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COVID Antworten in den wissenschaftlichen Zeitschriften der Welt


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Springer (Biomed Central Ltd.): Journal of Electrical Systems and Information Technology
  Original Artikel Datum Titel Autoren   Max. 6 Autoren
1 [GO] 2025―Okt―22 Hybrid data mining for pandemic public opinion analysis: integrating sentiment, topic, and geolocation data Festus A. Omojowo
2 [GO] 2025―Mai―26 Evaluating COVID-19 public discourse for sentiment, topic, and geolocation analysis Festus A. Omojowo, Edgar Osaghae, Taiwo Kolajo
3 [GO] 2024―Jun―18 The use of Efficientnet_b0 network to identify COVID-19 in chest X-ray images Michael Ayitey Junior, Peter Appiahene, Yaw Marfo Missah, Vivian Akoto-Adjepong
4 [GO] 2024―Jan―05 Classification of COVID-19 patients from HRCT score prediction in CT images using transfer learning approach Jitendra Tembhurne
5 [GO] 2023―Nov―06 Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era Oluwatobi Noah Akande, Morolake Oladayo Lawrence, Peter Ogedebe
6 [GO] 2023―Jun―14 Performance evaluation of a low-cost real time COVID-19 health monitoring system Mayada Abdelgadir Ahmed, Monzir Hashim Mohammed, Ibrahim Hassan Ahmed
7 [GO] 2023―Mrz―26 An automated guide to COVID-19 and future pandemic prevention and management George Emeka Okereke, Okechukwu Azegba, Emmanuel Chukwudi Ukekwe, Stephenson Chukwukanedu Echezona, Agozie Eneh
8 [GO] 2023―Jan―16 Sentiment analysis of COVID-19 tweets from selected hashtags in Nigeria using VADER and Text Blob analyser Odeyinka Abiola, Adebayo Abayomi-Alli, Oluwasefunmi Arogundade Tale, Sanjay Misra, Olusola Abayomi-Alli
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