Archives of Computational Methods in Engineering - Top 10 Downloaded Articles 2023
We want to thank the authors of our most-downloaded articles in 2023, and highlight to our readers some of the most impactful research to have been published in the journal. We hope that you will find the articles interesting.
Mental Health Analysis in Social Media Posts: A Survey (this opens in a new tab)
by Muskan Garg
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks (this opens in a new tab)
by Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li & Tariq Mahmood
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives (this opens in a new tab)
by Dimitrios Angelis, Filippos Sofos & Theodoros E. Karakasidis
Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions (this opens in a new tab)
by Yue Pan & Limao Zhang
Self-supervised Learning: A Succinct Review (this opens in a new tab)
by Veenu Rani, Syed Tufael Nabi, Munish Kumar, Ajay Mittal & Krishan Kumar
Advances in Deep Learning Models for Resolving Medical Image Segmentation Data Scarcity Problem: A Topical Review (this opens in a new tab)
by Ashwini Kumar Upadhyay & Ashish Kumar Bhandari
Stiff-PDEs and Physics-Informed Neural Networks (this opens in a new tab)
by Prakhar Sharma, Llion Evans, Michelle Tindall & Perumal Nithiarasu
A Systematic Review of the Whale Optimization Algorithm: Theoretical Foundation, Improvements, and Hybridizations (this opens in a new tab)
by Mohammad H. Nadimi-Shahraki, Hoda Zamani, Zahra Asghari Varzaneh & Seyedali Mirjalili
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art (this opens in a new tab)
by Lukas Westhofen, Christian Neurohr, Tjark Koopmann, Martin Butz, Barbara Schütt, Fabian Utesch, Birte Neurohr, Christian Gutenkunst & Eckard Böde
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges (this opens in a new tab)
by Sukhpreet Kaur, Yogesh Kumar, Apeksha Koul & Sushil Kumar Kamboj