Nikhil Gupta – författare

This book demonstrates the variety of metamaterials in presented in the scholarly, research literature—their compositions, manufacturing methods, and applications. It reviews critical work appearing in over 400 papers published within the last five years discussing these materials. This volume summarizes the main findings of this topic for a graduate level beginners in the field of mechanical engineering, materials science, manufacturing engineering and electrical engineering.

This book demonstrates the variety of metamaterials in presented in the scholarly, research literature—their compositions, manufacturing methods, and applications. It reviews critical work appearing in over 400 papers published within the last five years discussing these materials. This volume summarizes the main findings of this topic for a graduate level beginners in the field of mechanical engineering, materials science, manufacturing engineering and electrical engineering.

Reinforced Syntactic Foams: Effect of Nano and Micro-Scale Reinforcement examines the fabrication processes, mechanism of reinforcement, and structure-property correlations of reinforced syntactic foams. The authors present the state of the art in this field, compare the properties of various types of syntactic foam systems comprising different matrix, hollow particle, and reinforcement materials. The book further identifies theories useful in predicting the properties of reinforced syntactic foams and conducting parametric studies to understand the possibility for tailoring their properties.

Reinforced Syntactic Foams: Effect of Nano and Micro-Scale Reinforcement examines the fabrication processes, mechanism of reinforcement, and structure-property correlations of reinforced syntactic foams. The authors present the state of the art in this field, compare the properties of various types of syntactic foam systems comprising different matrix, hollow particle, and reinforcement materials. The book further identifies theories useful in predicting the properties of reinforced syntactic foams and conducting parametric studies to understand the possibility for tailoring their properties.

This book presents an extensive review of literature on the properties of carbon nanofibers (CNF) reinforced polymer composites in conjunction with advances in the production and properties of CNFs. It further provides readers a view into the development of lightweight composites whose properties are tailored and enhanced with micro- and nano-reinforcement, along with results from data comparisons from several published investigations.

This book presents an extensive review of literature on the properties of carbon nanofibers (CNF) reinforced polymer composites in conjunction with advances in the production and properties of CNFs. It further provides readers a view into the development of lightweight composites whose properties are tailored and enhanced with micro- and nano-reinforcement, along with results from data comparisons from several published investigations.

Research Paper (undergraduate) from the year 2019 in the subject Engineering - Computer Engineering, grade: 4, , course: BTECH, language: English, abstract: The Student result analysis and Performance report generator used in generating the performance report of students according to year, branch, section and subject wise which is quite difficult and time-consuming process in every college. The Student Result Analysis and performance Report Generator helps the teacher to analyze the result and generates its report by just one clicks and it also allows the students to see their academic performance subject, year or semester wise by just only uploading there result PDF file. Hod of department can see the pass percentage of the student through pictorial repetition which can be categorized subject wise, section wise, overall performance of branch or single student result. It's a web based application which can be accessed from anywhere through web browser.

IT IS A WONDERFUL STORY, but time after time in the decades since Independence, it stops short midway. India is poised for growth. The GDP is rising. The lumbering elephant is turning into a tiger. But the leap doesn''t quite happen. There has been enormous change, but alongside the problems have also been rising. And for a large mass of people, it remains a future of brutal poverty. If India is to meet the needs of its people, it has to consistently generate enough jobs for the millions of youth who enter the job market every year, and build up an infrastructure in which there is enough to go round for education, health and security of its population. Nikhil Gupta, chief economist with a leading brokerage, has been a close observer of the policies and factors that help India grow. As he puts it, an economy consists of four participants-households, corporate, government and external-and just three activities: consumption, savings/investment and external trade. However, the lack of attention to the finances of the household sector and the unlisted corporate sector is shocking. As too the gap between the real and the financial economy. It is these and other gaps in this complicated scenario that Gupta tries to bridge. The Eight per cent Solution presents Gupta''s version of a grand unified theory that brings in the neglected but important elements to show how India can finally achieve that elusive target of a higher phase of growth.

Blockchain Engineering: Mathematical Foundations provides a comprehensive and technically rigorous examination of the mathematical principles underlying secure, scalable, and sustainable blockchain infrastructure. Designed for engineers, researchers, and advanced students, this resource explores the foundational concepts that enable decentralized system design and implementation. The book emphasizes formal reasoning and precise mathematical approaches to blockchain architecture. Key topics include cryptographic primitives, consensus algorithms, distributed ledger structures, and security protocols. Readers examine hash functions, digital signatures, Merkle trees, Byzantine fault tolerance, and proof mechanisms in depth. The text addresses scalability challenges, network protocols, and system optimization strategies. Rather than offering superficial overviews or programming tutorials, this book provides rigorous mathematical treatment of blockchain fundamentals. Content covers formal verification methods, protocol design principles, and theoretical foundations essential for advanced blockchain development. The material serves both as a textbook for graduate-level courses and as a reference for protocol designers and blockchain researchers. Through careful mathematical exposition, the book equips readers with deep understanding of the principles enabling secure decentralized systems.

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises. Whether you are new to Databricks and trying to learn a new platform,  a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will LearnFoundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topics Who This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning.

 

Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today''s GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization.

 

Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises.

 

Whether you are new to Databricks and trying to learn a new platform,  a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams.

 

What You Will Learn

Foundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topics

 

Who This Book Is For

Solution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.