krishn Luca S.Sirman Fabio Quaglia Alexander Duffy Nicholas Bowler Aejaz Sayeed Lucia R.Languino Department of Cancer Biology Sidney Kimmel Cancer CenterThomas Jefferson UniversityPhiladelphiaPA 19107USA. Astellas Institute for Regenerative Medicine MarlboroughMA 01752USA. School of Veterinary Medicine University of PennsylvaniaPhiladelphiaPA 19104USA. Baruch S.Blumberg Institute DoylestownPA 18902USA.

Cells are known to release different types of vesicles such as small extracellular vesicles(sEVs)and large extracellular vesicles(LEVs).sEVs and LEVs play important roles in intercellular communication,pre-metastatic niche formation,and disease progression;both can be detected cell culture media and biological *** and LEVs contain a variety of protein and RNA cargo,and they are believed to impact many biological functions of the recipient cells upon their internalization or binding to cell surface *** has recently been established that standard isolation techniques,such as differential ultracentrifugation,yield a mixed population of ***,density gradient ultracentrifugation has been reported to allow the isolation of sEVs without cellular ***,we describe the most common methods used to isolate sEVs from cell culture medium,mouse and human plasma,and a new technique for isolating sEVs from tissues as *** article also provides detailed procedures to isolate LEVs.

关键词： Extracellular vesicles differential ultracentrifugation iodixanol density gradient cell culture medium plasma tissue

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A discrete event simulation model for waiting time management in an emergency department:A case study in an Egyptian hospital

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International Journal of Modeling, Simulation, and Scientific Computing 2021年第1期12卷 1-14页

作者： israa Mohamed Faculty of Computers and Informatics Zagazig University Ash-Sharkia 44519Egypt

This paper presents a discrete event simulation model to help improving healthcare service provided by an emergency department at a private hospital at Zagazig,*** construct a patient flow division model by dividing patients according to their severity *** patients division and routing have significant evidence in improving health service in terms of waiting times and Length of Stay(LoS),there is a lack in a detailed system evaluation and implementation under this *** on system observation and health care provider’s interviews,a comprehensive and clear picture of the system has been drawn along with a conceptual model showing different patient flows through the studied system.A discrete event simulation model of the Emergency Department is built using collected *** operational scenarios were tested against the baseline scenario to study the impact of patient flow division,including different staff capacities and different patient *** indicate that waiting times and length of patient stay can be significantly improved under the proposed7 system configuration.

关键词： Discrete event simulation healthcare simulation emergency departments patient flow analysis

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Classification COVID-19 Based on Enhancement X-Ray Images and Low Complexity Model

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Computers, Materials & Continua 2022年第7期72卷 561-576页

作者： Aymen Saad israa SKamil Ahmed Alsayat Ahmed Elaraby Department of Information Technology Technical College of ManagementKufaAl Furat Alawsat UniversityIraq Department of Medical Laboratory Techniques Al-Mustaqbal University CollegeHillaIraq Department of Computer Science College of Computer and Information SciencesJouf UniversitySaudi Arabia Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQenaEgypt

COVID-19 has been considered one of the recent epidemics that occurred at the last of 2019 and the beginning of 2020 that world *** spread of COVID-19 requires a fast technique for diagnosis to make the appropriate decision for the treatment.X-ray images are one of the most classifiable images that are used widely in diagnosing patients’data depending on radiographs due to their structures and tissues that could be *** Neural Networks(CNN)is the most accurate classification technique used to diagnose COVID-19 because of the ability to use a different number of convolutional layers and its high classification *** using CNNs techniques requires a large number of images to learn and obtain satisfactory *** this paper,we used SqueezNet with a modified output layer to classify X-ray images into three groups:COVID-19,normal,and *** this study,we propose a deep learning method with enhance the features of X-ray images collected from Kaggle,Figshare to distinguish between COVID-19,Normal,and Pneumonia *** this regard,several techniques were used on the selected image samples which are Unsharp filter,Histogram equal,and Complement image to produce another view of the *** Squeeze Net CNN model has been tested in two scenarios using the 13,437 X-ray images that include 4479 for each type(COVID-19,Normal and Pneumonia).In the first scenario,the model has been tested without any enhancement on the *** achieved an accuracy of 91%.But,in the second scenario,the model was tested using the same previous images after being improved by several techniques and the performance was high at approximately 95%.The conclusion of this study is the used model gives higher accuracy results for enhanced images compared with the accuracy results for the original images.A comparison of the outcomes demonstrated the effectiveness of ourDLmethod for classifying COVID-19 based on enhanced X-ray images.

