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  • Open Access

    ARTICLE

    Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications

    Punit Gupta1, Sanjit Bhagat2, Dinesh Kumar Saini1,*, Ashish Kumar2, Mohammad Alahmadi3, Prakash Chandra Sharma1

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5659-5676, 2022, DOI:10.32604/cmc.2022.023056 - 14 January 2022

    Abstract In the next generation of computing environment e-health care services depend on cloud services. The Cloud computing environment provides a real-time computing environment for e-health care applications. But these services generate a huge number of computational tasks, real-time computing and comes with a deadline, so conventional cloud optimization models cannot fulfil the task in the least time and within the deadline. To overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the… More >

  • Open Access

    ARTICLE

    Efficient Joint Key Authentication Model in E-Healthcare

    Muhammad Sajjad1, Tauqeer Safdar Malik1, Shahzada Khurram2, Akber Abid Gardezi3, Fawaz Alassery4, Habib Hamam5, Omar Cheikhrouhou6, Muhammad Shafiq7,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2739-2753, 2022, DOI:10.32604/cmc.2022.022706 - 07 December 2021

    Abstract Many patients have begun to use mobile applications to handle different health needs because they can better access high-speed Internet and smartphones. These devices and mobile applications are now increasingly used and integrated through the medical Internet of Things (mIoT). mIoT is an important part of the digital transformation of healthcare, because it can introduce new business models and allow efficiency improvements, cost control and improve patient experience. In the mIoT system, when migrating from traditional medical services to electronic medical services, patient protection and privacy are the priorities of each stakeholder. Therefore, it is… More >

  • Open Access

    ARTICLE

    Mining the Chatbot Brain to Improve COVID-19 Bot Response Accuracy

    Mukhtar Ghaleb1,*, Yahya Almurtadha2, Fahad Algarni3, Monir Abdullah3, Emad Felemban4, Ali M. Alsharafi3, Mohamed Othman5, Khaled Ghilan6

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2619-2638, 2022, DOI:10.32604/cmc.2022.020358 - 27 September 2021

    Abstract People often communicate with auto-answering tools such as conversational agents due to their 24/7 availability and unbiased responses. However, chatbots are normally designed for specific purposes and areas of experience and cannot answer questions outside their scope. Chatbots employ Natural Language Understanding (NLU) to infer their responses. There is a need for a chatbot that can learn from inquiries and expand its area of experience with time. This chatbot must be able to build profiles representing intended topics in a similar way to the human brain for fast retrieval. This study proposes a methodology to… More >

  • Open Access

    ARTICLE

    Energy Efficient Cluster Based Clinical Decision Support System in IoT Environment

    C. Rajinikanth1, P. Selvaraj2, Mohamed Yacin Sikkandar3, T. Jayasankar4, Seifedine Kadry5, Yunyoung Nam6,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2013-2029, 2021, DOI:10.32604/cmc.2021.018719 - 21 July 2021

    Abstract Internet of Things (IoT) has become a major technological development which offers smart infrastructure for the cloud-edge services by the interconnection of physical devices and virtual things among mobile applications and embedded devices. The e-healthcare application solely depends on the IoT and cloud computing environment, has provided several characteristics and applications. Prior research works reported that the energy consumption for transmission process is significantly higher compared to sensing and processing, which led to quick exhaustion of energy. In this view, this paper introduces a new energy efficient cluster enabled clinical decision support system (EEC-CDSS) for… More >

  • Open Access

    ARTICLE

    Designing an Online Appointment System for Semiliterate Users

    Sarah Chaudhry1, Fakhra Batool1, Abdul Hafeez Muhammad1, Ansar Siddique2,*

    Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 379-395, 2021, DOI:10.32604/iasc.2021.016263 - 01 April 2021

    Abstract Information and Communications Technology (ICT) has revolutionized the healthcare leading to provision of eHealth facilities remotely. During the peak time of COVID-19, as the long queues at health care facilities can result in spread of the virus. ICT can play an effective role especially for reducing the extended waiting time of patients to consult a medical practitioner which is considered as a source of hazard during the pandemic. However, in developing countries where majority population is semiliterate so find difficulty when come into contact with appointment systems which are not particularly designed keeping in consideration… More >

  • Open Access

    ARTICLE

    Validating the Correct Wearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19

    Karim Hammoudi1,2,*, Adnane Cabani3, Halim Benhabiles4, Mahmoud Melkemi1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1049-1059, 2020, DOI:10.32604/cmes.2020.011663 - 21 August 2020

    Abstract In a context of a virus that is transmissive by sputtering, wearing masks appear necessary to protect the wearer and to limit the propagation of the disease. Currently, we are facing the 2019–2020 coronavirus pandemic. Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. The symptom of COVID-19 was reported first in China and very quickly spreads to the rest of the world. The COVID-19 contagiousness is known to be high by comparison with the flu. In this paper, we propose a design of a mobile application for permitting… More >

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