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Early Detection of Alzheimer’s Disease Based on Laplacian Re-Decomposition and XGBoosting

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Computer Systems Science & Engineering 2023年第9期46卷 2773-2795页

作者： Hala Ahmed Hassan soliman Shaker El-Sappagh Tamer Abuhmed Mohammed Elmogy Information Technology Department Faculty of Computers and InformationMansoura UniversityMansoura35511Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Faculty of Computers and Artificial Intelligence Benha UniversityBanha13518Egypt College of Computing and Informatics Sungkyunkwan UniversitySuwonKorea

The precise diagnosis of Alzheimer’s disease is critical for patient treatment,especially at the early stage,because awareness of the severity and progression risks lets patients take preventative actions before irreversible brain damage *** is possible to gain a holistic view of Alzheimer’s disease staging by combining multiple data modalities,known as image *** this paper,the study proposes the early detection of Alzheimer’s disease using different modalities of Alzheimer’s disease brain ***,the preprocessing was performed on the ***,the data augmentation techniques are used to handle ***,the skull is removed to lead to good *** the second phase,two fusion stages are used:pixel level(early fusion)and feature level(late fusion).We fused magnetic resonance imaging and positron emission tomography images using early fusion(Laplacian Re-Decomposition)and late fusion(Canonical Correlation Analysis).The proposed system used magnetic resonance imaging and positron emission tomography to take advantage of *** resonance imaging system’s primary benefits are providing images with excellent spatial resolution and structural information for specific *** emission tomography images can provide functional information and the metabolisms of particular *** characteristic helps clinicians detect diseases and tumor progression at an early ***,the feature extraction of fused images is extracted using a convolutional neural *** the case of late fusion,the features are extracted first and then ***,the proposed system performs XGB to classify Alzheimer’s *** system’s performance was evaluated using accuracy,specificity,and *** medical data were retrieved in the 2D format of 256×256 *** classifiers were optimized to achieve the final results:for the decision tree,the maximum depth of a tree was *** best number of trees for the random forest was 60;for

关键词： Alzheimer’s disease(AD) machine learning(ML) image fusion Laplacian Re-decomposition(LRD) XGBoosting

Drone-based AI/IoT Framework for Monitoring,Tracking and Fighting Pandemics

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Computers, Materials & Continua 2022年第6期71卷 4677-4699页

作者： Abdelhamied A.Ateya Abeer D.Algarni Andrey Koucheryavy Naglaa.F.soliman Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Engineering Zagazig UniversityZagazigSharqia44519Egypt Department of Telecommunication Networks and Data Transmission the Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia

Since World Health Organization(WHO)has declared the Coronavirus disease(COVID-19)a global pandemic,the world has *** life’s fields and daily habits have moved to adapt to this new *** to WHO,the probability of such virus pandemics in the future is high,and recommends preparing for worse *** this end,this work provides a framework for monitoring,tracking,and fighting COVID-19 and future *** proposed framework deploys unmanned aerial vehicles(UAVs),e.g.;quadcopter and drone,integrated with artificial intelligence(AI)and Internet of Things(IoT)to monitor and fight *** consists of two main systems;AI/IoT for COVID-19 monitoring and drone-based IoT system for *** two systems are integrated with the IoT paradigm and the developed algorithms are implemented on distributed fog units connected to the IoT network and controlled by software-defined networking(SDN).The proposed work is built based on a thermal camera mounted in a face-shield,or on a helmet that can be used by people during *** detected images,thermal images,are processed by the developed AI algorithm that is built based on the convolutional neural network(CNN).The drone system can be called,by the IoT system connected to the helmet,once infected cases are *** drone is used for sterilizing the area that contains multiple infected *** proposed framework employs a single centralized SDN controller to control the network *** developed system is experimentally evaluated,and the results are *** indicate that the developed framework provides a novel,efficient scheme for monitoring and fighting COVID-19 and other future pandemics.

