Reliable feature selection for adversarially robust cyber-attack detection
The growing cybersecurity threats make it essential to use high-quality data to train machine
learning (ML) models for network traffic analysis, without noisy or missing data. By selecting …
learning (ML) models for network traffic analysis, without noisy or missing data. By selecting …
Development of a Time Series E-Commerce Sales Prediction Method for Short-Shelf-Life Products Using GRU-LightGBM
Effective sales prediction for e-commerce would assist retailers in developing accurate
production and inventory control plans, which would further help them to reduce inventory …
production and inventory control plans, which would further help them to reduce inventory …