Tokyo, Japan - Spectroscopy techniques are commonly used in materials research because they enable identification of materials from their unique spectral features. These features are correlated with ...

Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, ...

Performance of the compared methods on the selection of important feature groups with different sizes. The higher the curve, the better the performance. Past years have witnessed impressive successes ...

Data Interpretation is an important part of the Quantitative Aptitude section in many competitive exams. It tests the ability to read, understand, and draw conclusions from data presented in the form ...

Modern spectroscopy techniques can produce tens of thousands of spectra from a single experiment, which has placed a considerable burden on traditional human-driven methods for interpretation of these ...