Results 211 to 220 of about 8,356,643 (251)
Annotation-Efficient Vulnerable Carotid Plaque Identification in 3D MRI: A Multimodal Knowledge-Transferred Framework. [PDF]
Cao B +9 more
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Examining preservice mathematics teachers' perceptions of technological pedagogical content knowledge (TPACK) pathways: a structural equation modeling approach. [PDF]
Xu YH.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
A sequential integrating virtual simulation and authentic video for preschool teacher candidates' observational skills training: A design-based intervention study. [PDF]
Zhang B +8 more
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Boosting low-resolution algae detection via cross-resolution knowledge distillation and transfer learning. [PDF]
Jiang M, Yang M, Wu Y, Zheng H.
europepmc +1 more source
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source

