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  • Open Access

    REVIEW

    An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces

    Sheetal Sharma1,2, Kamali Gupta1, Deepali Gupta1, Shalli Rani1,*, Gaurav Dhiman3,4,5,6,7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2029-2059, 2024, DOI:10.32604/cmes.2023.029997

    Abstract The widespread adoption of the Internet of Things (IoT) has transformed various sectors globally, making them more intelligent and connected. However, this advancement comes with challenges related to the effectiveness of IoT devices. These devices, present in offices, homes, industries, and more, need constant monitoring to ensure their proper functionality. The success of smart systems relies on their seamless operation and ability to handle faults. Sensors, crucial components of these systems, gather data and contribute to their functionality. Therefore, sensor faults can compromise the system’s reliability and undermine the trustworthiness of smart environments. To address these concerns, various techniques and… More > Graphic Abstract

    An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces

  • Open Access

    REVIEW

    A Survey on Sensor- and Communication-Based Issues of Autonomous UAVs

    Pavlo Mykytyn1,2,*, Marcin Brzozowski1, Zoya Dyka1,2, Peter Langendoerfer1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1019-1050, 2024, DOI:10.32604/cmes.2023.029075

    Abstract The application field for Unmanned Aerial Vehicle (UAV) technology and its adoption rate have been increasing steadily in the past years. Decreasing cost of commercial drones has enabled their use at a scale broader than ever before. However, increasing the complexity of UAVs and decreasing the cost, both contribute to a lack of implemented security measures and raise new security and safety concerns. For instance, the issue of implausible or tampered UAV sensor measurements is barely addressed in the current research literature and thus, requires more attention from the research community. The goal of this survey is to extensively review… More >

  • Open Access

    REVIEW

    Survey on Deep Learning Approaches for Detection of Email Security Threat

    Mozamel M. Saeed1,*, Zaher Al Aghbari2

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 325-348, 2023, DOI:10.32604/cmc.2023.036894

    Abstract Emailing is among the cheapest and most easily accessible platforms, and covers every idea of the present century like banking, personal login database, academic information, invitation, marketing, advertisement, social engineering, model creation on cyber-based technologies, etc. The uncontrolled development and easy access to the internet are the reasons for the increased insecurity in email communication. Therefore, this review paper aims to investigate deep learning approaches for detecting the threats associated with e-mail security. This study compiles the literature related to the deep learning methodologies, which are applicable for providing safety in the field of cyber security of email in different… More >

  • Open Access

    REVIEW

    A Survey on the Role of Complex Networks in IoT and Brain Communication

    Vijey Thayananthan1, Aiiad Albeshri2, Hassan A. Alamri3, Muhammad Bilal Qureshi4, Muhammad Shuaib Qureshi5,*

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2573-2595, 2023, DOI:10.32604/cmc.2023.040184

    Abstract Complex networks on the Internet of Things (IoT) and brain communication are the main focus of this paper. The benefits of complex networks may be applicable in the future research directions of 6G, photonic, IoT, brain, etc., communication technologies. Heavy data traffic, huge capacity, minimal level of dynamic latency, etc. are some of the future requirements in 5G+ and 6G communication systems. In emerging communication, technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain communication. In this paper, the state of the complex system considered as a… More >

  • Open Access

    REVIEW

    Blockchain-Enabled Cybersecurity Provision for Scalable Heterogeneous Network: A Comprehensive Survey

    Md. Shohidul Islam1,*, Md. Arafatur Rahman2, Mohamed Ariff Bin Ameedeen1, Husnul Ajra1, Zahian Binti Ismail1, Jasni Mohamad Zain3

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 43-123, 2024, DOI:10.32604/cmes.2023.028687

    Abstract Blockchain-enabled cybersecurity system to ensure and strengthen decentralized digital transaction is gradually gaining popularity in the digital era for various areas like finance, transportation, healthcare, education, and supply chain management. Blockchain interactions in the heterogeneous network have fascinated more attention due to the authentication of their digital application exchanges. However, the exponential development of storage space capabilities across the blockchain-based heterogeneous network has become an important issue in preventing blockchain distribution and the extension of blockchain nodes. There is the biggest challenge of data integrity and scalability, including significant computing complexity and inapplicable latency on regional network diversity, operating system… More > Graphic Abstract

    Blockchain-Enabled Cybersecurity Provision for Scalable Heterogeneous Network: A Comprehensive Survey

