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In the last couple of decades, countries have enacted new laws concerning environmental pollution caused by heavy-duty commercial and passenger vehicles. This is done mainly in an effort to reduce smog and health impacts caused by the different pollutions. One of the legislated pollutions, among a wide range of regulated pollutions, is nitrogen oxides (commonly abbreviated as NOx). The SCR (Select
Affilierad forskare Kontaktinformation E-post: sandeep [dot] jagtap [at] tlog [dot] lth [dot] seOrganisation Teknisk logistik Besöksadress: Ole Römers väg 1, Rumsnummer: 5112 Hämtställe: 9 WebbplatsSandeep Jagtaps profil i Lunds universitets forskningsportalAndra roller Affilierad forskare Centrum för handel och logistik (REAL) Profilområdesmedlem LTH profilområde: Livsmedel och bioteknik Publikat
https://www.real.lu.se/sandeep-jagtap - 2026-06-04
For quite some time, the governance of municipal corporations has been criticized on the grounds of its lack of transparency and its weak mechanisms of accountability. However, despite the fact that municipal ownership of corporations has become an increasingly controversial issue, the number of municipal corporations has grown, as has also the extent to which they are perceived as a source of unf
ObjectivesSexual satisfaction is a crucial part of sexual health and is positively related to well-being and quality of life. However, there are at present no composite measures of sexual satisfaction available in Swedish. The New Sexual Satisfaction Scale – Short form (NSSS-S) is a measure of sexual satisfaction that has been validated in multiple languages, and the aim of the present study is to
Quantum Cascade Lasers (QCLs) can be designed to emit radiation in the Terahertz (THz) range. For these frequencies, which are faster than electronics and slower than infrared light, there are currently only few devices facing a wide potential of applications. The realization of room temperature operation of THz QCLs would enable practical use in e.g. spectroscopy and public safety. The question i
We introduce rigorous theory for deriving first and second order backpropagation methods for Deep Neural Networks (DNN) whilst satisfying existing theory in DNN optimization. We begin by formally defining a neural network with its respective components and state the first and second order chain rule with respect to its partial derivatives. The partial derivatives in the chain rule formula are rela
