Results 251 to 260 of about 69,920 (312)
This work proposes MDSC, an unsupervised low‐light enhancement framework integrating three core innovations: detail‐aware smoothing, multipath decomposition, and synergistic correction. It suppresses noise, handles rapid illumination variations, and prevents reflectance‐contrast amplification inherent to Retinex separation.
Yong Cheng +6 more
wiley +1 more source
Semantics and syntax effects on event-related fields during speech comprehension: a MEG study. [PDF]
Zhozhikashvili N +3 more
europepmc +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Semantic clause retrieval for trademark law using transformer encoders and lexical baselines: a cross-domain agri-robotics compliance case study. [PDF]
Asfand E Yar M +4 more
europepmc +1 more source
Research on the semantic segmentation of Thangka images via an improved PIDNet. [PDF]
Wu J +5 more
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Distinct roles of central and peripheral vision in rapid scene understanding. [PDF]
Johnson BA +4 more
europepmc +1 more source
iLDA-SGCN: Identifying Associations Between Age-Related Diseases and Long Non-Coding RNAs Using Dual Graph Convolutional Networks. [PDF]
Guo Y +8 more
europepmc +1 more source
HSG-ON: Hierarchical Scene Graph-Based Object Navigation. [PDF]
Kwon S, Jang HD, Chang DE.
europepmc +1 more source
Scenario-Driven Synthetic Data Generation Framework for Visual Perception Evaluation Under Adverse Driving Conditions. [PDF]
Xu W, Gruyer D, Duminil A, Ieng SS.
europepmc +1 more source
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2014 22nd International Conference on Pattern Recognition, 2014
A novel region based 3D semantic mapping method is proposed for urban scenes. The proposed Semantic Urban Maps (SUM) method labels the regions of segmented images into a set of geometric and semant ...
J. Rafid Siddiqui, Siamak Khatibi
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A novel region based 3D semantic mapping method is proposed for urban scenes. The proposed Semantic Urban Maps (SUM) method labels the regions of segmented images into a set of geometric and semant ...
J. Rafid Siddiqui, Siamak Khatibi
openaire +1 more source

