Results 131 to 140 of about 259,805 (294)
Automated painting color matching technology based on semantic intelligence understanding
Painting color matching technology is widely used in the production and printing process of products. Traditional painting and color matching have been unable to meet market demands.
Jiayin Zhang
doaj +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Structural and Contrastive Guidance Mining for Weakly-Supervised Language Moment Localization
Weakly supervised temporal video grounding focuses on localizing the temporal moment or segment corresponding to a sentence query in an untrimmed, long video with only video-level annotations. However, due to the lack of ground moment annotation, current
Dongjie Tang, Xiaojie Cao
doaj +1 more source
Non-verbal sound processing in the primary progressive aphasias [PDF]
Little is known about the processing of non-verbal sounds in the primary progressive aphasias. Here, we investigated the processing of complex non-verbal sounds in detail, in a consecutive series of 20 patients with primary progressive aphasia [12 with ...
Bamiou, D.-E. +6 more
core
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini +8 more
wiley +1 more source
Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen +10 more
wiley +1 more source
Semantic IoT Service Communication—Impedance Matching Between Service Goal and Event Routing
In IoT (Internet of Things) applications, there are many kinds of event flows. Without converging these flows based on their semantics, it is difficult to establish ultrascale-connected IoT service systems.
Yang Zhang, Bo Cheng, Junliang Chen
doaj +1 more source
A Pragmatic Approach for the Semantic Description and Matching of Pervasive Resources
The increasing popularity of personal wireless devices has raised new demands for the efficient discovery of heterogeneous devices and services in pervasive environments.
Bandara, Ayomi +4 more
core
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source

