The growth of the Machine-Learning-As-A-Service (MLaaS) market has
highl...
Retail sales forecasting presents a significant challenge for large reta...
This paper presents a hidden Markov model designed to investigate the co...
Event extraction aims to recognize pre-defined event triggers and argume...
As a type of valuable intellectual property (IP), deep neural network (D...
In this paper, we present a transformer architecture for predicting stud...
Nowadays, autonomous vehicle technology is becoming more and more mature...
Efficient and effective exploration in continuous space is a central pro...
Malicious architecture extraction has been emerging as a crucial concern...
With the development of AIoT, data-driven attack detection methods for
c...
Multivariate time series prediction has attracted a lot of attention bec...
This paper presents a search-based partial motion planner to generate
dy...
Online state-time trajectory planning in highly dynamic environments rem...
High-fidelity face completion is a challenging task due to the rich and
...