Results 81 to 90 of about 1,582,815 (295)
This study reports a self‐powered InGaAs nanowire photodetector achieving single‐photon‐level sensitivity in the shortwave infrared at non‐cryogenic temperatures. The device demonstrates high‐speed imaging capabilities even under extremely low‐flux conditions.
Kosala Dhanawansha +10 more
wiley +1 more source
Classification of Lung Diseases in X-Ray Images Using Transformer-Based Deep Learning Models
This research evaluates the performance of two Transformer models, the Vision Transformer (ViT) and Swin Transformer, in the analysis of thoracic X-ray images.
Nyoman Sarasuartha Mahajaya +2 more
doaj +1 more source
Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park +7 more
wiley +1 more source
A customised vision transformer for accurate detection and classification of Java Plum leaf disease [PDF]
Vision Transformer (ViT) has recently attracted significant attention for its performance in image classification. However, studies have yet to explore its potential in detecting and classifying plant leaf disease.
Bhowmik, Auvick Chandra +5 more
core +1 more source
Depth Perception Using Various Vision Transformer [PDF]
Proper depth perception is one of the key requirements of three-dimensional understanding of scenes in the context of self-driving. The discussed manuscript defines a re-architecturing of VoxelNet with a dual attention paradigm (inspired by Vision ...
Kukreja Swetta +4 more
doaj +1 more source
Molecular Bridges for 2D Nanomaterials
Molecular cross‐linking provides a versatile strategy to engineer interfaces in 2D materials. By tuning the linker backbone, binding mode, and interflake spacing, molecular bridges can regulate charge transport, mechanical integrity, chemical functionality, and processing.
Yudhajit Bhattacharjee +3 more
wiley +1 more source
Artificial intelligence (AI) has become an integral part of modern life, extending its impact into the preservation of cultural heritage. This study applies state-of-the-art vision transformer models for the classification of traditional Chinese dance ...
Yanyan Wang
doaj +1 more source
FSwin Transformer: Feature-Space Window Attention Vision Transformer for Image Classification
The vision transformer (ViT) with global self-attention exhibits quadratic computational complexity that depends on the image size. To address this issue, window-based self-attention ViT limits attention area to a specific window, thereby mitigating the ...
Dayeon Yoo, Jeesu Kim, Jinwoo Yoo
doaj +1 more source
This study explored how innovative “auxetic” scaffolds, which expand when stretched, influence skeletal muscle development. Researchers cultured muscle cells on different scaffold designs and applied repeated stretching over 10 days. They found that scaffold geometry affected muscle cell differentiation and fiber formation.
Maria Kalogeropoulou +5 more
wiley +1 more source
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer
Attention-only Transformers [34] have been applied to solve Natural Language Processing (NLP) tasks and Computer Vision (CV) tasks. One particular Transformer architecture developed for CV is the Vision Transformer (ViT) [15].
Russo S. +13 more
core +1 more source

