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Cognitive Computing-Based Mammographic image Classification on an internet of Medi.al

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Computers, Materials & Continua 2022年第8期72卷 3945-3959页

作者： Romany F.mansour Maha M.althobaiti Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Recently,the internet of Medi.al Things(ioMT)has become a research hotspot due to its various applicability in medi.al ***,the data analysis and management in ioMT remain challenging owing to the existence of a massive number of devices linked to the server environment,generating a massive quantity of healthcare *** such cases,cognitive computing can be employed that uses many intelligent technologies-machine learning(ML),deep learning(DL),artificial intelligence(Ai),natural language processing(NLP)and others-to comprehend data ***,breast cancer(BC)has been found to be a major cause of mortality among ladies *** detection and classification of BC using digi.al mammograms can decrease the mortality *** paper presents a novel deep learning-enabled multi-objective mayfly optimization algorithm(DLMOMFO)for BC diagnosis and classification in the ioMT *** goal of this paper is to integrate deep learning(DL)and cognitive computing-based techniques for e-healthcare applications as a part of ioMT technology to detect and classify *** proposed DL-MOMFO algorithm involved Adaptive Weighted Mean Filter(AWMF)-based noise removal and contrast-limited adaptive histogram equalisation(CLAHE)-based contrast improvement techniques to improve the quality of the digi.al *** addition,a U-Net architecture-based segmentation method was utilised to detect diseased regions in the ***,a SqueezeNet-based feature extraction and a fuzzy support vector machine(FSVM)classifier were used in the presented *** enhance the diagnostic performance of the presented method,the MOMFO algorithm was used to effectively tune the parameters of the SqueezeNet and FSVM *** DL-MOMFO technique was tested on the MiAS database,and the experimental outcomes revealed that the DL-MOMFO technique outperformed existing techniques.

关键词： Cognitive computing breast cancer digi.al mammograms image processing internet of medi.al things smart healthcare

Racial Differences Effects on Oral Health and Periodontal Diseases Extent, Staging and Grading among the Multi-Ethnic Expatriates in Aseer Region, Saudi Arabia

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international Journal of Clini.al Medicine 2021年第4期12卷 145-164页

作者： Mohammed M. A. abdullah al-Abdaly Sultan mansour A. alqahtani Shaker Saleh M. alosman Ghadah ali Saad alqahtani Periodontics and Community Dental Sciences Department College of Dentistry King Khalid University Abha Saudi Arabia College of Dentistry King Khalid University Abha Saudi Arabia

Background: Given the increase in the numbers of expatriates in Saudi Arabia and the shortage of information about expatriates’ oral health and periodontal disease severity and progression. Objectives: This study aimed to evaluate the effects of the racial differences on oral health and periodontal disease extent, staging, and grading among the multi-ethnic expatriates in the Aseer region, Saudi Arabia. Materials and Methods: This cross-sectional study was carried out on 300 expatriates in Aseer region, Saudi Arabia. They were divided into three equal racial different groups (n = 100), Arabs (AR), Asians (AS), and Africans (AF). The interviews of all participants were completed then the clini.al examinations of periodontal diseases extent, staging, and grading parameters were performed. Statisti.al analysis was done by ANOVA test, Tukey’s test, and Chi-square test. The statisti.al significance level was determined at p Results: There were statisti.ally significant differences in the comparison between the three ethnic/racial groups in clini.al parameters except in GBi, PCR, Fi, TFO, and BC, where there were no statisti.ally significant differences in the comparison between the three ethnic/racial groups. There were differences associated with age, gender, smoking, and diabetes, without statisti.ally significant differences among the three racial groups. Conclusion: We concluded that most participants in this study had a generalized severe grade 4 plaque-induced gingivitis and localized periodontitis stage iii grade B.

