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  • Open Access

    ARTICLE

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

    Rachid Zagrouba1, Muhammad Adnan Khan2,*, Atta-ur-Rahman1, Muhammad Aamer Saleem3, Muhammad Faheem Mushtaq4, Abdur Rehman5, Muhammad Farhan Khan6

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2397-2407, 2021, DOI:10.32604/cmc.2021.014042

    Abstract Novel Coronavirus-19 (COVID-19) is a newer type of coronavirus that has not been formally detected in humans. It 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 systems. The epidemic of this infection has recently had a huge impact on people around the globe with rising mortality rates. Rising levels of mortality are attributed to their transmitting behavior through physical contact between humans. It is extremely necessary to monitor the transmission of the infection and also to anticipate the… More >

  • Open Access

    ARTICLE

    An Efficient False-Positive Reduction System for Cerebral Microbleeds Detection

    Sitara Afzal1, Muazzam Maqsood1,*, Irfan Mehmood2, Muhammad Tabish Niaz3, Sanghyun Seo4

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2301-2315, 2021, DOI:10.32604/cmc.2021.013966

    Abstract Cerebral Microbleeds (CMBs) are microhemorrhages caused by certain abnormalities of brain vessels. CMBs can be found in people with Traumatic Brain Injury (TBI), Alzheimer’s disease, and in old individuals having a brain injury. Current research reveals that CMBs can be highly dangerous for individuals having dementia and stroke. The CMBs seriously impact individuals’ life which makes it crucial to recognize the CMBs in its initial phase to stop deterioration and to assist individuals to have a normal life. The existing work report good results but often ignores false-positive’s perspective for this research area. In this… More >

  • Open Access

    ARTICLE

    An Improved Dictionary Cracking Scheme Based on Multiple GPUs for Wi-Fi Network

    Majdi K. Qabalin1, Zaid A. Arida2, Omar A. Saraereh3, Falin Wu4,*, Imran Khan5, Peerapong Uthansakul6, Moath Alsafasfeh7

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2957-2972, 2021, DOI:10.32604/cmc.2021.013951

    Abstract The Internet has penetrated all aspects of human society and has promoted social progress. Cyber-crimes in many forms are commonplace and are dangerous to society and national security. Cybersecurity has become a major concern for citizens and governments. The Internet functions and software applications play a vital role in cybersecurity research and practice. Most of the cyber-attacks are based on exploits in system or application software. It is of utmost urgency to investigate software security problems. The demand for Wi-Fi applications is proliferating but the security problem is growing, requiring an optimal solution from researchers.… More >

  • Open Access

    ARTICLE

    Quintuple Band Antenna for Wireless Applications with Small Form Factor

    Amir Haider1, Tayyaba Khan2, MuhibUr Rahman3, Byung Moo Lee1, Hyung Seok Kim1,*

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2241-2251, 2021, DOI:10.32604/cmc.2021.013908

    Abstract A coplanar waveguide-fed quintuple band antenna with a slotted circular-shaped radiator for wireless applications with a high isolation between adjacent bands is presented in this paper. The proposed antenna resonates at multiple frequencies with corresponding center frequencies of 2.35, 4.92, 5.75, 6.52, and 8.46 GHz. The intended functionality is achieved by introducing a circular disc radiator with five slots and a U-shaped slot in the feed. The proposed antenna exhibits coverage of the maximum set of wireless applications, such as satellite communication, worldwide interoperability for microwave access, wireless local area network (WLAN), long-distance radio telecommunications,… More >

  • Open Access

    ARTICLE

    Robust Attack Detection Approach for IIoT Using Ensemble Classifier

    V. Priya1, I. Sumaiya Thaseen1, Thippa Reddy Gadekallu1, Mohamed K. Aboudaif2,*, Emad Abouel Nasr3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2457-2470, 2021, DOI:10.32604/cmc.2021.013852

    Abstract Generally, the risks associated with malicious threats are increasing for the Internet of Things (IoT) and its related applications due to dependency on the Internet and the minimal resource availability of IoT devices. Thus, anomaly-based intrusion detection models for IoT networks are vital. Distinct detection methodologies need to be developed for the Industrial Internet of Things (IIoT) network as threat detection is a significant expectation of stakeholders. Machine learning approaches are considered to be evolving techniques that learn with experience, and such approaches have resulted in superior performance in various applications, such as pattern recognition,… More >

