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An Improved Deep Learning Framework for Automated Optic Disc Localization and Glaucoma Detection

Computer Modeling in Engineering & Sciences 2024年第8期140卷 1429-1457页

作者： Hela Elmannai Monia Hamdi Souham Meshoul amel ali alhus.an Manel Ayadi amel Ksibi Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information System College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Glaucoma disease causes irreversible damage to the optical nerve and it has the potential to cause permanent loss of *** ranks as the second most prevalent cause of permanent *** glaucoma diagnosis requires a highly experienced specialist,costly equipment,and a lengthy wait *** automatic glaucoma detection,state-of-the-art glaucoma detection methods include a segmentation-based method to calculate the cup-to-disc *** methods include multi-label segmentation networks and learning-based methods and rely on hand-crafted *** the optic disc(OD)is one of the key features in retinal images for detecting retinal diseases,especially for glaucoma disease *** approach presented in this study is based on deep classifiers for OD segmentation and glaucoma ***,the optic disc detection process is based on object detection using a Mask Region-Based Convolutional Neural Network(Mask-RCNN).The OD detection task was validated using the Dice score,intersection over union,and accuracy *** OD region is then fed into the second stage for glaucoma ***,considering only the OD area for glaucoma detection will reduce the number of classification artifacts by limiting the assessment to the optic disc *** this task,VGG-16(Visual Geometry Group),Resnet-18(Residual Network),and Inception-v3 were pre-trained and *** also used the Support Vector Machine *** feature-based method uses region content features obtained by Histogram of Oriented Gradients(HOG)and Gabor *** final decision is based on weighted fusion.A comparison of the obtained results from all classification approaches is *** metrics including accuracy and ROC curve are compared for each classification *** novelty of this research project is the integration of automatic OD detection and glaucoma diagnosis in a global ***,the fusion-based decision system uses the g

关键词： Optic disc glaucoma fundus image deep learning

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5G Resource Allocation Using Feature Selection and Greylag Goose Optimization Algorithm

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Computers, Materials & Continua 2024年第7期80卷 1179-1201页

作者： amel ali alhus.an S.K.Towfek Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Science and Intelligent Systems Research Center BlacksburgVA 24060USA

In the contemporary world of highly efficient technological development,fifth-generation technology(5G)is seen as a vital step forward with theoretical maximum download speeds of up to twenty gigabits per second(Gbps).As far as the current implementations are concerned,they are at the level of slightly below 1 Gbps,but this allowed a great leap forward from fourth generation technology(4G),as well as enabling significantly reduced latency,making 5G an absolute necessity for applications such as gaming,virtual conferencing,and other interactive electronic *** of this change are not limited to connectivity alone;it urges operators to refine their business strategies and offers users better and improved digital *** essential factor is optimization and the application of artificial intelligence throughout the general arrangement of intricate and detailed 5G *** Binary Greylag Goose Optimization(bGGO)to achieve a significant reduction in the feature set while maintaining or improving model performance,leading to more efficient and effective 5G network management,and Greylag Goose Optimization(GGO)increases the efficiency of the machine ***,the model performs and yields more accurate *** work proposes a new method to schedule the resources in the next generation,5G,based on a feature selection using GGO and a regression model that is an ensemble of K-Nearest Neighbors(KNN),Gradient Boosting,and Extra Trees *** ensemble model shows better prediction performance with the coefficient of determination R squared value equal *** proposed framework is supported by several Statistical analyses,such as theWilcoxon signed-rank *** of the benefits of this study are the introduction of new efficient optimization algorithms,the selection of features and more reliable ensemble models which improve the efficiency of 5G technology.

关键词： Optimization ensemble learning 5G technology artificial intelligence greylag goose optimization ANOVA test

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Urban Electric Vehicle Charging Station Placement Optimization with Graylag Goose Optimization Voting Classifier

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Computers, Materials & Continua 2024年第7期80卷 1163-1177页

