Particulate Fluids Processing Centre, Department of Chemical and Biomolecular Engineering ... The structure of solutions of the nonrandom two-liquid (NRTL) model for prediction of liquid–liquid ...

algorithm, often used to process time series data. This paper proposes a combination of 13 rain detection parameters with a comparison of 1 -hour and 2-hour heavy rain prediction models using LSTM.

In the development of new drugs, the prediction of the metabolic fate is important to prevent drug−drug interactions. In the present study, a collection of 580 CYP450 substrates is deeply analyzed by ...

Abstract: Recent advancements in neuroscience, coupled with the rise of deep neural networks (DNNs), have markedly enhanced the ability to predict physiological disorders. Typically, these models are ...