关键词： Internet of Things convolutional neural network fog computing software-defined networking COVID-19 drone

Vertical Pod Autoscaling in Kubernetes for Elastic Container Collaborative Framework

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Computers, Materials & Continua 2023年第1期74卷 591-606页

作者： Mushtaq Niazi Sagheer Abbas Abdel-Hamid soliman Tahir Alyas Shazia Asif Tauqeer Faiz School of Computer Science National College of Business Administration and EconomicsLahore54000Pakistan School of Digital Technologies and ArtStaffordshire UniversityST42DFUK Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Higher Colleges of Technology Abu DhabiUAE Department of Enterprise Computing Skyline University CollegeSharjahUAE

Kubernetes is an open-source container management tool which automates container deployment,container load balancing and container(de)scaling,including Horizontal Pod Autoscaler(HPA),Vertical Pod Autoscaler(VPA).HPA enables flawless operation,interactively scaling the number of resource units,or pods,without *** Resource Metrics,such as CPU and memory use of host machines and pods,are monitored by *** Computing has emerged as a platform for individuals beside the corporate *** provides cost-effective infrastructure,platform and software services in a shared *** the other hand,the emergence of industry 4.0 brought new challenges for the adaptability and infusion of cloud *** the global work environment is adapting constituents of industry 4.0 in terms of robotics,artificial intelligence and IoT devices,it is becoming eminent that one emerging challenge is collaborative *** of such autonomous mechanism that can develop,manage and operationalize digital resources like CoBots to perform tasks in a distributed and collaborative cloud environment for optimized utilization of resources,ensuring schedule *** schematics are also linked with Bigdata management produced by large scale industry 4.0 *** use cases and simulation results showed a significant improvement in Pod CPU utilization,latency,and throughput over Kubernetes environment.

关键词： Autoscaling query optimization pods kubernetes container orchestration

Dynamic S-Box Generation Using Novel Chaotic Map with Nonlinearity Tweaking

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Computers, Materials & Continua 2023年第5期75卷 3011-3026页

作者： Amjad Hussain Zahid Muhammad Junaid Arshad Musheer Ahmad Naglaa F.soliman Walid El-Shafai School of Systems and Technology University of Management and TechnologyLahore54700Pakistan Department of Computer Science University of Engineering and TechnologyLahore54700Pakistan Department of Computer Engineering Jamia Millia IslamiaNew Delhi110025India Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

A substitution box(S-Box)is a crucial component of contemporary cryptosystems that provide data protection in block *** the moment,chaotic maps are being created and extensively used to generate these SBoxes as a chaotic map assists in providing disorder and resistance to combat cryptanalytical *** this paper,the construction of a dynamic S-Box using a cipher key is proposed using a novel chaotic map and an innovative tweaking *** projected chaotic map and the proposed tweak approach are presented for the first time and the use of parameters in their workingmakes both of these dynamic in *** tweak approach employs cubic polynomials while permuting the values of an initial S-Box to enhance its cryptographic *** of the parameters are provided using the cipher key and a small variation in values of these parameters results in a completely different unique *** analysis and exploration confirmed that the projected chaoticmap exhibits a significant amount of chaotic *** security assessment in terms of bijectivity,nonlinearity,bits independence,strict avalanche,linear approximation probability,and differential probability criteria are utilized to critically investigate the effectiveness of the proposed S-Box against several *** proposed S-Box’s cryptographic performance is comparable to those of recently projected S-Boxes for its adaption in real-world security *** comparative scrutiny pacifies the genuine potential of the proposed S-Box in terms of its applicability for data security.

关键词： Substitution-box chaotic map data security tweaking

Identification and Classification of Crowd Activities

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Computers, Materials & Continua 2022年第7期72卷 815-832页

作者： Manar Elshahawy Ahmed O.Aseeri Shaker El-Sappagh Hassan soliman Mohammed Elmogy Mervat Abu-Elkheir Department of Information Technology Faculty of Computers and InformationMansoura UniversityEgypt Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Information Systems Faculty of Computers and Artificial IntelligenceBenha UniversityEgypt Faculty of Computer Science and Engineering Galala University435611SuezEgypt Department of Computer Science Faculty of Media Engineering and TechnologyGerman UniversityEgypt

