People benefit from the existence of forage fish through a wide range of uses, both direct
and indirect. However, due to lack of data and gaps in existing research, the commercial …

Identifying the maritime activities of vessels over time is crucial for enhancing maritime traffic
management and marine ecosystem conservation, by facilitating informed decision-making …

Heterophily has been considered as an issue that hurts the performance of Graph Neural
Networks (GNNs). To address this issue, some existing work uses a graph-level weighted …

Graph Neural Networks (GNNs) have shown superior performance in node classification.
However, GNNs perform poorly in the Few-Shot Node Classification (FSNC) task that requires …

Oligo(2,5-thienylenevinylene)s (OTVs) end-functionalized with a ligated ruthenium alkynyl
unit as a donor and a nitro as acceptor, namely trans-[Ru{Ctriple bondC-2,5-C 4 H 2 S(NO 2 )}…

The control of multi-fingered dexterous prosthetics hand remains challenging due to the lack
of an intuitive and efficient Grasp-type Switching Interface (GSI). We propose a new GSI (i-…

Controlling multi-grasp prosthetic hands remains challenging due to the lack of an intuitive
and efficient interface for enabling a suitable grasping pattern. To solve this problem, we …

In this paper, we propose a novel generative model that utilizes a conditional Energy-Based
Model (EBM) for enhancing Variational Autoencoder (VAE), termed Energy-Calibrated VAE (…

As the carbon cycle balance is broken due to excessive CO 2 emission, there is an urgent
need to develop and implement a sustainable carbon–neutral economy. Among them, …

With the rapid growth of green energy and customer-side intermittent loads, dealing with the
uncertainty and variability of the energy internet has become an urgent problem. In addition, …