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From Text to Value: Measuring and Pricing Firm Climate Risk Exposure
ABSTRACT We examine how the prominence and tone of climate risk disclosures affect firm value and strategic climate positioning for large European nonfinancial companies. We developed a firm‐level climate risk exposure (CRE) index that assesses climate risks within corporate narratives across four EU categories: transition risk, physical risk ...
Stefano Dell'Atti +2 more
wiley +1 more source
CGDFNet: a dual-branch real-time semantic segmentation network with context-guided detail fusion. [PDF]
Zhao S, Fu W, Gao J, Zhang F, Huo Z.
europepmc +1 more source
ABSTRACT Despite growing interest in corporate relocation decisions and sustainability, the existing literature is limited in its consumer‐centric approach. Integrating social exchange theory and construal level theory, this research investigates how consumers perceive sustainability‐driven nearshoring motives (i.e., socio‐economic vs.
Cagla Dayangan +2 more
wiley +1 more source
Dynamic background motion object semantic segmentation algorithm based on generative adversarial network and transformer collaboration. [PDF]
Li Y +10 more
europepmc +1 more source
Defining Remanufacturing: A Key Business Strategy Advancing Industrial Circularity
ABSTRACT Remanufacturing is a key strategy in the circular economy, enabling substantial product value retention. However, inconsistent definitions across standards and legislation hinder global trade, core recovery and market acceptance. This study examines how remanufacturing is defined in laws and standards, and how these definitions impact industry
Erik Sundin +2 more
wiley +1 more source
ABSTRACT Over the past decades, sustainability has emerged as a defining global priority, reshaping firms' role in driving systemic change. In this context, corporate purpose has gained renewed prominence as a key mechanism to align organizational priorities with broader societal commitments.
Lucia Barra +2 more
wiley +1 more source
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A Survey on Semantic Segmentation
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018Semantic Segmentation is a computer vision task for predicting the pixel labels corresponding to its belonging region or enclosing region area. It is an important part in many CV tasks and plays a significant role in machine learning. Semantic segmentation is aim at understanding special object class in the scene. In the paper, we will give a survey of
Biao Li 0005 +3 more
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Semantic Customers’ Segmentation
2019Many approaches have been proposed to allow customers’ segmentation in retail sector. However, very few contributions exploit the existing semantics links that may exist between objects and resulting groups. The aim of this paper is to overcome this drawback by using semantic similarity measures (SSM) in customers’ segmentation to provide clusters ...
Jocelyn Poncelet +3 more
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Knowledge Reasoning for Semantic Segmentation
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021The convolution operation suffers from a limited receptive field, while global modeling is fundamental to dense prediction tasks, such as semantic segmentation. However, most existing methods treat the recognition of each region separately and overlook crucial global semantic relations between regions in one scene.
Shengjia Chen +2 more
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Semantic Segmentation without Annotating Segments
2013 IEEE International Conference on Computer Vision, 2013Numerous existing object segmentation frameworks commonly utilize the object bounding box as a prior. In this paper, we address semantic segmentation assuming that object bounding boxes are provided by object detectors, but no training data with annotated segments are available.
Wei Xia +4 more
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