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السجلات المعروضة 1 -- 11 من 11

    • Assessment of household food waste management during the COVID-19 pandemic in Serbia: a cross-sectional online survey 

      Berjan, Sinisa; Vaško, Željko; Ben Hassen, Tarek; El Bilali, Hamid; Allahyari, Mohammad S.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      The Serbian government has taken several measures to prevent the spread of COVID-19. These measures may have led to a disruption of daily life and affected food-related behaviors. This paper investigates the state of food ...

    • BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data 

      Rahman, Tawsifur; Chowdhury, Muhammad E. H.; Khandakar, Amith; Mahbub, Zaid Bin; Hossain, Md Sakib Abrar; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2023 , Article)
      Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge ...

    • Correction to: Training During the COVID-19 Lockdown: Knowledge, Beliefs, and Practices of 12,526 Athletes from 142 Countries and Six Continents (Sports Medicine, (2022), 52, 4, (933-948), 10.1007/s40279-021-01573-z) 

      Washif, Jad Adrian; Farooq, Abdulaziz; Krug, Isabel; Pyne, David B.; Verhagen, Evert; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Other)
      The affiliation of the author Lone Bogwasi, which previously read as: Lone Bogwasi Department of Orthopedics, Nyangabgwe Hospital, Francistown, Botswana Botswana Football Association Medical Committee, Gaborone, Botswana. ...

    • COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network 

      Rahman, Tawsifur; Akinbi, Alex; Chowdhury, Muhammad E. H.; Rashid, Tarik A.; Şengür, Abdulkadir; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...

    • COVID-19 infection map generation and detection from chest X-ray images 

      Degerli, Aysen; Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ...

    • Pose-invariant face recognition with multitask cascade networks 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Khelifi F. ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      In this work, a face recognition method is proposed for face under pose variations using a multitask convolutional neural network (CNN). Furthermore, a pose estimation method followed by a face identification module is ...

    • Predicting COVID-19 cases using bidirectional LSTM on multivariate time series 

      Said, Ahmed Ben; Erradi, Abdelkarim; Aly, Hussein Ahmed; Mohamed, Abdelmonem ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)
      To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ...

    • Prevalence of anxiety, sleep bruxism and temporomandibular disorders during COVID-19 in Qatari children and adolescents: a cross-sectional study 

      Nazzal, H.; Baccar, M.; Ziad, T.; Al-Musfir, T.; Al Emadi, B.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2023 , Article)
      Purpose: Understanding the impact of coronavirus disease-2019 (COVID-19) pandemic social restrictions on the lives of children and adolescents is of utmost importance to enable timely diagnosis and treatment. Therefore, ...

    • Smart 3D Simulation of Covid-19 for Evaluating the Social Distance Measures 

      Al-Khayarin, A.; Halabi, O. ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)
      The aim of this research is to model and simulate the recent and ongoing COVID19 pandemic in terms of virus contagiousness among mixed groups of patients, carriers and unaffected individuals when taking into consideration ...

    • Smart technologies driven approaches to tackle COVID-19 pandemic: a review 

      Khan, Hameed; Kushwah, K. K.; Singh, Saurabh; Urkude, Harshika; Maurya, Muni Raj; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article Review)
      The novel coronavirus infection (COVID-19) is not diminishing without vaccine, but it impinges on human safety and economy can be minimized by adopting smart technology to combat pandemic situation. The implementation of ...

    • Training During the COVID-19 Lockdown: Knowledge, Beliefs, and Practices of 12,526 Athletes from 142 Countries and Six Continents 

      Washif, Jad Adrian; Farooq, Abdulaziz; Krug, Isabel; Pyne, David B.; Verhagen, Evert; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      Objective: Our objective was to explore the training-related knowledge, beliefs, and practices of athletes and the influence of lockdowns in response to the coronavirus disease 2019 (COVID-19) pandemic caused by severe ...