作者： amel ali alhus.an Doaa Sami Khafaga El-Sayed M.El-kenawy Marwa M.Eid Abdelhameed Ibrahim Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute for Engineering and TechnologyMansoura35511Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric *** demand for environmentally friendly transportation may be hampered by obstacles such as a restricted range and extended rates of *** establishment of urban charging infrastructure that includes both fast and ultra-fast terminals is essential to address this ***,the powering of these terminals presents challenges because of the high energy requirements,whichmay influence the quality of *** the maximum hourly capacity of each station based on its geographic location is necessary to arrive at an accurate estimation of the resources required for charging *** is vital to do an analysis of specific regional traffic patterns,such as road networks,route details,junction density,and economic zones,rather than making arbitrary conclusions about traffic *** vehicle traffic is simulated using this data and other variables,it is possible to detect limits in the design of the current traffic engineering ***,the binary graylag goose optimization(bGGO)algorithm is utilized for the purpose of feature ***,the graylag goose optimization(GGO)algorithm is utilized as a voting classifier as a decision algorithm to allocate demand to charging stations while taking into consideration the cost variable of traffic *** on the results of the analysis of variance(ANOVA),a comprehensive summary of the components that contribute to the observed variability in the dataset is *** results of the Wilcoxon Signed Rank Test compare the actual median accuracy values of several different algorithms,such as the voting GGO algorithm,the voting grey wolf optimization algorithm(GWO),the voting whale optimization algorithm(WOA),the voting particle swarm optimization(PSO),the voting firefly algorithm(FA),and the voting genetic algori

关键词： Electric vehicle graylag goose optimization metaheuristics optimization machine learning

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Application of Plant-Based Coagulants and Their Mechanisms in Water Treatment:A Review

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Journal of Renewable Materials 2024年第4期12卷 667-698页

作者： Abderrezzaq Benalia Kerroum Derbal Zahra Amrouci Ouiem Baatache amel Khalfaoui Antonio Pizzi Higher Normal School of Constantine Ali Mendjeli Nouvelle VilleConstantine25000Algeria Laboratory of Process Engineering for Sustainable Development and Health Products(GPDDPS) Department of Process EngineeringNational Polytechnic School of ConstantineConstantine25000Algeria Department of Environmental Engineering Laboratoire de Recherche sur le Médicament et le Développement Durable(ReMeDD)University of Salah Boubnider Constantine 3El Khroub25012Algeria Laboratory LIPE Faculty Process EngineeringUniversity of Constantine 3Ali Mendjeli Nouvelle VilleConstantine25000Algeria Laboratoire d’Etude et Recherche sur le Matériau Bois(LERMAB).Ecole Nationale Supérieure des Technologies et Industries du Bois(ENSTIB)—University of Lorraine Epinal88000France

This review describes the mechanisms of natural *** provides a good understanding of the two key processes of coagulation-flocculation:adsorption and charge neutralization,as well as adsorption and *** factors have influence the coagulation/flocculation process,including the effect of pH,coagulant dosage,coagulant type,temperature,initial turbidity,coagulation speed,flocculation speed,coagulation and flocculation time,settling time,colloidal particles,zeta potential,the effects of humic acids,and extraction density are *** bio-coagulants derived from plants are *** impact of organic coagulants on water quality,focusing on their effects on the physicochemical parameters of water,heavy metals removal,and bacteriological water quality,is *** methods of extraction and purification of plant-based coagulants,highlighting techniques such as solvent extraction and ultrasonic extraction,are *** also examines the parameters that influence these *** methods and principles of purification of coagulating agents,including dialysis,freeze-drying,ion exchange,electrophoresis,filtration,and centrifugation,are ***,it evaluates the sustainability of natural coagulants,focusing on the environmental,technical,and economic aspects of their *** the end of this review,the readers should have a comprehensive understanding of the mechanisms,selection,extraction,purification,and sustainability of plant-based natural coagulants in water treatment.

关键词： Bio-coagulants coagulating agents extraction water treatment

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Atypical Weight Loss in Two Patients with Schizophrenia Treated with Clozapine: A Case Report

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Open Journal of Applied Sciences 2024年第9期14卷 2544-2558页

作者： amel Kamal Mohammed Ghaday Saad Almutairi Abdulsalam Abdullah Almreef Psychiatry Department Mental Health Hospital Hafr al-Batin Saudi Arabia College of Medicine Qassim University Unizah Saudi Arabia

Clozapine is widely recognized as an effective antipsychotic medication for treatment-resistant schizophrenia, but it is typically associated with significant weight gain. This case report presents two unusual cases of patients with schizophrenia who experienced substantial weight loss while on long-term clozapine therapy. The first case involves a 35-year-old male who lost 21.3% of his initial body weight, and the second case describes a 54-year-old female who lost 30.2% of her initial weight, despite having comorbid hypothyroidism. Both patients showed improvement in psychiatric symptoms concurrent with the weight loss. Comprehensive investigations did not reveal other clear etiologies for the weight reduction. These cases challenge the conventional understanding of clozapine’s metabolic effects and highlight the potential for atypical responses in some individuals. The report discusses possible mechanisms for this unusual phenomenon, including genetic factors and altered pharmacokinetics. It also emphasizes the need for individualized monitoring and management strategies in clozapine therapy. These findings contribute to the growing body of evidence suggesting that metabolic responses to clozapine may be more complex and varied than previously thought, underscoring the importance of personalized approaches in schizophrenia treatment.

