Applied Sciences | Top 20 Cited Papers in 2021 in the Section "Computing and Artificial Intelligence"

1. “Detection of Cardiac Structural Abnormalities in Fetal Ultrasound Videos Using Deep Learning”
by Komatsu, M.; Sakai, A.; Komatsu, R.; Matsuoka, R.; Yasutomi, S.; Shozu, K.; Dozen, A.; Machino, H.; Hidaka, H.; Arakaki, T.; Asada, K.; Kaneko, S.; Sekizawa, A. and Hamamoto, R.
Appl. Sci. 2021, 11(1), 371; https://doi.org/10.3390/app11010371
Available online: https://www.mdpi.com/2076-3417/11/1/371

2. “Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain”
by Althnian, A.; AlSaeed, D.; Al-Baity, H.; Samha, A.; Dris, A.; Alzakari, N.; Abou Elwafa, A. and Kurdi, H.
Appl. Sci. 2021, 11(2), 796; https://doi.org/10.3390/app11020796
Available online: https://www.mdpi.com/2076-3417/11/2/796

3. “Sentence Representation Method Based on Multi-Layer Semantic Network”
by Zheng, W.; Liu, X. and Yin, L.
Appl. Sci. 2021, 11(3), 1316; https://doi.org/10.3390/app11031316
Available online: https://www.mdpi.com/2076-3417/11/3/1316

4. “Trends and Challenges in Network Covert Channels Countermeasures”
by Caviglione, L.
Appl. Sci. 2021, 11(4), 1641; https://doi.org/10.3390/app11041641
Available online: https://www.mdpi.com/2076-3417/11/4/1641

5. “Intelligent Cyber Attack Detection and Classification for Network-Based Intrusion Detection Systems”
by Oliveira, N.; Praça, I.; Maia, E. and Sousa, O.
Appl. Sci. 2021, 11(4), 1674; https://doi.org/10.3390/app11041674
Available online: https://www.mdpi.com/2076-3417/11/4/1674

6. “Augmented CWT Features for Deep Learning-Based Indoor Localization Using WiFi RSSI Data”
by Ssekidde, P.; Steven Eyobu, O.; Han, D. and Oyana, T.
Appl. Sci. 2021, 11(4), 1806; https://doi.org/10.3390/app11041806
Available online: https://www.mdpi.com/2076-3417/11/4/1806

7. “How to Correctly Detect Face-Masks for COVID-19 from Visual Information?”
by Batagelj, B.; Peer, P.; Štruc, V. and Dobrišek, S.
Appl. Sci. 2021, 11(5), 2070; https://doi.org/10.3390/app11052070
Available online: https://www.mdpi.com/2076-3417/11/5/2070

8. “A Review of Human–Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications”
by Katona, J.
Appl. Sci. 2021, 11(6), 2646; https://doi.org/10.3390/app11062646
Available online: https://www.mdpi.com/2076-3417/11/6/2646

9. “Deep Learning Based Human Activity Recognition Using Spatio-Temporal Image Formation of Skeleton Joints”
by Tasnim, N.; Islam, M. and Baek, J.
Appl. Sci. 2021, 11(6), 2675; https://doi.org/10.3390/app11062675
Available online: https://www.mdpi.com/2076-3417/11/6/2675

10. “Key Factors in the Implementation of the Internet of Things in the Hotel Sector”
by Infante-Moro, A.; Infante-Moro, J. and Gallardo-Pérez, J.
Appl. Sci. 2021, 11(7), 2924; https://doi.org/10.3390/app11072924
Available online: https://www.mdpi.com/2076-3417/11/7/2924

11. “Information Security Behavior and Information Security Policy Compliance: A Systematic Literature Review for Identifying the Transformation Process from Noncompliance to Compliance”
by Ali, R.; Dominic, P.; Ali, S.; Rehman, M. and Sohail, A.
Appl. Sci. 2021, 11(8), 3383; https://doi.org/10.3390/app11083383
Available online: https://www.mdpi.com/2076-3417/11/8/3383

12. “A Deep Neural Network Model for Speaker Identification”
by Ye, F. and Yang, J.
Appl. Sci. 2021, 11(8), 3603; https://doi.org/10.3390/app11083603
Available online: https://www.mdpi.com/2076-3417/11/8/3603

13. “Prediction of Peak Particle Velocity Caused by Blasting through the Combinations of Boosted-CHAID and SVM Models with Various Kernels”
by Zeng, J.; Roussis, P.; Mohammed, A.; Maraveas, C.; Fatemi, S.; Armaghani, D. and Asteris, P.
Appl. Sci. 2021, 11(8), 3705; https://doi.org/10.3390/app11083705
Available online: https://www.mdpi.com/2076-3417/11/8/3705

14. “Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study”
by Kastrati, Z.; Dalipi, F.; Imran, A.; Pireva Nuci, K. and Wani, M.
Appl. Sci. 2021, 11(9), 3986; https://doi.org/10.3390/app11093986
Available online: https://www.mdpi.com/2076-3417/11/9/3986

15. “Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model”
by Mujahid, A.; Awan, M.; Yasin, A.; Mohammed, M.; Damaševičius, R.; Maskeliūnas, R. and Abdulkareem, K.
Appl. Sci. 2021, 11(9), 4164; https://doi.org/10.3390/app11094164
Available online: https://www.mdpi.com/2076-3417/11/9/4164

16. “Augmented Reality Maintenance Assistant Using YOLOv5”
by Malta, A.; Mendes, M. and Farinha, T.
Appl. Sci. 2021, 11(11), 4758; https://doi.org/10.3390/app11114758
Available online: https://www.mdpi.com/2076-3417/11/11/4758

17. “COVID-19 Vaccination Awareness and Aftermath: Public Sentiment Analysis on Twitter Data and Vaccinated Population Prediction in the USA”
by Sattar, N. and Arifuzzaman, S.
Appl. Sci. 2021, 11(13), 6128; https://doi.org/10.3390/app11136128
Available online: https://www.mdpi.com/2076-3417/11/13/6128

18. “A Survey on Change Detection and Time Series Analysis with Applications”
by Ghaderpour, E.; Pagiatakis, S. and Hassan, Q.
Appl. Sci. 2021, 11(13), 6141; https://doi.org/10.3390/app11136141
Available online: https://www.mdpi.com/2076-3417/11/13/6141

19. “Prediction of COVID-19 from Chest CT Images Using an Ensemble of Deep Learning Models”
by Biswas, S.; Chatterjee, S.; Majee, A.; Sen, S.; Schwenker, F. and Sarkar, R.
Appl. Sci. 2021, 11(15), 7004; https://doi.org/10.3390/app11157004
Available online: https://www.mdpi.com/2076-3417/11/15/7004

20. “Comparative Analysis of Low Discrepancy Sequence-Based Initialization Approaches Using Population-Based Algorithms for Solving the Global Optimization Problems”
by Bangyal, W.; Nisar, K.; Ag. Ibrahim, A.; Haque, M.; Rodrigues, J. and Rawat, D.
Appl. Sci. 2021, 11(16), 7591; https://doi.org/10.3390/app11167591
Available online: https://www.mdpi.com/2076-3417/11/16/7591