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Enhance Intrusion Detection in Computer Networks Based on Deep Extreme Learning Machine

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Computers, Materials & Continua 2021年第1期66卷 467-480页

作者： Muhammad Adnan khan Abdur Rehman khalid masood khan Mohammed A.Al Ghamdi Sultan H.Almotiri Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan School of Computer Science NCBA&ELahore54000Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia

Networks provide a significant function in everyday life,and cybersecurity therefore developed a critical field of *** Intrusion detection system(IDS)becoming an essential information protection strategy that tracks the situation of the software and hardware operating on the *** advancements of growth,current intrusion detection systems also experience difficulties in enhancing detection precision,growing false alarm levels and identifying suspicious *** order to address above mentioned issues,several researchers concentrated on designing intrusion detection systems that rely on machine learning *** learning models will accurately identify the underlying variations among regular information and irregular information with incredible *** intelligence,particularly machine learning methods can be used to develop an intelligent intrusion detection *** in this article in order to achieve this objective,we propose an intrusion detection system focused on a Deep extreme learning machine(DELM)which first establishes the assessment of safety features that lead to their prominence and then constructs an adaptive intrusion detection system focusing on the important *** the moment,we researched the viability of our suggested DELMbased intrusion detection system by conducting dataset assessments and evaluating the performance factors to validate the system *** experimental results illustrate that the suggested framework outclasses traditional *** fact,the suggested framework is not only of interest to scientific research but also of functional importance.

关键词： Intrusion detection system DELM network security machine learning

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

Marker-Based and Marker-Less Motion Capturing Video Data: Person and Activity Identification Comparison Based on Machine Learning Approaches

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Computers, Materials & Continua 2021年第2期66卷 1269-1282页

作者： Syeda Binish Zahra Muhammad Adnan khan Sagheer Abbas khalid masood khan Mohammed A.Al-Ghamdi Sultan H.Almotiri School of Computer Science National College for Business Administration and EconomicsLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54792Pakistan Computer Science Department Umm Al-Qura UniversityMakkah CitySaudi Arabia

Biomechanics is the study of physiological properties of data and the measurement of human *** normal conditions,behavioural properties in stable form are created using various inputs of subconscious/conscious human activities such as speech style,body movements in walking patterns,writing style and voice *** cannot perform any change in these inputs that make results reliable and increase the *** aim of our study is to perform a comparative analysis between the marker-based motion capturing system(MBMCS)and the marker-less motion capturing system(MLMCS)using the lower body joint angles of human gait *** both the MLMCS and MBMCS,we collected trajectories of all the participants and performed joint angle computation to identify a person and recognize an activity(walk and running).Using five state of the art machine learning algorithms,we obtained 44.6%and 64.3%accuracy in person identification using MBMCS and MLMCS respectively with an ensemble algorithm(two angles as features).In the second set of experiments,we used six machine learning algorithms to obtain 65.9%accuracy with the k-nearest neighbor(KNN)algorithm(two angles as features)and 74.6%accuracy with an ensemble ***,by increasing features(6 angles),we obtained higher accuracy of 99.3%in MBMCS for person recognition and 98.1%accuracy in MBMCS for activity recognition using the KNN *** is computationally expensive and if we redesign the model of OpenPose with more body joint points and employ more features,MLMCS(low-cost system)can be an effective approach for video data analysis in a person identification and activity recognition process.

关键词： Marker-based motion capturing system marker-less motion capturing system support vector machine K-nearest neighbor

Analysis of the Smart Player’s Impact on the Success of a Team Empowered with Machine LeAnalysis of the Smart Player’s Impact on the Success of a Team Empowered with Machine Learningarning

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Computers, Materials & Continua 2021年第1期66卷 691-706页

作者： Muhammad Adnan khan Mubashar Habib Shazia Saqib Tahir Alyas khalid masood khan Mohammed A.Al Ghamdi Sultan H.Almotiri Lahore Garrison University Lahore54792Pakistan Computer Science Department Umm Al-Qura UniversityMakkah City715Saudi Arabia

The innovation and development in data science have an impact in all trades of *** commercialization of sport has encouraged players,coaches,and other concerns to use technology to be in better position than r their *** the past,the focus was on improved training techniques for better physical *** days,sports analytics identify the patterns in the performance and highlight strengths and weaknesses of potential *** analytics not only predict the performance of players in the near future but it also performs predictive modeling for a particular behavior of a player in the *** impact of a smart player on the success of a team is always a big question mark before the start of a *** fans always want to know performance analysis of these superstar players and they always are interested to get to know more about their favorite player and they always have high hopes from their favorite *** learning(ML)based techniques help in predicting the performance of an individual player as well as for the whole *** statistics are very vital and useful for management,fans,and expert *** our proposed framework,the adaptive back propagation neural network(ABPNN)model is used for the prediction of a player’s *** data is collected from football websites,and the results are stored in the cloud for fast fetching of *** can be retrieved anywhere in the world through cloud *** results are computed with 94%accuracy and the performance of the smart player is formulated for the success of a team.

