IEEE

Improved Convolution-Based Analysis for Worst Case Probability Response Time of CAN

Abstract: Controller area networks (CANs) are widely adopted in real-time automotive control and are increasingly standard in factory automation. Considering their ...
Frontiers

MM-3D Unet: development of a lightweight breast cancer tumor segmentation network utilizing multi-task and depthwise separable convolution

We propose a 3D depth-wise separable convolution, and construct channel expansional convolution (CEC) unit and inverted residual block (IRB) to reduce the parameter count and computational load, ...
GitHub

Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression

Abstract — This study develops a unified Point Cloud Geometry (PCG) compression method through the processing of multiscale sparse tensor-based voxelized PCG. We call this compression method ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
Frontiers

Detection Method of Citrus Psyllids With Field High-Definition Camera Based on Improved Cascade Region-Based Convolution Neural Networks

Citrus psyllid is the only insect vector of citrus Huanglongbing (HLB), which is the most destructive disease in the citrus industry. There is no effective treatment for HLB, so detecting citrus ...
Scientific Research Publishing

Deep Learning Convolution Neural Network to Detect and Classify Tomato Plant Leaf Diseases

The tomato crop is an important staple in the ‎market and it is one of the most common crops daily ‎consumed. Plant or crop diseases cause reduction of quality and quantity of the production; ...