Summary of Deep Learning For Melt Pool Depth Contour Prediction From Surface Thermal Images Via Vision Transformers, by Francis Ogoke et al.
Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformersby…
Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformersby…
MCSDNet: Mesoscale Convective System Detection Network via Multi-scale Spatiotemporal Informationby Jiajun Liang, Baoquan Zhang, Yunming…
Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Predictionby Tahrima…
Vision Transformer-based Adversarial Domain Adaptationby Yahan Li, Yuan WuFirst submitted to arxiv on: 24 Apr…
OpTC – A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollersby Christian Heidorn,…
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitchesby Yi Li, Yunan…
Deep Models for Multi-View 3D Object Recognition: A Reviewby Mona Alzahrani, Muhammad Usman, Salma Kammoun,…
A Learning Paradigm for Interpretable Gradientsby Felipe Torres Figueroa, Hanwei Zhang, Ronan Sicre, Yannis Avrithis,…
Using ARIMA to Predict the Expansion of Subscriber Data Consumptionby Mike Wa NkongoloFirst submitted to…
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asiaby…