Nature

A novel hybrid model for emotion detection in text through sequential and transformer-based approaches: LSTM enhanced RoBERTa (LER)

Text emotion detection is an essential task in Natural Language Processing (NLP), with applications in customer support automation, diagnosing mental health, and social media analysis. Yet, precise ...
Nature

24-hour ozone concentration forecasting using a DLinear-LSTM hybrid model incorporating periodic features via sequence decomposition

Prolonged exposure to elevated ozone levels poses significant health risk. Accurate forecasting of ozone concentration is crucial for enabling timely interventions to mitigate their decremental ...