The researchers trained their RNN-based model using a four-step optimization algorithm. This algorithm allows the model to prioritize the learning of behaviorally relevant latent states, while also ...

This research study presents the design and implementation of a deep learning model for analyzing various crops in the farming sector, focusing on parameters such as temperature and humidity. The ...

This review covers recent advances in artificial intelligence (AI) for aquatic species identification and conservation, ...

This paper proposes an adaptive direct-discretized recurrent neural network (ADD-RNN) algorithm with fuzzy factor to address the problem of future distinct-layer inequality and equation system (FDLIES ...