This book has been designed to be as a fundamental textbook on surveying, covering all aspects—theory and practical (cases, examples)—for civil engineering students at both degree and diploma level. Written with a student-friendly approach, the book contains solved examples and illustrations for easy understanding of the subject. First ten chapters are the essential concepts needed to be studied in the first semester and the next eight chapters include advanced topics on triangulation, photogrammetry, remote sensing and astronomy that are meant for higher semesters. Details of survey camp work and extensive survey projects are also dealt with in the chapters and in an Appendix separately. Emphasis is given to the systematic and detailed presentation of topics in one volume to benefit the students in their course work. Key features Illustrative Figures exemplify the theories profoundly Exhaustive Solved Examples to help students grasp the concepts easily Analytical Exercises and Numerical Problems to judge students’ comprehension on the subject
M.Sangeetha, Assistant Professor, Department of Computer Science, K.S.R College of Arts and Science for Women, Tiruchengode, Tamil Nadu, India. R.Prema, Assistant Professor, Department of Computer Science, K.S.R College of Arts and Science for Women, Tiruchengode, Tamil Nadu, India. G.Anwar Basha, Assistant Professor, Department of Computer Science, K.S.R College of Arts and Science for Women, Tiruchengode, Tamil Nadu, India. S.Vijayalakshmi, Assistant Professor, Department of Computer Science, K.S.R College of Arts and Science for Women, Tiruchengode, Tamil Nadu, India.
The second edition of this book provides a comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence, which in recent years, has turned synonymous to it. The constituent technologies discussed comprise neural network (NN), fuzzy system (FS), evolutionary algorithm (EA), and a number of hybrid systems, which include classes such as neuro-fuzzy, evolutionary-fuzzy, and neuro-evolutionary systems. The hybridization of the technologies is demonstrated on architectures such as fuzzy backpropagation network (NN-FS hybrid), genetic algorithm-based backpropagation network (NN-EA hybrid), simplified fuzzy ARTMAP (NN-FS hybrid), fuzzy associative memory (NN-FS hybrid), fuzzy logic controlled genetic algorithm (EA-FS hybrid) and evolutionary extreme learning machine (NN-EA hybrid) Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book, with a wealth of information that is clearly presented and illustrated by many examples and applications, is designed for use as a text for the courses in soft computing at both the senior undergraduate and first-year postgraduate levels of computer science and engineering. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.
Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key FeaturesApply popular machine learning algorithms using a recipe-based approachImplement boosting, bagging, and stacking ensemble methods to improve machine learning modelsDiscover real-world ensemble applications and encounter complex challenges in Kaggle competitionsBook Description Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking. The Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You'll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. It will also ensure that you don't miss out on key topics, such as like resampling methods. As you progress, you’ll get a better understanding of bagging, boosting, stacking, and working with the Random Forest algorithm using real-world examples. The book will highlight how these ensemble methods use multiple models to improve machine learning results, as compared to a single model. In the concluding chapters, you'll delve into advanced ensemble models using neural networks, natural language processing, and more. You’ll also be able to implement models such as fraud detection, text categorization, and sentiment analysis. By the end of this book, you'll be able to harness ensemble techniques and the working mechanisms of machine learning algorithms to build intelligent models using individual recipes. What you will learnUnderstand how to use machine learning algorithms for regression and classification problemsImplement ensemble techniques such as averaging, weighted averaging, and max-votingGet to grips with advanced ensemble methods, such as bootstrapping, bagging, and stackingUse Random Forest for tasks such as classification and regressionImplement an ensemble of homogeneous and heterogeneous machine learning algorithmsLearn and implement various boosting techniques, such as AdaBoost, Gradient Boosting Machine, and XGBoostWho this book is for This book is designed for data scientists, machine learning developers, and deep learning enthusiasts who want to delve into machine learning algorithms to build powerful ensemble models. Working knowledge of Python programming and basic statistics is a must to help you grasp the concepts in the book.
This Book Is Meant For Endocrinologists And Pediatricians. It Deals With The Various Hormone Defects That Children May Be Born With (For Example A Child With Growth Hormone Deficiency Will Be Of Short Stature). The Primary Objective Of The Book Is To Provide Useful And Practical Information That Can Be Used In The Indian Context.
Dr.T.Suresh, Assistant Professor, Department of Computer Science, Government Arts and Science College, Perambalur, Tamil Nadu, India. Dr.M.Parveen, Professor and Head, Department of Information Technology, Cauvery College for Women (Autonomous), Tiruchirapalli, Tamil Nadu, India. Dr.M.Subalakshmi, Assistant Professor, Department of Computer Science, Sri Saradha College for Women, Perambalur, Tamil Nadu, India. Mrs.A.Sahaya Jenitha, Associate Professor, Department of Computer Science, Cauvery College for Women,Tiruchirapalli, Tamil Nadu, India. Dr.V.Vijayalakshmi, Assistant Professor & Head, PG & Research Department of Computer Science, Government Arts College, Ariyalur, Tamil Nadu, India.
Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert. With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.
This book provides a comprehensive guide to Acute Rheumatic Fever (ARF) and Chronic Rheumatic Heart Disease RHD). Beginning with a review of the history of these conditions, the text continues with a discussion on the pathology and diagnosis of both ARF and RHD, the role of echocardiography, management of the conditions, including during pregnancy; treatment and much more. The book is accompanied by a DVD of echocardiographic videos to assist in the detection and diagnosis of the diseases.
