What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...

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This is a very simple (and NOT a highly optimized and secure) implementation of AES only written to teach you the BASICS of this algorithm. I used a tutorial previously available on progressive-coding ...

Abstract: In the previous works, Widyantoro et. al. have proposed a dynamic programming (DP) for forward-backward combination method on the problem of finding optimal path; yet, Widyantoro apparently ...

We report the first implementation of laser scanning coherent Stokes Raman scattering (CSRS) microscopy. To overcome the major challenge in CSRS imaging, we show how to suppress the fluorescence ...

Swimming microorganisms and migrating cells have developed various strategies in order to move in nutrient-rich or other chemical environments. We apply a genetic algorithm to the internal ...

Vibrational spectroscopy comprises label-free techniques that allow one to detect electronic changes in the internal vibrational energy levels of biomolecules. Biomolecules that contain chemical bonds ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

Welcome to the new EcoSim homepage. Aaron Ellison and I are pleased to be offering EcoSimR 1.00, an R version of the original EcoSim package. EcoSimR consists of ...