subramaniam umashankar (154 risultati)

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Paperback. Condizione: new. Paperback. Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book.This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning. The book discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. 407 pages.

Condizione: New.

Condizione: New.

Condizione: New. 407 pages.

hardcover. Condizione: Very Good. Nice copy of this hardcover; appears unread. Binding is tight. Covers are clean and crisp. Pages appear bright and unmarked. Ships FAST!

Condizione: New. In.

Condizione: New. In.

Condizione: New.

Condizione: New. 407 pages.

Condizione: As New. Unread book in perfect condition.

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Paperback. Condizione: new. Paperback. Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book.This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning. The book discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. Neuware -In recent years there has been a substantial increase in the demand for controllable reactive power sources which can compensate for large lagging loads. These requirements involve precise and continuous reactive power control with fast response time and avoidance of harmonic line current generation. Solid state Var compensators using forced commutated converters have been developed and are being used for this purpose. Active power filtering (APF) can provide VAr compensation by injecting equal but opposite distortion at selected points in a network. The objective of this project is to design an Active Power Filter (APF) using Voltage Source Inverter (VSI) to achieve reactive power compensation. It is achieved by forcing the inverter line current to follow a reactive sinusoidal reference at a constant switching frequency. The current reference generator has been designed for both lagging and leading reactive power conditions. The reactive power requirements of a bridge rectifier connected load are estimated using the above current reference generator. Using this, an APF is designed to compensate the reactive power requirements of the above load.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.

Paperback. Condizione: Brand New. 386 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condizione: Brand New. 406 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

Taschenbuch. Condizione: Neu. Shunt Active Power Filter | Harmonic Elimination and Reactive Power Compensation for Low Voltage Distribution Systems | Umashankar Subramaniam | Taschenbuch | 56 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846513378 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condizione: new. Paperback. Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book.This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning. The book discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. Neuware - Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes.

Hardcover. Condizione: new. Hardcover. SMART GRIDS AND MICROGRIDS Written and edited by a team of experts in the field, this is the most comprehensive and up-to-date study of smart grids and microgrids for engineers, scientists, students, and other professionals. The power supply is one of the most important issues of our time. In every country, all over the world, from refrigerators to coffee makers to heating and cooling, almost everyone in the world needs to have access to power. As the global demand rises, new methods of delivering power, such as smart grids and microgrids, have, out of necessity or choice, been developed and researched. In this book, modern and advanced concepts of both microgrid and smart grid technology are introduced. Beginning from the brief fundamental concepts of microgrids and its various constituents this team of experts discusses different architectures, control issues, communication challenges, measurement, stability, power quality and mitigation, protection, and power electronic aspects of the microgrid system. Through this book, tools and techniques needed to design both microgrids and smart grids are discussed. Recent and developing topics like smart meter impact, remote data monitoring, communication protocols, cybersecurity, artificial intelligence, big data, IoT, and many others are covered. Furthermore, this new volume also covers simulation and stability analysis tools pertaining to microgrids and smart grids. Throughout the book, detailed examples of microgrid and smart grid design and development strategies are provided, based on different constraints and requirements. Case studies, numerical models, and design examples are also included. Whether for the veteran engineer or student, this is a must-have volume for any library. Audience: Engineers, scientists, industry professionals, students, and other lay people involved in the business of smart grids and microgrids Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. The increasing demand for electronic devices for private and industrial purposes lead designers and researchers to explore new electronic devices and circuits that can perform several tasks efficiently with low IC area and low power consumption. In addition, the increasing demand for portable devices intensifies the call from industry to design sensor elements, an efficient storage cell, and large capacity memory elements. Several industry-related issues have also forced a redesign of basic electronic components for certain specific applications. The researchers, designers, and students working in the area of electronic devices, circuits, and materials sometimesneed standard examples with certain specifications. This breakthrough work presents this knowledge of standard electronic device and circuit design analysis, including advanced technologies and materials. This outstanding new volume presents the basic concepts and fundamentals behind devices, circuits, and systems. It is a valuable reference for the veteran engineer and a learning tool for the student, the practicing engineer, or an engineer from another field crossing over into electrical engineering. It is a must-have for any library. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: new.

Hardcover. Condizione: new. Hardcover. Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. Real-time case studies are included across several different fields such as Image Processing, Text Mining, Healthcare, Finance, Digital Marketing, and HR Analytics. The book also introduces a statistical background and probabilistic framework to enhance the understanding of continuous distributions. Topics such as Ensemble Models, Deep Learning Models, Artificial Neural Networks, Expert Systems, and Decision-Based Systems round out the offerings of this book.This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning. The book discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.