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Intelligent Software-Defined Network for Cognitive Routing Optimization Using Deep Extreme Learning Machine Approach

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Computers, Materials & Continua 2021年第4期67卷 1269-1285页

作者： Fahd alhaidari sultan H.almotiri Mohammed A.al Ghamdi Muhammad Adnan Khan Abdur Rehman Sagheer Abbas Khalid Masood Khan Atta-ur-Rahman Department of Computer Information System College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science Umm Al-Qura UniversityMakkah City715Saudi Arabia Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan School of Computer Science NCBA&ELahore54000Pakistan Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

In recent years,the infrastructure,instruments,and resources of network systems are becoming more complex and heterogeneous,with the rapid development of current internet and mobile communication *** order to efficaciously prepare,control,hold and optimize networking systems,greater intelligence needs to be ***,due to the inherently dispensed characteristic of conventional networks,Machine Learning(ML)techniques are hard to implement and deployed to govern and operate ***-Defined Networking(SDN)brings us new possibilities to offer intelligence in the ***’s characteristics(e.g.,logically centralized control,global network view,software-based site visitor analysis,and dynamic updating of forwarding rules)make it simpler to apply machine learning *** perspectives of fiber-optic communications including fiber nonlinearity coverage,optical performance checking,cognitive shortcoming detection/anticipation,and arranging and improvement of softwaredefined networks are examined in Machine Learning(ML)*** research paper has presented an imaginative framework concept called Intelligent Software Defined Network(ISDN)for Cognitive Routing Optimization(CRO)using Deep Extreme Learning Machine(DELM)approach(ISDN-CRO-DELM)in light of the new challenges in the development and operation of communication systems,and capturing motivation from how living creatures deal with difficulty and *** proposed methodology develops around the planned applications of progressive DELM methods and,specifically,probabilistic generative models for framework wide learning,demonstrating,improvement,and information ***,ISDN-CRO-DELM,suggest to integrate this learning framework with the ISDN for CRO and reconfiguration approaches at the system *** 2019a is used for DELM simulation and superior results show the effectiveness of the proposed framework.

关键词： SDN DELM machine learning cognition

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Intelligent Decision Support System for COVID-19 Empowered with Deep Learning

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Computers, Materials & Continua 2021年第2期66卷 1719-1732页

作者： Shahan Yamin Siddiqui Sagheer Abbas Muhammad Adnan Khan Iftikhar Naseer Tehreem Masood Khalid Masood Khan Mohammed A.al Ghamdi sultan H.almotiri School of Computer Science NCBA&ELahore54000Pakistan School of Computer Science Minhaj University LahoreLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan Department of Computer Science&Information Technology Superior UniversityLahore54000Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia

The prompt spread of Coronavirus(COVID-19)subsequently adorns a big threat to the people around the *** evolving and the perpetually diagnosis of coronavirus has become a critical challenge for the healthcare *** increase of COVID-19 has rendered the necessity to detect the people who are more likely to get ***,the testing kits for COVID-19 are not available to deal it with required proficiency,along with-it countries have been widely hit by the COVID-19 *** keep in view the need of hour asks for an automatic diagnosis system for early detection of *** would be a feather in the cap if the early diagnosis of COVID-19 could reveal that how it has been affecting the masses *** to the apparent clinical research,it has unleashed that most of the COVID-19 cases are more likely to fall for a lung *** abrupt changes do require a solution so the technology is out there to pace up,Chest X-ray and Computer tomography(CT)scan images could significantly identify the preliminaries of COVID-19 like lungs *** scan and X-ray images could flourish the cause of detecting at an early stage and it has proved to be helpful to radiologists and the medical *** unbearable circumstances compel us to flatten the curve of the sufferers so a need to develop is obvious,a quick and highly responsive automatic system based on Artificial Intelligence(AI)is always there to aid against the masses to be prone to *** proposed Intelligent decision support system for COVID-19 empowered with deep learning(ID2S-COVID19-DL)study suggests Deep learning(DL)based Convolutional neural network(CNN)approaches for effective and accurate detection to the maximum extent it could be,detection of coronavirus is assisted by using X-ray and CT-scan *** primary experimental results here have depicted the maximum accuracy for training and is around 98.11 percent and for validation it comes out to be approxim

关键词： COVID-19 deep learning convolutional neural network CT-scan X-ray decision support system ID2S-COVID19-DL

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Technical Investigation on V2G,S2V,and V2I for Next Generation Smart City Planning

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Journal of Electronic Science and Technology 2019年第4期17卷 300-316页

作者： MD.Shahrukh Adnan Khan Kazi Mahtab Kadir Khandaker sultan Mahmood Md.Ibrahim Ibne alam Ainun Kamal Md.Mamoon al Bashir the School of Science and Engineering Canadian University of BangladeshDhaka 1213 the Electrical and Electronic Engineering Department University of Asia PacificDhaka 1205. the Electrical and Electronic Engineering Department University of Asia PacificDhaka 1205 and also with the Department of Electrical and Electronic EngineeringIslamic University of TechnologyGazipur 1704. the School of Business Canadian University of BangladeshDhaka 1213.

