Results 271 to 280 of about 1,281,795 (323)

Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete

Construction and Building Materials, 2021
Steel fiber-reinforced concrete (SFRC) has a performance superior to that of normal concrete because of the addition of discontinuous fibers. The development of strengths prediction technique of SFRC is, however, still in its infancy compared to that of ...
Min-Chang Kang, Dooyeol Yoo, Rishi Gupta
semanticscholar   +1 more source

Compression therapy

Journal of the European Academy of Dermatology and Venereology, 1998
Compression therapy is the standard care for venous insufficiency ulcers. It reverses some of the underlying pathologies and restores a functional calf pump unit.To review the pathophysiology of venous ulcers and the different types of compression devices available.The choice of a compression device should be individualized and tailored to the need of ...
M, Choucair, T J, Phillips
openaire   +4 more sources

ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Compressive sensing (CS) is an effective technique for reconstructing image from a small amount of sampled data. It has been widely applied in medical imaging, remote sensing, image compression, etc. In this paper, we propose two versions of a novel deep
Yan Yang, Jian Sun, Huibin Li, Zongben Xu   +3 more
semanticscholar   +1 more source

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

Construction and Building Materials, 2020
In this paper, an intelligent approach based on the machine learning technique is proposed for predicting the compressive strength of concrete. This approach employs the adaptive boosting algorithm to construct a strong learner by integrating several ...
D. Feng, Zhen-Tao Liu, Xiao-Dan Wang, Yin Chen, Jianbo Chang, Dongmei Wei, Zhong-Ming Jiang   +6 more
semanticscholar   +1 more source

Single-pixel imaging via compressive sampling

IEEE Signal Processing Magazine, 2008
In this article, the authors present a new approach to building simpler, smaller, and cheaper digital cameras that can operate efficiently across a broader spectral range than conventional silicon-based cameras.
Marco F. Duarte, M. Davenport, D. Takhar, J. Laska, Ting Sun, K. Kelly, Richard Baraniuk   +6 more
semanticscholar   +1 more source

High compression ratio image compression

1993 IEEE International Symposium on Circuits and Systems, 2002
An image compression method is proposed. It makes use of the wavelet transform (WT) with better frequency localization and the adaptive hierarchical vector quantization (AHVQ) technique. The WT provides a multifrequency channel representation for the image from which proper coding methods can be drawn.
null Sheng Zhong, null Qing-yun Shi, null Min-Teh Cheng   +2 more
openaire   +1 more source

Lossy Image Compression with Compressive Autoencoders

International Conference on Learning Representations, 2017
We propose a new approach to the problem of optimizing autoencoders for lossy image compression. New media formats, changing hardware technology, as well as diverse requirements and content types create a need for compression algorithms which are more ...
Lucas Theis, Wenzhe Shi, A. Cunningham, Ferenc Huszár   +3 more
semanticscholar   +1 more source