المؤلفون: Federico Tajariol, Dana Simona Gherai, Camelia Delcea, Liviu-Adrian Cotfas, Corina Ioanas, Ioan Roxin

المساهمون: Edition, Littératures, Langages, Informatique, Arts, Didactique, Discours - UFC (UR 4661) (ELLIADD), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)

المصدر: IEEE Access, Vol 9, Pp 33203-33223 (2021)
Ieee Access
IEEE Access
IEEE Access, IEEE, 2021, 9, pp.33203-33223. ⟨10.1109/ACCESS.2021.3059821⟩

مصطلحات موضوعية: Civil society, History, General Computer Science, media_common.quotation_subject, social media, Computers and Information Processing, stance classification, 02 engineering and technology, [SHS]Humanities and Social Sciences, Opinion mining, 03 medical and health sciences, 0302 clinical medicine, vaccine, Pandemic, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Social media, [INFO]Computer Science [cs], 030212 general & internal medicine, Electrical and Electronic Engineering, ComputingMilieux_MISCELLANEOUS, media_common, SARS-CoV-2, Sentiment analysis, General Engineering, COVID-19, Advertising, TK1-9971, Vaccination, Feeling, Order (business), Public trust, 020201 artificial intelligence & image processing, Computational and Artificial Intelligence, Electrical engineering. Electronics. Nuclear engineering

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8fb8fad799f2dd09377db571dfbba29Test
https://ieeexplore.ieee.org/document/9354776Test/

المؤلفون: Ali Ghorbi, Marcel Ausloos, Emanuel Sallinger, Sahar Vahdati, Mohsen Fazeli-Varzaneh

المصدر: IEEE Access, Vol 9, Pp 21192-21205 (2021)
Ieee Access
IEEE Access

مصطلحات موضوعية: History, General Computer Science, Coronavirus disease 2019 (COVID-19), media_common.quotation_subject, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coronavirus, Computers and Information Processing, Context (language use), Bibliometrics, Activity index, 050905 science studies, Phenomenon, General Materials Science, Electrical and Electronic Engineering, Social science, media_common, Science - General, bibliometric, activity index, 05 social sciences, General Engineering, COVID-19, sleeping beauty, TK1-9971, 3. Good health, Beauty, relative specialization index, Electrical engineering. Electronics. Nuclear engineering, Beauty score, 0509 other social sciences, 050904 information & library sciences, Citation

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::715db9bb410ae73501b96ea6ed0b62f6Test
https://doi.org/10.1109/access.2021.3052918Test

المؤلفون: Abubaker-Eseddig Fathi Mahmoud Elsebaie, Abdulaziz Aborujilah, Shamsul Anuar Mokhtar

المصدر: IEEE Access, Vol 9, Pp 131120-131133 (2021)
Ieee Access

مصطلحات موضوعية: IoT, General Computer Science, Coronavirus disease 2019 (COVID-19), Computer science, Internet of Things, Medical equipment, Computers and Information Processing, Health care, General Materials Science, Information flow (information theory), Electrical and Electronic Engineering, total hospital information systems, Systems Engineering and Theory, THIS, business.industry, General Engineering, Medical equipment management, Information quality, TK1-9971, MEMS, Risk analysis (engineering), Transparency (graphic), and intensive care unit, ICU, IEEE Engineering in Medicine and Biology Society Section, Electrical engineering. Electronics. Nuclear engineering, business, Coronavirus (COVID-19 Pandemic), medical equipment management system

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::212fae829f4f9bc7e68fd02025e70dabTest
https://ieeexplore.ieee.org/document/9388663Test/

المؤلفون: Mirhamed Mirmozafari, Wahab Mohyuddin, Alireza Jamshidi, Nima Bayat-Makou, Mohammad Jamshidi, Mojgan Dehghani, Asal Sabet, Zdenek Peroutka, Farimah Hadjilooei, Bahare Mohamadzade, Sarah Kiani, Sobhan Roshani, Luigi La Spada, Hamed Hashemi-Dezaki, Pedram Lalbakhsh, Jakub Talla, Zahra Malek, Ali Lalbakhsh, Saeed Roshani, Morteza Jamshidi

