Results 71 to 80 of about 157,275 (228)
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
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min +13 more
wiley +1 more source
Aptamer‐Based Delivery Systems for VEGF and NGF Modulation in Ocular Therapies
Aptamer‐based delivery systems targeting NGF and VEGF hold significant potential for precise and sustained treatment of complex diseases affecting both the anterior and posterior segments of the eye. This review critically summarizes current strategies for NGF and VEGF delivery as well as VEGF sequestration, providing a clinical perspective on how ...
Nadine Best +5 more
wiley +1 more source
Epidermal Patch Technologies for Integrated Healthcare and Infection Management
Epidermal patches have evolved from simple wound coverings into multifunctional, skin‐conformable platforms integrating drug delivery, biosensing, and therapeutic functionalities. This review highlights their material innovations, fabrication strategies, and intelligent designs, including hydrogels, microneedles, and flexible electronics, while ...
Yuqi Wang +7 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
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
Efficient Attention: Attention with Linear Complexities
Dot-product attention has wide applications in computer vision and natural language processing. However, its memory and computational costs grow quadratically with the input size. Such growth prohibits its application on high-resolution inputs. To remedy
Li, Hongsheng +4 more
core
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +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