关键词： Multi-Ethnics Oral Health Periodontal Diseases Extent Staging and Grading

A Sensor-based SLAM algorithm for Camera Tracking in Virtual Studio

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international Journal of Automation and computing 2008年第2期5卷 152-162页

作者： mansour Moniri Claude C.Chibelushi Faculty of Computing Engineering and TechnologyStaffordshire University

This paper addresses a sensor-based simultaneous localization and mapping （SLAM） algorithm for camera tracking in a virtual studio environment. The traditional camera tracking methods in virtual studios are vision-based or sensor-based. However, the chroma keying process in virtual studios requires color cues, such as blue background, to segment foreground objects to be inserted into images and videos. Chroma keying limits the application of vision-based tracking methods in virtual studios since the background cannot provide enough feature information. Furthermore, the conventional sensor-based tracking approaches suffer from the jitter, drift or expensive computation due to the characteristics of individual sensor system. Therefore, the SLAM techniques from the mobile robot area are first investigated and adapted to the camera tracking area. Then, a sensor-based SLAM extension algorithm for two dimensional （2D） camera tracking in virtual studio is described. also, a technique called map adjustment is proposed to increase the accuracy＇ and efficiency of the algorithm. The feasibility and robustness of the algorithm is shown by experiments. The simulation results demonstrate that the sensor-based SLAM algorithm can satisfy the fundamental 2D camera tracking requirement in virtual studio environment.

关键词： Simultaneous localization and mapping (SLAM) particle filter chroma key camera tracking

The Lanthanide Tetrad Effect in Argillic alteration: An Example from the Jizvan District, Northern iran

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Acta Geologica Sinica(English Edition) 2018年第4期92卷 1468-1485页

作者： ali ABEDiNi mansour REZAEi AZiZi.ali Asghar CalAGARi Department of Geology Faculty of Sciences Urmia University Department of Earth Sciences Faculty of Natural Sciences University of Tabriz

intrusion of quartz-monzodioritic igneous bodies of Oligocene age into Eocene lithic crystal tufts and trachy-basalts resulted in the occurrence of a widespread argillic alteration zone in the Jizvan district （northern iran）. Mineralogi.ally, the argillie alteration zone includes minerals such as kaolinite, quartz, smectite, pyrophyllite, muscovite-illite, alunite, rutile, calcite, feldspar, chlorite, hematite and goethite. Therefore, the non-CHARAC behaviour for trace elements in the argillic samples is reflected in the non-chondritic Y/Ho and Zr/Hf ratios and the irregular REE patterns, which appear related to the tetrad effect phenomenon. The chondrite-normalized REE distribution patterns indicate both concave （W-shaped） and convex （M-shaped） tetrad effects in the argillic samples. Based on the field evidence and the results from geochemi.al studies, it can be concluded that the samples from the argillic alteration zone having high fourth tetrad effect values （〉0.30） were developed in the fault and breccia zones. The results indicate that factors such as preferential scavenging by Mn-oxides, crystallization of clay minerals, fluid-rock interaction, overprint of hypogene mineral assemblage by supergene ones, and the structural control, have all played an important role in the occurrence of tetrad effects in samples of the argillic zone in the Jizvan district.

关键词： REE geochemistry tetrad effect argillic alteration Jizvan iran

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沙特阿拉伯利雅得市柔性路面性能模型的建立

交通建设与管理 2007年第4期 17-24页

作者： abdullah al-mansour Mohamad al-Mubaraky 吕东旭 King Saud 大学土木工程系 King Saud 大学土木工程系沙特阿拉伯利雅得市沙特阿拉伯利雅得市

根据利雅得市路面养护管理系统(PMMS)的要求,在制定养护计划前要进行综合路面目测调查。在路况调查过程中,要对路面类型、损坏严重程度和现有路面损坏密度的详细信息进行数据采集。并根据这些采集而来的数据,确定路网(段)所需采取的养... 详细信息

