Technologies | Top 20 Cited Papers in 2023
1. “A Review of Deep Transfer Learning and Recent Advancements”
by Mohammadreza Iman, Hamid Reza Arabnia and Khaled Rasheed
Technologies 2023, 11(2), 40; https://doi.org/10.3390/technologies11020040
Available online: https://www.mdpi.com/2227-7080/11/2/40
2. “How to Bell the Cat? A Theoretical Review of Generative Artificial Intelligence towards Digital Disruption in All Walks of Life”
by Subhra Mondal, Subhankar Das and Vasiliki G. Vrana
Technologies 2023, 11(2), 44; https://doi.org/10.3390/technologies11020044
Available online: https://www.mdpi.com/2227-7080/11/2/44
3. “Developments and Applications of Artificial Intelligence in Music Education”
by Xiaofei Yu, Ning Ma, Lei Zheng, Licheng Wang and Kai Wang
Technologies 2023, 11(2), 42; https://doi.org/10.3390/technologies11020042
Available online: https://www.mdpi.com/2227-7080/11/2/42
4. “Challenges of Using the L-Band and S-Band for Direct-to-Cellular Satellite 5G-6G NTN Systems”
by Alexander Pastukh, Valery Tikhvinskiy, Svetlana Dymkova and Oleg Varlamov
Technologies 2023, 11(4), 110; https://doi.org/10.3390/technologies11040110
Available online: https://www.mdpi.com/2227-7080/11/4/110
5. “Utilization of Artificial Neural Networks for Precise Electrical Load Prediction”
by Christos Pavlatos, Evangelos Makris, Georgios Fotis, Vasiliki Vita and Valeri Mladenov
Technologies 2023, 11(3), 70; https://doi.org/10.3390/technologies11030070
Available online: https://www.mdpi.com/2227-7080/11/3/70
6. “An Efficient Hybrid CNN Classification Model for Tomato Crop Disease”
by Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris and Minas Dasygenis
Technologies 2023, 11(1), 10; https://doi.org/10.3390/technologies11010010
Available online: https://www.mdpi.com/2227-7080/11/1/10
7. “A Survey of Advancements in Real-Time Sign Language Translators: Integration with IoT Technology”
by Maria Papatsimouli, Panos Sarigiannidis and George F. Fragulis
Technologies 2023, 11(4), 83; https://doi.org/10.3390/technologies11040083
Available online: https://www.mdpi.com/2227-7080/11/4/83
8. “PHB/PEG Nanofiber Mat Obtained by Electrospinning and Their Performances”
by Nguyen Hong Thanh, Roman Olekhnovich, Vera Sitnikova, Arina Kremleva, Petr Snetkov and Mayya Uspenskaya
Technologies 2023, 11(2), 48; https://doi.org/10.3390/technologies11020048
Available online: https://www.mdpi.com/2227-7080/11/2/48
9. “Matching Assistive Technology, Telerehabilitation, and Virtual Reality to Promote Cognitive Rehabilitation and Communication Skills in Neurological Populations: A Perspective Proposal”
by Fabrizio Stasolla, Antonella Lopez, Khalida Akbar, Leonarda Anna Vinci and Maria Cusano
Technologies 2023, 11(2), 43; https://doi.org/10.3390/technologies11020043
Available online: https://www.mdpi.com/2227-7080/11/2/43
10. “Advancements in Doping Strategies for Enhanced Photocatalysts and Adsorbents in Environmental Remediation”
by Pramita Sen, Praneel Bhattacharya, Gargi Mukherjee, Jumasri Ganguly, Berochan Marik, Devyani Thapliyal, Sarojini Verma, George D. Verros, Manvendra Singh Chauhan and Raj Kumar Arya
Technologies 2023, 11(5), 144; https://doi.org/10.3390/technologies11050144
Available online: https://www.mdpi.com/2227-7080/11/5/144
11. “Examination of Polymer Blends by AFM Phase Images”
by Enrico Werner, Uwe Güth, Bennet Brockhagen, Christoph Döpke and Andrea Ehrmann
Technologies 2023, 11(2), 56; https://doi.org/10.3390/technologies11020056
Available online: https://www.mdpi.com/2227-7080/11/2/56
12. “Recent Advances in Si-Compatible Nanostructured Photodetectors”
by Rahaf Douhan, Kirill Lozovoy, Andrey Kokhanenko, Hazem Deeb, Vladimir Dirko and Kristina Khomyakova
Technologies 2023, 11(1), 17; https://doi.org/10.3390/technologies11010017
Available online: https://www.mdpi.com/2227-7080/11/1/17
13. “Recent Technological Progress of Fiber-Optical Sensors for Bio-Mechatronics Applications”
by Mohomad Aqeel Abdhul Rahuman, Nipun Shantha Kahatapitiya, Viraj Niroshan Amarakoon, Udaya Wijenayake, Bhagya Nathali Silva, Mansik Jeon, Jeehyun Kim, Naresh Kumar Ravichandran, and Ruchire Eranga Wijesinghe
Technologies 2023, 11(6), 157; https://doi.org/10.3390/technologies11060157
Available online: https://www.mdpi.com/2227-7080/11/6/157
14. “Modernizing the Legacy Healthcare System to Decentralize Platform Using Blockchain Technology”
by Abdulaziz Aljaloud and Abdul Razzaq
Technologies 2023, 11(4), 84; https://doi.org/10.3390/technologies11040084
Available online: https://www.mdpi.com/2227-7080/11/4/84
15. “Optimizing EMG Classification through Metaheuristic Algorithms”
by Marcos Aviles, Juvenal Rodríguez-Reséndiz and Danjela Ibrahimi
Technologies 2023, 11(4), 87; https://doi.org/10.3390/technologies11040087
Available online: https://www.mdpi.com/2227-7080/11/4/87
16. “Synthesis of Quadband mm-Wave Microstrip Antenna Using Genetic Algorithm for Wireless Application”
by Arebu Dejen, Jeevani Jayasinghe, Murad Ridwan and Jaume Anguera
Technologies 2023, 11(1), 14; https://doi.org/10.3390/technologies11010014
Available online: https://www.mdpi.com/2227-7080/11/1/14
17. “A Layer-Wise Coupled Thermo-Elastic Shell Model for Three-Dimensional Stress Analysis of Functionally Graded Material Structures”
by Salvatore Brischetto, Domenico Cesare and Roberto Torre
Technologies 2023, 11(2), 35; https://doi.org/10.3390/technologies11020035
Available online: https://www.mdpi.com/2227-7080/11/2/35
18. “An Advanced Decision Tree-Based Deep Neural Network in Nonlinear Data Classification”
by Mohammad Arifuzzaman, Md. Rakibul Hasan, Tasnia Jahan Toma, Samia Binta Hassan and Anup Kumar Paul
Technologies 2023, 11(1), 24; https://doi.org/10.3390/technologies11010024
Available online: https://www.mdpi.com/2227-7080/11/1/24
19. “Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis”
by Mehdi Imani and Hamid Reza Arabnia
Technologies 2023, 11(6), 167; https://doi.org/10.3390/technologies11060167
Available online: https://www.mdpi.com/2227-7080/11/6/167
20. “A Gas Leakage Detection Device Based on the Technology of TinyML”
by Vasileios Tsoukas, Anargyros Gkogkidis, Eleni Boumpa, Stefanos Papafotikas and Athanasios Kakarountas
Technologies 2023, 11(2), 45; https://doi.org/10.3390/technologies11020045
Available online: https://www.mdpi.com/2227-7080/11/2/45