Results 251 to 260 of about 189,135 (277)

When the Generative Lexicon meets Computational Semantics

, 2015
Renaud Marlet
openalex   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

An adaptive semantic retrieval framework for digital libraries integrating graph neural networks, ontology, and user behavior. [PDF]

Sci Rep
Bi R.
europepmc   +1 more source

Distinguishing lung cancer from atypical tuberculosis: Deep transfer learning and imaging omics features

Journal of Intelligent Medicine, EarlyView.
The 3D‐ResNet model demonstrates superior discriminative power in differentiating lung cancer from atypical tuberculosis by leveraging deep omics features derived from volumetric lung cancer imaging, outperforming conventional clinical and radiomic analyses.
Yi Wu, Siyi Li, Zhiping Long, Yanjie Jia, Yue Yu, Bing Pei, Heli Yuan, Yuhua Hao, Zhiyun Jiang, Lei Cao, Kezheng Wang, Fan Wang   +11 more
wiley   +1 more source

Toward a Deeper Lexical Semantics. [PDF]

Top Cogn Sci
Jackendoff RS, Erk KE.
europepmc   +1 more source

3D Automated Segmentation of Bronchial Abnormalities on Ultrashort Echo Time MRI: A Quantitative MR Outcome in Cystic Fibrosis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Cystic fibrosis (CF) monitoring relies on computed tomography (CT), but ultra‐short echo time MRI (UTE‐MRI) offers a radiation‐free alternative. However, its clinical adoption is hindered by the laborious and subjective manual analysis, which prevents standardized quantification of bronchial abnormalities.
Amel Imene Hadj Bouzid, Ilyes Benlala, Baudouin Denis de Senneville, Fabien Baldacci, Julie Macey, Wadie Benhassen, Pan Su, Stephanie Bui, Maeva Zysman, Aurelien Bustin, Patrick Berger, Gael Dournes   +11 more
wiley   +1 more source

Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations. [PDF]

Sci Rep
Ding Y, Shalaby M, Singh NSS, Alfilh RHC.   +3 more
europepmc   +1 more source

Charting the Evolution of Open Data Business Models: Insights From a Systematic Review and Thematic Analysis of a Decade

Strategic Change, EarlyView.
ABSTRACT This article presents a decade of research on Open Data Business Models (ODBM), aiming to identify conceptual gaps, categorize thematic trends, and propose an integrative framework. This paper, based on a systematic literature review (SLR) of 60 peer‐reviewed studies, develops a coherent framework that explains how ODBMs are formed, adapted ...
Saeed Rouhani, Ali Dehghanpir, Hannan Amoozad Mahdiraji, Demetris Vrontis   +3 more
wiley   +1 more source

Fine-Grained Image Recognition with Bio-Inspired Gradient-Aware Attention. [PDF]

Biomimetics (Basel)
Ma B, Li J, Jin Z, Zhang W, Song X, Jin B.   +5 more
europepmc   +1 more source

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, EarlyView.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +1 more source