根据利雅得市路面养护管理系统(PMMS)的要求,在制定养护计划前要进行综合路面目测调查。在路况调查过程中,要对路面类型、损坏严重程度和现有路面损坏密度的详细信息进行数据采集。并根据这些采集而来的数据,确定路网(段)所需采取的养护措施。整个过程既昂贵,又费时。本文所建立的路面损坏预测模型涵盖利雅得市路网的所有常见的路面损坏类型,用以预测在不同的路面条件下,路面损坏的严重程度、路面状况、交通量和公路等级,其损坏密度随时间的变化。模型是在综合主要街道61种和次要街道28种情况调查的基础上建立的,通过备用数据点对预测模型的修正,模型能够充分预测路面损坏密度,并将误差保持在有效范围内。因此,在实行养护计划之前,利用模型对采集来的路面损坏数据进行修正,将大大减少综合性目测调查的工作量。

关键词：路面损坏路面状况交通量路面养护管理系统损坏类型损坏程度预测模型路面性能模型养护计划严重程度

REE Tetrad Effect as a Powerful indicator of Formation Conditions of Karst Bauxites: A Case Study of the Shahindezh Deposit, NW iran

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Acta Geologica Sinica(English Edition) 2019年第4期93卷 912-927页

作者： ali ABEDiNi mansour REZAEi AZiZi.ali Asghar CalAGARi Department of Geology Faculty of SciencesUrmia University*** UrmiaIran Department of Earth Sciences Faculty of Natural SciencesUniversity of Tabriz*** TabrizIran

Study of the concentration of major,trace,and rare earth elements(REE)in the Shahindezh karst bauxite deposit,northwestern iran clarifies the relationship of the tetrad effect with geochemi.al parameters in the bauxite *** existence of irregular curves in the chondrite-normalized REE patterns as well as non-CHARAC behavior of geochemi.ally isovalent pairs(Y/Ho)are related to the tetrad *** meaningful positive correlation between the sizes of the calculated T3 tetrad effect and some geochemi.al factors such as Y/Ho,ΣREE,La/Y,(La/Yb)N,and(LREE/HREE)N as well as some major oxides-based parameters like al2O3+LOi/SiO2+Fe2O3,al2O3/Fe2O3,al2O3+LOi,iOL,and SiO2+Fe2O3indicate that the studied bauxite horizon was likely deposited by different(acidic and/or alkalic)solutions at different *** lower part of the studied horizon with a thickness of^4.7 m displays alkali characteristics whereas the upper parts of the horizon with a thickness of^5.3 m are characterized by more acidic *** results are fully supported by the co-occurrence of convex-concave tetrad effect curves in the chondrite-normalized REE ***,the tetrad effect phenomenon used in this study has proved to be a good and reliable geochemi.al proxy to assess the conditions of the depositional environment in the Shahindezh bauxite ores.

关键词： Geochemistry REE Tetrad effect Karst bauxite Shahindezh iran

Natural Language Processing with Opti.al Deep Learning Based Fake News Classification

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Computers, Materials & Continua 2022年第11期73卷 3529-3544页

作者： Sara Aalthubiti Fayadh alenezi Romany F.mansour Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Electri.al Engineering College of EngineeringJouf UniversitySaudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

The recent advancements made in World Wide Web and social networking have eased the spread of fake news among people at a faster *** most of the times,the intention of fake news is to misinform the people and make manipulated societal *** spread of low-quality news in social networking sites has a negative influence upon people as well as the *** order to overcome the ever-increasing dissemination of fake news,automated detection models are developed using Artificial intelligence(Ai)and Machine Learning(ML)*** latest advancements in Deep Learning(DL)models and complex Natural Language Processing(NLP)tasks make the former,a significant solution to achieve Fake News Detection(FND).in this background,the current study focuses on design and development of Natural Language Processing with Sea Turtle Foraging Optimizationbased Deep Learning Technique for Fake News Detection and Classification(STODL-FNDC)*** aim of the proposed STODL-FNDC model is to discriminate fake news from legitimate news in an effectual *** the proposed STODL-FNDC model,the input data primarily undergoes pre-processing and Glove-based word ***,STODL-FNDC model employs Deep Belief Network(DBN)approach for detection as well as classification of fake ***,STO algorithm is utilized after adjusting the hyperparameters involved in DBN model,in an opti.al *** novelty of the study lies in the design of STO algorithm with DBN model for *** order to improve the detection performance of STODL-FNDC technique,a series of simulations was carried out on benchmark *** experimental outcomes established the better performance of STODL-FNDC approach over other methods with a maximum accuracy of 95.50%.

