An Artificial Intelligence-Based Data-Driven Method for Predicting Soil Shear Strength
Semachew Molla Kassa(Wachemo University), Grzegorz Kacprzak(Warsaw University of Technology), Betelhem Zewdu Wubineh(Wrocław University of Science and Technology)
Cited by 1
Related Papers
Exploring the opportunities and challenges of implementing artificial intelligence in healthcare: A systematic literature review
|Urologic Oncology Seminars and Original Investigations|2023|119
Use of Machine Learning to Predict California Bearing Ratio of Soils
|Advances in Civil Engineering|2023|36
Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review
|IEEE Access|2024|29
Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture
|Neural Computing and Applications|2024|25
Data Augmentation Techniques to Detect Cervical Cancer Using Deep Learning: A Systematic Review
|Lecture notes in networks and systems|2024|14