The identification and classification of collective people’s activities are gaining momentum as significant themes in machine learning,with many potential applications *** need for representation of collective human behavior is especially crucial in applications such as assessing security conditions and preventing crowd *** paper investigates the capability of deep neural network(DNN)algorithms to achieve our carefully engineered pipeline for crowd *** includes three principal stages that cover crowd analysis ***,individual’s detection is represented using the You Only Look Once(YOLO)model for human detection and Kalman filter for multiple human tracking;Second,the density map and crowd counting of a certain location are generated using bounding boxes from a human detector;and Finally,in order to classify normal or abnormal crowds,individual activities are identified with pose *** proposed system successfully achieves designing an effective collective representation of the crowd given the individuals in addition to introducing a significant change of crowd in terms of activities *** results onMOT20 and SDHA datasets demonstrate that the proposed system is robust and *** framework achieves an improved performance of recognition and detection peoplewith a mean average precision of 99.0%,a real-time speed of 0.6ms non-maximumsuppression(NMS)per image for the SDHAdataset,and 95.3%mean average precision for MOT20 with 1.5ms NMS per image.

关键词： Crowd analysis individual detection You Only Look Once(YOLO) multiple object tracking kalman filter pose estimation

Transcriptome analysis revealing the mechanism of soybean protein isolates and soybean peptides on Lacticaseibacillus rhamnosus Lra05

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Food Bioscience 2022年第3期47卷 736-744页

作者： Yinxiao Zhang Shuya Zhu Chi Zhang Mohamed Mohamed soliman He Li Xinqi Liu Beijing Advanced Innovation Center for Food Nutrition and Human Health Beijing Engineering and Technology Research Center of Food AdditivesNational Soybean Processing Industry Technology Innovation CenterBeijing Technology and Business UniversityBeijing100048China Clinical Laboratory Sciences Department Turabah University CollegeTaif University21995Saudi Arabia

To further investigate the promoting effect of soybean protein and peptides on Lacticaseibacillus rhamnosus Lra05(*** Lra05),the overall changes of gene expression of it was investigated through transcriptome analysis treated with dPEP and dSPI The results showed that there were 890,113,and 1073 differentially expressed genes(DEGs)in dPEP/MRS,dSPI/MRS and dPEP/dSPI comparison,***,we found dPEP could promote the expression of acc and fab family genes related to fatty acid biosynthesis,but dSPI played the opposite ***,dPEP stimulated genes clustered in pur family and ribosome protein,responsible for purine and protein ***,dPEP suppressed genes regulating peptides and amino acids transportation and dSPI specially inhibited the pyr family genes involved in pyrimidine *** data revealed the knowledge about the metabolic pathways affected by dPEP and dSPI and provide a preliminary understanding of the relationship between soybean proteins and peptides and *** Lra05.

关键词： Lacticaseibacillus rhamnosus Soybean protein isolates Soybean peptides Transcriptome analysis

Protective Effects of Estradiol on Myocardial Contractile Function Following Hemorrhagic Shock and Resuscitation in Rats

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Chinese Medical Journal 2015年第17期128卷 2360-2364页

作者： Mona soliman Department of Physiology Colrege of Medicine King Saud University Riyadh 11461 Saudi Arabia

Background： Hemorrhagic shock （HS） results in myocardial contractile dysfunction. Studies showed that 17β-estradiol protects the myocardium against contractile dysfunction. The study investigated the cardioprotective effects of treatment with 17β-estradiol before resuscitation following 1 h of HS and resuscitation. Methods： Male Sprague-Dawley rats were assigned to 2 sets of experimental protocols： Ex vivo and in vivo treatment and resuscitation. Each set had three experimental groups （n = 6 per group）： Normotensive （N）, HS and resuscitation （HS-R） and HS rats treated with 17β-estradiol （E） and resuscitated （HS-E-R）. Rats were hemorrhaged over 60-rain to reach a mean arterial blood pressure of 40 mmHg. In the ex vivo group, hearts were resuscitated by perfusion in the Langendorff system. In the 17β-estradiol treated group, 17β-estradiol 280 μg/kg was added for the first 5 min. Cardiac function was measured. Left ventricular generated pressure （LVGP） and ＋dP/dt were calculated. In the in vivo group, rats were treated with 17β-estradiol 280 ±g/kg s.c. after 60-rain HS. Resuscitation was performed in vivo by the reinfusion of the shed blood for 30-min to restore normotension. Results： Treatment with 17β-estradiol before resuscitation in ex vivo treated and resuscitated isolated hearts and in the in vivo treated and resuscitated rats following HS improved myocardial contractile function. In the in vivo treated group, LVGP and ＋dP/dt max were significantly higher in 17β-estradiol treated rats compared to the untreated group （LVGP 136.40 ± 6.61 compared to 47.58 ± 17.55, and ＋dP/dt 661.85 ± 49.88 compared to 88.18 ± 0.85）. Treatment with 17β-estradiol improved LVGP following HS. Conclusions： The results indicate that treatment with 17β-estradiol before resuscitation following HS protects the myocardium against dysfunction.

