The aim of the work is to design a secure and accurate Speech Emotion Recognition (SER) system using a RNN model to classify emotions from speech data. The system’s predictive accuracy is evaluated ...

Guzman et al. (2017) utilized a dynamic form of a Recurrent Neural Network (RNN) model to predict groundwater levels in the Mississippi River Valley Alluvial aquifer, United States. Eight years of ...

PV-RNN serves as both a generative model and an inference model. The generative model predicts future sensory inputs via top-down processes, while the inference model estimates the approximate ...

However, the performance of previous epidemic analysis methods is limited by the parameter estimation problems and the lack of interpretability. In this paper, we proposed RNN enhanced compartmental ...

2025.6.27 We have open-sourced Hunyuan-A13B-Pretrain , Hunyuan-A13B-Instruct , Hunyuan-A13B-Instruct-FP8 , Hunyuan-A13B-Instruct-GPTQ-Int4 on Hugging Face. In addition, we have released a technical ...

If you like our Framework, don't hesitate to ⭐ star this repository ⭐. This helps us to make the Framework more better and scalable to different models and methods 🤗. A modular and efficient ...