The paper investigates a few of the major areas of the next generation technological advancement,“smart city planning concept”.The areas that the paper focuses are vehicle to grid(V2G),sun to vehicle(S2V),and vehicle to infrastructure(V2I).For the bi-directional crowd energy single entity concept,V2G and building to grid(B2G)are the primary parts of distributed renewable generation(DRG)under smart *** research includes an in-depth overview of this three major ***,the research conducts a case analysis of V2G,S2V,and V2I along with their possible limitations in order to find out the novel solutions for future development both for academia and industry ***,few possible solutions have been proposed to minimize the limitations and to develop the existing system for future expansion.

关键词： Crowd energy distributed renewable smart city sun to vehicle(S2V) vehicle to grid(V2G) vehicle to infrastructure(V2I)

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Exploring the potential application of dental pulp stem cells in neuroregenerative medicine

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Neural Regeneration Research 2022年第4期17卷 775-776页

作者： Nessma sultan Ben A.Scheven Department of Oral Biology Faculty of DentistryMansoura UniversityMansouraEgypt School of Dentistry Oral BiologyCollege of Medical and Dental SciencesUniversity of BirminghamBirminghamUK

The trigeminal nerve and its peripheral branches are susceptible to injury in the dental practice due to surgical removal of impacted third molars and placement of dental *** peripheral trigeminal nerve injuries can undergo spontaneous regeneration,some injuries may be permanent with varying degrees of continued sensory impairment and neuropathic pain ranging from mild numbness to complete anaesthesia(Tay and Zuniga,2007).Adult neurons require continued neurotrophic support from surrounding cells to sustain neural viability,inhibit death-inducing pathways activating a variety of cell survival pathways(Zheng and Quirion,2004).

关键词： injuries continued permanent

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The Protective Effect of Moringa oleifera Leaves Extract on Paracetamol Hepatotoxicity in Male Rats

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Journal of Biomedical Science and Engineering 2024年第3期17卷 72-82页

作者： Reham M. al-sultan Noorah Saleh al-Sowayan Department of Biology College of Science Qassim University Buraydah Saudi Arabia

In recent years, there has been an increase in concern regarding the effects of paracetamol poisoning on liver tissues, particularly when consumed in large amounts. Some studies have estimated that paracetamol is involved in 56% of acute liver diseases, whereas 0.4% of paracetamol overdose cases result in fatal-ity. In this study, the effects of Moringa oleifera on paracetamol toxicity in the liver were explored. It has been demonstrated that Moringa oleifera is highly nu-tritious, contains bioactive molecules, and is therapeutically beneficial. Many studies have shown that Moringa oleifera leaves possess a wide range of biologi-cal properties, including antioxidant, tissue protection, analgesic, antihyperten-sive, and immunomodulatory activities. This study highlights the protective role of Moringa oleifera on handling possible paracetamol hepatotoxicity in male rats. .

关键词： Moringa oleifera Paracetamol Hepatotoxicity Oxidative Stress

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Novel Framework for an Intrusion Detection System Using Multiple Feature Selection Methods Based on Deep Learning

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Tsinghua Science and Technology 2024年第4期29卷 948-958页

作者： A.E.M.Eljialy Mohammed Yousuf Uddin sultan Ahmad Department of Information Systems College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabiaand also with University Center for Research and Development(UCRD)Department of Computer Science and EngineeringChandigarh UniversityPunjabIndia

Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They classify a network’s incoming traffic as benign or anomalous (attack). An efficient and robust IDS in software-defined networks is an inevitable component of network security. The main challenges of such an IDS are achieving zero or extremely low false positive rates and high detection rates. Internet of Things (IoT) networks run by using devices with minimal resources. This situation makes deploying traditional IDSs in IoT networks unfeasible. Machine learning (ML) techniques are extensively applied to build robust IDSs. Many researchers have utilized different ML methods and techniques to address the above challenges. The development of an efficient IDS starts with a good feature selection process to avoid overfitting the ML model. This work proposes a multiple feature selection process followed by classification. In this study, the Software-defined networking (SDN) dataset is used to train and test the proposed model. This model applies multiple feature selection techniques to select high-scoring features from a set of features. Highly relevant features for anomaly detection are selected on the basis of their scores to generate the candidate dataset. Multiple classification algorithms are applied to the candidate dataset to build models. The proposed model exhibits considerable improvement in the detection of attacks with high accuracy and low false positive rates, even with a few features selected.