关键词： Contractility Heart Hemorrhage Rats Resuscitation

A novel hybrid cryptosystem based on DQFrFT watermarking and 3D-CLM encryption for healthcare services

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Frontiers of Information Technology & Electronic Engineering 2023年第7期24卷 1045-1061页

作者： Fatma KHALLAF Walid EL-SHAFAI El-Sayed M.EL-RABAIE Naglaa F.soliman Fathi EAbd E.L-SAMIE Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Department of Electrical Engineering Faculty of EngineeringAhram Canadian University6^(th)October CityGiza 12451Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh I1586Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia

Quaternion algebra has been used to apply the fractional Fourier transform(FrFT)to color images in a comprehensive ***,the discrete fractional random transform(DFRNT)with adequate basic randomness remains to be *** paper presents a novel multistage privacy system for color medical images based on discrete quaternion fractional Fourier transform(DQFrFT)watermarking and three-dimensional chaotic logistic map(3D-CLM)***,we describe quaternion DFRNT(QDFRNT),which generalizes DFRNT to handle quaternion signals effectively,and then use QDFRNT to perform color medical image adaptive *** efficiently evaluate QDFRNT,this study derives the relationship between the QDFRNT of a quaternion signal and the four components of the DFRNT ***,it uses the human vision system's(HVS)masking qualities of edge,texture,and color tone immediately from the color host image to adaptively modify the watermark strength for each block in the color medical image using the QDFRNT-based adaptive watermarking and support vector machine(SVM)*** limitations of watermark embedding are also explained to conserve watermarking ***,3D-CLM encryption is employed to improve the system's security and efficiency,allowing it to be used as a multistage privacy *** proposed security system is effective against many types of channel noise attacks,according to simulation results.

关键词： Color medical image Quaternion Adaptive watermarking Encryption Fractional transform Three-dimensional chaotic logistic map(3D-CLM)

Digital Object Architecture for IoT Networks

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Intelligent Automation & Soft Computing 2023年第1期35卷 97-110页

作者： Mahmood Al-Bahri Abdelhamied Ateya Ammar Muthanna Abeer D.Algarni Naglaa F.soliman Department of Computing and IT Sohar UniversitySohar311Oman Department of Electronics and Communications Engineering Zagazig UniversityZagazig44519SharqiaEgypt Telecommunication Networks and Data Transmission St.Petersburg State University of TelecommunicationSt.Petersburg193232Russia Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

The Internet of Things(IoT)is a recent technology,which implies the union of objects,“things”,into a single worldwide *** promising paradigm faces many design challenges associated with the dramatic increase in the number of *** identification is one of these challenges that becomes complicated with the increase of network *** this,there is still no universally accepted method of identifying things that would satisfy all requirements of the existing IoT devices and *** this regard,one of the most important problems is choosing an identification system for all IoT devices connected to the public communication *** unique soft-ware and hardware solutions are used as a unique global identifier;however,such solutions have many *** article proposes a novel solution,based on the Digital Object Architecture(DOA),that meets the requirements of identifying devices and applications of the *** work analyzes the benefits of using the DOA as an identification platform in modern telecommunication *** propose a model of an identification system based on the architecture of digital objects,which differs from the well-known *** proposed model ensures an acceptable quality of service(QoS)in the common architecture of the existing public communication networks.A novel interaction architecture is developed by introducing a Middle Handle Register(MHR)between the global register,i.e.,Global Handle Register(GHR),and local register,i.e.,Local Handle Register(LHR).The aspects of the network interaction and the compatibility of IoT end-devices with the integrated DOA identifiers in heterogeneous communication networks are *** developed model is simulated for a wide-area network with allocated registers,and the results are introduced and discussed.

关键词： Internet of things identification digital object architecture handle system security