LSTM Recurrent Neural Network is a special version of the RNN model. It stands for Long Short-Term Memory. The simple RNN has ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Urinrinoghene Lauretta Omughelli, a Nigerian cloud infrastructure and artificial intelligence (AI) systems engineer, is ...

Humans can detect buried objects without touching them, sensing faint pressure ripples in sand. Scientists are calling this ...

Bitcoin and Ethereum are entering the next bull cycle, but investors are shifting their interest to low-priced tokens that ...

Abstract: The complexity of data and limited model generalization significantly hinder prediction accuracy. A physics-informed long short-term memory model with adaptive weight assignment (PILSTM-AWA) ...

Abstract: This paper introduces a novel high-precision model predictive control method for high-speed trains that combines a fixed-lag Kalman smoother based on a long short-term memory network and a ...

A Technology and data analytics specialist, Olatoye Agboola, has called for the adoption of Artificial Intelligence-powered fraud detection and biometric Know Your Customer tools by Nigerian digital ...

Economic variables also play a central role. Rising GDP per capita increases healthcare utilization rates as households are ...