Image segmentation is an important step in bridging the semantic gap between low level
image interpretation and high level information extraction. Many image segmentation …

Many algorithms have been developed for image classification and support vector machine (SVM)
is a kind of supervised classification that has been widely used recently. However, the …

In practical cable early fault diagnosis, each fault data is isolated by" data island", which makes
it difficult to conduct centralized deep training. At the same time, the Non-IID data held by …

This volume constitutes the refereed proceedings of the Second International Conference
on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2014, …

We propose a novel high performance computing (HPC) network architecture $\mathrm {HFOS}_{L}$
based on $L$ parallel levels distributed low radix fast optical switches (FOS). We …

Background and Objectives Cigarette smoking has been reported as an independent risk
factor for periodontitis. Tobacco toxins affect periodontal tissue not only locally but also …

Purpose: In order to overcome the problem that conventional pharmacological treatments of
periodontitis cannot effectively synergizing antimicrobial and immunomodulation, inspired …

The synthesis of monodisperse mesoporous carbon nanospheres (MCNs) with diameters
less than 500 nm from polymeric nanoparticle precursors remains challenging due to the …

The dense video captioning task aims to detect and describe a sequence of events in a
video for detailed and coherent storytelling. Previous works mainly adopt a" detect-then-describe…

The synthesis of nitrogen-doped dual-mesoporous carbon nanospheres (N-DMCNs) with
tunable sizes remains a great challenge due to the high cross-linking rate of carbon precursors …