Nonparametric transformation models (NTMs) have sparked much interest in...
Recent years have witnessed an exponential growth in developing deep lea...
This work focuses on an efficient Agile design methodology for
domain-sp...
Concise and abstract models of system-level behaviors are invaluable in
...
In this paper, we survey state-of-the-art research outcomes in the burge...
To improve the efficiency of deep reinforcement learning (DRL) based met...
Reconfigurable Intelligent Surface (RIS) has emerged as one of the key
t...
With the growing dependence on wind power generation, improving the accu...
Comprehensive and well-defined specifications are necessary to perform
r...
Reconstructing system-level behavior from silicon traces is a critical
p...
Comprehensive specifications are essential for various activities across...
At present, most high-accuracy single-person pose estimation methods hav...
Multivariate functional data has received considerable attention but tes...
Mobile network that millions of people use every day is one of the most
...
Since the first online demonstration of Neural Machine Translation (NMT)...