Results 191 to 200 of about 1,812,955 (373)
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung+5 more
wiley +1 more source
Automated Dynamic Image Analysis for Particle Size and Shape Classification in Three Dimensions [PDF]
We introduce OCULAR, an innovative hardware and software solution for three-dimensional dynamic image analysis of fine particles. Current state-of-the art instruments for dynamic image analysis are largely limited to two-dimensional imaging. However, extensive literature has demonstrated that relying on a single two-dimensional projection for particle ...
arxiv
Beyond 3D: Smart Material Systems for Microscale 4D Printing
Smart materials exhibit shape changes in response to their environment, enabling scientists to go beyond 3D in the rapidly growing field of 4D printing. This review covers recent advances, current challenges, and emerging trends in 4D printing on the microscale.
Daniel Maher+3 more
wiley +1 more source
The chick eye in vision research: An excellent model for the study of ocular disease
Ellis C. Wisely+6 more
semanticscholar +1 more source
This study showcases the first‐ever demonstration of ovonic threshold switching (OTS) and resistive switching (RS) in ZnTe thin films fabricated via a fast, cost‐effective electrodeposition method. By controlling the deposition potential, ZnTe film is tuned to demonstrate OTS or RS behaviors, enabling the implementation of one‐selector‐one‐resistor ...
Ayoub H. Jaafar+8 more
wiley +1 more source
Context-Aware Vision Language Foundation Models for Ocular Disease Screening in Retinal Images [PDF]
Foundation models are large-scale versatile systems trained on vast quantities of diverse data to learn generalizable representations. Their adaptability with minimal fine-tuning makes them particularly promising for medical imaging, where data variability and domain shifts are major challenges.
arxiv
Highly photoreactive polymer networks prevent fogging by forming uniform water films. Activated by visible light and cross‐linked by CH insertion, these coatings exhibit excellent water film formation, transparency, and durability, even after frequent washing.
Alexander Bleiziffer+2 more
wiley +1 more source
Topology and Intersection-Union Constrained Loss Function for Multi-Region Anatomical Segmentation in Ocular Images [PDF]
Ocular Myasthenia Gravis (OMG) is a rare and challenging disease to detect in its early stages, but symptoms often first appear in the eye muscles, such as drooping eyelids and double vision. Ocular images can be used for early diagnosis by segmenting different regions, such as the sclera, iris, and pupil, which allows for the calculation of area ...
arxiv
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng+2 more
wiley +1 more source
Purpose: Testing the validity of a self-supervised deep learning (DL) model, RETFound, for use on posterior uveal (choroidal) melanoma (UM) and nevus differentiation. Design: Case-control study.
Max Jackson, MPhys+5 more
doaj