Results 201 to 210 of about 494,383 (263)

ModelistsGCN: a multimodal graph convolutional network framework for single-cell spatial transcriptomic cell typing. [PDF]

Brief Bioinform
Konforti N, Goldberg T, Danino-Levi M, Ilan Y, Alon S.   +4 more
europepmc   +1 more source

Reconfigurable Au Nanoparticle Monolayers on Regenerated Cellulose Hydrogels: Highly Sensitive SERS Detection of Polystyrene Micro/Nanoplastics With Interpretable Deep Learning

Advanced Functional Materials, EarlyView.
A regenerated cellulose (RC) hydrogel‐based SERS substrate integrating a Marangoni‐transferred gold nanoparticle self‐assembled monolayer (Au‐SAM) is fabricated. Reswelling‐induced hotspot formation enhances polystyrene micro/nanoplastics (PS MNPs) detection in complex matrices, providing reproducible, high‐throughput SERS signals across diverse ...
Youngho Jeon, Yu‐Jin Jeon, Suji Lee, Jeseong Kim, Dae‐Hyun Jung, Jungmok You   +5 more
wiley   +1 more source

TinyAct: A framework for real-time action recognition in the cloud through distillation learning. [PDF]

PLoS One
Wanna Y, Wiratchawa K, Intharah T.
europepmc   +1 more source

The effect of auditory cues on heading direction during stepping-in-place in healthy adults with experimentally induced vestibular asymmetry. [PDF]

Exp Brain Res
Cedras AM, Hullar TE, Gourdou P, Duclos C, Jamal K, Paromov D, Champoux F, Maheu M.   +7 more
europepmc   +1 more source

Debris flow disaster information representation and perception based on knowledge graphs and virtual geographic environments. [PDF]

Sci Rep
Zhang Z, Fu H, Zhang J, Zhang Y, Gu Z.
europepmc   +1 more source

Implicit 3D geological modeling method based on expert knowledge constraints: A case study from the Songshugang Mining District, Hengfeng County, Jiangxi Province, China. [PDF]

PLoS One
Jin W, Wu Z, Xu Z, Li H, Li B, Guo F, Zhang Z, Ma F, Li H, Lu P.   +9 more
europepmc   +1 more source

Structured knowledge representation of the South China Sea: An LLM-based knowledge graph approach. [PDF]

PLoS One
Zhao R, Han Z, Liu H.
europepmc   +1 more source

Spatial Knowledge Models

European Journal of Technology and Design
openaire   +1 more source

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SPATIAL KNOWLEDGE REPRESENTATION

International Journal of Pattern Recognition and Artificial Intelligence, 1989
The use of spatial knowledge is necessary in a variety of artificial intelligence and expert systems applications. The need is not only in tasks with spatial goals such as image interpretation and robot motion, but also in tasks not involving spatial goals, e.g. diagnosis and language understanding.
Sargur N. Srihari, Zhigang Xiang
openaire   +1 more source