Results 181 to 190 of about 96,015 (310)

Beyond "Taiji Diagram": how multimodal metaphor deciphers Yin Xu and Yang Xu through Traditional Chinese Medicine science communication short videos. [PDF]

Front Public Health
Wang S, Wang M, Ng LS, Shaari AH.
europepmc   +1 more source

Advanced Multimodal Deep Learning Architecture for Image-Text Matching

Image-text matching is a key multimodal task that aims to model the semantic association between images and text as a matching relationship. With the advent of the multimedia information age, image, and text data show explosive growth, and how to ...
Zhong, Yihao, Cang, Yiru, Zhang, Haijing, Liang, Yingbin, Ji, Rongwei, Wang, Jinyin   +5 more
core  

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

MEPT-LLM: a multimodal generative AI model for identifying and understanding cultural-emotional barriers in the language classroom. [PDF]

Front Psychol
Bai X, Bai M.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Advancing conversational diagnostic AI with multimodal reasoning. [PDF]

Nat Med
Saab K, Park C, Strother T, Freyberg J, Barrett DGT, Cheng Y, Weng WH, Stutz D, Tomasev N, Palepu A, Liévin V, Sharma Y, Ruparel R, Ahmed A, Vedadi E, Kanada K, Hughes C, Liu Y, Brown G, Gao Y, Li S, Mahdavi SS, Manyika J, Chou K, Matias Y, Hassidim A, Webster DR, Barral J, Eslami SMA, Kohli P, Rodman A, Natarajan V, Schaekermann M, Tu T, Karthikesalingam A, Tanno R.   +35 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

A multimodal deep learning framework for clinical nursing assessment in lumbar fusion surgery via representation learning and feature extraction. [PDF]

Sci Rep
Li C, Cai J, Huang X, Ni Y, Ling X, Fang S.   +5 more
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Rare-Disease Diagnosis on the ZebraMap Multimodal Case Report Dataset: A Hybrid Pipeline with Grounded Explainability. [PDF]

Sensors (Basel)
Islam MS, Jamal A, Alkhathlan A.
europepmc   +1 more source