In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
This FAQ talks about how attention mechanisms work at their core, how they are used in automatic speech recognition systems, ...
Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai 200237, China ...
Abstract: In time series stock forecasting tasks, Long Short-Term Memory (LSTM) networks have been extensively utilized due to their proficiency in modeling sequential data. However, LSTM-based ...
Recurrent Neural Networks (RNNs) are AI models designed to process sequential data, capable of sequentially handling words and temporarily storing previously processed information in short-term memory ...
Abstract: One of the major challenges in analyzing modern biological data is dealing with ill-posed problems and missing data. In this paper, we propose a genotype imputation and phenotype sequences ...
1 Department of Hydraulics, Sanitary Environmental Protection, Faculty of Hydrotechnics, Technical University of Civil Engineering of Bucharest, Bucharest, Romania. 2 Department of Hydraulics, ...
Institute of Digitized Medicine and Intelligent Technology, Wenzhou Medical University, Wenzhou 325000, P. R. China ...