Remote sensing image caption generation via transformer and reinforcement learning

X Shen, B Liu, Y Zhou, J Zhao - Multimedia Tools and Applications, 2020 - Springer
Image captioning is a task generating the natural semantic description of the given image,
which plays an essential role for machines to understand the content of the image. Remote …

Economic growth, industrial structure and nitrogen oxide emissions reduction and prediction in China

Y Yu, H Liu - Atmospheric Pollution Research, 2020 - Elsevier
This paper empirically investigates the impact of economic growth and industrial structure on
China's Nitrogen Oxides (NO x) emissions reduction in a comprehensive Kaya-PLS …

Numerical study of a high-hydrogen micromix model burner using flamelet-generated manifold

X Liu, W Shao, C Liu, X Bi, Y Liu, Y Xiao - International Journal of Hydrogen …, 2021 - Elsevier
The flamelet-generated manifolds (FGM) method was adopted in this study to consider the
preferential diffusion in a high-hydrogen micro-mixing model burner. That is, when solving …

An effective approach to the two-dimensional rectangular packing problem in the manufacturing industry

H Fırat, N Alpaslan - Computers & Industrial Engineering, 2020 - Elsevier
The rectangle packing area minimization problem (RPAMP) has a wide range of
applications in industry. The purpose of RPAMP is to ensure maximum use of the materials …

Svm for human identification using the ECG signal

S Hamza, YB Ayed - Procedia computer science, 2020 - Elsevier
In this paper, a person identification system has been simulated using electrocardiogram
(ECG) signals as biometrics. In this work, we propose a two-phase method to conduct …

Multimodal biometric systems based on different fusion levels of ECG and fingerprint using different classifiers

SA El_Rahman - Soft Computing, 2020 - Springer
Multimodal biometric system can be accomplished at different levels of fusion and achieve
higher recognition performance than the unimodal system. This paper concerned to study …

Forecasting bus passenger flows by using a clustering-based support vector regression approach

C Li, X Wang, Z Cheng, Y Bai - Ieee Access, 2020 - ieeexplore.ieee.org
As a significant component of the intelligent transportation system, forecasting bus
passenger flows plays a key role in resource allocation, network planning, and frequency …

LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery

Y Zhang, Y Liu, Q Li, R Jin, C Wen - Neurocomputing, 2020 - Elsevier
Community is an important feature of complex networks. Many label propagation based
algorithms are proposed to detect communities in networks because of their high efficiency …

A test of using markov-switching GARCH models in oil and natural gas trading

OV De la Torre-Torres, E Galeana-Figueroa… - Energies, 2019 - mdpi.com
In this paper, we test the use of Markov-switching (MS) GARCH (MSGARCH) models for
trading either oil or natural gas futures. Using weekly data from 7 January 1994 to 31 May …

A novel fractional-order neural network for model reduction of large-scale systems with fractional-order nonlinear structure

H Jahanbakhti - Soft Computing, 2020 - Springer
In this paper, a new method for reducing the order of nonlinear large-scale fractional-order
systems is presented. The considered system has a nonlinear large-scale dynamic. The …