Results 261 to 270 of about 2,355,367 (321)

Towards Neural‐Network‐Based Optical Temperature Sensing of Semiconductor Membrane External Cavity Laser

open access: yesAdvanced Sensor Research, EarlyView.
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]

open access: yesJ Pers Med
Mikhail D   +11 more
europepmc   +1 more source

Mechanical Interactions Impact the Functions of Immune Cells and Their Application in Immunoengineering

open access: yesAdvanced Therapeutics, EarlyView.
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]

open access: yesACG Case Rep J
Avula A, Miranda C, Hanson M, Shah A.
europepmc   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

open access: yesAdvanced Theory and Simulations, EarlyView.
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: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation

open access: yesAdvanced Theory and Simulations, EarlyView.
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

Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A Study Employing Multifidelity Machine Learning

open access: yesAdvanced Theory and Simulations, EarlyView.
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]

open access: yesCureus
Ibikunle O   +16 more
europepmc   +1 more source

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