Results 81 to 90 of about 155,742 (245)

Semantic-Aware Low-Light Image Enhancement by Learning from Multiple Color Spaces

Applied Sciences
Extreme low-light image enhancement presents persistent challenges due to compounded degradations involving underexposure, sensor noise, and structural detail loss.
Bo Jiang, Xuefei Wang, Naidi Yang, Yuhan Liu, Xi Chen, Qiwen Wu   +5 more
doaj   +1 more source

Information packaging correlates of semantic information structure categories

Bucharest Working Papers in Linguistics, 2020
In this wide-ranging article I engage in a detailed meditation on the book Representations of the Intellectual (1994) by the late, great Palestinian-American academic and cultural critic Edward W. Said (1935-2003). In the course of discussing and evaluating Representations of the Intellectual roughly thirty years after its initial publication, I ...
openaire   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

A CityGML ADE for flood simulations

Geo-spatial Information Science
Floods are one of the most frequent types of destructive natural disaster that causes serious safety risks and economic losses. Flood simulation has been an effective way to model the behavior and dynamics of flood and support the analysis like flood ...
Shaohua Luo, Linfang Ding, Hongchao Fan
doaj   +1 more source

Semantic Information Recovery in Wireless Networks. [PDF]

Sensors (Basel), 2023
Beck E, Bockelmann C, Dekorsy A.
europepmc   +1 more source

Unveil Fundamental Graph Properties for Neural Architecture Search

Advanced Science, EarlyView.
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang, Tejaswini Pedapati, Pin‐Yu Chen, Chunheng Jiang, Jianxi Gao   +4 more
wiley   +1 more source

The effects of presentation methods and semantic information on multi-ethnicity face recognition

European Journal of Psychology Applied to Legal Context, 2012
Studies have shown that own-race faces are more accurately recognised than other-race faces. The present study examined the effects of own- and other-race face recognition when different ethnicity targets are presented to the participants together.
Kaarel Rundu, Kristjan Kask
doaj  

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

Advanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source

Omniscience and Semantic Information

Manuscrito
First, I consider a few motivations to idealize epistemic logics1 in such a degree that brings up the problem of logical omniscience [LOP]. I argue that the main motivation to hold omniscience is of a philosophical-scientific2 background (Stalnaker 1991),
Bernardo Alonso
doaj   +1 more source