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

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

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Few-Shot Learning for Discovering Anomalous Behaviors in Edge Networks

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Computers, Materials & Continua 2021年第11期69卷 1823-1837页

作者： Merna Gamal hala M.Abbas Nour Moustafa Elena Sitnikova Rowayda A.Sadek Department of Information Technology Helwan UniversityCairoEgypt Department of Computer Science Helwan UniversityCairoEgypt School of Engineering and Information Technology University of New South Wales at ADFACanberraAustralia

Intrusion Detection Systems(IDSs)have a great interest these days to discover complex attack events and protect the critical infrastructures of the Internet of Things(IoT)*** IDSs based on shallow and deep network architectures demand high computational resources and high volumes of data to establish an adaptive detection engine that discovers new families of attacks from the edge of IoT ***,attackers exploit network gateways at the edge using new attacking scenarios(i.e.,zero-day attacks),such as ransomware and Distributed Denial of Service(DDoS)*** paper proposes new IDS based on Few-Shot Deep Learning,named CNN-IDS,which can automatically identify zero-day attacks from the edge of a network and protect its IoT *** proposed system comprises two-methodological stages:1)a filtered Information Gain method is to select the most useful features from network data,and 2)one-dimensional Convolutional Neural Network(CNN)algorithm is to recognize new attack types from a network’s *** proposed model is trained and validated using two datasets of the UNSW-NB15 and *** experimental results showed that it enhances about a 3%detection rate and around a 3%–4%falsepositive rate with the UNSW-NB15 dataset and about an 8%detection rate using the BoT-IoT dataset.

关键词： Convolution neural network information gain few-shot learning IoT edge computing

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Energy Theft Detection in Smart Grids with Genetic Algorithm-Based Feature Selection

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Computers, Materials & Continua 2023年第3期74卷 5431-5446页

作者： Muhammad Umair Zafar Saeed Faisal Saeed Hiba Ishtiaq Muhammad Zubair hala Abdel Hameed Faculty of Information Technology University of Central PunjabLahore54590Pakistan DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirmingham B47XGUK Faculty of Computer and Information Systems Fayoum University63514Egypt Khaybar Applied College Taibah UniversitySaudi Arabia

As big data,its technologies,and application continue to advance,the Smart Grid(SG)has become one of the most successful pervasive and fixed computing platforms that efficiently uses a data-driven approach and employs efficient information and communication technology(ICT)and cloud *** a result of the complicated architecture of cloud computing,the distinctive working of advanced metering infrastructures(AMI),and the use of sensitive data,it has become challenging tomake the SG *** of the SG are categorized into two main categories,Technical Losses(TLs)and Non-Technical Losses(NTLs).Hardware failure,communication issues,ohmic losses,and energy burnout during transmission and propagation of energy are ***’s are human-induced errors for malicious purposes such as attacking sensitive data and electricity theft,along with tampering with AMI for bill reduction by fraudulent *** research proposes a data-driven methodology based on principles of computational intelligence as well as big data analysis to identify fraudulent customers based on their load *** our proposed methodology,a hybrid Genetic Algorithm and Support Vector Machine(GA-SVM)model has been used to extract the relevant subset of feature data from a large and unsupervised public smart grid project dataset in London,UK,for theft detection.A subset of 26 out of 71 features is obtained with a classification accuracy of 96.6%,compared to studies conducted on small and limited datasets.

关键词： Big data data analysis feature engineering genetic algorithm machine learning

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Green synthesis of iron oxide(Fe_3O_4)nanoparticles using two selected brown seaweeds:Characterization and application for lead bioremediation

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Acta Oceanologica Sinica 2016年第8期35卷 89-98页

作者： EL-KASSAS hala Y. ALY-ELDEEN Mohamed A. GHARIB Samiha M. National Institute of Oceanography and Fisheries Alexandria 21556Egypt

