Results 261 to 270 of about 2,355,367 (321)
Neural‐network‐based (NN) temperature sensing: Machine‐learning non‐contact method for the determination of the temperature of a laser gain medium via its laser emission with few‐layer neural net (NN) regression model. Training the feed‐forward NN with data recorded by compact micro‐spectrometers for both a diode pump laser and optically‐pumped gain ...
Jakob Mannstadt, Arash Rahimi‐Iman
wiley +1 more source
Multimodal Performance of GPT-4 in Complex Ophthalmology Cases. [PDF]
Mikhail D+11 more
europepmc +1 more source
This review covers the mechanical forces experienced by immune cells through cell–cell and cell–extracellular matrix interactions and how these forces influence their receptors and functions. These relationships between forces and cellular functions can be exploited using engineering techniques to modify the physical properties of materials for novel ...
Yu‐Chang Chen+2 more
wiley +1 more source
Cystic Fundic Gland Polyps With High-Grade Dysplasia. [PDF]
Avula A, Miranda C, Hanson M, Shah A.
europepmc +1 more source
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain+2 more
wiley +1 more source
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
wiley +1 more source
Working memory capacity as a predictor of text idea recall in multitasking L2 digital reading. [PDF]
de Azevedo B+3 more
europepmc +1 more source
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu+7 more
wiley +1 more source
Best Practices for Partnering With Interpreters in Clinical Encounters: A Multimodal Approach for Teaching Medical Students. [PDF]
Ibikunle O+16 more
europepmc +1 more source