IEEE

Multi-Agent Transformer-based Automated Imbalanced Time Series Classification with Hyperparameter Optimization

Abstract: Time series classification is a prevalent research topic with wide applications, and Imbalanced Time Series Classification (ITSC) has emerged with high importance due to the nature of ...
IEEE

Optimized Deep Learning for Tea Leaf Age and Quality Classification using EGACNN and SHEDA-based Hyperparameter Tuning

Abstract: Reliable tea leaf quality classification is vital for maintaining product consistency and consumer satisfaction. However, traditional assessment techniques—such as physicochemical analysis ...
GitHub

Umer-Farooq-CS/CNN-CIFAR10-Classification-GPU-Optimized

This project implements a state-of-the-art CNN architecture for CIFAR-10 image classification, achieving 88.82% accuracy through systematic hyperparameter optimization. The implementation includes GPU ...
blockchain

NanoChat AI Bug Fix in SpellingBee Synthetic Task: Github User ericsilberstein1 Identifies Issue

According to Andrej Karpathy on Twitter, GitHub user ericsilberstein1 identified a bug in the NanoChat AI project, specifically affecting the SpellingBee synthetic task evaluation. Although the bug is ...