Praveen Kumar

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, cloud-based analytics tools, and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics, and e-commerce. It also addresses security challenges, privacy concerns, and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics.Covers supervised and unsupervised learning, including regression, clustering, classification, and neural networks.Discusses Hadoop, Spark, Tableau, Power BI, and Splunk for analytics and visualisation.Examines how cloud computing enhances scalability, efficiency, and automation in data analytics.Showcases ML-driven solutions in e-commerce, supply chain logistics, healthcare, and education.This book is an essential resource for students, researchers, and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.

Le perle idrogel di chitosano caricate con quercetina sono state preparate mediante gelificazione ionotropica utilizzando il tripolifosfato di sodio (TPP) come controione gelificante. Le perle idrogel di chitosano, a diverse concentrazioni di soluzione di chitosano, sono state preparate sciogliendo la massa desiderata di chitosano nell'1% (v/v) di acido acetico. Le formulazioni preparate sono state sottoposte a vari test di valutazione fisiochimica, come l'analisi delle dimensioni delle particelle, la morfologia della forma e della superficie, l'efficienza di intrappolamento del farmaco e lo studio di rilascio del farmaco in vitro per determinare la quantit di quercetina presente nelle perle.

As esferas de hidrogel de quitosano carregadas com quercetina foram preparadas atrav s de gelifica o ionotr pica utilizando tripolifosfato de s dio (TPP) como contra-ion de gelifica o. As esferas de hidrogel de quitosano, diferentes concentra es de solu o de quitosano foram preparadas dissolvendo a massa desejada de quitosano em cido ac tico a 1% (v/v). As formula es preparadas foram submetidas a v rios testes de avalia o f sico-qu mica, como a an lise do tamanho das part culas, a morfologia da forma e da superf cie, a efici ncia do aprisionamento do f rmaco e o estudo de liberta o do f rmaco in vitro para determinar a quantidade de quercetina presente nas esferas.

Des billes d'hydrogel de chitosane charg es de querc tine ont t pr par es par g lification ionotropique en utilisant le tripolyphosphate de sodium (TPP) comme contre-ion g lifiant. Des billes d'hydrogel de chitosane, diff rentes concentrations de solution de chitosane ont t pr par es en dissolvant la masse d sir e de chitosane dans de l'acide ac tique 1% (v/v). Les formulations pr par es ont t soumises divers tests d' valuation physiochimique tels que l'analyse de la taille des particules, la morphologie de la forme et de la surface, l'efficacit du pi geage du m dicament et l' tude de la lib ration du m dicament in vitro afin de d terminer la quantit de querc tine pr sente dans les billes.

Mit Quercetin beladene Chitosan-Hydrogelk gelchen wurden durch ionotrope Gelierung unter Verwendung von Natriumtripolyphosphat (TPP) als gelierendes Gegenion hergestellt. Die Chitosan-Hydrogelk gelchen wurden durch Aufl sen der gew nschten Chitosanmenge in 1 % (v/v) Essigs ure hergestellt. Die vorbereiteten Formulierungen wurden verschiedenen physiochemischen Bewertungstests unterzogen, wie z. B. der Analyse der Partikelgr e, der Form und der Oberfl chenmorphologie, der Effizienz des Arzneimitteleinschlusses und der In-vitro-Wirkstofffreisetzungsstudie, um die Menge des in den K gelchen vorhandenen Quercetins zu bestimmen.