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  • Open Access

    ARTICLE

    Utilization of Deep Learning-Based Crowd Analysis for Safety Surveillance and Spread Control of COVID-19 Pandemic

    Osama S. Faragallah1,*, Sultan S. Alshamrani1, Heba M. El-Hoseny2, Mohammed A. AlZain1, Emad Sami Jaha3, Hala S. El-Sayed4

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1483-1497, 2022, DOI:10.32604/iasc.2022.020330 - 09 October 2021

    Abstract Crowd monitoring analysis has become an important challenge in academic researches ranging from surveillance equipment to people behavior using different algorithms. The crowd counting schemes can be typically processed in two steps, the images ground truth density maps which are obtained from ground truth density map creation and the deep learning to estimate density map from density map estimation. The pandemic of COVID-19 has changed our world in few months and has put the normal human life to a halt due to its rapid spread and high danger. Therefore, several precautions are taken into account… More >

  • Open Access

    ARTICLE

    Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic

    Chia-Nan Wang1, Chao-Fen Pan1,*, Viet Tinh Nguyen2, Syed Tam Husain2

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3005-3019, 2022, DOI:10.32604/cmc.2022.020206 - 27 September 2021

    Abstract As global supply chains become more developed and complicated, supplier quality has become increasingly influential on the competitiveness of businesses during the Covid-19 pandemic. Consequently, supplier selection is an increasingly important process for any business around the globe. Choosing a supplier is a complex decision that can result in lower procurement costs and increased profits without increasing the cost or lowering the quality of the product. However, these decision-making problems can be complicated in cases with multiple potential suppliers. Vietnam's textile and garment industry, for example, has made rapid progress in recent years but is… More >

  • Open Access

    ARTICLE

    PCN2: Parallel CNN to Diagnose COVID-19 from Radiographs and Metadata

    Abdullah Baz1, Mohammed Baz2,*

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 1051-1069, 2022, DOI:10.32604/iasc.2022.020304 - 22 September 2021

    Abstract COVID-19 constitutes one of the devastating pandemics plaguing humanity throughout the centuries; within about 18 months since its appearing, the cumulative confirmed cases hit 173 million, whereas the death toll approaches 3.72 million. Although several vaccines became available for the public worldwide, the speed with which COVID-19 is spread, and its different mutant strains hinder stopping its outbreak. This, in turn, prompting the desperate need for devising fast, cheap and accurate tools via which the disease can be diagnosed in its early stage. Reverse Transcription Polymerase Chain Reaction (RTPCR) test is the mainstay tool used… More >

  • Open Access

    ARTICLE

    Blockchain and Artificial Intelligence Applications to Defeat COVID-19 Pandemic

    Mohammed Baz1, Sabita Khatri2, Abdullah Baz3, Hosam Alhakami4, Alka Agrawal2, Raees Ahmad Khan2,*

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 691-702, 2022, DOI:10.32604/csse.2022.019079 - 09 September 2021

    Abstract The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020, provide critical research criteria to assess the vulnerabilities of our current health system. The paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness, about public health and healthcare mechanisms. In view of this unprecedented health crisis, distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages, and with the higher… More >

  • Open Access

    ARTICLE

    Optimization Model for Selecting Temporary Hospital Locations During COVID-19 Pandemic

    Chia-Nan Wang1, Chien-Chang Chou2,*, Hsien-Pin Hsu3, Van Thanh Nguyen4, Viet Tinh Nguyen4

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 397-412, 2022, DOI:10.32604/cmc.2022.019470 - 07 September 2021

    Abstract The two main approaches that countries are using to ease the strain on healthcare infrastructure is building temporary hospitals that are specialized in treating COVID-19 patients and promoting preventive measures. As such, the selection of the optimal location for a temporary hospital and the calculation of the prioritization of preventive measures are two of the most critical decisions during the pandemic, especially in densely populated areas where the risk of transmission of the virus is highest. If the location selection process or the prioritization of measures is poor, healthcare workers and patients can be harmed,… More >

