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Blockchain and Artificial Intelligence Applications to Defeat COVID-19 Pandemic

Computer Systems Science & Engineering 2022年第2期40卷 691-702页

作者： mohammed baz Sabita Khatri Abdullah baz Hosam Alhakami Alka Agrawal Raees Ahmad Khan Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Engineering College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia

The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020,provide critical research criteria to assess the vulnerabilities of our current health *** paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness,about public health and healthcare *** view of this unprecedented health crisis,distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages,and with the higher *** the implementation level,blockchain integration,early detection and avoidance of an outbreak,identity protection and safety,and a secure drug supply chain can be *** the opposite end of the continuum,artificial intelligence methods are used to detect corona effects until they become too serious,avoiding costly drug *** paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic *** paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational *** paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system.

关键词： Artificial intelligence information privacy machine learning coronavirus(COVID-19) SARS-CoV-2 epidemic

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Curvelet Transform Based on Edge Preserving Filter for Retinal Blood Vessel Segmentation

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Computers, Materials & Continua 2022年第5期71卷 2459-2476页

作者： Sonali Dash Sahil Verma Kavita N.Z.Jhanjhi Mehedi Masud mohammed baz Department of Electronics and Communication Engineering Raghu Institute of Technology(A)Visakhapatnam531162India Department of Computer Science and Engineering Chandigarh UniversityMohali140413India School of Computer Science and Engineering SCETaylor’s UniversitySubang Jaya Malaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21994Saudi Arabia

Segmentation of vessel in retinal fundus images is a primary step for the clinical identification for specific eye *** diagnosis of vascular pathologies from angiographic images is thus a vital aspect and generally depends on segmentation of vascular *** various approaches for retinal vessel segmentation are extensively utilized,however,the responses are lower at vessel’s *** curvelet transform signifies edges better than wavelets,and hence convenient for multiscale edge *** bilateral filter is a nonlinear filter that is capable of providing effective smoothing while preserving strong *** bilateral filter is an advanced version of bilateral filter that regulates the contrast while preserving the ***,in this paper a fusion algorithm is recommended by fusing fast bilateral filter that can effectively preserve the edge details and curvelet transform that has better capability to detect the edge direction feature and better investigation and tracking of significant characteristics of the *** C mean thresholding is used for the extraction of *** recommended fusion approach is assessed on DRIVE *** results illustrate that the fusion algorithm preserved the advantages of the both and provides better *** results demonstrate that the recommended method outperforms the traditional approaches.

关键词： Blood vessel extraction curvelet transform fast bilateral filter C mean thresholding

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Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM

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Computers, Materials & Continua 2022年第7期72卷 739-753页

作者： Khalid A.AlAfandy Hicham Omara Hala S.El-Sayed mohammed baz Mohamed Lazaar Osama S.Faragallah mohammed Al Achhab ENSA Abdelmalek Essaadi UniversityTetouan 93002Morocco FS Abdelmalek Essaadi UniversityTetouan 93002Morocco Department of Electrical Engineering Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia ENSIAS Mohammed V University in Rabat 10000Morocco Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia

Remote sensing image processing engaged researchers’attentiveness in recent years,especially *** main problem in classification is the ratio of the correct predictions after *** extraction is the foremost important step to build high-performance image *** convolution neural networks can extract images’features that significantly improve the image classifiers’*** paper proposes two efficient approaches for remote sensing images classification that utilizes the concatenation of two convolution channels’outputs as a features extraction using two classic convolution models;these convolution models are the ResNet 50 and the DenseNet *** elicited features have been used by the fully connected neural network classifier and support vector machine classifier as input *** results of the proposed methods are compared with other antecedent approaches in the same experimental *** is based on learning curves plotted during the training of the proposed classifier that is based on a fully connected neural network and measuring the overall accuracy for the both proposed *** proposed classifiers are used with their trained weights to predict a big remote sensing scene’s classes for a developed *** results ensure that,compared with the other traditional classifiers,the proposed classifiers are further accurate.

