Scientific Research Publishing

A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification ()

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...
IEEE

A Microscopic Image Object Detection Method Based on Deformable Convolution and Multi-Scale Convolution Attention

Abstract: Microscopic identification is one of the most commonly used methods for preliminary screening of traditional Chinese medicine (TCM). However, TCM microscopic images often contain irregular ...
IEEE

Convolution Smooth: A Post-Training Quantization Method for Convolutional Neural Networks

Abstract: Convolutional neural network (CNN) quantization is an efficient model compression technique primarily used for accelerating inference and optimizing resources. However, existing methods ...
SciTech Daily

Brain-Inspired AI Learns To See Like Humans in Stunning Vision Breakthrough

A new brain-inspired AI method called Lp-Convolution enhances image recognition by dynamically reshaping CNN filters, combining biological realism with improved performance and efficiency. Credit: ...
Frontiers

A classification method of underwater target radiated noise signals based on enhanced images and convolutional neural networks

As the economy and society continue to develop, the range of underwater vehicles is expanding and technology is constantly being upgraded. Consequently, it is becoming increasingly difficult to ...
Frontiers

Correction: Short-time photovoltaic output prediction method based on depthwise separable convolution Visual Geometry group- deep gate recurrent neural network

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
The American Journal of Managed Care

Convolutional Neural Network Improves MS Lesion Segmentation

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...
Scientific Research Publishing

N. Papanikolaou, T. R. Mackie, C. Meger-Wells, et al., “Investigation of the Convolution Method for Polyenergetic Spectra,” Medical Physics, Vol. 20, No. 5, 1993, pp. 1327 ...

ABSTRACT: Purpose: To introduce a practical method of using an Electron Density Phantom (EDP) to evaluate different dose calculation algorithms for photon beams in a treatment planning system (TPS) ...