关键词： Natural language processing text mining fake news detection deep belief network machine learning evolutionary algorithm

Steganography-Based Transmission of Medi.al images Over Unsecure Network for Telemedicine Applications

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Computers, Materials & Continua 2021年第9期68卷 4069-4085页

作者： Romany F.mansour Moheb R.Girgis Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt Department of Computer Science Faculty of ScienceMinia UniversityEl-MiniaEgypt

Steganography is one of the best techniques to hide secret *** steganography methods are available that use an image as a cover object,which is called image *** image steganography,the major features are the cover object quality and hiding data *** to poor image quality,attackers could easily hack the secret ***,the hidden data quantity should be improved,while keeping stego-image quality *** main aim of this study is combining several steganography techniques,for secure transmission of data without leakage and unauthorized *** this paper,a technique,which combines various steganographybased techniques,is proposed for secure transmission of secret *** the pre-processing step,resizing of cover image is performed with Pixel Repetition Method(PRM).Then DES(Data Encryption Standard)algorithm is used to encrypt secret data before embedding it into cover *** encrypted data is then converted to hexadeci.al *** is followed by embedding using Least Signification Bit(LSB)in order to hide secret data inside the cover ***,image de-noising using Convolutional Neural Network(CNN)is used to enhance the cover image with hidden encrypted *** Zerotrees of Wavelet Transform is used to compress the image in order to reduce its *** are conducted to evaluate the performance of proposed combined steganography technique and results indicate that the proposed technique outperforms all existing *** achieves better PSNR,and encryption/decryption times,than existing methods for medi.al and other types of images.

关键词： Steganography secure data transmission CNN encryption telemedicine

Aflatoxins,hepatocellular carcinoma and public health

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World Journal of Gastroenterology 2013年第10期19卷 1508-1512页

作者： Arvin Magnussen mansour A Parsi Sandefjord High School 3228 SandefjordNorway Section for Therapeutic and Pancreatobiliary Endoscopy Digestive Disease InstituteCleveland ClinicClevelandOH 44195United States

Hepatocellular carcinoma(HCC) is one of the leading causes of cancer deaths worldwide,primarily affecting populations in the developing ***,a food contaminant produced by the fungi Aspergillus flavus and Aspergillus parasiticus,is a known human carcinogen that has been shown to be a causative agent in the pathogenesis of *** can affect a wide range of food commodities including corns,oilseeds,spices,and tree nuts as well as milk,meat,and dried *** factors affect the growth of Aspergillus fungi and the level of aflatoxin contamination in *** stress is one of the factors that increase susceptibility of plants to Aspergillus and thus aflatoxin contamination.A recent drought is thought to be responsible for finding of trace amounts of aflatoxin in some of the corn harvested in the United *** it's too soon to know whether aflatoxin will be a significant problem,since United States is the world's largest corn producer and exporter,this has raised alarm *** regulations and testing of finished foods and feeds in the United States should prevent a major health scare,and prevent human exposure to deleterious levels of ***,such regulations and testing are not in place in many *** purpose of this editorial is to summarize the current knowledge on association of aflatoxin and HCC,encourage future research and draw attention to this global public health issue.

关键词： Aflatoxins Hepatocellular carcinoma Environmental health Food safety Public health