المصدر: IEEE Access, Vol 8, Pp 109581-109595 (2020)
Ieee Access
IEEE Access

مصطلحات موضوعية: medicine.medical_specialty, Artificial intelligence, Information theory, biomedical informatics, General Computer Science, diagnosis, Process (engineering), Computer science, Big data, Biomedical Engineering, 02 engineering and technology, Health informatics, Adversarial system, big data, 0202 electrical engineering, electronic engineering, information engineering, medicine, General Materials Science, Electrical and Electronic Engineering, Emerging Deep Learning Theories and Methods for Biomedical Engineering, Artificial intelligence, big data, bioinformatics, biomedical informatics, COVID-19, deep learning, diagnosis, machine learning, treatment, Extreme learning machine, Computational and artificial intelligence, treatment, Artificial neural network, business.industry, Public health, Deep learning, General Engineering, COVID-19, deep learning, 020206 networking & telecommunications, Unstructured data, bioinformatics, Computers and information processing, machine learning, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971

وصف الملف: PDF; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759febb0e493770078ad744f50b390f6Test
https://ieeexplore.ieee.org/document/9115663Test/

المؤلفون: Pan Hui, Tristan Braud, Young D. Kwon, Ehsan ul Haq

المساهمون: Department of Computer Science

المصدر: IEEE Access, Vol 8, Pp 197379-197406 (2020)

مصطلحات موضوعية: FOS: Computer and information sciences, Persuasion, POLARIZATION, social network analysis, General Computer Science, IMPACT, media_common.quotation_subject, user modelling, 02 engineering and technology, PREDICT, Computer Science - Computers and Society, TWITTER, 020204 information systems, Political science, Computers and Society (cs.CY), 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Electrical and Electronic Engineering, SENTIMENT, discourse analysis, cs.CY, Social network analysis, Social movement, media_common, Social and Information Networks (cs.SI), Social computing, business.industry, Polarization (politics), Sentiment analysis, Computational politics, General Engineering, social computing, Computer Science - Social and Information Networks, Public relations, VOTERS, 113 Computer and information sciences, NETWORKS, REVEAL, ELECTION, Information and Communications Technology, computers and information processing, 020201 artificial intelligence & image processing, The Internet, lcsh:Electrical engineering. Electronics. Nuclear engineering, digital humanities, business, lcsh:TK1-9971, cs.SI

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c7df2aaa28e06465a3db3e55af34d5Test
https://doi.org/10.1109/access.2020.3034983Test

المؤلفون: Muhammad Nazrul Islam, Iyolita Islam, Kazi Md. Munim, A. K. M. Najmul Islam

المصدر: IEEE Access, Vol 8, Pp 145601-145610 (2020)
Ieee Access

مصطلحات موضوعية: FOS: Computer and information sciences, 020205 medical informatics, General Computer Science, Coronavirus disease 2019 (COVID-19), Computer science, Biomedical Engineering, coronavirus, Exploratory research, Computer Science - Human-Computer Interaction, 02 engineering and technology, Outcome (game theory), Human-Computer Interaction (cs.HC), 03 medical and health sciences, Computer Science - Software Engineering, 0302 clinical medicine, mobile health application, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, 030212 general & internal medicine, Electrical and Electronic Engineering, mHealth, Reliability (statistics), Flexibility (engineering), business.industry, General Engineering, COVID-19, Usability, Computers and information processing, Data science, TK1-9971, Software Engineering (cs.SE), exploratory study, Electrical engineering. Electronics. Nuclear engineering, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b60f5c2b1d55f218d0f5f33514c02bf6Test
http://arxiv.org/abs/2008.09063Test

المؤلفون: Miguel de Prado, Maurizo Denna, Rabia Saeed, Andrew Mundy, Nuria Pazos, Luca Benini

المساهمون: De Prado M., Mundy A., Saeed R., Denna M., Pazos N., Benini L.

