This work presents the development of a custom convolutional neural network (CNN) architecture for image classification, efficiently implemented on a hardware platform such as the Raspberry Pi and ...

A team led by Eamon Doyle, Ph.D., in the Borzage Laboratory at Children's Hospital Los Angeles developed novel computational ...

To visualize flow field fluctuations caused by the underwater small-scale dynamic processes, an autonomous underwater vehicle (AUV) was deployed to navigate within the observation area.

Detection of traffic accidents is a key part of intelligent transportation systems, providing real-time analysis in order to improve safety on the road and assist in the logistics and management of ...

This work investigates the advanced deep-learning features of the Xception model for image classification of 15 animal species. The Xception model known for its depthwise separable convolutions ...

High accuracy captcha solver for SJTU Jaccount login page using SVM and ResNet. This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies ...

Early identification of gliomas, common and aggressive brain tumors, is critical for proper treatment and better patient outcome. [1] Gliomas have five different types: glioblastoma multiforme (GBM), ...

ECG is an essential diagnostic tool that offers important insight into a person's cardiac and general health. The rise of intelligent wearable devices has opened a new avenue for clinicians and ...

Application of Factorial Design in Image Processing Using CNN Abstract: Convolutional Neural Networks (CNNs) are now dominant deep learning techniques, with phenomenal performance on an extremely ...

Gas-liquid intermittent flow is of great engineering significance for the design and optimization of pipeline systems in complex terrains, while current research on the flow characteristics influenced ...

Great work on Flow-GRPO — the SDE trick for RL-friendly flow models is brilliant! I have a quick question on "diversity": Replacing the deterministic ODE with a stochastic SDE should, in theory, widen ...

The solid-phase fraction (SPF) in solid-liquid two-phase flow is an important parameter in process control and monitoring. SPF calculation based on electrical resistance tomography (ERT) is receiving ...