Basic exploration of diffusion equation solvers in distributed computing systems has been a very important issue for computational fluid dynamics (CFD). This paper presents a funda...
Jun Ni, Lili Huang, Tao He, Yongxiang Zhang, Shaow...
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Displaying and navigating complex information on wearable computers is very different from accessing the same information while sitting at your desk. Limitations in hardware, scre...