The exploitation of different plant materials for the biosynthesis of nanoparticles is considered a green technology because it does not involve any harmful chemicals. In this study, iron oxide nanoparticles（Fe3O4-NPs） were synthesized using a completely green biosynthetic method by reduction of ferric chloride solution using brown seaweed water extracts. The two seaweeds Padina pavonica（Linnaeus） Thivy and Sargassum acinarium（Linnaeus） Setchell 1933 were used in this study. The algae extract was used as a reductant of Fe Cl3 resulting in the phytosynthesis of Fe3O4-NPs. The phytogenic Fe3O4-NPs were characterized by surface plasmon band observed close to 402 nm and 415 nm; the obtained Fe3O4-NPs are in the particle sizes ranged from 10 to 19.5 nm and 21.6 to 27.4 nm for P. pavonica and S. acinarium, respectively. The strong signals of iron were reported in their corresponding EDX spectra. FTIR analyses revealed that sulphated polysaccharides are the main biomolecules in the algae extracts that do dual function of reducing the Fe Cl3 and stabilizing the phytogenic Fe3O4-NPs. The biosynthesized Fe3O4-NPs were entrapped in calcium alginates beads and used in Pb adsorption experiments. The biosynthesized Fe3O4-NPs alginate beads via P. pavonica（Linnaeus） Thivy had high capacity for bioremoval of Pb（91%） while that of S. acinarium（Linnaeus） Setchell 1933 had a capacity of（78%） after 75 *** values of the process parameters for the maximum Pb removal efficiency by Fe3O4-NPs alginate beads synthesized via P. pavonica（Linnaeus） Thivy were also estimated.

关键词： seaweeds iron oxide silver nanoparticles

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Effect of Filler Content on Flexural and Viscoelastic Properties of Coir Fibers and Argania Nut-shells Reinforced Phenolic Resin Composites

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Journal of Bionic Engineering 2022年第6期19卷 1886-1898页

作者： hala Bensalah Marya Raji Kamal Gueraoui Abdelazziz Khtira Hamid Essabir Rachid Bouhfid Abou el kacem Qaiss Group of Mechanics and Materials Energy Research CenterFaculty of ScienceMohammed V University in Rabat10100RabatMorocco Composites and Nanocomposites Center Moroccan Foundation for Advanced ScienceInnovation and Research(MAScIR)10100RabatMorocco Mohammed Ⅵ Polytechnic University Lot 660 Hay Moulay Rachid43150Ben GuerirMorocco Group of Simulation in Mechanics and Energy Energy Research CenterFaculty of ScienceMohammed Ⅴ University10100RabatMorocco Group of Semiconductors and Environmental Sensor Technologies Energy Research CenterFaculty of ScienceMohammed V University10100RabatMorocco Mechanic Materials and Composites(MMC) Laboratory of Energy EngineeringMaterials and SystemsNational School of Applied Sciences of AgadirIbn Zohr University80000AgadirMorocco

The characteristics of two different kinds of lignocellulosic materials(vegetable fillers)with two morphologies as Argania nut-shells(ANS)particles and Coir Fibers(CF)were used as reinforcement for phenolic resin(Bakelite)in this work,and the composite are studied as a function of filler types,shape,content(10,20,and 30%***)and manufacturing loading force(1500 and 3000 LBs).Compression molding was used to create the composites,which were then evaluated using Scanning electronic microscopy(SEM),Fourier-transform infrared spectroscopy(FTIR),bending,dynamic-mechanical-thermal and rheological *** morphology of broken samples demonstrates that both fillers are well dispersed and *** fillers are added to the matrix,the flexural characteristics improve,and the optimal values are attained in the case of Argania *** results showed that the kind and shape of the fillers had a direct influence on the dynamic mechanical characteristics of the composites due to the reinforcement's modulus *** was noticed that,the increment of manufacturing loading force decreased the mechanical and dynamical properties of *** optimum properties obtained indicate that the composites can only be manufactured at low manufacturing loading force(1500 LBs).

关键词： Phenolic resin composites Bionic materials Coir Fibers Argania nut-shells Dynamical mechanical properties Rheological properties

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Utilization of HEVC ChaCha20-Based Selective Encryption for Secure Telehealth Video Conferencing

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Computers, Materials & Continua 2022年第1期70卷 831-845页

作者： Osama S.Faragallah Ahmed I.Sallam hala S.El-sayed Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom32511Egypt

Coronavirus(COVID-19)is a contagious disease that causes exceptional effect on healthcare organizationsworldwide with dangerous impact on medical services within the *** of the fast spread of COVID-19,the healthcare facilities could be a big source of disease ***,healthcare video consultations should be used to decrease face-to-face communication between clinician and *** video consultations may be beneficial for some COVID-19 conditions and reduce the need for faceto-face contact with a potentially positive patient without *** conditions are like top clinicians who provide remote consultations to develop treatment methodology and follow-up remotely,patients who consult about COVID-19,and those who have mild symptoms suggestive of the COVID-19 *** consultations are a supplement to,and not a substitute for,telephone *** may also form part of a broader COVID-19 distance care strategy that contains computerized screening,separation of possibly infectious patients within medical services,and computerized video-intensive observing of their intensive care that helps reduce ***,the spread of the COVID-19 virus helps to expand the use of video healthcare consultations because it helps to exchange experiences and remote medical consultations,save costs and health procedures used to cope with the pandemic of the COVID-19 virus,and monitor the progress of treatment plans,moment by moment from a distance with precision,clarity and *** this perspective,this paper introduces a high-efficiency video coding(HEVC)ChaCha20-based selective encryption(SE)scheme for secure healthcare video *** proposed HEVC ChaCha20-based SE scheme uses the ChaCha20 for encrypting the sign bits of the Discrete Cosine Transform(DCT)and Motion Vector Difference(MVD)in the HEVC entropy *** main achievement of HEVC ChaCha20-based SE scheme is encrypting the most sensitive video bits with keeping low

