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| 1 | 儿童头、颈部肿块的扩散加权成像检查显示文摘本研究的目的是评价由扩散加权平面回波MR成像计算出的表观扩散系数对儿童头、颈部肿瘤肿块的临床价 值。研究包括78例头、颈部肿块儿童(男46例、女32例,年龄范围3个月~15岁,平均为6岁)。在1.5T MR设备上行常规MRI和扩散加权成像,采用单次激发平面回波成像(EPI),b值为0.500和1000s/mm^2,测量ADC值。 | A.A.K.A.Razek G.Gaballa G.Elhawarey A.S.Megahed M.Hafez N. Nada 高欣 | 2009 | 国际医学放射学杂志2009，32，2： | 10 |
| 2 | 激光深熔焊熔池X光图像恢复与特征分析显示文摘X光对于焊件具有很强的穿透性,可以利用其观测和分析激光深熔焊过程焊件内部熔池形态以及匙孔能量传递效果,实现对焊接过程有效地实时监测.在大功率光纤激光焊接304不锈钢过程中,由于X光图像采集过程中的噪声干扰,导致熔池X光图像存在严重退化现象,清晰度不高,识别性较差.为此研究一种图像恢复和增强算法,对熔池X光退化图像进行恢复和增强处理,使其在处理后能够更好地被识别.以盲去卷积法试验估计出熔池X光图像退化的点扩散函数,并以此函数为参数对熔池X光图像进行维纳滤波恢复,再进行灰度变换以增强图像,进而对熔池动态特性进行分析.结果表明,所提出的方法能够有效改善激光焊过程熔池X光图像质量,突出熔池边缘轮廓特征. | 高向东 向俊斌 Khalid M.Hafez Katayama Seiji | 2013 | 焊接学报2013，34，2： | 7 |
| 3 | Encephalitis Detection from EEG Fuzzy Density-Based Clustering Model with Multiple Centroid显示文摘Encephalitis is a brain inflammation disease.Encephalitis can yield to seizures,motor disability,or some loss of vision or hearing.Sometimes,encepha-litis can be a life-threatening and proper diagnosis in an early stage is very crucial.Therefore,in this paper,we are proposing a deep learning model for computerized detection of Encephalitis from the electroencephalogram data(EEG).Also,we propose a Density-Based Clustering model to classify the distinctive waves of Encephalitis.Customary clustering models usually employ a computed single centroid virtual point to define the cluster configuration,but this single point does not contain adequate information.To precisely extract accurate inner structural data,a multiple centroids approach is employed and defined in this paper,which defines the cluster configuration by allocating weights to each state in the cluster.The multiple EEG view fuzzy learning approach incorporates data from every sin-gle view to enhance the model's clustering performance.Also a fuzzy Density-Based Clustering model with multiple centroids(FDBC)is presented.This model employs multiple real state centroids to define clusters using Partitioning Around Centroids algorithm.The Experimental results validate the medical importance of the proposed clustering model. | Hanan Abdullah Mengash Alaaeldin M.Hafez Hanan A.Hosni Mahmoud | 2023 | Intelligent Automation & Soft Computing2023，，3： | 0 |
| 4 | 含摩擦和加热的跨声速流动数值模拟研究(英文)显示文摘喷管中跨声速流动的反应流体动力学是实验和理论研究的一个重要领域。本文主要由两部分构成,在第一部分中对文献[2]中的Murman格式[1]的一般形式进行了简化,得到了守恒形式的欧拉方程,并对其求解方法进行了讨论,同时针对Chattot等的工作展开了分析,并给出了带激波的流动计算结果;而文章的第二部分则研究了包含摩擦、加热以及耗散的跨声速流动,并重点关注了一步Arrhenius化学反应模型下的爆震现象。本文还探究了摩擦力和带燃烧的跨声速流动之间的相互作用,同时详细给出了新的欧拉方程数值求解算法并同已有文献算例进行了对比验证。 | William E.Tavernetti Mohamed M.Hafez | 2016 | 空气动力学学报2016，34，2： | 0 |
| 5 | Data Mining Approach Based on Hierarchical Gaussian Mixture Representation Model显示文摘Infinite Gaussian mixture process is a model that computes the Gaus-sian mixture parameters with order.This process is a probability density distribu-tion with adequate training data that can converge to the input density curve.In this paper,we propose a data mining model namely Beta hierarchical distribution that can solve axial data modeling.A novel hierarchical Two-Hyper-Parameter Poisson stochastic process is developed to solve grouped data modelling.The solution uses data mining techniques to link datum in groups by linking their components.The learning techniques are novel presentations of Gaussian model-ling that use prior knowledge of the representation hyper-parameters and approx-imate them in a closed form.Experiments are performed on axial data modeling of Arabic Script classification and depict the effectiveness of the proposed method using a hand written benchmark dataset which contains complex handwritten Ara-bic patterns.Experiments are also performed on the application of facial expres-sion recognition and prove the accuracy of the proposed method using a benchmark dataset which contains eight different facial expressions. | Hanan A.Hosni Mahmoud Alaaeldin M.Hafez Fahd Althukair | 2023 | Intelligent Automation & Soft Computing2023，，3： | 0 |
| 6 | Language-Independent Text Tokenization Using Unsupervised Deep Learning显示文摘Languages–independent text tokenization can aid in classification of languages with few sources.There is a global research effort to generate text classification for any language.Human text classification is a slow procedure.Conse-quently,the text summary generation of different languages,using machine text classification,has been considered in recent years.There is no research on the machine text classification for many languages such as Czech,Rome,Urdu.This research proposes a cross-language text tokenization model using a Transformer technique.The proposed Transformer employs an encoder that has ten layers with self-attention encoding and a feedforward sublayer.This model improves the efficiency of text classification by providing a draft text classification for a number of documents.We also propose a novel Sub-Word tokenization model with frequent vocabulary usage in the documents.The Sub-Word Byte-Pair Tokenization technique(SBPT)utilizes the sharing of the vocabulary of one sentence with other sentences.The Sub-Word tokenization model enhances the performance of other Sub-Word tokenization models such pair encoding model by+10%using precision metric. | Hanan A.Hosni Mahmoud Alaaeldin M.Hafez Eatedal Alabdulkreem | 2023 | Intelligent Automation & Soft Computing2023，，1： | 0 |
