Results 171 to 180 of about 1,221,513 (328)
ABSTRACT Despite its economic importance, the textile industry is one of the most polluting sectors. This study addresses the critical gap in understanding sustainable decision‐making in textile SMEs, where decision processes often remain informal and lack structured frameworks.
Israel Naranjo+2 more
wiley +1 more source
Can Sustainability Disclosure Affect Crowdfunding Success?
ABSTRACT Sustainability has emerged as a critical element in entrepreneurial finance, yet its role in reward‐based crowdfunding (RBC) remains underexplored. Existing studies on sustainability and crowdfunding primarily focus on equity‐based models, specific project types, or single‐country analyses, leading to mixed findings and limited ...
Simona Barone
wiley +1 more source
Semantic Segmentation Tree for image content representation
Ruba O. Al-Haj, Zaher Al Aghbari
openalex +1 more source
ABSTRACT This study focuses on product placement and examines its effectiveness in 360° video, considering its role as a digital asset. It is the first to research the influences of perceived control and presence in 360° video on consumers' cognitive, affective, and conative responses under two different immersion conditions (a 2D computer monitor vs ...
Jani Pavlič+2 more
wiley +1 more source
LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction
A landslide inventory is essential for numerous applications, including disaster prevention and mitigation. The emergence of advanced satellite technologies and the proliferation of extensive satellite imagery have greatly enhanced the role of deep ...
Yueheng Yang+4 more
doaj +1 more source
Optical Flow with Semantic Segmentation and Localized Layers [PDF]
Laura Sevilla-Lara+3 more
openalex +1 more source
Abstract The German Research Foundation has established the priority program SPP 100+. Its subject is monitoring bridge structures in civil engineering. The data‐driven methods cluster deals with the use of measurements and their special global and local analysis methods, which complement each other in an overall multi‐scale concept in order to realize
Maximilian Rohrer+13 more
wiley +1 more source
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
Chenxi Zhang, Liang Wang, Ruigang Yang
openalex +1 more source
Practical assessment of masonry tunnel joint segmentation using topological machine learning
Abstract Condition assessment of masonry lined tunnels is time consuming and labor intensive. Recently developed digital workflows enable structural models to be created automatically, reducing analysis time. As part of these procedures, it is important to be able to identify the location of each masonry block.
Jack Smith, Chrysothemis Paraskevopoulou
wiley +1 more source
Segmentation-based multi-class semantic object detection
Rémi Vieux+3 more
openalex +2 more sources