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Speedup, Computer science, Design space exploration, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (stat.ML), 02 engineering and technology, computational and artificial intelligence, learning systems, Machine Learning (cs.LG), Software, edge computing, Statistics - Machine Learning, computational intelligence, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Reinforcement learning, Application virtualization, Electrical and Electronic Engineering, computer application, Artificial neural network, business.industry, Deep learning, computation theory, Image and Video Processing (eess.IV), Program optimization, Electrical Engineering and Systems Science - Image and Video Processing, artificial intelligence, Computer Graphics and Computer-Aided Design, 020202 computer hardware & architecture, ARM architecture, Data flow diagram, greedy algorithm, Computer engineering, Software deployment, computers and information processing, Artificial intelligence, business

وصف الملف: ELETTRONICO

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4fbf8c2c9a0b3c9b9e788bc1f911e74Test
http://arxiv.org/abs/2006.05181Test

المؤلفون: Mehmet N. Aydin, Arif Selcuk Ogrenci, Yildiz Karadayi

المساهمون: Karadayı, Yıldız, Aydın, Mehmet Nafiz, Öǧrenci, Arif Selçuk

المصدر: Ieee Access
IEEE Access, Vol 8, Pp 164155-164177 (2020)
IEEE Access

مصطلحات موضوعية: Multivariate statistics, General Computer Science, Clustering algorithms, Computer science, Time series analysis, Context (language use), Computers and Information Processing, Diseases, 02 engineering and technology, Anomaly detection, computer.software_genre, Unsupervised, multivariate, 020204 information systems, Outbreak detection, 0502 economics and business, Machine learning, Spatial databases, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Electrical and Electronic Engineering, Dimension (data warehouse), Time series, business.industry, Deep learning, 05 social sciences, General Engineering, Data models, COVID-19, Temporal database, TK1-9971, Data set, Italy, Multivariate data, 050211 marketing, Computational and Artificial Intelligence, Artificial intelligence, Data mining, Electrical engineering. Electronics. Nuclear engineering, Spatio-temporal anomaly detection, business, computer

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feaabec36dc886692309f2c346f63a9fTest
https://hdl.handle.net/20.500.12469/3514Test

المؤلفون: Kamran Shaukat, Ibrahim A. Hameed, Suhuai Luo, Adeel Nasir, Farhat Iqbal, Talha Mahboob Alam

المصدر: IEEE Access
Ieee Access
IEEE Access, Vol 8, Pp 133377-133402 (2020)

مصطلحات موضوعية: Bibliometric analysis, Coronavirus disease 2019 (COVID-19), General Computer Science, Biomedical Engineering, coronavirus, biblioshiny, COVID survey, 03 medical and health sciences, Pandemic, Epidemic disease, General Materials Science, Sociology, Electrical and Electronic Engineering, Social science, r-studio, 030304 developmental biology, SARS, conceptual structure, 0303 health sciences, pandemic, Field (Bourdieu), 05 social sciences, General Engineering, COVID-19, 050301 education, Computers and information processing, TK1-9971, Conceptual framework, Conceptual structure, Electrical engineering. Electronics. Nuclear engineering, social sciences, 0503 education

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3a24f45dfe1d1993fe1c65d4a20470bTest

المؤلفون: Enrico De Santis, Alessio Martino, Antonello Rizzi

المصدر: Ieee Access
IEEE Access
IEEE Access, Vol 8, Pp 132527-132538 (2020)

مصطلحات موضوعية: 2019-20 coronavirus outbreak, General Computer Science, natural language processing, topic tracking, topic detection, social network analysis, text mining, COVID-19, infodemiology, infoveillance, Computer science, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Computers and Information Processing, 050801 communication & media studies, 02 engineering and technology, Critical mass (sociodynamics), Infodemiology, 0508 media and communications, 020204 information systems, Pandemic, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Social media, Electrical and Electronic Engineering, Social network analysis, Social influence, Event (computing), 05 social sciences, General Engineering, Data science, TK1-9971, Infoveillance, Computational and Artificial Intelligence, Electrical engineering. Electronics. Nuclear engineering

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::078f6dab7cedce3283ed3085bdc1d069Test
http://hdl.handle.net/11573/1433688Test