关键词： Telehealth HEVC cahcha20 video conferencing

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A Block Cipher Algorithm Based on Magic Square for Secure E-bank Systems

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Computers, Materials & Continua 2022年第10期73卷 1329-1346页

作者： Farah Tawfiq Abdul Hussien Abdul Monem S.Rahma hala Bahjat Abdul Wahab Computer Science Department University of TechnologyBaghdad10011Iraq

Nowadays the E-bank systems witnessed huge growth due to the huge developments in the internet and *** transmitted information represents crucial information that is exposed to various kinds of *** paper presents a new block cipher technique to provide security to the transmitted information between the customers and the ebank *** proposed algorithm consists of 10 rounds,each round involves 5 *** operations involve Add round key,Sub bytes,Zigzag method,convert to vector,and Magic Square of order *** purpose of this algorithm is to make use of the complexity of the Magic Square algorithm,the speed of addition operation,the confusion provided by the zigzag,using these operations with Galois field 28 GF(28),and repeating these operations for several rounds to build fast high secure encryption *** algorithm is designed to provide fast with high complexity and security which is suitable to encrypt the data that is transmitted over the ***,complexity,and The National Institute of Standards and Technology Framework NIST suite tests were *** complexity of the proposed algorithm is=((256)32)r+1∗((256)89)r+1+(256)*** proposed technique gives higher speed and security in the encryption and decryption phases,according to the results of the *** degree of randomness has grown by 31.8 *** to a decrease in the time of encrypting and decrypting,as well as the usage of the central processing unit(CPU),efficiency is *** encryption process throughput is enhanced by 13%,while the decryption process throughput is increased by 11.6 percent with the recommended approach.

关键词： Block cipher magic square order 11 complexity NIST suite zigzag GF(28) MS11

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Progression of e-ticketing implementation for state transportation agencies for asphalt materials

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Journal of Road Engineering 2024年第1期4卷 80-92页

作者： Joshua Withrow Gabriel B.Dadi hala Nassereddine Department of Civil Engineering University of KentuckyLexingtonKY 40506USA Kentucky Transportation Cabinet FrankfortKY 40622USA

E-ticketing,which has been promoted by the Federal Highway Administration(FHWA)“every day counts”(EDC)initiative,utilizes software applications to digitally track and store information regarding highway construction materials paid by state transportation agencies(STAs)by weight in unit bid contract *** often face implementation barriers such as institutional inertia,or the resistance by stakeholders to adopt changes from the status quo,including new *** purpose of this paper is to determine the progression of STA e-ticketing policy adoption,specifically with a focus on asphalt paving operations,due to the COVID-19 *** accomplish this research effort,previous FHWA data,National Cooperative Highway Research Program(NCHRP)data,and other literatures are reviewed to determine an implementation *** data is collected from the American Association of State Highway and Transportation Officials Committee on Con-struction to gain current feedback from STAs and their highway contractor partners after the COVID-19 ***,a case study featuring the Kentucky Transportation Cabinet(KYTC),the Kentucky Association of Highway Contractors(KAHC),and the Plantmix Asphalt Industry of Kentucky(PAIKY)is performed to provide more in-depth *** major finding includes a statistically significant result indicating increased imple-mentation of e-ticketing for asphalt operations within the last two years,along with noting benefits including employee safety,task loading,and project documentation along with concerns regarding cellular connectivity and procurement *** findings indicate the importance of STAs investing in partnership with con-tractors to improve stakeholder buy-in before proceeding towards e-ticketing adoption.

