Results 241 to 250 of about 147,704 (285)
Off-Road Autonomous Vehicle Semantic Segmentation and Spatial Overlay Video Assembly. [PDF]
Dror I, Aviv O, Hadar O.
europepmc +1 more source
ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley +1 more source
Convpaint-Interactive pixel classification using pretrained neural networks. [PDF]
Hinderling L +9 more
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From Waste to Value: A Bibliometric‐Systematic Review of Biogas and Biomethane Business Literature
ABSTRACT In response to escalating environmental challenges and the growing demand for sustainable energy solutions, the agri‐food sector is increasingly exploring business models grounded in circular economy (CE) principles based on the production of biogas and biomethane.
Silvia Cantele +3 more
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ABSTRACT Sustainable innovations are increasingly recognized as promising avenues for businesses to tackle global sustainability challenges, expected to deliver ecological, social, and economic benefits. Yet social outcomes at the individual level remain underexplored, raising questions about whether such innovations fully realize their sustainability ...
Lisa Hollands +3 more
wiley +1 more source
Pixel-level understanding of a world in motion within a neural encoding framework. [PDF]
Gamal M +4 more
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Dynamic background motion object semantic segmentation algorithm based on generative adversarial network and transformer collaboration. [PDF]
Li Y +10 more
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FSD-YOLO: A Fusion Framework for Region Segmentation and Deformable Object Detection in Container Yards. [PDF]
Dai L, Liang Z, Feng Q, Xie S, Li H.
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Semantic Segmentation For Aerial Images
International Journal of Research Publication and ReviewsSemantic segmentation of aerial imagery plays a critical role in modern urban planning, environmental monitoring, and the development of smart cities. This project presents an interactive webbased application that performs semantic segmentation on high-resolution aerial images using a deep learning-based U-Net model.
Dr. B. Harika, M. Bharath, K. Himneesh
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Semantic Segmentation on Multi-Spectral Images
2021 29th Signal Processing and Communications Applications Conference (SIU), 2021Semantic segmentation is considered to be one of the basic steps in understanding image content. For semantic segmentation, if multi-spectral images are used together with color images, more successful results are obtained due to complementary information obtained from multi-spectral images.
Elmacı, Mehmet +2 more
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