  • Open Access

    REVIEW

    Comprehensive Survey of the Landscape of Digital Twin Technologies and Their Diverse Applications

    Haiyu Chen1, Haijian Shao1,2,*, Xing Deng1, Lijuan Wang1, Xia Wang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 125-165, 2024, DOI:10.32604/cmes.2023.027834

    Abstract The concept of the digital twin, also known colloquially as the DT, is a fundamental principle within Industry 4.0 framework. In recent years, the concept of digital siblings has generated considerable academic and practical interest. However, academia and industry have used a variety of interpretations, and the scientific literature lacks a unified and consistent definition of this term. The purpose of this study is to systematically examine the definitional landscape of the digital twin concept as outlined in scholarly literature, beginning with its origins in the aerospace domain and extending to its contemporary interpretations in the manufacturing industry. Notably, this… More >

  • Open Access

    ARTICLE

    A Survey on Deep Learning-Based 2D Human Pose Estimation Models

    Sani Salisu1,2, A. S. A. Mohamed1,*, M. H. Jaafar3, Ainun S. B. Pauzi1, Hussain A. Younis1,4

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2385-2400, 2023, DOI:10.32604/cmc.2023.035904

    Abstract In this article, a comprehensive survey of deep learning-based (DL-based) human pose estimation (HPE) that can help researchers in the domain of computer vision is presented. HPE is among the fastest-growing research domains of computer vision and is used in solving several problems for human endeavours. After the detailed introduction, three different human body modes followed by the main stages of HPE and two pipelines of two-dimensional (2D) HPE are presented. The details of the four components of HPE are also presented. The keypoints output format of two popular 2D HPE datasets and the most cited DL-based HPE articles from… More >

  • Open Access

    ARTICLE

    The whole-genome survey of Acer griseum, its polymorphic simple sequence repeats development and application

    XIAO-JUN ZHOU1,*, YU-WEI TIAN1, RUI-HAN LI2

    BIOCELL, Vol.47, No.8, pp. 1907-1913, 2023, DOI:10.32604/biocell.2023.030191

    Abstract Background: Acer griseum Pax is an endangered species endemic to China with both ornamental and economic value. However, the lack of information on its genome size and characteristics hinders further work at the genome level. Methods: This paper applied bioinformatics methods to predict the characteristics and patterns of the A. griseum genome, providing an important basis for formulating its whole-genome sequencing scheme. This study also characterized the simple sequence repeats (SSRs) of A. griseum, laying the foundation for the development and application of genome-wide SSR markers. In this study, PE150 sequencing was performed by the BGI MGISEQ platform, and the… More >

  • Open Access

    ARTICLE

    Medical Students’ Views on Psychiatry in Germany and Italy: Survey

    Andy Man Yeung Tai1,*, Janet Suen2, Mostafa Mamdouh Kamel2, Georg Schomerus3, Angelo Giovanni Icro Maremmaniz4, Reinhard Michael Krausz1

    International Journal of Mental Health Promotion, Vol.25, No.9, pp. 985-993, 2023, DOI:10.32604/ijmhp.2023.030087

    Abstract Objectives: In 2019, the Insititue for Health Metrics and Evaluation reported that 16% of life lost were attributed to mental health. As a result, global shortage of psychiatrists is a pressing issue due to the increasing burden of mental illness. In 2016, a mere 5% of US medical students chose psychiatry as a career, a trend mirrored in Germany and Italy. As the medical students of 2016 have graduated or transitioned into residency in 2023, their attitudes towards psychiatry could have contributed to today’s shortage of psychiatrists. The global mental health burden has only been exacerbated by the COVID-19 pandemic.… More >

  • Open Access

    REVIEW

    Managing Smart Technologies with Software-Defined Networks for Routing and Security Challenges: A Survey

    Babangida Isyaku1,2, Kamalrulnizam Bin Abu Bakar2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1839-1879, 2023, DOI:10.32604/csse.2023.040456

    Abstract Smart environments offer various services, including smart cities, e-healthcare, transportation, and wearable devices, generating multiple traffic flows with different Quality of Service (QoS) demands. Achieving the desired QoS with security in this heterogeneous environment can be challenging due to traffic flows and device management, unoptimized routing with resource awareness, and security threats. Software Defined Networks (SDN) can help manage these devices through centralized SDN controllers and address these challenges. Various schemes have been proposed to integrate SDN with emerging technologies for better resource utilization and security. Software Defined Wireless Body Area Networks (SDWBAN) and Software Defined Internet of Things (SDIoT)… More >

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