Cardiac Catheterization and Imaging is an all-encompassing, richly illustrated guide to cardiac catheterisation and catheter-based intervention, from the foetus to the geriatric patient. The book is divided into 72 chapters across twelve sections, covering everything from the history of cardiac catheterisation, patient preparation, imaging modalities available in preparation and during the procedure, and the equipment required. Beginning with the history and basics of catheterisation, and a section on haemodynamics, subsequent sections cover a range of interventional techniques for heart disease. Further sections bring the text firmly up to date, with recent techniques in valvular aortic disease covered, a chapter on current indications for interventions in adults with congenital heart disease, and the latest equipment available for cardiovascular support. Each chapter concerning a specific condition follows a regular format; a concise discussion on the disorder, indications, procedural details, precautions, and potential pitfalls. With nearly 2100 images and illustrations, spanning 1134 pages, Cardiac Catheterization and Imaging is an invaluable, comprehensive resource for cardiologists. Key Points Comprehensive, illustrated guide to cardiac catheterisation from foetus to geriatric patient Covers history, basics, haemodynamics, various interventions and equipment 2097 images and illustrations
Congenital heart disease (CHD) is a problem with the structure and function of the heart that is present at birth and is the most common type of birth defect (PubMed Health). This comprehensive guide offers a step by step approach to the diagnosis and management of different types of CHD, at different stages of life. Beginning with an introduction to the development of the foetal cardiovascular system and genetic, the following section discusses the basics of heart examination, radiography and terminology. Each section progresses through different conditions and examines the transition of care into adulthood and long term issues facing adults with CHD. Key points Comprehensive, step by step guide to congenital heart disease (CHD) Covers diagnosis and management of CHD disorders at all stages of life Internationally recognised author and editor team Includes more than 1000 full colour images and illustrations
Mrs.R.K.Vijayalakshmi, Assistant Professor, Department of ComputerApplications, Mannar Thirumalai Naicker College, Madurai, Tamil Nadu, India. Mrs.N.Hemavathi, Assistant Professor, Department of Computer Science, Mannar Thirumalai Naicker College, Madurai, Tamil Nadu, India. Mrs.K.Vishnupriya, Assistant Professor, Department of Computer Applications, Mannar Thirumalai Naicker College, Madurai, Tamil Nadu, India. Mrs.V.Bhavani, Assistant Professor, Department of Information Technology, Mannar Thirumalai Naicker College, Madurai, Tamil Nadu, India.
This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.
This book presents a comparative history of slavery and the transition from slavery to free labour in Zanzibar and Mauritius, within the context of a wider comparative study of the subject in the Atlantic and Indian Ocean worlds. Both countries are islands, with roughly the same size of area and populations, a common colonial history, and both are multicultural societies. However, despite inhabiting and using the same oceanic space, there are differences in experiences and structures which deserve to be explored. In the nineteenth century, two types of slave systems developed on the islands – while Zanzibar represented a variant of an Indian Ocean slave system, Mauritius represented a variant of the Atlantic system – yet both flourished when the world was already under the hegemony of the global capitalist mode of production. This comparison, therefore, has to be seen in the context of their specific historical conjunctures and the types of slave systems in the overall theoretical conception of modes of production within which they manifested themselves, a concept that has become unfashionable but which is still essential. The starting point of many such efforts to compare slave systems has naturally been the much-studied slavery in the Atlantic region which has been used to provide a paradigm with which to study any type of slavery anywhere in the world. However, while Mauritian slavery was 100 per cent colonial slavery, slavery in Zanzibar has been described as ‘Islamic slavery’. Both established plantation economies, although with different products, Zanzibar with cloves and Mauritius with sugar, and in both cases, the slaves faced a potential conflictual situation between former masters and slaves in the post-emancipation period.
Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert. With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.
Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic. Therefore, the content of the book has been pragmatically structured across three volumes and kept comprehensive enough to help them in their progression from novice to expert. With this in mind, the book details concepts, techniques and applications pertaining to data structures and algorithms, independent of any programming language. It includes 181 illustrative problems and 276 review questions to reinforce a theoretical understanding and presents a suggestive list of 108 programming assignments to aid in the implementation of the methods covered.
S.Vijayalakshmi Assistant Professor & Head, Department of Computer Science, K.S.R College of Arts and Science for Women, Tiruchengode, Tamil Nadu, India. M.Sangeetha, Assistant Professor, Department of Computer Science, K.S.R College of arts and science for women in Tiruchengode, Tamil Nadu, India. R.Prema, Assistant Professor, Department of Computer Science, K.S.R College of Arts and Science for Women, Tiruchengode, Tamil Nadu, India. R.Suganya, Assistant Professor, Department of Computer Science, K.S.R College of Arts and Science for Women, Tiruchengode, Tamil Nadu, India.
This book provides extensive resource material in the frontier and future areas in food safety and standards – laws, tools and management. It also caters information regarding food packaging and labelling, accreditation, auditing and water safety in food processing industries. The book also highlights food safety precautions during covid 19 and is a comprehensive handbook to meet the needs of the students' pursing courses in the field of nutrition, food science, food technology and allied courses at universities/colleges. Food Safety and Standards in a broader sense implies concepts in laws, tools, acts, management, risk analysis, and quality control. The book emphasises on the concept of food hygiene and safety to be followed throughout the process of handling food, right from farm to plate; for delivering safe food to the consumers. It provides awareness about importance of nutrition labelling for various food products, including nutraceuticals, organic and functional foods. Different food packaging techniques like nano technologies, bioactive technologies and modified atmosphere packaging are also covered. To be healthy and reduce malnutrition, there is need for consumption of nutritious food and for gaining this nutrition it needs to be prepared hygienically following all the safety and hygiene standards. Thus, this book draws attention of the readers/students/researchers/food industrialists/teachers towards food safety for breaking the vicious cycle of foodborne illnesses via encouraging safe food preparations.
The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results using MATLAB implementations, over live portfolios invested across global stock universes. The book has been structured in such a way that, even novices in finance or metaheuristics should be able to comprehend and work on the hybrid models discussed in the book.
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