Applied Sciences | Top 20 Cited Papers in 2023 in the Section “Computing and Artificial intelligence”
1. “Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review”
by José Maurício, Inês Domingues and Jorge Bernardino
Appl. Sci. 2023, 13(9), 5521; https://doi.org/10.3390/app13095521
Available online: https://www.mdpi.com/2076-3417/13/9/5521
2. “Blockchain Integration in the Era of Industrial Metaverse”
by Dimitris Mourtzis, John Angelopoulos and Nikos Panopoulos
Appl. Sci. 2023, 13(13), 1353; https://doi.org/10.3390/app13031353
Available online: https://www.mdpi.com/2076-3417/13/3/1353
3. “ChatGPT Challenges Blended Learning Methodologies in Engineering Education: A Case Study in Mathematics”
by Luis M. Sánchez-Ruiz, Santiago Moll-López, Adolfo Nuñez-Pérez, José Antonio Moraño-Fernández and Erika Vega-Fleitas
Appl. Sci. 2023, 13(10), 6039; https://doi.org/10.3390/app13106039
Available online: https://www.mdpi.com/2076-3417/13/10/6039
4. “Knowing Knowledge: Epistemological Study of Knowledge in Transformers”
by Leonardo Ranaldi and Giulia Pucci
Appl. Sci. 2023, 13(2), 677; https://doi.org/10.3390/app13020677
Available online: https://www.mdpi.com/2076-3417/13/2/677
5. “Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition Monitoring”
by Eugenio Brusa, Luca Cibrario, Cristiana Delprete and Luigi Gianpio Di Maggio
Appl. Sci. 2023, 13(4), 2038; https://doi.org/10.3390/app13042038
Available online: https://www.mdpi.com/2076-3417/13/4/2038
6. “Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success”
by Ting Wang, Brady D. Lund, Agostino Marengo, Alessandro Pagano, Nishith Reddy Mannuru, Zoë A. Teel and Jenny Pange
Appl. Sci. 2023, 13(11), 6716; https://doi.org/10.3390/app13116716
Available online: https://www.mdpi.com/2076-3417/13/11/6716
7. “Countering the Novelty Effect: A Tutorial for Immersive Virtual Reality Learning Environments”
by Ines Miguel-Alonso, Bruno Rodriguez-Garcia, David Checa and Andres Bustillo
Appl. Sci. 2023, 13(1), 593; https://doi.org/10.3390/app13010593
Available online: https://www.mdpi.com/2076-3417/13/1/593
8. “An Artificial Intelligence Approach for Improving Maintenance to Supervise Machine Failures and Support Their Repair”
by Izabela Rojek, Małgorzata Jasiulewicz-Kaczmarek, Mariusz Piechowski and Dariusz Mikołajewski
Appl. Sci. 2023, 13(8), 4971; https://doi.org/10.3390/app13084971
Available online: https://www.mdpi.com/2076-3417/13/8/4971
9. “Low Rate DDoS Detection Using Weighted Federated Learning in SDN Control Plane in IoT Network”
by Muhammad Nadeem Ali, Muhammad Imran, Muhammad Salah ud din and Byung-Seo Kim
Appl. Sci. 2023, 13(3), 1431; https://doi.org/10.3390/app13031431
Available online: https://www.mdpi.com/2076-3417/13/3/1431
10. “Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series”
by Ferdinand Rewicki, Joachim Denzler and Julia Niebling
Appl. Sci. 2023, 13(3), 1778; https://doi.org/10.3390/app13031778
Available online: https://www.mdpi.com/2076-3417/13/3/1778
11. “Recent Advances in Artificial Intelligence-Assisted Ultrasound Scanning”
by Rebeca Tenajas, David Miraut, Carlos I. Illana, Rodrigo Alonso-Gonzalez, Fernando Arias-Valcayo and Joaquin L. Herraiz
Appl. Sci. 2023, 13(6), 3693; https://doi.org/10.3390/app13063693
Available online: https://www.mdpi.com/2076-3417/13/6/3693
12. “A Secure and Decentralized Authentication Mechanism Based on Web 3.0 and Ethereum Blockchain Technology”
by Adrian Petcu, Bogdan Pahontu, Madalin Frunzete and Dan Alexandru Stoichescu
Appl. Sci. 2023, 13(4), 2231; https://doi.org/10.3390/app13042231
Available online: https://www.mdpi.com/2076-3417/13/4/2231
13. “Fuzzy Logic with Deep Learning for Detection of Skin Cancer”
by Sumit Kumar Singh, Vahid Abolghasemi and Mohammad Hossein Anisi
Appl. Sci. 2023, 13(15), 8927; https://doi.org/10.3390/app13158927
Available online: https://www.mdpi.com/2076-3417/13/15/8927
14. “Blockchain-Based Decentralized Federated Learning Method in Edge Computing Environment”
by Song Liu, Xiong Wang, Longshuo Hui and Weiguo Wu
Appl. Sci. 2023, 13(3), 1677; https://doi.org/10.3390/app13031677
Available online: https://www.mdpi.com/2076-3417/13/3/1677
15. “Deep Learning-Based Network Intrusion Detection Using Multiple Image Transformers”
by Taehoon Kim and Wooguil Pak
Appl. Sci. 2023, 13(5), 2754; https://doi.org/10.3390/app13052754
Available online: https://www.mdpi.com/2076-3417/13/5/2754
16. “Security and Privacy Issues in IoT-Based Big Data Cloud Systems in a Digital Twin Scenario”
by Christos L. Stergiou, Elisavet Bompoli and Konstantinos E. Psannis
Appl. Sci. 2023, 13(2), 758; https://doi.org/10.3390/app13020758
Available online: https://www.mdpi.com/2076-3417/13/2/758
17. “Crop Disease Diagnosis with Deep Learning-Based Image Captioning and Object Detection”
by Dong In Lee, Ji Hwan Lee, Seung Ho Jang, Se Jong Oh and Ill Chul Doo
Appl. Sci. 2023, 13(5), 3148; https://doi.org/10.3390/app13053148
Available online: https://www.mdpi.com/2076-3417/13/5/3148
18. “A Machine-Learning-Algorithm-Assisted Intelligent System for Real-Time Wireless Respiratory Monitoring”
by Chi Zhang, Lei Zhang, Yu Tian, Bo Bao and Dachao Li
Appl. Sci. 2023, 13(6), 3885; https://doi.org/10.3390/app13063885
Available online: https://www.mdpi.com/2076-3417/13/6/3885
19. “Control System Design and Methods for Collaborative Robots: Review”
by Ayesha Hameed, Andrzej Ordys, Jakub Możaryn and Anna Sibilska-Mroziewicz
Appl. Sci. 2023, 13(1), 675; https://doi.org/10.3390/app13010675
Available online: https://www.mdpi.com/2076-3417/13/1/675
20. “Retinex-Based Relighting for Night Photography”
by Sou Oish and Norishige Fukushima
Appl. Sci. 2023, 13(3), 1719; https://doi.org/10.3390/app13031719
Available online: https://www.mdpi.com/2076-3417/13/3/1719