Autor: Raghvendra Kumar Kumar

Applications of Targeted Nano-Drugs and Delivery Systems: Nanoscience and Nanotechnology in Drug Delivery explores the applications of Nano-drugs and their delivery systems, investigating the role th …

Characterization and Biology of Nanomaterials for Drug Delivery: Nanoscience and Nanotechnology in Drug Delivery describes the techniques successfully employed for the application of nanocarriers loa …

Nano-carriers for Drug Delivery: Nanoscience and Nanotechnology in Drug Delivery presents recent discoveries in research on the pharmaceutical applications of the various types of nanosystem-based dr …

Thermal and Rheological Measurement Techniques for Nanomaterials Characterization, Second Edition covers thermal and rheological measurement techniques, including their principle working methods, sam …

Nanomaterials Characterization Techniques, Volume Two, part of an ongoing series, offers a detailed analysis of the different types of spectroscopic methods currently being used in nanocharacterizati …

Microscopy Methods in Nanomaterials Characterization fills an important gap in the literature with a detailed look at microscopic and X-ray based characterization of nanomaterials. These microscopic …

Focusing on different tools, platforms, and techniques, Blockchain and the Smart City: Infrastructure and Implementation uses case studies from around the world to examine blockchain deployment in di …

Emergence of Pharmaceutical Industry Growth with Industrial Io T Approach uses an innovative approach to explore how the Internet of Things (Io T) and big data can improve approaches, create efficien …

An Industrial Io T Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (Io T) and big data can improve approaches and make discov …

Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning met …