How Does Pattern Recognition In Machine Learning Revolutionize AI-Powered Crypto Trading?

Pattern recognition and machine learning are revolutionizing the functioning of the crypto market. They convert raw, random data into useful signals, enabling traders to make better, quicker, and ...
Devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
IEEE

HRRP Open Set Target Recognition Algorithm Based on Decision Tree

Abstract: High-Resolution Range Profile (HRRP) is a crucial radar signal processing technique widely employed in Radar Automatic Target Recognition (RATR). However, recognizing unknown targets under ...
IEEE

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification

Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Frontiers

Research on fault-tolerant decision algorithm for data security automation

Introduction: Traditional operation and maintenance decision algorithms often ignore the analysis of data source security, making them highly susceptible to noise, time-consuming in execution, and ...
Frontiers

Comparative Evaluation of Fast-Learning Classification Algorithms for Urban Forest Tree Species Identification Using EO-1 Hyperion Hyperspectral Imagery

The final, formatted version of the article will be published soon. Abstract— Accurate identification of forest tree species is vital for sustainable forest management, biodiversity assessment, and ...