Announcements
13 January 2023
Big Data and Cognitive Computing | Top Downloaded Papers in 2021
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
1. “6G Cognitive Information Theory: A Mailbox Perspective”
by Yixue Hao, Yiming Miao, Min Chen, Hamid Gharavi and Victor C. M. Leung
Big Data Cogn. Comput. 2021, 5(4), 56; https://doi.org/10.3390/bdcc5040056
Available Online: https://www.mdpi.com/2504-2289/5/4/56
2. “AI Based Emotion Detection for Textual Big Data: Techniques and Contribution”
by Sheetal Kusal, Shruti Patil, Ketan Kotecha, Rajanikanth Aluvalu and Vijayakumar Varadarajan
Big Data Cogn. Comput. 2021, 5(3), 43; https://doi.org/10.3390/bdcc5030043
Available Online: https://www.mdpi.com/2504-2289/5/3/43
3. “Forecasting Plant and Crop Disease: An Explorative Study on Current Algorithms”
by Gianni Fenu and Francesca Maridina Malloci
Big Data Cogn. Comput. 2021, 5(1), 2; https://doi.org/10.3390/bdcc5010002
Available Online: https://www.mdpi.com/2504-2289/5/1/2
4. “Assessment of Cybersecurity Awareness among Students of Majmaah University”
by Talal Alharbi and Asifa Tassaddiq
Big Data Cogn. Comput. 2021, 5(2), 23; https://doi.org/10.3390/bdcc5020023
Available Online: https://www.mdpi.com/2504-2289/5/2/23
5. “IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future Trends”
by Bernard Ijesunor Akhigbe, Kamran Munir, Olugbenga Akinade, Lukman Akanbi and Lukumon O. Oyedele
Big Data Cogn. Comput. 2021, 5(1), 10; https://doi.org/10.3390/bdcc5010010
Available Online: https://www.mdpi.com/2504-2289/5/1/10
6. “Big Data and Personalisation for Non-Intrusive Smart Home Automation”
by Suriya Priya R. Asaithambi, Sitalakshmi Venkatraman and Ramanathan Venkatraman
Big Data Cogn. Comput. 2021, 5(1), 6; https://doi.org/10.3390/bdcc5010006
Available Online: https://www.mdpi.com/2504-2289/5/1/6
7. “A Study on Singapore’s Ageing Population in the Context of Eldercare Initiatives Using Machine Learning Algorithms”
by Easwaramoorthy Rangaswamy, Girija Periyasamy and Nishad Nawaz
Big Data Cogn. Comput. 2021, 5(4), 51; https://doi.org/10.3390/bdcc5040051
Available Online: https://www.mdpi.com/2504-2289/5/4/51
8. “Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance”
by Hossein Hassani, Xu Huang, Steve MacFeely and Mohammad Reza Entezarian
Big Data Cogn. Comput. 2021, 5(3), 28; https://doi.org/10.3390/bdcc5030028
Available Online: https://www.mdpi.com/2504-2289/5/3/28
9. “ParlTech: Transformation Framework for the Digital Parliament”
by Dimitris Koryzis, Apostolos Dalas, Dimitris Spiliotopoulos and Fotios Fitsilis
Big Data Cogn. Comput. 2021, 5(1), 15; https://doi.org/10.3390/bdcc5010015
Available Online: https://www.mdpi.com/2504-2289/5/1/15
10. “Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19”
by Otmane Azeroual and Renaud Fabre
Big Data Cogn. Comput. 2021, 5(1), 12; https://doi.org/10.3390/bdcc5010012
Available Online: https://www.mdpi.com/2504-2289/5/1/12