Results 211 to 220 of about 822,981 (308)
A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval. [PDF]
Pan M+4 more
europepmc +1 more source
EMFSA: Emoji-based multifeature fusion sentiment analysis. [PDF]
Tang H+5 more
europepmc +1 more source
Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example. [PDF]
Zhu H, Shuhuai L.
europepmc +1 more source
Efficient skyline query processing with user-specified conditional preference. [PDF]
Ke S, Fu X, Li J.
europepmc +1 more source
Disclosure Dynamism: TCFD Aligned Climate Claims of UK Corporates
ABSTRACT This research examines how climate claims by companies from the United Kingdom have changed over the years, especially when they became certain about the mandate of the Taskforce on Climate‐related Financial Disclosure (TCFD). We use text data from FTSE 100 companies for eight consecutive years, starting from 2016, and apply the robust ...
Daniel González Cortés+3 more
wiley +1 more source
Monocular Object-Level SLAM Enhanced by Joint Semantic Segmentation and Depth Estimation. [PDF]
Gao R, Qi Y.
europepmc +1 more source
ABSTRACT Modern society grapples with socio‐environmental challenges such as pandemics, climate change, resource depletion, and poverty alleviation. Recent research underscores the crucial role of intermediaries in expediting the shift towards sustainability management. This study examines how intermediaries influence sociotechnical transitions towards
Rodrigo Cortopassi Goron Lobo+3 more
wiley +1 more source
MSSA: multi-stage semantic-aware neural network for binary code similarity detection. [PDF]
Wan B, Zhou J, Wang Y, Chen F, Qian Y.
europepmc +1 more source
Do Not Stop the Loop: Driving Circular Textiles With Technology and Stakeholder Engagement
ABSTRACT We investigate critical factors enabling the successful implementation of circular ecosystems in the textile industry, with a focus on the interplay between technology and stakeholder engagement. A qualitative approach, involving 35 interviews with managers across 11 Italian SMEs in both B2B and B2C textile segments, was employed.
Chiara Civera+2 more
wiley +1 more source