Results 31 to 40 of about 20,298 (224)

Traffic Lane Detection using FCN

open access: yesCoRR, 2020
Automatic lane detection is a crucial technology that enables self-driving cars to properly position themselves in a multi-lane urban driving environments. However, detecting diverse road markings in various weather conditions is a challenging task for conventional image processing or computer vision techniques. In recent years, the application of Deep
Shengchang Zhang   +2 more
openaire   +2 more sources

Sustainability performance of rural municipalities in Germany

open access: yesEnergy, Sustainability and Society, 2023
Background Sustainable rural development entails efforts to enhance the well-being of rural communities while safeguarding natural resources for future generations.
Mahdi Karami, Reinhard Madlener
doaj   +1 more source

Ficolin B secreted by alveolar macrophage exosomes exacerbates bleomycin-induced lung injury via ferroptosis through the cGAS-STING signaling pathway

open access: yesCell Death and Disease, 2023
Pathogenesis exploration and timely intervention of lung injury is quite necessary as it has harmed human health worldwide for years. Ficolin B (Fcn B) is a recognition molecule that can recognize a variety of ligands and play an important role in ...
Xu Wu   +7 more
doaj   +1 more source

Generating Transparency in the Worldwide Use of the Terminology Industry 4.0

open access: yesApplied Sciences, 2019
In 2011, the concept of Industry 4.0 was introduced and later adopted by the German government, paving the way for a new industrial revolution in Germany. The high significance of this topic is reflected by the large number of corresponding publications.
Lars Nolting   +7 more
doaj   +1 more source

Remote Sensing Image Semantic Segmentation Based on Edge Information Guidance

open access: yesRemote Sensing, 2020
Semantic segmentation is an important field for automatic processing of remote sensing image data. Existing algorithms based on Convolution Neural Network (CNN) have made rapid progress, especially the Fully Convolution Network (FCN).
Chu He   +4 more
doaj   +1 more source

Indoor scene texturing based on single mobile phone images and 3D model fusion

open access: yesInternational Journal of Digital Earth, 2019
Realistic texture mapping and coherent up-to-date rendering is one of the most important issues in indoor 3-D modelling. However, existing texturing approaches are usually performed manually during the modelling process, and cannot accommodate changes in
Hanjiang Xiong   +4 more
doaj   +1 more source

Fangchinoline diminishes STAT3 activation by stimulating oxidative stress and targeting SHP-1 protein in multiple myeloma model

open access: yesJournal of Advanced Research, 2022
Introduction: The development of cancer generally occurs as a result of various deregulated molecular mechanisms affecting the genes that can control normal cellular growth.
Young Yun Jung   +4 more
doaj   +1 more source

Fault Detection Based on Fully Convolutional Networks (FCN)

open access: yes, 2021
It is of great significance to detect faults correctly in continental sandstone reservoirs in the east of China to understand the distribution of remaining structural reservoirs for more efficient development operation.
Qianqian Yang   +4 more
core   +1 more source

FCN-VGG16 network with skip architecture.

open access: yes, 2018
FCN-VGG16 network with skip architecture.
Lei Zhang (38117)   +5 more
core   +1 more source

PS-FCN: a flexible learning framework for photometric stereo [PDF]

open access: yes, 2018
This paper addresses the problem of photometric stereo for non-Lambertian surfaces. Existing approaches often adopt simplified reflectance models to make the problem more tractable, but this greatly hinders their applications on real-world objects.
Han, K   +7 more
core   +1 more source

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