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Modelling and Simulation of COVID-19 Outbreak Prediction Using Supervised Machine Learning

computers, Materials & Continua 2021年第3期66卷 2397-2407页

作者： Rachid Zagrouba Muhammad Adnan Khan Atta-ur-Rahman Muhammad Aamer Saleem Muhammad Faheem Mushtaq Abdur Rehman Muhammad Farhan Khan Department of Computer Information System College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science Riphah International UniversityLahore CampusLahore54000Pakistan Hamdard Institute of Engineering and Technology Hamdard UniversityIslamabad44000Pakistan Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan School of Computer Science NCBA&ELahore54000Pakistan Department of Forensic Sciences University of Health SciencesLahore54000Pakistan

Novel Coronavirus-19(COVID-19)is a newer type of coronavirus that has not been formally detected in *** is established that this disease often affects people of different age groups,particularly those with body disorders,blood pressure,diabetes,heart problems,or weakened immune *** epidemic of this infection has recently had a huge impact on people around the globe with rising mortality *** levels of mortality are attributed to their transmitting behavior through physical contact between *** is extremely necessary to monitor the transmission of the infection and also to anticipate the early stages of the disease in such a way that the appropriate timing of effective precautionary measures can be *** latest global coronavirus epidemic(COVID-19)has brought new challenges to the scientific *** Intelligence(AI)-motivated methodologies may be useful in predicting the conditions,consequences,and implications of such an *** forecasts may help to monitor and prevent the spread of these *** article proposes a predictive framework incorporating Support Vector Machines(SVM)in the forecasting of a potential outbreak of *** findings indicate that the suggested system outperforms cutting-edge *** method could be used to predict the long-term spread of such an outbreak so that we can implement proactive measures in *** findings of the analyses indicate that the SVM forecasting framework outperformed the Neural Network methods in terms of accuracy and computational *** proposed SVM system model exhibits 98.88%and 96.79%result in terms of accuracy during training and validation respectively.

关键词： Coronavirus outbreak machine learning artificial intelligence

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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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Increasing the performance of crab linux router simulation package using XEN

Increasing the performance of crab linux router simulation p...

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International Conference on Industrial and information systems

作者： Abbas, Haider Sundkvist, Stefan Department of Computer and System Sciences Royal Institute of Technology Sweden School of Information and Communication Technology Royal Institute of Technology Sweden

ISBN: (纸本)9781424403219

Nowadays hardware components are very expensive, especially if the prime purpose is to perform some routing related lab exercises. Physically connected network resources are required to get the desired results. Configuration of network resources in a lab exercise consumes much time of the students and scientists. The router simulation package Crab(1), based on KnoppW, Quagga' and User Mode Linux (UML) is designed for the students to facilitate them in performing lab exercises on a standalone computer where no real network equipment is needed. In addition to that it provides the facility of connection with the real network equipments. Crab also handles the pre configuration of different parts of the simulated networks like automatic IT addressing etc. This paper will describe the performance enhancing of Crab by replacing User Mode Linux virtual machine with XEN capable of providing ten virtual sessions concurrently using a standalone computer.

关键词： Linux courseware laboratories telecommunication computing telecommunication engineering education telecommunication network routing virtual machines Crab router simulation package XEN automatic IP addressing lab exercise network resource user mode Linux Web resources telecommunication engineering education Linux telecommunication computing computer uses in education telecommunication network routing crabs simulation package education software

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The Relation of department Components and Activity in Spatial information Infrastructure

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Wuhan University Journal of Natural Sciences 2001年第Z1期6卷 460-466页

作者： Yi Shan zhen 1, Zhou Li zhu 1,Cheng Ji cheng 2, Li Qi 2 1.department of computer Science and technology,Tsinghua University, Beijing 100084, China 2.Institute of Remote Sensing and Geographical information system,Peking University,Beijing 1008 Department of Computer Science and Technology Tsinghua University Beijing China Institute of Remote Sensing and Geographical Information System Peking University Beijing China

