Results 191 to 200 of about 1,812,955 (373)

Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications

Advanced Materials Technologies, EarlyView.
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, Sindhu Priya Giridhar, Irfan H. Abidi, Taimur Ahmed, Akram AI‐Hourani, Sumeet Walia   +5 more
wiley   +1 more source

Automated Dynamic Image Analysis for Particle Size and Shape Classification in Three Dimensions [PDF]

arXiv
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

Advanced Materials Technologies, EarlyView.
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, Marcin Piekarczyk, Babak Rezaei, Ada‐Ioana Bunea   +3 more
wiley   +1 more source

The chick eye in vision research: An excellent model for the study of ocular disease

Progress in retinal and eye research, 2017
Ellis C. Wisely, Javed A. Sayed, Heather M Tamez, C. Zelinka, M. Abdel-Rahman, A. Fischer, C. Cebulla   +6 more
semanticscholar   +1 more source

Integrated Ovonic Threshold Switching Selector and Resistive Switching Memory 1S1R in Electrodeposited ZnTe Thin Films

Advanced Materials Technologies, EarlyView.
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, Haytham Hussein, Tongjun Zhang, Nikolay Zhelev, Neil T. Kemp, Gillian Reid, Kees de Groot, Philip N. Bartlett, Ruomeng Huang   +8 more
wiley   +1 more source

Context-Aware Vision Language Foundation Models for Ocular Disease Screening in Retinal Images [PDF]

arXiv
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  

Durable Anti‐fogging Polymer Coatings Based on C,H Insertion Cross–linking (CHic) That Are User and Environmentally Friendly

Advanced Materials Technologies, EarlyView.
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, Florian Deussen, Jürgen Rühe   +2 more
wiley   +1 more source

Topology and Intersection-Union Constrained Loss Function for Multi-Region Anatomical Segmentation in Ocular Images [PDF]

arXiv
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

Advanced Materials Technologies, EarlyView.
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, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Differentiating Choroidal Melanomas and Nevi Using a Self-Supervised Deep Learning Model Applied to Clinical Fundoscopy Images

Ophthalmology Science
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, Helen Kalirai, BSc, PhD, Rumana N. Hussain, MBBS, MD, Heinrich Heimann, MD, PhD, Yalin Zheng, MEng, PhD, Sarah E. Coupland, MBBS, PhD   +5 more
doaj