关键词： Schizophrenia Clozapine Weight Loss Treatment-Resistant Atypical Antipsychotics Metabolic Effects Case Report

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模糊数学感官评价结合响应面法优化鲊辣椒混菌发酵工艺

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食品与发酵工业 2024年第7期50卷 83-91,I0004,I0005页

作者：黄璐晗尹小庆阚建全武运戚晨晨彭芸 SAMEH Awad amel Ibrahim 杜木英西南大学食品科学学院重庆400715 西南大学中匈食品科学合作研究中心重庆400715 川渝共建特色食品重庆市重点实验室重庆400715 西藏自治区农牧科学院农产品开发与食品科学研究所西藏拉萨850032 新疆农业大学食品科学与药学学院新疆乌鲁木齐830000 新疆新康农业发展有限公司新疆乌鲁木齐830000 亚历山大大学农学院埃及亚历山大999060

以小米椒和玉米粉为原料,植物乳植杆菌XZ3和生香酵母菌Y50为菌种,制作一款混菌发酵鲊辣椒。以鲊辣椒的模糊感官评分为响应值,采用Box-Behnken中心组合设计试验对鲊辣椒混菌发酵工艺进行优化,并测定其产品的功能性成分。结果表明,混菌发... 详细信息

以小米椒和玉米粉为原料,植物乳植杆菌XZ3和生香酵母菌Y50为菌种,制作一款混菌发酵鲊辣椒。以鲊辣椒的模糊感官评分为响应值,采用Box-Behnken中心组合设计试验对鲊辣椒混菌发酵工艺进行优化,并测定其产品的功能性成分。结果表明,混菌发酵鲊辣椒的最优发酵条件为:植物乳植杆菌XZ3与生香酵母菌Y50的比例为1∶1、混菌添加量为2.5%、食盐添加量为4%、发酵时间6 d。在此优化条件下,鲊辣椒的感官评分为8.45分。与不接种自然发酵鲊辣椒和利用植物乳植杆菌XZ3纯种发酵的鲊辣椒进行对比,发现优化后的混菌发酵鲊辣椒的香气更突出。进一步测定其功能性成分发现,混菌发酵鲊辣椒中多酚组分含量最高且种类检出最多,其总酸含量、辣椒碱含量和总黄酮含量都显著高于自然发酵鲊辣椒。除此之外,相比于其他两种,混菌发酵鲊辣椒中甜味氨基酸的含量上升,苦味氨基酸的比例降低。该研究为混菌发酵鲊辣椒的生产提供了有益参考。

关键词：鲊辣椒响应面分析模糊数学感官评定发酵工艺功能性成分

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HybridWatermarking and Encryption Techniques for Securing Medical Images

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Computer Systems Science & Engineering 2023年第7期46卷 403-416页

作者： amel ali alhus.an Hanaa A.Abdallah Sara Alsodairi Abdelhamied A.Ateya Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Engineering Zagazig UniversityZagazigSharqia44519Egypt

Securing medical data while transmission on the network is required because it is sensitive and life-dependent *** methods are used for protection,such as Steganography,Digital Signature,Cryptography,and *** paper introduces a novel robust algorithm that combines discrete wavelet transform(DWT),discrete cosine transform(DCT),and singular value decomposition(SVD)digital image-watermarking *** host image is decomposed using a two-dimensional DWT(2D-DWT)to approximate low-frequency sub-bands in the embedding *** the sub-band low-high(LH)is decomposed using 2D-DWT to four new *** resulting sub-band low-high(LH1)is decomposed using 2D-DWT to four new *** frequency bands,high-high(HH_(2))and high-low(HL_(2)),are transformed by DCT,and then the SVD is applied to the DCT *** strongest modified singular values(SVs)vary very little for most attacks,which is an important property of SVD *** two watermark images are encrypted using two layers of encryption,circular and chaotic encryption techniques,to increase *** first encrypted watermark is embedded in the S component of the DCT components of the HL_(2)*** second encrypted watermark is embedded in the S component of the DCT components of the HH2 *** suggested technique has been tested against various attacks and proven to provide excellent stability and imperceptibility results.

