Artificial Intelligence and Spectroscopic Techniques for Gemology Applications

Artificial Intelligence and Spectroscopic Techniques for Gemology ApplicationsThis volume highlights the applications of different spectroscopic techniques in gems identification and analysis.

challenges some pre-assumed historical inaccuracies

The chapter considers cultivars less susceptible to foliar diseases incited either by biotrophic or necrotrophic pathogens

childhood history

To reduce the uncertainty of model driven impact assessments

this can be seen either as an introduction to a specialized topic or as an out-of-the-box introduction to the field of dark matter in general

inocula should be targeted to particular conditions by “training” or by combining them with other beneficial microorganisms

with a detailed study of the Deskford carnyx from north-east Scotland

The first edition of this book was very well received

and argues that far from making the roads safer

Islamic-Australian identity and “wogsploitation” comedy

who have reiterated army statistics without an investigation of their veracity

varieties of starch and how to enhance the quality-related traits of maize kernels