关键词： Remote sensing images deep learning ResNet DenseNet SVM

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Energy Efficient Unequal Fault Tolerance Clustering Approach

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Computer Systems Science & Engineering 2023年第5期45卷 1971-1983页

作者： Sowjanya Ramisetty Divya Anand Kavita Sahil Verma NZ Jhanjhi Mehedi Masud mohammed baz Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadIndia School of Computer Science and Engineering Lovely Professional UniversityPhagwaraIndia Department of Computer Science and Engineering Chandigarh UniversityMohaliIndia Department of Computer Science and Engineering Tailor’s UniversityMalaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21994Saudi Arabia

For achieving Energy-Efficiency in wireless sensor networks(WSNs),different schemes have been proposed which focuses only on reducing the energy consumption.A shortest path determines for the Base Station(BS),but fault tolerance and energy balancing gives equal importance for improving the network *** saving energy in WSNs,clustering is considered as one of the effective methods for Wireless Sensor *** of the excessive overload,more energy consumed by cluster heads(CHs)in a cluster based WSN to receive and aggregate the information from member sensor nodes and it leads to *** increasing the WSNs’lifetime,the CHs selection has played a key role in energy consumption for sensor *** Energy Efficient Unequal Fault Tolerant Clustering Approach(EEUFTC)is proposed for reducing the energy utilization through the intelligent methods like Particle Swarm Optimization(PSO).In this approach,an optimal Master Cluster Head(MCH)-Master data Aggregator(MDA),selection method is proposed which uses the fitness values and they evaluate based on the PSO for two optimal nodes in each cluster to act as Master Data Aggregator(MDA),and Master Cluster *** data from the cluster members collected by the chosen MCH exclusively and the MDA is used for collected data reception from MCH transmits to the ***,the MCH overhead *** the heavy communication of data,overhead controls using the scheduling of Energy-Efficient Time Division Multiple Access(EE-TDMA).To describe the proposed method superiority based on various performance metrics,simulation and results are compared to the existing methods.

关键词： Energy-efficiency unequal fault tolerant clustering approach particle swarm optimization master data aggregator energy efficient time division multiple access optimal nodes

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Optimization of Cognitive Radio System Using Self-Learning Salp Swarm Algorithm

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Computers, Materials & Continua 2022年第2期70卷 3821-3835页

作者： Nitin Mittal Harbinder Singh Vikas Mittal Shubham Mahajan Amit Kant Pandit Mehedi Masud mohammed baz Mohamed Abouhawwash Department of Electronics&Communication Engineering Chandigarh UniversityMohali140413India School of VLSI Design and Embedded Systems National Institute of TechnologyKurukshetra136119India School of Electronics&Communication Engineering Shri Mata Vaishno Devi UniversityKatra182320India Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21994Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

CognitiveRadio(CR)has been developed as an enabling technology that allows the unused or underused spectrum to be used dynamically to increase spectral *** improve the overall performance of the CR systemit is extremely important to adapt or reconfigure the *** Decision Engine is a major module in the CR-based system that not only includes radio monitoring and cognition functions but also responsible for parameter *** meta-heuristic algorithms offer numerous advantages compared to traditional mathematical approaches,the performance of these algorithms is investigated in order to design an efficient CR system that is able to adapt the transmitting parameters to effectively reduce power consumption,bit error rate and adjacent interference of the channel,while maximized secondary user ***-Learning Salp Swarm Algorithm(SLSSA)is a recent meta-heuristic algorithm that is the enhanced version of SSA inspired by the swarming behavior of *** this work,the parametric adaption of CR system is performed by SLSSA and the simulation results show that SLSSA has high accuracy,stability and outperforms other competitive algorithms formaximizing the throughput of secondary *** results obtained with SLSSA are also shown to be extremely satisfactory and need fewer iterations to converge compared to the competitive methods.