  • Open Access

    ARTICLE

    Customer Prioritization for Medical Supply Chain During COVID-19 Pandemic

    Iram Mushtaq1, Muhammad Umer1, Muhammad Imran2, Inzamam Mashood Nasir3, Ghulam Muhammad4,*, Mohammad Shorfuzzaman5

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 59-72, 2022, DOI:10.32604/cmc.2022.019337 - 07 September 2021

    Abstract During COVID-19, the escalated demand for various pharmaceutical products with the existing production capacity of pharmaceutical companies has stirred the need to prioritize its customers in order to fulfill their demand. This study considers a two-echelon pharmaceutical supply chain considering various pharma-distributors as its suppliers and hospitals, pharmacies, and retail stores as its customers. Previous studies have generally considered a balanced situation in terms of supply and demand whereas this study considers a special situation of COVID-19 pandemic where demand exceeds supply Various criteria have been identified from the literature that influences the selection of… More >

  • Open Access

    ARTICLE

    An Enhanced Deep Learning Model for Automatic Face Mask Detection

    Qazi Mudassar Ilyas1, Muneer Ahmad2,*

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 241-254, 2022, DOI:10.32604/iasc.2022.018042 - 03 September 2021

    Abstract The recent COVID-19 pandemic has had lasting and severe impacts on social gatherings and interaction among people. Local administrative bodies enforce standard operating procedures (SOPs) to combat the spread of COVID-19, with mandatory precautionary measures including use of face masks at social assembly points. In addition, the World Health Organization (WHO) strongly recommends people wear a face mask as a shield against the virus. The manual inspection of a large number of people for face mask enforcement is a challenge for law enforcement agencies. This work proposes an automatic face mask detection solution using an… More >

  • Open Access

    ARTICLE

    Implementing Effective Learning with Ubiquitous Learning Technology During Coronavirus Pandemic

    Hosam F. El-Sofany1,2,*, Samir A. El-Seoud3

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 389-404, 2022, DOI:10.32604/csse.2022.018619 - 26 August 2021

    Abstract Ubiquitous computing supports U-learning to develop and implement a new educational environment that provides effective and interactive learning to students wherever they are. This study aims to present a qualitative evaluation for using U-learning instead of traditional education to avoid the spread of the Coronavirus pandemic. The authors introduce a UTAUT (Unified Theory of Acceptance and Use of Technology) model to assess the capability of the given factors that are expected to affect the learners’ intention and behavior for accepting the U-learning technology for full E-learning. The research study shows a promising impact on the… More >

  • Open Access

    ARTICLE

    Impact of COVID-19 pandemic on the presentation, management and outcome of testicular torsion in the pediatric population - an analysis of a large pediatric center

    Albert S. Lee, Hans G. Pohl, H. Gil Rushton, Tanya D. Davis

    Canadian Journal of Urology, Vol.28, No.4, pp. 10750-10755, 2021

    Abstract Introduction: To examine the impact of COVID-19 pandemic on the presentation, management and outcome of testicular torsion at our institution.
    Materials and methods: A retrospective review of a prospectively maintained testicular torsion database was performed. Patients ≤ 18 years of age evaluated in our emergency room between 3/11/2020 to 10/1/2020 (during-COVID-19) and the same period in 2018 and 2019 (pre-COVID-19) with US diagnosed and OR confirmed testicular torsion were included. Basic demographics, timing of presentation, referral rate, time to OR and orchiectomy rate were extracted and compared. P < 0.05 was considered statistically significant.
    Results: A total of… More >

  • Open Access

    ARTICLE

    Sentiment Analytics: Extraction of Challenging Influencing Factors from COVID-19 Pandemics

    Mahmoud Oglah Al Hasan Baniata*, Sohail Asghar

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 821-836, 2021, DOI:10.32604/iasc.2021.018612 - 20 August 2021

    Abstract The advancement in electronic devices and communication technologies in social media have introduced major changes in today’s communication and people have accepted such communicational habits at a rapid pace. The changes involve the way people started interacting with each other, and modern mean of discovering new groups of people, and individuals with similar mindsets, mutual interests, and ideas to share with. As far as the communities are concerned, there are so many social drives (such as “Say No to Plastic”) that need to be discussed on a certain platform for their promotion. Although, it’s quit… More >

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