关键词： COVID-19 X-ray image enhancement classification CNN SqueezNet model

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Internal friction behavior of Zr_(59)Fe_(18)Al_(10)Ni_(10)Nb_(3)metallic glass under different aging temperatures

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Chinese Physics B 2021年第2期30卷 426-430页

作者： israa Faisal Ghazi israa Meften Hashim Aravindhan Surendar Nalbiy Salikhovich Tuguz Aseel MAljeboree Ayad FAlkaim Nisith Geetha Department of Materials Engineering Engineering CollegeUniversity of Al-QadisiyahQadisiyyahIraq Nursing College University of Al-QadisiyahQadisiyyahIraq Department of Pharmacology Saveetha Dental College and HospitalSaveetha Institute of Medical and Technical SciencesChennaiIndia Department of Higher Mathematics Kuban State Agrarian UniversityKrasnodarRussian Federation College of Sciences for Women University of BabylonBabylonIraq Department of Electrical and Electronics Engineering Sengunthar College of EngineeringTiruchengodeIndia

We investigate the role of aging temperature on relaxation of internal friction in Zr_(59)Fe_(18)Al_(10)Ni_(10)Nb_(3)metallic *** this purpose,dynamic mechanical analysis with different annealing temperatures and frequency values is *** results indicate that the aging process leads to decrease in the dissipated energy in the temperature range of glass *** is also found that the increase in applied frequency weakens the loss factor intensity in the metallic ***,the Kohlrausch-Williams-Watts(KWW)equation is used to evaluate the evolution of internal friction during the aging *** to the results,higher annealing temperature will make the primary internal friction in the material increase;however,a sharp decline is observed with the *** drop in characteristic time of internal friction is also closely correlated to the rate of atomic rearrangement under the dynamic excitation so that at higher annealing temperatures,the driving force for the collaborative movement of atoms is easily provided and the mean relaxation time significantly decreases.

关键词： metallic glass internal friction relaxation dynamic analysis

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Super-Resolution Based on Curvelet Transform and Sparse Representation

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Computer Systems Science & Engineering 2023年第4期45卷 167-181页

作者： israa Ismail Mohamed Meselhy Eltoukhy Ghada Eltaweel Department of Computer Science Faculty of Computers and InformaticsSuez Canal UniversityIsmailia51422Egypt Department of Information Technology University of JeddahCollege of Computing and Information Technology at KhulaisJeddahSaudi Arabia

Super-resolution techniques are used to reconstruct an image with a high resolution from one or more low-resolution image(s).In this paper,we proposed a single image super-resolution *** uses the nonlocal mean filter as a prior step to produce a denoised *** proposed algorithm is based on curvelet *** converts the denoised image into low and high frequencies(sub-bands).Then we applied a multi-dimensional interpolation called Lancozos interpolation over both *** parallel,we applied sparse representation with over complete dictionary for the denoised *** proposed algorithm then combines the dictionary learning in the sparse representation and the interpolated sub-bands using inverse curvelet transform to have an image with a higher *** experimental results of the proposed super-resolution algorithm show superior performance and obviously better-recovering images with enhanced *** comparison study shows that the proposed super-resolution algorithm outperforms the *** mean absolute error is 0.021±0.008 and the structural similarity index measure is 0.89±0.08.

关键词： Super-resolution Curvelet transform non-local means filter lancozos interpolation sparse representation

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An early discharge approach for managing hospital capacity

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International Journal of Modeling, Simulation, and Scientific Computing 2017年第1期8卷 83-95页

作者： israa Mohamed Ibrahim El-Henawy Ramadan Zean El-Din Department of Computing and Information Zagazig University 44519 ZagazigEgypt Institute of Statistical Studies and Research Cairo University 12613 GizaEgypt

The Kidney and Oncology Departments at Zagazig University Hospital are suffering from increased demand and limited *** patients who find all beds occupied are simply turned away,i.e.,no waiting is *** paper investigates the impact of an early discharge approach that can be applied to patients that have been scheduled to discharge within 5 h.A discrete event simulation(DES)model is built using empirical distributions based on real *** model has been validated against real data and the results have shown that the proposed early discharge approach can reduce the number of turned away patients by 10%in the Kidney Department,equivalent to 182 patients annually and by 11%in the Oncology Department,equivalent to 150 patients annually.