关键词： Watermarking discrete wavelet transform discrete cosine transform singular value decomposition circular encryption chaotic encryption

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Space Division Multiple Access for Cellular V2X Communications

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Computers, Materials & Continua 2022年第10期73卷 1195-1206页

作者： Doaa Sami Khafaga Mohammad Zubair Khan Muhammad Awais Javed amel ali alhus.an Wael Said Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science and Information Taibah University Madinah Saudi Arabia Department of Electrical and Computer Engineering COMSATS University Islamabad45550Pakistan Department of Computer Science Faculty of Computers and InformaticsZagazig UniversityZagazig44511Egypt

Vehicular communication is the backbone of future Intelligent Transportation Systems(ITS).It offers a network-based solution for vehicle safety,cooperative awareness,and traffic management *** safety applications,Basic Safety Messages(BSM)containing mobility information is shared by the vehicles in their neighborhood to continuously monitor other nearby vehicles and prepare a local traffic *** are shared using mode 4 of Cellular V2X(C-V2X)communications in which resources are allocated in an ad hoc ***,the strict packet transmission requirements of BSM and hidden node problem causes packet collisions in a vehicular network,thus reducing the reliability of safety ***,as vehicles choose the transmission resources in a distributed manner in mode 4 of CV2X,the packet collision problem is further *** paper presents a novel solution in the form of a Space Division Multiple Access(SDMA)protocol that intelligently schedules BSM transmissions using vehicle position data to reduce concurrent transmissions from hidden node *** proposed protocol works by dividing road segments into clusters and *** sub-frames are allocated to a cluster and these sub-frames are reused after a certain *** a cluster,sub-channels are allocated to *** implement the proposed SDMA protocol and evaluate its performance in a highway vehicular *** results show that the proposed SDMA protocol outperforms standard Sensing-Based Semi Persistent Scheduling(SB-SPS)in terms of safety range and packet delay.

关键词： ITS vehicular network cellular V2X SDMA

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Optical Neural Networks:Analysis and Prospects for 5G Applications

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Computers, Materials & Continua 2023年第12期77卷 3723-3740页

作者： Doaa Sami Khafaga Zongming Lv Imran Khan Shebnam M.Sefat amel ali alhus.an Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia School of Information and Finance Xuancheng Vocational&Technical CollegeXuancheng242000China Department of Electrical Engineering University of Engineering and TechnologyP.O.Box 814PeshawarPakistan Islamic University Centre for Scientific Research The Islamic UniversityNajafIraq Department of Computer Science Independent UniversityDhaka1208Bangladesh

With the capacities of self-learning,acquainted capacities,high-speed looking for ideal arrangements,solid nonlin-ear fitting,and mapping self-assertively complex nonlinear relations,neural systems have made incredible advances and accomplished broad application over the final *** one of the foremost conspicuous methods for fake insights,neural systems are growing toward high computational speed and moo control *** to the inborn impediments of electronic gadgets,it may be troublesome for electronic-implemented neural systems to make the strides these two exhibitions *** neural systems can combine optoelectronic procedures and neural organization models to provide ways to break the *** paper outlines optical neural networks of feedforward repetitive and spiking models to give a clearer picture of history,wildernesses,and future optical neural *** framework demonstrates neural systems in optic communication with the serial and parallel *** graphene-based laser structure for fiber optic communication is *** comparison of different balance plans for photonic neural systems is made within the setting of hereditary calculation and molecule swarm *** expansion,the execution comparison of routine photonic neural,time-domain with and without extending commotion is additionally *** challenges and future patterns of optical neural systems on the growing scale and applications of in situ preparing nonlinear computing will hence be uncovered.

关键词： Optoelectronics 5G networks free-space optical transducer neural networks

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Design of Photonic Crystal Triplexer with Core-Shell Rod Defects

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Chinese Physics Letters 2015年第5期32卷 63-65页

作者： Labbani amel Benghalia Abdelmadjid Laboratory of Hyperfrequency and Semiconductors(L.H.S.) Department of ElectronicsFaculty of Technology and SciencesUniversity Mentouri Constantine 1

We investigate an optical compact triplexer based on two photonic crystal waveguides and resonant cavities. For performing wavelength selection, we use three core-shell rods as the resonant cavities. The core rods are created by introducing air holes in the center of the silicon rods. By varying the radii of the air holes, three specific wavelengths 1.31, 1.49 and 1.55μm can be obtained. This structure is designed and its performance is verified by the finite-difference time-domain method, which is highly suitable for photonic integrated circuits （PICs）. The average output transmission efficiency and quality factor are more than 98.85% and 560, respectively. The mean value of the crosstalk between output channels is about -36.49 dB. The present device is extremely compact with total size 96.24μm2, which is suitable for PICs and can be utilized in the fiber-to-the-home system.

关键词： length Design of Photonic Crystal Triplexer with Core-Shell Rod Defects

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