关键词： Machine learning adaptive feed forwarded neural network adaptive back propagation neural network cloud computing fetching

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

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

Symmetry solutions of a nonlinear elastic wave equation with third-order anharmonic corrections

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Applied Mathematics and Mechanics(English Edition) 2009年第8期30卷 1017-1026页

作者： M.Tahir Mustafa khalid masood Department of Mathematics and Statistics King Fahd University of Petroleum and MineralsDhahran 31261 Saudi Arabia Department of Mathematics Hafr Al-Batin Community College King Fahd University of Petroleum and MineralsP. O. Box 5087 Dhahran 31261 Saudi Arabia

Lie symmetry method is applied to analyze a nonlinear elastic wave equation for longitudinal deformations with third-order anharmonic corrections to the elastic energy. Symmetry algebra is found and reductions to second-order ordinary differential equations （ODEs） are obtained through invariance under different symmetries. The reduced ODEs are further analyzed to obtain several exact solutions in an explicit form. It was observed in the literature that anharmonic corrections generally lead to solutions with time-dependent singularities in finite times singularities, we also obtain solutions which Along with solutions with time-dependent do not exhibit time-dependent singularities.

关键词： group invariant solutions Lie symmetries nonlinear elasticity equations partial differential equations

Effect of Zn doping on electronic structure and optical properties zincblende GaN(A DFT+U insight)

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Communications in Theoretical Physics 2021年第3期73卷 139-147页

作者： Muhammad Junaid Iqbal khan Zarfishan Kanwal masood Yousaf Hamid Ullah Javed Ahmad Abid Latif Yong-Han Shin Ata Ur Rahman khalid Laboratory of Theoretical and Experimental Physics Department of PhysicsBahauddin Zakariya UniversityMultan(60800)Pakistan Department of Civil Engineering Faculty of Engineering and TechnologyBahauddin Zakariya UniversityMultan60800Pakistan Department of Physics Division of Science and TechnologyUniversity of EducationTownshipLahore54770Pakistan Multiscale Materials Modelling Laboratory Department of PhysicsUniversity of UlsanUlsan44610Republic of Korea

The development of new materials,having exceptional properties in comparison to existing materials is highly required for bringing advancement in electronic and optoelectronic *** this fact,we investigated structural,electronic,and optical properties of zincblende GaN doped with selected Zn concentrations(6.25%,12.50%,and 18.70%),using the first-principle calculations based on density functional theory with GGA+*** conducted the entire study using the WIEN2K *** this study,we calculated various significant parametric quantities such as cohesive energies,formation energies,bulk moduli,and lattice constants along with the study of optical and electronic properties by substituting Ga atoms with Zn atoms in 1×2×2 *** structural stability is confirmed by studying the phonon dispersion curves which suggest that Zn:GaN material is stable against the 6.25%and 18.70%Zn concentrations while for 12.50%,it shows *** Hubbard values U=0,2,4,6 eV were added to GGA and the electronic properties were improved with the U=6 *** absorption was blue shifted while the refractive index and dielectric constant were increased with increasing the Zn *** properties are enhanced due to the prime contribution of cations(Zn)3ri *** optical and electronic properties are further discussed in detail in the entire study.

关键词： density functional theory(DFT) optoelectronics Ⅲ-Ⅴsemiconductors optical properties electronic properties structural properties

Social Distancing and Isolation Management Using Machine-to-Machine Technologies to Prevent Pandemics

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Computers, Materials & Continua 2021年第6期67卷 3545-3562页

作者： Muhammad Saad Maaz Bin Ahmad Muhammad Asif khalid masood Mohammad A.Al Ghamdi College of Computing and Information Sciences PAF KIETKarachiPakistan Department of Computer Science Lahore Garrison UniversityLahorePakistan Department of Computer Science Umm Al-Qura UniversityMakkah CitySaudi Arabia

Social distancing and self-isolation management are crucial preventive measures that can save millions of lives during challenging pandemics of diseases such as the Spanish u,swine u,and coronavirus disease 2019(COVID-19).This study describes the comprehensive and effective implementation of the Industrial Internet of Things and machine-to-machine technologies for social distancing and smart self-isolation *** technologies can help prevent outbreaks of any disease that can disperse widely and develop into a ***,a smart wristband is proposed that incorporates Bluetooth beacon technology to facilitate the tracing and tracking of Bluetooth Low Energy beacon packets for smart contact ***,the connectivity of the device with Android or iOS applications using long-term evolution technology is realized to achieve ***,mathematical formulations are proposed to measure the distance between coordinates in order to detect geo-fencing *** formulations are specically designed for the virtual circular and polygonal boundaries used to restrict suspected or infected persons from trespassing in predetermined areas,e.g.,at home,in a hospital,or in an isolation *** proposed framework outperforms existing solutions,since it is implemented on a wider scale,provides a range of functionalities,and is cost-effective.

关键词： Coronavirus disease 2019 pandemic machine-to-machine industrial internet of things social distance geo-fencing