关键词： Simulation optimization discrete event simulation

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Multi-Model Fusion Framework Using Deep Learning for Visual-Textual Sentiment Classification

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Computers, Materials & Continua 2023年第8期76卷 2145-2177页

作者： israa K.Salman Al-Tameemi Mohammad-Reza Feizi-Derakhshi Saeed Pashazadeh Mohammad Asadpour Computerized Intelligence Systems Laboratory Department of Computer EngineeringFaculty of Electrical and Computer EngineeringUniversity of TabrizTabriz51368Iran Department of Computer Engineering Faculty of Electrical and Computer EngineeringUniversity of TabrizTabriz51368Iran State Company for Engineering Rehabilitation and Testing Iraqi Ministry of Industry and MineralsBaghdad10011Iraq

Multimodal Sentiment Analysis(SA)is gaining popularity due to its broad application *** existing studies have focused on the SA of single modalities,such as texts or photos,posing challenges in effectively handling social media data with multiple ***,most multimodal research has concentrated on merely combining the two modalities rather than exploring their complex correlations,leading to unsatisfactory sentiment classification *** by this,we propose a new visualtextual sentiment classification model named Multi-Model Fusion(MMF),which uses a mixed fusion framework for SA to effectively capture the essential information and the intrinsic relationship between the visual and textual *** proposed model comprises three deep neural *** different neural networks are proposed to extract the most emotionally relevant aspects of image and text ***,more discriminative features are gathered for accurate sentiment ***,a multichannel joint fusion modelwith a self-attention technique is proposed to exploit the intrinsic correlation between visual and textual characteristics and obtain emotionally rich information for joint sentiment ***,the results of the three classifiers are integrated using a decision fusion scheme to improve the robustness and generalizability of the proposed *** interpretable visual-textual sentiment classification model is further developed using the Local Interpretable Model-agnostic Explanation model(LIME)to ensure the model’s explainability and *** proposed MMF model has been tested on four real-world sentiment datasets,achieving(99.78%)accuracy on Binary_Getty(BG),(99.12%)on Binary_iStock(BIS),(95.70%)on Twitter,and(79.06%)on the Multi-View Sentiment Analysis(MVSA)*** results demonstrate the superior performance of our MMF model compared to single-model approaches and current state-of-the-art techniques based on model evaluation cr

关键词： Sentiment analysis multimodal classification deep learning joint fusion decision fusion interpretability

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Using MPS Technology to Increase Power Saving

Using MPS Technology to Increase Power Saving

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作者： israa FALIH AL-HELLI 湖南大学

学位级别：硕士

随着技术发展的需要以及用户越来越强烈的需要,现在提供用户信息的位置感知应用的能量需求已经成为终端用户最强烈的需求之一。尽管如此,通过研究发现由于精确度明显不够高,很多这些应用并没有倾向于采用基于基站的技术来进行定位。因此... 详细信息

