An unsupervised classification method for flame image of pulverized coal combustion based on convolutional auto-encoder and hidden Markov model

T Qiu, M Liu, G Zhou, L Wang, K Gao - Energies, 2019 - mdpi.com
Combustion condition monitoring is a fundamental and critical issue that needs to be
addressed in the wide-load operation of coal-fired boilers. In this paper, an unsupervised …

Burning condition recognition of rotary kiln based on spatiotemporal features of flame video

H Chen, T Yan, X Zhang - Energy, 2020 - Elsevier
In the coal-fire industry, recognition of burning condition is vital for combustion control and
optimization as it can provide early warning of abnormal conditions in the combustion …

Combustion state identification of MSWI processes using ViT-IDFC

X Pan, J Tang, H Xia, W Yu, J Qiao - Engineering Applications of Artificial …, 2023 - Elsevier
Municipal solid waste (MSW) incineration processes often experience fluctuations in the
physical and chemical properties of waste materials, leading to unstable combustion and …

A lightweight appearance quality assessment system based on parallel deep learning for painted car body

F Chang, M Dong, M Liu, L Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The appearance quality assessment based on defect inspection for painted car-body
surfaces is an essential work to monitor and analyze the level of paint appearance quality. In …

Truncated Low-Rank and Total p Variation Constrained Color Image Completion and its Moreau Approximation Algorithm

J Zheng, P Yang, X Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, low-rank (LR) and total variation (TV) constrained tensor completion algorithms
have been broadly studied for image restoration. These algorithms, however, ignore the …

Adaptive rank-one matrix completion using sum of outer products

ZY Wang, XP Li, HC So… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Matrix completion refers to recovering a matrix from a small subset of its entries. It is an
important topic because numerous real-world data can be modeled as low-rank matrices …

An efficient unsupervised image quality metric with application for condition recognition in kiln

L Wu, X Zhang, H Chen, Y Zhou, L Wang… - … Applications of Artificial …, 2022 - Elsevier
In this paper, we propose an unsupervised textural-intensity-based natural image quality
evaluator (TI-NIQE) by modelling the texture, structure and naturalness of an image. In …

Image inpainting via Smooth Tucker decomposition and Low-rank Hankel constraint

J Cai, J Jiang, Y Wang, J Zheng… - International Journal of …, 2023 - Taylor & Francis
Image inpainting, aiming at exactly recovering missing pixels from partially observed entries,
is typically an ill-posed problem. As a powerful constraint, low-rank priors have been widely …

Implementation of Computer‐Based Vision Technology to Consider Visual Form of Ceramic Mural Art

D Li, ES Alkathir - Mathematical Problems in Engineering, 2021 - Wiley Online Library
As one of the cultural forms of human beings, ceramic murals transcend the dimension of
time and space and transcend the single cognition of materialism in the sense of purely …

Görüntü İşleme ve Makine Öğrenmesi Yöntemleri ile Baca Gazı Sıcaklığının Tahmin Edilmesi

S Golgiyaz, MF Talu, C Onat - Avrupa Bilim ve Teknoloji Dergisi, 2019 - dergipark.org.tr
Bu makalede, küçük ölçekli fındık kömürü yakıtlı brülörde baca gazı sıcaklığı tahmini ile ilgili
deneysel bir çalışma sunulmaktadır. Baca gazı sıcaklığı yakıt türüne göre belli bir aralıkta …