关键词： Asphalt paving Construction inspection E-ticketing COVID-19

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Characterization of Amphidinium(Amphidiniales,Dinophyceae)species from the China Sea based on morphological,molecular,and pigment data

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Journal of Oceanology and Limnology 2022年第3期40卷 1191-1219页

作者： Zhaohe LUO Hua ZHANG Qun LI Lei WANG hala F MOHAMED Songhui LÜ Haifeng GU Third Institute of Oceanography Ministry of Natural ResourcesXiamen 361005China Research Center of Harmful Algae and Marine Biology College of Life Science and TechnologyJinan UniversityGuangzhou 510362China Shenzhen Academy of Environmental Science Shenzhen 510008China Botany&Microbiology Department Faculty of ScienceAl-Azhar University(Girls Branch)Cairo 11751Egypt Southern Marine Science and Engineering Guangdong Laboratory Zhuhai 519000China Observation and Research Station of Coastal Wetland Ecosystem in Beibu Gulf Ministry of Natural ResourcesBeihai 536015China

Amphidinium species are amongst the most abundant benthic dinoflagellates in marine intertidal sandy *** of them are able to produce a variety of bioactive compounds that can have both harmful effects and pharmaceutical *** diversity of Amphidinium in shallow waters along the Chinese coast was investigated by isolating single cells from sand,coral,and macroalgal samples collected from 2012 to *** morphologies were subjected to examination using light microscopy(LM)and scanning electron microscopy(SEM).A total of 74 Amphidinium strains were morphologically identified,belonging to 11 species:***,***,***,***,***,***,***,***,***,***,***,as well as an undefined *** last seven species have not been previously reported in Chinese *** carterae subcladesⅠ,Ⅱ,andⅣwere found in the South China Sea,while subcladeⅢwas only found in the Yellow *** body scales were observed on the surface of subcladesⅢ and Ⅳ,supporting the idea that *** might contain several different *** subunit ribosomal RNA(LSU rRNA)sequencesbased phylogeny revealed two groups(GroupsⅠandⅡ)within Amphidinium,which is consistent with the relative position of sulcus(in touch with cingulum or not).In addition,large differences in morphology and molecular phylogeny between ***(the type species of Amphidinium)and other species,suggest that a subdivision of Amphidinium might be *** pigment profiles of all available strains were analyzed by high performance liquid chromatography(HPLC).Eleven pigments,including peridinin,diadinoxanthin,diatoxanthin,pheophorbide(and pheophorbide a),antheraxanthin,β-carotene,and four different chlorophylls were *** high pheophorbide/pheophorbide a ratio in Amphidinium implies that it may be a good candidate as a natural source of photosensitizers,a well-known anticancer drug.

关键词： harmful algae benthic-epiphytic dinofl agellate phylogeny geographic distribution pheophorbide photosensitizers

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Evolution of stellated gold nanoparticles:New conceptual insights into controlling the surface processes

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Nano Research 2022年第2期15卷 1260-1268页

作者： Gurvinder Singh Hesamodin Jami Pooria Lesani Shubhayan B.hattacharya Yogambha Ramaswamy Prem BBisht hala Zreiqat ARC Centre for Innovative BioEngineering Tissue Engineering and Biomaterials Research UnitSydney Nano Institute and the School oj Biomedical EngineeringThe University of SydneyNSW 2008Australia Department of Physics Indian Institute of Technology MadrasChennaiIndia

Understanding the surface processes(deposition and surface diffusion)that occur at or close to the surface of growing nanoparticles is important for fabricating reproducibly stellated or branched gold nanoparticles with precise control over arm length and spatial orientation of arms around the *** employing a simple seed-mediated strategy,we investigate the key synthetic variables for precise tuning of in situ surface processes(competition between the deposition and surface diffusion).These variables include the reduction rate of a reaction,the packing density of molecules/ions on the high surface energy facets,and *** a result,the thermodynamically stabilized nanoparticles(cuboctahedron and truncated cube)and kinetic products(cube,concave cube,octapod,stellated octahedron,and rhombic dodecahedron)in different sizes with high quantitative shape yield(>80%)can be obtained depending on the reduction rate of reaction and the packing density of molecules/*** computer simulation,we studied the stability of stellated(branched structure)and non-stellated(non-branched structure)gold nanoparticles at high *** construct a morphology phase diagram by varying different synthetic parameters,illustrating the formation of both stellated and non-stellated gold nanoparticles in a range of reaction *** stellated gold nanoparticles display shape-dependent optical properties and can be self-assembled into highly ordered superstructures to achieve an enhanced plasmonic *** strategy can be applied to other metal systems,allowing for the rational design of advanced new stellated metal nanoparticles with fascinating symmetry dependent plasmonic,catalytic,and electronic properties for technological applications.

关键词： surface diffusion shape control stellated nanoparticles self-assembly nanoplasmonics octapod stellated octahedron

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