关键词： Cognitive radio meta-heuristic algorithm cognitive decision engine salp swarm algorithm

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Coverless Image Steganography System Based on Maze Game Generation

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Intelligent Automation & Soft Computing 2023年第11期38卷 125-138页

作者： Al Hussien Seddik Saad mohammed S.Reda GamalM.Behery Ahmed A.El-harby mohammed baz Mohamed Abouhawwash Ahmed Ismail Ebada Department of computer science Faculty of ScienceMinia UniversityShalabyMiniaEgypt Department of computer science Faculty of Computers and Artificial IntelligenceDamietta UniversityNew DamiettaDamiettaEgypt Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityP.O.Box 11099Taif21994Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)College of EngineeringMichigan State UniversityEast LansingMI48824USA Department of Information Systems Faculty of Computers and Artificial IntelligenceDamietta UniversityNew DamiettaDamiettaEgypt

The trend of digital information transformation has become a topic of *** data are threatening;thus,protecting such data from attackers is considered an essential ***,a new methodology for data concealing has been suggested by researchers called coverless *** steganography can be accomplished either by building an image database to match its image subblocks with the secret message to obtain the stego image or by generating an *** paper proposes a coverless image steganography system based on pure image generation using secret message bits with a capacity higher than the other traditional *** system uses the secret message to generate the stego image in the form of one of the Intelligence Quotient(IQ)games,the ***,a full grid is generated with several specific rows and columns determined from the number of bits of the secret ***,these bits are fed to the full grid to form the maze game stego ***,the generated maze game stego image is sent to the *** experimental results,using the Bit Error Rate(BER),were conducted,and confirmed the strength of this system represented by a high capacity,perfect performance,robustness,and stronger hiding system compared with existing coverless steganography systems.

关键词： Coverless data hiding digital image steganography intelligence quotient games maze game

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Predicted Functional Shifts Due to Type of Soil Microbiome and Watering of Two Wild Plants in Western Region of Saudi Arabia

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Phyton-International Journal of Experimental Botany 2022年第10期91卷 2249-2268页

作者： Lina baz Aala A.Abulfaraj Manal A.Tashkandi Hanadi M.Baeissa mohammed Y.Refai Aminah A.Barqawi Ashwag Shami Haneen W.Abuauf Ruba A.Ashy Rewaa S.Jalal Department of Biochemistry Faculty of ScienceKing AbdulAziz UniversityJeddah21589Saudi Arabia Biological Sciences Department College of Science&ArtsKing Abdulaziz UniversityRabigh21911Saudi Arabia Department of Biochemistry College of ScienceUniversity of JeddahJeddahSaudi Arabia Department of Chemistry Al-Leith University College Umm Al Qura UniversityMakkahSaudi Arabia Department of Biology College of SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Biology Faculty of Applied ScienceUmm Al-Qura UniversityMakkahSaudi Arabia Department of Biology College of ScienceUniversity of JeddahJeddahSaudi Arabia

The present study aimed to predict differential enrichment of pathways and compounds in the rhizosphere microbiomes of the two wild plants(Abutilon fruticosum and Nitrosalsola vermiculata)and to predict functional shifts in microbiomes due to *** sequencing of 16S rRNA region V3–V4 was done and gene-based microbial compositions were enrolled in PICRUSt to predict enriched pathways and *** results indicated that“ABC transporters”and“Quorum sensing”pathways are among the highest enriched pathways in rhizosphere microbiomes of the two wild plants compared with those of the bulk soil *** highest enriched compounds in soil microbiomes of the two wild plants included five proteins and three enzymes participating in one or more KEGG *** of these eight compounds showed higher predicted enrichment in rhizosphere soil microbiomes,while only one,namely phosphate transport system substrate-binding protein,showed higher enrichment in the surrounding bulk soil *** terms of differentially enriched compounds due to watering,only the dual-specific aspartyl-tRNA(Asn)/glutamyl-tRNA(Gln)amidotransferase subunit A showed higher enrichment in rhizosphere soil of the two wild plants after 24 h of *** of the highly enriched compounds namely branched-chain amino acid transport system ATP-binding protein and branched-chain amino acid transport system substrate-binding protein,are encoded by genes stimulated by the plant’s GABA that participates in conferring biotic and abiotic stresses in plants and improves the plant’s growth *** 3-Oxoacyl-[ACP]reductase,a member of the short-chain alcohol dehydrogenase/reductase(SDR)superfamily,participates in fatty acids elongation cycles and contributes to plant-microbe symbiotic relationships,while enoyl-CoA hydratase has a reverse action as it participates in“Fatty acid degradation”*** methyl-accepting chemotaxis protein is an environmental signal that sense“Bacteri

关键词： Amplicon sequencing PICRUSt KEGG GABA symbionts wild plants

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The Alternative Therapeutic in Pediatric Cancer: What We Know?