Spatial information Infrastructure (SII) facilitates the sharing, interoperability and integration of geographical information among department components of a region or a country. The SII is developed and shared by different department components. The relation of department components is a fundament for collaborating tasks and information exchange in SII. There are two kinds of department components, one is the provider which produces geospatial data of SII, other is the consumer which uses geospatial data of SII. The consumer includes two kinds of user, one is the user which only uses and does not produce geospatial data in SII, other is the special user which not only uses but also produces geospatial data in SII. The provider includes different hierarchies corresponding to different kinds of geospatial data in SII. All providers in the hierarchies form provider actor set PA. All consumers also form consumer actor set CA. The sender recipient relation SR and SRI are defined on Cartesian product of PA and CA. Five tasks and information flow in SII demonstrate the geospatial data acquisition, information production, management, and application among department components. The tasks and their sub tasks are subdivided activities. Each activity corresponds to the relation SR or RSI. The activity along with the relation of provider and consumer forms a scheme of geographical information exchange between department components.

关键词： geographical information exchange relation activity information infrastructure

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An Efficient Hybrid PAPR Reduction for 5G NOMA-FBMC Waveforms

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computers, Materials & Continua 2021年第12期69卷 2967-2981页

作者： Arun Kumar Sivabalan Ambigapathy Mehedi Masud Emad Sami Jaha Sumit Chakravarty Kanchan Sengar Department of Electronics and Communication Engineering JECRC UniversityJaipur303905India Center for System Design Chennai Institute of TechnologyIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Electrical and Computer Engineering Kennesaw State UniversityGAUSA

The article introduces Non-Orthogonal Multiple Access(NOMA)and Filter Bank Multicarrier(FBMC),known as hybrid waveform(NOMAFBMC),as two of the most deserving contenders for fifth-generation(5G)*** spectrum access and clampdown of spectrum outflow are unique characteristics of hybrid *** compare the spectral efficiency of Orthogonal Frequency Division Multiplexing(OFDM),FBMC,NOMA,and *** is seen that the hybrid waveform outperforms the existing *** to Average Power Ratio(PAPR)is regarded as a significant issue in multicarrier *** combination of Selective Mapping-Partial Transmit Sequence(SLM-PTS)is an effective way to minimize large peak power *** SLM,PTS,and SLM-PTS procedures are applied to the NOMA-FBMC *** hybrid structure is applied to the existing ***,the correlated factors like Bit Error Rate(BER)and Computational Overhead(CO)are studied and computed for these *** outcome of the work reveals that the NOMA-FBMC waveform coupled with the SLM-PTS algorithm offers superior performance as compared to the prevailing systems.

关键词： 5G NOMA-FBMC SLM-PTS PAPR BER OFDM

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Optimizing one-to-many negotiation agents in e-commerce using aspiration concept

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International Conference on Digital Enterprise and information systems, DEIS 2011

作者： Ebadi, Sahar Sulaiman, Md. Nassir Azmi Morad, Masrah Azrifah Department of Information System Faculty of Computer Science and Information Technology University Putra Malaysia Serdang Malaysia

ISBN: (纸本)9783642226021

With the growth of World Wide Web and increasing human demand on trading, e-commerce becomes an inseparable part of business. In the past decade a huge number of researches have been done in order to develop optimal negotiation agent systems in e-commerce. However, existing models are weak in supporting real world e-market conditions since most of them assume static conditions for environment and complete information about opponent agent's preferences. As a result, this work proposes an adaptive one-to-many negotiation model called Aspiration negotiation model. This model is proposed in order to assist agents to adapt to the dynamicity of opponent agent's preferences and environmental conditions. Proposed model is employed in order to optimize the negotiation outcome in terms of utility gained by agents. Experimental studies have been done to evaluate the performance of proposed model. Finally Aspiration model was able to outperform previous models in terms of seller, buyer and joint utility value. © 2011 Springer-Verlag.

关键词： Genetic algorithms

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A Multiple-Criteria Decision Analysis Clustering and Cluster Head Selection Algorithm in Vehicular Network 8

A Multiple-Criteria Decision Analysis Clustering and Cluster...