关键词： random forest feature selection decision tree software-defined network logistic regression intrusion detection system XGB classifier AdaBoost

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Launching of the sultan Qaboos Comprehensive Cancer Care and Research Center(SQCCCRC)in the sultanate of Oman to manage HBP type of cancers

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Hepatobiliary Surgery and Nutrition 2022年第2期11卷 338-339页

作者： Abdallah al Farai Mansour al Moundhri Fabrizio Panaro Department of Surgical Oncology Sultan Qaboos Comprehensive Cancer Care and Research CentreMuscatSultanate of Oman sultan Qaboos Comprehensive Cancer Care and Research Centre MuscatSultanate of Oman Department of Surgery/Division of HBP Surgery and Transplantation St.Eloi HospitalMontpellier University Hospital-School of MedicineMontpellierFrance

In July 2021 a new governmental cancer center,the sultan Qaboos Comprehensive Cancer Care and Research Centre(SQCCCRC)(Figure 1)open its doors to provide excellent,evidenced-based patient-centered care for cancer patients in the sultanate of *** is dedicated to treat cancer patients while building an environment to continuously advance clinical and scientific innovation in the treatment of Cancer.

关键词： Cancer Care cancer

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Spider monkey optimization based resource allocation and scheduling in fog computing environment

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High-Confidence Computing 2023年第3期3卷 81-88页

作者： Shahid sultan Hajam Shabir Ahmad Sofi Department of Information Technology National Institute of Technology SrinagarSrinagar 190006India

Spider monkey optimization(SMO)is a quite popular and recent swarm intelligence algorithm for numerical *** is Fission-Fusion social structure based algorithm inspired by spider monkey’s *** algorithm proves to be very efficient in solving various constrained and unconstrained optimization *** paper presents the application of SMO in fog *** propose a heuristic initialization based spider monkey optimization algorithm for resource allocation and scheduling in a fog computing *** algorithm minimizes the total cost(service time and monetary cost)of tasks by choosing the optimal fog *** job fastest processor(LJFP),shortest job fastest processor(SJFP),and minimum completion time(MCT)based initialization of SMO are proposed and compared with each *** performance is compared based on the parameters of average cost,average service time,average monetary cost,and the average cost per *** results demonstrate the efficacy of MCT-SMO as compared to other heuristic initialization based SMO algorithms and Particle Swarm Optimization(PSO).

关键词： Swarm intelligence Spider monkey optimization Fog computing Task scheduling

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Smart Contract:Security and Privacy

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Computer Systems Science & Engineering 2021年第7期38卷 93-101页

作者： Leena S.alotaibi sultan S.alshamrani Department of Information Technology College of Computer and Information TechnologyTaif UniversityP.O.Box 11099TaifSaudi Arabia

Smart contracts are simply self-activated contracts between two *** idea behind their implementation relies on the concept of blockchain,wherein the details and execution of the contract are turned into code and distributed among users of a *** process controls counterfeiting and money laundering by its ability to trace who owes *** also boosts the general *** research paper shows how smart contracts in modern-day systems have changed the approach to money *** present case studies about the uses of smart contracts with high levels of security and *** a building block of smart contracts,a brief description of blockchain is provided in an *** other cryptography methods and techniques,the usage of hashing and hash functions in blockchain security are also *** also explore the real-time applications of blockchain and smart contract techniques in real *** main advantage of this research paper is that it discusses a state-of-the-art subject,as most of the articles referenced in this paper are from 2018 and onward.

关键词： Blockchain cryptography smart contract security

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Forecast the Influenza Pandemic Using Machine Learning

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Computers, Materials & Continua 2021年第1期66卷 331-340页

作者： Muhammad Adnan Khan Wajhe Ul Husnain Abidi Mohammed A.al Ghamdi sultan H.almotiri Shazia Saqib Tahir alyas Khalid Masood Khan Nasir Mahmood Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan Systems Limited Lahore54792Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia Department of Computer Science University of Engineering and TechnologyLahore54000Pakistan

Forecasting future outbreaks can help in minimizing their *** is a disease primarily found in animals but transferred to humans through *** 1918,influenza became a pandemic and spread rapidly all over the world becoming the cause behind killing one-third of the human population and killing one-fourth of the pig ***,that influenza became a pandemic several times on a local and global *** 2009,influenza‘A’subtype H1N1 again took many human *** disease spread like in a pandemic *** paper proposes a forecasting modeling system for the influenza pandemic using a feed-forward propagation neural network(MSDII-FFNN).This model helps us predict the outbreak,and determines which type of influenza becomes a pandemic,as well as which geographical area is *** collection for the model is done by using IoT *** model is divided into 2 phases:The training phase and the validation phase,both being connected through the *** the training phase,the model is trained using FFNN and is updated on the *** the validation phase,whenever the input is submitted through the IoT devices,the system model is updated through the cloud and predicts the pandemic *** our dataset,the data is divided into an 85%training ratio and a 15%validation *** applying the proposed model to our dataset,the predicted output precision is 90%.

关键词： Influenza pandemic machine learning prediction influenza influenza pandemic prediction forecast pandemic influenza

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