AlphaGalileo

Superior F1-score: I/O Feature Driven Algorithms for Stream Computing Systems Workload Identification

Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in ...

Innoviz LiDAR Powers Cogniteam's New Counter-UAS Classification Module for Advanced Security Platforms

Innoviz Technologies Ltd. (NASDAQ: INVZ) (the "Company" or "Innoviz"), a leading supplier of high-performance, ...
IEEE

Hyperspectral Image Classification Based on Pyramid Coordinate Attention and Weighted Self-Distillation

Abstract: Attention mechanism-based hyperspectral image (HSI) classification algorithms typically extract spectral and spatial features by spectral attention and spatial attention network, ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
IEEE

An Improved Neural Network Classification Algorithm by Expanding Training Samples for Polarimetric SAR Application

Abstract: The idea of spatial correlation has been used in polarimetric synthetic aperture radar (PolSAR) classification for many years. It is common that the bigger the spatial correlation, the more ...
Scientific Research Publishing

Research and Implementation of Traffic Sign Recognition Algorithm Model Based on Machine Learning ()

1 College of Engineering and Computing, Florida International University, Miami, USA. 2 College of Intelligent Equipment, Shandong University of Science and Technology, Qingdao, China. 3 Steven J.
Frontiers

A novel meta-learning-based hyperspectral image classification algorithm

Aimed at the hyperspectral image (HSI) classification under the condition of limited samples, this paper designs a joint spectral–spatial classification network based on metric meta-learning. First, ...
Frontiers

Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b

The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the ...