随着技术发展的需要以及用户越来越强烈的需要,现在提供用户信息的位置感知应用的能量需求已经成为终端用户最强烈的需求之一。尽管如此,通过研究发现由于精确度明显不够高,很多这些应用并没有倾向于采用基于基站的技术来进行定位。因此,大多数应用为了达到高性能的要求而使用GPS技术,这是一种对能量要求较高的技术。本文将介绍一种能够有效节能的定位技术,即MPS (Matrix Positioning System)。MPS技术与基于基站的方法相比,主要是通过获得高速移动节点的先前位置及最近位置来得到一个高精确度的定位估计。这种技术由于能够保持尽可能低的能耗状态,因此具有较好的发展潜力。MPS定位系统的底层设计是根据这样一个事实,大部分用户在游走的时候都处于某一水平的均为分布。MPS的另外一个核心设想是一个具有特殊矩阵定位的转移点,尤其是它们周期性地游走某一路线的时候,可以将它作为用户唯一的位置标识。所有事实证明,MPS技术的关键技术是“位序列匹配”,为了能够根据用户以前的习惯及最常出现的位置,或者通过记录GPS定位点在某一区域内的位置序列与当前特殊区域内的序列进行匹配,来准确地估计出当前位置。本文的实验设备为具有Android操作系统的智能手机,并在其中实现MPS技术,实验尽可能的在各种不同的位置中来进行定位评估。此外,还会在基于不同的平台以及不同的设备携带者进行测试。进行的实验评估表明,MPS技术是当前最有前途的技术之一。根据实验结果发现,与传统的经常使用GPS进行定位的设备相比较,MPS技术能够节约整个定位系统能量消耗的90%。除此之外,本文的研究结果发现很多的服务并不适合使用基于基站定位的方法,因为MPS技术提供非常详细的准确定位信息,误差在20%左右,远远低于基于基站的方法。智能手机定位应用的能量有效性问题已经成为其发展的瓶颈。一些学者和研究人员已经提出了一系列技术和算法来解决这个问题。在这些技术中,明显有效的就是MPS,即矩阵辅助定位系统。这种技术是在最近的智能手机应用中的节能系统中所应用到,通过监视和记录某一区域,并进行计算用户的具体位置。尽管MPS技术在解决前面所提到的问题时具有非常明显的特点,但是在本文中将对这些特点进行详细的讨论,具体的核心内容总结如下：·MPS技术通过探测和监控用户经常行走的路线,将节点转变为矩阵区域的节点,来比较准确地推测出用户的具体位置。·MPS定位系统特别适用于那些经常行走在固定路线的移动电话用户。·MPS技术通过从数据库中匹配和选择所记录的用户以前的连续矩阵数组,这些数据一般是由GPS坐标组成,在甚至没有使用GPS的情况下也能够有效并且准确地推测出用户的当前位置。·与那些使用GPS技术的应用相比,MPS技术可以为智能手机提供90%的节能效果,并且能够达到较高的定位精确度。在本文的第三章,我将对MPS技术进行非常详细的描述,并对它进行评估。第三章内容将对MPS技术在增加能量有效性、减少能耗方面进行非常可观的评价。MPS技术的评价大致可以分成三个部分：核心方面的评估,所使用评估的方法以及实验结果的评价。实验评估的方面：MPS技术需要进行评估的结果,主要由以下几个方面组成：·将MPS技术与GPS的周期策略进行比较评估;·通过详细的学习和理解MPS技术的评估;·通过对MPS技术在不同条件下,包括不同的平台和不同移动设备携带者,进行评估;·将MPS技术与基于WiFi定位(WPS)技术进行比较;·评估的时间是用天数来计时。实验评估所使用的方法：下面所提出的方法用于评估MPS技术在智能手机领域中的影响：·在安卓智能手机中实现并使用MPS技术;·在三个不同国家的城市,包括城市A、城市B、城市C,开发出四条不同的路由线路;·将公共汽车和小汽车作为一个用户到另外一个用户的传输媒介;·在三款其他的智能手机中进行测试MPS技术,分别为：Nexus One智能手机,摩托罗拉和三星GalaxyS手机。·包括三个数据载体：T-Mobile (GSM), AT&T (GSM)及Verizon (CDMA)MPS算法中每个节点之间的距离必须小于16.5英里,而且每次迭代的持续时间必须小于2个小时。实验评估的结果：最终得到的MPS技术的有价值的评估结果中如下所示：·MPS技术不仅提供了准确度较高的定位,而且还可以确保减少GPS的使用;·与使用GPS技术相比较,使用MPS技术可以减少90%能源的消耗;·用户在使用MPS技术对定位进行预测的时候,能够减少小于20%的错误率;·由于MPS技术的出现,智能手机中GPS技术的使用率有了很多程度的减少。在第四章我们将讨论一些MPS中值得关注的特性。MPS主要是为移

关键词： GPS MPS

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Women’s Performance of Breast Cancer Screening (Breast Self-Examination, Clinical Breast Exam and Mammography)

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Advances in Breast Cancer Research 2017年第1期6卷 16-27页

作者： Somaya Aljohani israa Saib Muatasim Noorelahi Intern College of Medicine Taibah University Medina KSA

Background: Breast cancer is the most common malignancy among women in Saudi Arabia. Despite the availability of early detection methods to diagnose breast cancer, a huge number of women are still unaware about these methods. This study was conducted to identify the attitude of women in Medina toward breast cancer screening methods, including breast self-examination (BSE), clinical breast examination (CBE) and mammography. Methods and Materials: A cross-sectional survey has been conducted on 124 women aged from 39 and older, who attended Taibah Medical Center for cancer screening either by doctor’s recommendation, family or friends advice, or by herself. Face to face questionnaire was used to collect data. All data were analyzed by statistical analysis system software. Results: The results showed only 35.5%, 27.4% and 37.8% of participants reported that they practiced BSE, CBE and annual mammography, respectively. Only 27.3% of women practiced BSE once per month, and 8.8% visited doctor annually for CBE. Both educational level (p = 0.004) and family history (p = 0.01) were significantly related to BSE. 57.7% of the participants who had positive family history practiced BSE, and 56.0% of the participants who practiced BSE were highly educated. Lacking awareness about BSE is the most important barrier in not practicing BSE, while not having a breast lump was the reason for not undergoing either clinical breast examination (38.7%) or periodic mammography (54.9%). Conclusion: This study emphasized the need for massive health education program to increase awareness, and improve the attitude of women toward breast cancer screening methods.

关键词： Breast Cancer Screening Self-Examination Mammography

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