Results 241 to 250 of about 147,704 (285)

Autonomous Leadership: How Board Independence Shapes Machine Learning Based Corporate Culture in Thailand

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
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]

open access: yesCell Rep Methods
Hinderling L   +9 more
europepmc   +1 more source

From Waste to Value: A Bibliometric‐Systematic Review of Biogas and Biomethane Business Literature

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
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
wiley   +1 more source

Developing Sustainable Innovations for Planet, Profits—And People: Mixed‐Methods Insights From the Textile Industry

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
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

Semantic Segmentation For Aerial Images

International Journal of Research Publication and Reviews
Semantic 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
openaire   +1 more source

Semantic Segmentation on Multi-Spectral Images

2021 29th Signal Processing and Communications Applications Conference (SIU), 2021
Semantic 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
openaire   +2 more sources

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