  • Open Access

    ARTICLE

    Entanglement and Entropy Squeezing for Moving Two Two-Level Atoms Interaction with a Radiation Field

    S. Abdel-Khalek1,2,*, E. M. Khalil1,3, Beida Alsubei1, A. Al-Barakaty4, S. M. Abo Dahab5

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2445-2456, 2021, DOI:10.32604/cmc.2021.013830

    Abstract In this paper, we analyzed squeezing in the information entropy, quantum state fidelity, and qubit-qubit entanglement in a time-dependent system. The proposed model consists of two qubits that interact with a two-mode electromagnetic field under the dissipation effect. An analytical solution is calculated by considering the constants for the equations of motion. The effect of the general form of the time-dependent for qubit-field coupling and the dissipation term on the temporal behavior of the qubit-qubit entanglement, quantum state fidelity, entropy, and variance squeezing are examined. It is shown that the intervals of entanglement caused more… More >

  • Open Access

    ARTICLE

    Extension of Direct Citation Model Using In-Text Citations

    Abdul Shahid1,*, Muhammad Tanvir Afzal2, Muhammad Qaiser Saleem3, M. S. Elsayed Idrees3, Majzoob K. Omer3

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3121-3138, 2021, DOI:10.32604/cmc.2021.013809

    Abstract Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models: (1) Bibliographic Coupling, (2) Co-Citation, and (3) Direct Citations. Millions of new scholarly articles are published every year. This flux of scientific information has made it a challenging task to devise techniques that could help researchers to find the most relevant research papers for the paper at hand. In this study, we have deployed an in-text citation analysis that extends the Direct Citation Model to discover the nature of the relationship degree-of-relevancy among scientific papers. For this purpose,… More >

  • Open Access

    ARTICLE

    An Advanced Analysis of Cloud Computing Concepts Based on the Computer Science Ontology

    Paweł Lula1, Octavian Dospinescu2,*, Daniel Homocianu2, Napoleon-Alexandru Sireteanu2

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2425-2443, 2021, DOI:10.32604/cmc.2021.013771

    Abstract Our primary research hypothesis stands on a simple idea: The evolution of top-rated publications on a particular theme depends heavily on the progress and maturity of related topics. And this even when there are no clear relations or some concepts appear to cease to exist and leave place for newer ones starting many years ago. We implemented our model based on Computer Science Ontology (CSO) and analyzed 44 years of publications. Then we derived the most important concepts related to Cloud Computing (CC) from the scientific collection offered by Clarivate Analytics. Our methodology includes data More >

  • Open Access

    ARTICLE

    Recognition of Offline Handwritten Arabic Words Using a Few Structural Features

    Abderrahmane Saidi*, Abdelmouneim Moulay Lakhdar, Mohammed Beladgham

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2875-2889, 2021, DOI:10.32604/cmc.2021.013744

    Abstract Handwriting recognition is one of the most significant problems in pattern recognition, many studies have been proposed to improve this recognition of handwritten text for different languages. Yet, Fewer studies have been done for the Arabic language and the processing of its texts remains a particularly distinctive problem due to the variability of writing styles and the nature of Arabic scripts compared to other scripts. The present paper suggests a feature extraction technique for offline Arabic handwriting recognition. A handwriting recognition system for Arabic words using a few important structural features and based on a… More >

  • Open Access

    ARTICLE

    Fuzzy Based Adaptive Deblocking Filters at Low-Bitrate HEVC Videos for Communication Networks

    Anudeep Gandam1,*, Jagroop Singh Sidhu2

    CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 3045-3063, 2021, DOI:10.32604/cmc.2021.013663

    Abstract In-loop filtering significantly helps detect and remove blocking artifacts across block boundaries in low bitrate coded High Efficiency Video Coding (HEVC) frames and improves its subjective visual quality in multimedia services over communication networks. However, on faster processing of the complex videos at a low bitrate, some visible artifacts considerably degrade the picture quality. In this paper, we proposed a four-step fuzzy based adaptive deblocking filter selection technique. The proposed method removes the quantization noise, blocking artifacts and corner outliers efficiently for HEVC coded videos even at low bit-rate. We have considered Y (luma), U… More >

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