Presents and verifies a surface contact approximation derived from the thin shell approximation for efficient magneto-thermal FEA of no-insulation HTS coils, showing robustness advantages over thickness-dependent TSA in pancake coil simulations.
IEEE Transactions on Pattern Analysis and Machine Intelligence 45(1):1217--1232
2 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 2representative citing papers
A literature review that categorizes deep learning approaches for visual hand gesture recognition, summarizes state-of-the-art methods across tasks, reviews datasets and metrics, and identifies challenges and future directions.
citing papers explorer
-
Surface Contact Approximation for Magneto-Thermal Finite Element Analysis of No-Insulation HTS Coils
Presents and verifies a surface contact approximation derived from the thin shell approximation for efficient magneto-thermal FEA of no-insulation HTS coils, showing robustness advantages over thickness-dependent TSA in pancake coil simulations.
-
Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions
A literature review that categorizes deep learning approaches for visual hand gesture recognition, summarizes state-of-the-art methods across tasks, reviews datasets and metrics, and identifies challenges and future directions.