Multiple machine learning models for prediction of CO2 solubility in potassium and sodium based amino acid salt solutions

A novel augmented reality and reinforcement learning empowered communication framework for underwater unmanned autonomous vehicle

Secure IoMT smartwatch-based blood glucose monitoring using multimodal activity and nutrition data with transfer learning

ECT-DLM: Deep Learning-Based Empirical Curvelet Transform Approach

Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection

Traffic congestion estimation and control: A comprehensive review of the applied computational intelligence models