Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

Abstract: Time series classification (TSC) is essential in various application domains to understand the system dynamics. The adoption of deep learning has advanced TSC, however its performance is ...

Abstract: Fine-tuning hyperparameters plays a crucial role in boosting the accuracy and efficiency of image classification models. However, traditional approaches like grid search can be quite ...

We explore the use of large language models (LLMs) in hyperparameter optimization (HPO). By prompting LLMs with dataset and model descriptions, we develop a methodology where LLMs suggest ...

区块链技术在金融、供应链和元宇宙等领域的应用中面临显著延迟挑战，尤其是基于Hyperledger Fabric（HLF）的共识机制。本文提出一种基于强化学习（RL）的动态共识策略，通过实时调整参与交易的验证节点数量，在保证安全性的同时降低延迟。实验表明，该模型 ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.