Showing results for "s sumathi"

Food chemistry plays a vital role in food industry because it helps Food Technologists to understand the components and behavior of food and nutritionists to develop healthy diets. The main aim of nutritional professionals now is to apply nutrition principles to promote health and well-being, to prevent disease and to restore health in individuals, families and community. To achieve this goal, application of various scientific principles of food and food processing is essential. This book ...

Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and pr

மறுநாளும் இதே கதைதான் நடந்தது.'ஒவ்வொரு மனிதனையும் ஒரு வித ஒளி சூழ்ந்து நிற்கிறது.அவன் எதைத் தொட்டாலும், அவனுடைய இயல்பின் ஒரு கூறு, அதாவது அவனுடைய குணம் அந்தப் பொருளில் பதிகிறது. ஒவ்வொரு மனிதனிடமிருந்தும் அவனது குணம் ஒரு பௌதிக சக்தி போல் வெளிப்பட்டுக் கொண்டிருக்கிறது.'விவேகானந்தரின் இந்தக் கூற்றை அடிக்கடி அவளுடைய எம்.டி. மகேந்திரன் சொல்லிச் சொல்லிச் சம்யுக்தாவைப் பாராட்டுவார்."சம்யுக்தா... உன்கிட்ட கொடுக்கற ஒவ்வொரு வேலையிலும் உன் குணம் பிரதிபலிக்குதும்மா! உன்னோட ...

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications.Computationa...

This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision scienc...

Bioinformatics deals with computational and mathematical approaches for understanding and processing biological data. This book highlights the computational procedures and the applications evolving around biological data, including usage of decision sciences for a variety of applications, namely text mining, "OMIC" sciences, systems biology, analyzing biological/medical images, computer-aided diagnosis/treatment of diseases, decision sciences for public health with COVID-19 data, biodivers...

This book presents the research into and application of machine learning in quantum computation, known as quantum machine learning (QML). It presents a comparison of quantum machine learning, classical machine learning, and traditional programming, along with the usage of quantum computing, toward improving traditional machine learning algorithms through case studies.In summary, the book:Covers the core and fundamental aspects of statistics, quantum learning...

Information in today’s advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networ...

The application of field theoretic techniques to problems in condensed matter physics has generated an array of concepts and mathematical techniques to attack a range of problems such as the theory of quantum phase transitions, the quantum Hall effect, and quantum wires. While concepts such as the renormalization group, topology, and bosonization h

The text comprehensively discusses the representation of visual data and design principles of interactive and dynamic dashboards. It further covers the theoretical concept of inference and machine learning algorithms for making the concepts clear to the reader. The book illustrates important topics such as data testing a parametric hypothesis, data testing a non-parametric hypothesis, exploratory data analysis, outlier detection and interpretation.This book:...

The purpose of this edited book is to provide the relevant technologies and case studies in a concise format that will simplify and streamline the processing of blockchain. The goal is for the contents of this book to change the way business transformations are conducting in economic and social systems.The book examines blockchain technology, the transaction attributes, and its footprint in various fields. It offers fundamentals and terminologies used in blockchain, architecture, a...

Empires of Vision brings together pieces by some of the most influential scholars working at the intersection of visual culture studies and the history of European imperialism. The essays and excerpts focus on the paintings, maps, geographical surveys, postcards, photographs, and other media that comprise the visual milieu of colonization, struggles for decolonization, and the lingering effects of empire. Taken together, they demonstrate that an appreciation of the role of visual ...