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8th IEEE R10 Humanitarian technology Conference, R10-HTC 2020

作者： Nandy, Tarak Idris, Mohd Yamani Idna Bin Noor, Rafidah Md Ahmedy, Ismail Bhattacharyya, Sananda University of Malaya Faculty of Computer Science and Information Technology Department of Computer System and Technology Kuala Lumpur Malaysia Maldives Business School Department of Information Technology Male' Maldives

ISBN: (纸本)9781728111100

Vehicle ad-hoc network (VANET) faces heavy traffic with communication burden to connect with various nodes in the network, uses clustering techniques with neighboring vehicles, and elects a powerful and efficient vehicle as a cluster head. Cluster head vehicle collects all the information and pass them out and transmit outside data to other members in the cluster. However, clustering faces issues such as the inability of choosing feasible and stable clusters for a long time. On the other hand, the nomination of cluster heads fails to adhere to real-world parameters. To address these issues, in this paper, a k-means algorithm and direction vector-based clustering techniques and a cluster head selection method with the utilization of fuzzy-based PROMETHEE multi-criteria decision techniques are proposed. Moreover, mathematical and rational analysis shows that the method is implementable and achievable. Finally, a range of future directions of the study is shown. © 2020 IEEE.

关键词： Vehicles

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Ontology development of metacognitive support system for novice programmers (MSSNP) 1

Ontology development of metacognitive support system for nov...

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1st International Symposium on technology Management and Emerging Technologies, ISTMET 2014

作者： Mohd Rum, Siti Nurulain Ismail, Maizatul Akmar Department of Information System Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9781479937042

Learning and teaching computer programming have been acknowledged as being difficult and challenging. The metacognitive learning environment is needed for learning success in computer Programming problem solving. In designing a support learning tool, the main principal of the instructional approach is to support metacognitive ability. Ontology has gained popularity in building E-learning, in which the formalism of ontology-based description can be achieved, thus giving a specification domain scope and offering an effective reuse of software patterns and systems of patterns. As there is no exact methodology for developing ontologies, here, in this paper, we present an approach for the development of MSSNP Ontology based on the general criteria and issues to be considered. © 2014 IEEE.

关键词： E-learning

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An Enhanced Two-factor Authentication Protocol for V2V Communication in VANETs 20

An Enhanced Two-factor Authentication Protocol for V2V Commu...

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3rd International Conference on information Science and system, ICISS 2020

作者： Nandy, Tarak Idris, Mohd Yamani Idna Bin Noor, Rafidah Md Ahmedy, Ismail Bhattacharyya, Sananda Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Information Technology Maldives Business School Male Maldives

ISBN: (纸本)9781450377256

The objective of the vehicular ad-hoc network (VANET) is to mobilize transportation systems along with the enhancement of safeguard and efficiency. Security and anonymity are important aspects of VANET too. Vehicle-to-vehicle (V2V) communication fulfills most of the requirements in VANET except the security breaches. Authentication protocols are designed to improve security by validating legitimate users in V2V communication. In this research, we proposed a two-factor authentication protocol using user biometric-based and password-based, which can support minimum or no VANET infrastructure environments. Furthermore, we performed an informal security analysis on the aforesaid protocol and shown the security features of it. We further discussed the future scope of the research in the field of VANET authentication. © 2020 ACM.

关键词： Authentication

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Using routing table flag to improve performance of AODV routing protocol for VANETs environment

Using routing table flag to improve performance of AODV rout...

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9th International Conference on Computing and information technology, IC2IT 2013

作者： Keshavarz, Hassan Noor, Rafidah Md. Mostajeran, Ehsan Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur 50603 Malaysia

ISBN: (纸本)9783642373701

With the growth of wireless topology during recent decades, routing protocol in Ad-hoc networks has come to the limelight. Routing is defined as a technique of the best route from the source to the destination. VANETs comprise a special subclass of Mobile Ad Hoc Networks (MANETs). One of the hardships with routing protocols in VANET is related to do with HELLO message which brings about a route. Among the most common solutions is one that utilizes Routing Table Flag for checking the route status. By checking the Routing Table Flag (RTF) each node's condition will be specified. Through considering this mode, various acceptable results regarding packet loss, packet delivery ratio, throughput and number of received packets have been achieved. Experiments using NS-2 to measure the packet loss, throughput, number of receive packets and packet delivery ration for three different scenarios are presented. © 2013 Springer-Verlag.

关键词： Routing protocols

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