| 7 | 第三部分 家禽健康现状与疾病防控——家禽健康与生产面临的主要挑战显示文摘消费者对家禽产品质量和安全的信任的降低以及疾病的反复发生是未来家禽健康与生产面临的主要挑战。几种人类食源性感染与家禽有关,控制或消除这些食源性致病菌对家禽业提出了很大的问题。此外,抗生素耐药菌的增加也将产生持续的公共健康危害。 | Hafez M.Hafez | 2016 | 中国禽业导刊2016，0，18： | 0 |
| 8 | A Novel Optimized Language-Independent Text Summarization Technique显示文摘A substantial amount of textual data is present electronically in several languages.These texts directed the gear to information redundancy.It is essential to remove this redundancy and decrease the reading time of these data.Therefore,we need a computerized text summarization technique to extract relevant information from group of text documents with correlated subjects.This paper proposes a language-independent extractive summarization technique.The proposed technique presents a clustering-based optimization technique.The clustering technique determines the main subjects of the text,while the proposed optimization technique minimizes redundancy,and maximizes significance.Experiments are devised and evaluated using BillSum dataset for the English language,MLSUM for German and Russian and Mawdoo3 for the Arabic language.The experiments are evaluated using ROUGE metrics.The results showed the effectiveness of the proposed technique compared to other language-dependent and languageindependent summarization techniques.Our technique achieved better ROUGE metrics for all the utilized datasets.The technique accomplished an F-measure of 41.9%for Rouge-1,18.7%for Rouge-2,39.4%for Rouge-3,and 16.8%for Rouge-4 on average for all the dataset using all three objectives.Our system also exhibited an improvement of 26.6%,35.5%,34.65%,and 31.54%w.r.t.The recent model contributed in the summarization of BillSum in terms of ROUGE metric evaluation.Our model’s performance is higher than the comparedmodels,especially in themetric results ofROUGE_2which is bi-gram matching. | Hanan A.Hosni Mahmoud Alaaeldin M.Hafez | 2022 | Computers, Materials & Continua2022，，12： | 0 |
| 9 | Genetic Algorithm Optimization Model for Determining the Probability of Failure on Demand of the Safety Instrumented System显示文摘A more accurate determination for the Probability of Failure on Demand(PFD)of the Safety Instrumented System(SIS)contributes to more SIS realiability,thereby ensuring more safety and lower cost.IEC 61508 and ISA TR.84.02 provide the PFD detemination formulas.However,these formulas suffer from an uncertaity issue due to the inclusion of uncertainty sources,which,including high redundant systems architectures,cannot be assessed,have perfect proof test assumption,and are neglegted in partial stroke testing(PST)of impact on the system PFD.On the other hand,determining the values of PFD variables to achieve the target risk reduction involves daunting efforts and consumes time.This paper proposes a new approach for system PFD determination and PFD variables optimization that contributes to reduce the uncertainty problem.A higher redundant system can be assessed by generalizing the PFD formula into KooN architecture without neglecting the diagnostic coverage factor(DC)and common cause failures(CCF).In order to simulate the proof test effectiveness,the Proof Test Coverage(PTC)factor has been incorporated into the formula.Additionally,the system PFD value has been improved by incorporating PST for the final control element into the formula.The new developed formula is modelled using the Genetic Algorithm(GA)artificial technique.The GA model saves time and effort to examine system PFD and estimate near optimal values for PFD variables.The proposed model has been applicated on SIS design for crude oil test separator using MATLAB.The comparison between the proposed model and PFD formulas provided by IEC 61508 and ISA TR.84.02 showed that the proposed GA model can assess any system structure and simulate industrial reality.Furthermore,the cost and associated implementation testing activities are reduced. | Ahmed H.Aburawwash M.M.Eissa Azza F.Barakat Hossam M.Hafez | 2019 | Electrical Science & Engineering2019，1，2： | 0 |
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