Ashish Kumar – författare

Pharmaceutical Engineering: A Primer for Advanced Process Development provides a comprehensive, engineering-focused description of pharmaceutical dosage form process development and manufacturing. This volume introduces the most commonly used manufacturing processes for pharmaceutical dosage forms and addresses critical formulation and process parameters that influence drug product process performance and product quality.This is supplemented with detailed descriptions of engineering models as well as tools that can be used to support their development and verification (such as process analytical technology (PAT)) as well as the appropriate utilization of process and equipment knowledge. Typical scale-up challenges inspired by real industrial examples will be presented as well as a review of the latest correlations, theories and models that can form the basis for science-based scale-ups and transfers.

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.

6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.

This book:

Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI.

6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.

This book:

Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed.

The book also:

The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques, evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed.

The book also:

The book comprehensively discusses various deep learning-based tracking architectures along with conventional tracking methods. It covers in-depth analysis of various feature extraction techniques, evaluation metrics and benchmark available for performance evaluation of tracking frameworks. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Phytochemistry in Corrosion Science covers the use of plant extracts/phytochemicals in corrosion mitigation with industrial applications. It explores innovative and characterization approaches toward the utilization of plant extracts and their phytochemicals as potential corrosion inhibitors for several metals and their alloys.

Providing a comprehensive overview of the green aspects of plant extracts as corrosion inhibitors, this book discusses the preparation of aqueous and organic phase extracts, and their advantages, disadvantages, and use for different aggressive media. It also examines aqueous and organic extracts that have been successfully used as corrosion inhibitors for various metals and electrolyte combinations.

This book will be a useful reference for undergraduate and graduate students and academic researchers in the fields of phytochemistry, corrosion science and engineering, environmental science, chemical engineering, green chemistry, and mechanical/industrial engineering.

Phytochemistry in Corrosion Science covers the use of plant extracts/phytochemicals in corrosion mitigation with industrial applications. It explores innovative and characterization approaches toward the utilization of plant extracts and their phytochemicals as potential corrosion inhibitors for several metals and their alloys.

Providing a comprehensive overview of the green aspects of plant extracts as corrosion inhibitors, this book discusses the preparation of aqueous and organic phase extracts, and their advantages, disadvantages, and use for different aggressive media. It also examines aqueous and organic extracts that have been successfully used as corrosion inhibitors for various metals and electrolyte combinations.

This book will be a useful reference for undergraduate and graduate students and academic researchers in the fields of phytochemistry, corrosion science and engineering, environmental science, chemical engineering, green chemistry, and mechanical/industrial engineering.

This book covers all the recent advancements and technologies developed for encapsulated corrosion inhibitors-based coatings by using eco-benign and sustainable encapsulated smart coatings based on self-healing functionality. It includes overview of properties and applicability of encapsulated inhibitors, methodologies to detect corrosion, and recent developments made in the field of corrosion science to study the inhibition potential of encapsulated corrosion inhibitors for eco-benign smart coatings in several corrosive systems.

Features:

This book is aimed at researchers and graduate students of corrosion engineering, surface engineering, and chemistry engineering.

This book covers all the recent advancements and technologies developed for encapsulated corrosion inhibitors-based coatings by using eco-benign and sustainable encapsulated smart coatings based on self-healing functionality. It includes overview of properties and applicability of encapsulated inhibitors, methodologies to detect corrosion, and recent developments made in the field of corrosion science to study the inhibition potential of encapsulated corrosion inhibitors for eco-benign smart coatings in several corrosive systems.

Features:

This book is aimed at researchers and graduate students of corrosion engineering, surface engineering, and chemistry engineering.

This reference book explores the multifaceted problem of heavy metal contamination in the environment. Through its in-depth analysis, the book provides a thorough overview of the sources and pathways of heavy metals, their persistence in ecosystems, and the resulting health impacts on individuals and ecosystems. The chapters explore the diverse sources of contamination, including industrial activities, mining, agriculture, and urbanization, while examining the types of heavy metals found in the environment and their toxicological properties. The book further reviews the profound health effects associated with heavy metal exposure, such as neurological disorders, developmental abnormalities, carcinogenicity, and organ damage. Furthermore, the book provides insights into risk assessment methodologies, regulatory frameworks, and guidelines aimed at controlling and minimizing heavy metal exposure. It highlights the challenges and gaps in current regulations, identifies potential areas for improvement, and presents analytical techniques for heavy metal analysis and removal. This book is an important source for researchers and professionals working in the fields of environmental science, toxicology, and public health.

This reference book explores the multifaceted problem of heavy metal contamination in the environment. Through its in-depth analysis, the book provides a thorough overview of the sources and pathways of heavy metals, their persistence in ecosystems, and the resulting health impacts on individuals and ecosystems. The chapters explore the diverse sources of contamination, including industrial activities, mining, agriculture, and urbanization, while examining the types of heavy metals found in the environment and their toxicological properties. The book further reviews the profound health effects associated with heavy metal exposure, such as neurological disorders, developmental abnormalities, carcinogenicity, and organ damage. Furthermore, the book provides insights into risk assessment methodologies, regulatory frameworks, and guidelines aimed at controlling and minimizing heavy metal exposure. It highlights the challenges and gaps in current regulations, identifies potential areas for improvement, and presents analytical techniques for heavy metal analysis and removal. This book is an important source for researchers and professionals working in the fields of environmental science, toxicology, and public health.