Results 111 to 120 of about 1,457,471 (199)

Brain Stroke Classification Using CT Scans with Transformer-Based Models and Explainable AI

Diagnostics
Background & Objective: Stroke remains a leading cause of mortality and long-term disability worldwide, demanding rapid and accurate diagnosis to improve patient outcomes.
Shomukh Qari, Maha A. Thafar
doaj   +1 more source

Computation‐Less, Bias‐Free, and Ultra‐Broadband Photodetector for On‐Chip Edge Extraction

Advanced Materials, EarlyView.
A computation‐less, bias‐free, and ultra‐broadband photodetector directly converts local optical‐intensity gradients into signed photocurrents through a position‐dependent bi‐directional photoresponse. This intrinsic physical sensing mechanism enables single‐pixel edge extraction from the near‐infrared to the long‐wave infrared at room temperature ...
Jintao Fu, Hao Jiang, Xingsi Liu, Fakun Wang, Yang Peng, Qi Jie Wang, Weibo Gao, Xingzhan Wei, Cheng‐Wei Qiu   +8 more
wiley   +1 more source

Blending Anti-Aliasing into Vision Transformer

, 2021
The transformer architectures, based on self-attention mechanism and convolution-free design, recently found superior performance and booming applications in computer vision.
Shao, Hao, Zhu, Yi, Li, Mu, Qian, Shengju, Jia, Jiaya   +4 more
core  

EEViT: Efficient Enhanced Vision Transformer Architectures with Information Propagation and Improved Inductive Bias

AI
The Transformer architecture has been the foundational cornerstone of the recent AI revolution, serving as the backbone of Large Language Models, which have demonstrated impressive language understanding and reasoning capabilities.
Rigel Mahmood, Sarosh Patel, Khaled Elleithy   +2 more
doaj   +1 more source

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

Advanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan, Thomas D. Small, Gregory F. Metha, Mahmoud Adel Hamza, Thomas J. O'Dea, Yideng Shen, Cameron J. Shearer   +6 more
wiley   +1 more source

Binocular vision with null disparity disrupts the effects of extra-retinal signals

, 2009
We studied a novel phenomenon indicating that the integration of extra-retinal information and the optic flow is a necessary but not sufficient condition for slant constancy during active head motion; congruency between monocular and binocular cues to ...
FANTONI, CARLO, Caudek C., Domini F
core   +1 more source

MGFR-ViT: A Multi-Scale Gated Feature Refinement Vision Transformer for Vibration-Based Fault Diagnosis

Sensors
To address the limited extraction of local fault features, ineffective fusion of multi-scale fault information and interference from redundant noise in vibration-based fault diagnosis of rolling bearings and gears under complex operating conditions, a ...
Yan Yan, Ting Shang, Kun Jia, Songnan Yang, Haiyan Cheng, Yuxing Li, Wei Quan   +6 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

The cost of backpropagation in transformer network [PDF]

openThis thesis studies the training cost of transformer networks by analyzing the number of arithmetic operations required during backpropagation. Focusing on the original transformer block in a simplified, single-headed version, we break down the time ...
BARBATO, ALBERTO
core  

Exploring Vision Transformers and Convolution Neural Networks for the Thermal Image Classification of Volcanic Activity

Applied Sciences
This paper addresses the classification of images depicting the eruptive activity of Mount Etna that were captured by a network of ground-based thermal cameras.
Giuseppe Nunnari, Sonia Calvari
doaj   +1 more source