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Open Journal of Pediatrics 2023年第3期13卷 368-378页

作者： Kaoutar Danaoui Meriem El baz Jamila El Houdzi University Hospital mohammed VI Marrakesh Morocco

Scientific research has brought about enormous national advancements in cancer management. Currently, Morocco provides several therapeutic tools for cancer, among them chemotherapy, surgery and radiotherapy. In Morocco, there is not enough published data on the use of alternative medicine in pediatric oncology. Owing to the increased interest and lack of data on this practice, we conducted this study. It aims to evaluate the uptake, the types of therapies used, the factors influencing, the reasons for this choice and the cost of AM used by patients. An investigation through a questionnaire was carried out on thirty-four children following for cancer within the pediatric hematology and oncology department (PHO) of Marrakech. The survey was conducted over a period of one month and a half between July 25 and September 5, 2022. Data were collected through a questionnaire. From the medical files, we collected data regarding type of cancer, date of admission to PHO department and the treatment received. We asked about the type of AM used: herbs, honey, spiritual AM, zamzam water (water from a “sacred” source in Mecca). Using alternative therapies is a common practice in pediatric oncology with various reasons, among them, the declining socioeconomic level, the diversity, the cultural background, the psychological and the functional status of patients and sometimes the dissatisfaction with conventional medicine.

关键词： Alternative Therapeutic Cancer Chronic Disease Treatment Morocco Herbs Medicines Pediatric Chemotherapy

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Generation of Different Classes of Multipartite Entanglement Using Cavity-QED

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Communications in Theoretical Physics 2018年第2期69卷 131-136页

作者： Mustapha Ziane Rachid El Guerbouz Fatima-Zahra Siyouri Morad El baz Equipe Sciences de la Matière et du Rayonnement Département de Physique Faculté des sciences Université Mohammed V Av.Ibn Battouta

Using a system of cavity quantum electrodynamics(QED) we present two schemes for multipartite entanglement generation. In the first scheme, a three-level atom is interacting with three cavities successively. In the second one, two three-level atoms are interacted with a coherent optical cavity. These protocols allow us to generate the six classes of tripartite entanglement(GHZ, W, A-B-C, AB-C, C-AB, and B-AC class states) by controling the interaction time between atoms and cavities. Moreover, they allow us to generate entanglement between the cavity fields degrees of freedom(from the first scheme), and a mixed entanglement between the cavity field degrees of freedom and the atomic degrees of freedom.

关键词：纠纷相互作用时间出租汽车原子自由交往水

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Dynamics of Super Quantum Correlations and Quantum Correlations for a System of Three Qubits

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Communications in Theoretical Physics 2016年第4期65卷 447-452页

作者： F.Siyouri M.El baz S.Rfifi Y.Hassouni Laboratoire de Physique Theorique Departement de Physique Faculte des sciences Universite Mohammed V - AgdalAv. Ibn Battouta B.P. 1014 Agdal Rabat Morocco

The dynamics of quantum discord for two qubits independently interacting with dephasing reservoirs have been studied *** authors [***.A 88(2013) 034304] found that for some Bell-diagonal states(BDS)which interact with their environments the calculation of quantum discord could experience a sudden transition in its dynamics,this phenomenon is known as the sudden *** in the present paper,we analyze the dynamics of normal quantum discord and super quantum discord for tripartite Bell-diagonal states independently interacting with dephasing ***,we find that basis change does not necessary mean sudden change of quantum correlations.

关键词：关联动力学量子关联系统比特相互作用量子退相干量子位 BDS

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