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Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network
This paper explores the use of Multi-channel CNN for the classification task, which aims to extract features from different channels in an end-to-end manner, and explores the using of mixup method, which can provide higher prediction accuracy and robustness in contrast with previous models.
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
A novel approach to knowledge graph completion where the KG is fully encoded into a GNN in a transparent way, and where the predicted triples can be read out directly from the last layer of the GNN without the need for additional components or scoring functions is proposed.
Biological evaluation of layered double hydroxides as efficient drug vehicles
It is demonstrated that nano-LDH could be applied as a relatively safe drug vehicle with good delivery activity, but with the caveat that the effects of high dosages observed here should not be ignored when attempting to maximize therapeutic activity by increasing LDH concentration.
Deep Learning based Framework for Automatic Damage Detection in Aircraft Engine Borescope Inspection
- Zejiang Shen, Xili Wan, Feng Ye, Xinjie Guan, S. Liu
- Computer ScienceInternational Conference on Computing, Networking…
- 1 February 2019
A deep learning based framework is proposed which utilizes the state-of-the-art algorithm called Fully Convolutional Networks (FCN) to identify and locate damages from borescope images to identify two major types of damages, namely crack and burn.
A model for gas—solid stratified flow in horizontal dense-phase pneumatic conveying
Effect of different CaSO 4 contents on CaSiO 3 ‐CaSO 4 porous composite bone scaffolds by 3D gel‐printing
Investigations on Field Distribution along the Earth’s Surface of a Submerged Line Current Source Working at Extremely Low Frequency Band
A numerical analysis on field distribution along the Earth’s surface of a line current source submerged in the ground is conducted in this paper to investigate the potential of the extremely low…
Experimental Study on Lateral Wave Propagation of ELF Electromagnetic in the Mountain Scenario
Recently, great concern has been moved to the extremely low frequency (ELF) electromagnetic waves because of its long propagation distance and cross-media propagation characteristics. Numerous papers…
Chylous leakage after radical neck dissection of thyroid carcinoma: report of five cases and review of literature
This document is intended to assist in the preparation of future wills and constitutions for use in connection with genealogy.
Visual Context Aware Ship Detector for High-Resolution SAR Imagery
- Shigang Wang, Dongsheng Li, S. Liu, Bin Li
- Environmental ScienceIGARSS - IEEE International Geoscience and…
- 26 September 2020
Experimental results show that the proposed approach to mimic the human visual perception mechanism for ship detection from high-resolution SAR imagery is quite robust under different imaging conditions and can correctly detect ship targets in a rapid manner.