Accurate crop mapping is of great significance for crop yield forecasting, agricultural
productivity development and agricultural management. Thanks to its all-time and all …

Estimating the subsurface impedance properties is an essential process in seismic
exploration and reservoir characterization. The accuracy and efficiency of impedance …

Deep neural networks have made tremendous gains in emulating human-like intelligence,
and have been used increasingly as ways of understanding how the brain may solve the …

Deep neural networks have made tremendous gains in emulating human-like intelligence,
and have been used increasingly as ways of understanding how the brain may solve the …

Crowd simulation is a challenging problem, aiming to generate realistic pedestrians motions
in virtual environment. Nowadays, ORCA is a widely used simulation algorithm in practice …

2.1 Overview 2.2 Encoder and Decoder 2.3 Embedding Algorithm 2.4 Positional Encoding
2.5 Self-Attention 2.6 Attention Heads and Multi-Heads 2.7 Reasons for Using the Attention …

Time-series data are prevalent across various fields and present unique challenges for deep
learning models due to irregular time intervals and missing records, which hinder the ability …

Future surveys such as the Legacy Survey of Space and Time (LSST) of the Vera C. Rubin
Observatory will observe an order of magnitude more astrophysical transient events than …

Transformer design, which recently emerged as the most promising solution for Natural
Language Processing (NLP) tasks, is now state-of-the-art for these tasks. However, since …

The absence or limited availability of operational statistics at general aviation airports
restricts airport managers and operators from assessing comprehensive operational data …