Results 131 to 140 of about 16,537 (263)

PSCA-YOLO: An enhanced YOLO with position-semantics coupled attention for mandibular fracture detection. [PDF]

iScience
Zhou T, Chen K, Lu H, Yu S, Chai W, Liu Q.   +5 more
europepmc   +1 more source

CanLRHI: a multimodal pretraining model for cell death analysis in cancer pathology based on long-text representation and high-resolution images. [PDF]

Brief Bioinform
Zhang T, Wan L, Zhang H, Zhao Z, Cui H, Ma J.   +5 more
europepmc   +1 more source

Defending the Semantic Conception of Computation in Cognitive Science

Journal of Cognitive Science, 2011
openaire   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

STORM: Exploiting Spatiotemporal Continuity for Trajectory Similarity Learning in Road Networks. [PDF]

IEEE Trans Knowl Data Eng
Li J, Lu H, Shahabi C.
europepmc   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

AIChE Journal, EarlyView.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin, Artur M. Schweidtmann   +1 more
wiley   +1 more source

A Scene-Aware Degradation Universal Re-Identification Framework for Adverse Weather. [PDF]

Sensors (Basel)
Wei S, Wang Y, Yang M, Wang C.
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

USF-Net: Infrared-Visible Image Fusion via Unified Semantics and Context Modulation. [PDF]

Sensors (Basel)
Fu D, Li Z, Fan W, Wang Q.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source