Artículos relacionados a Machine Learning for Advanced Functional Materials

Machine Learning for Advanced Functional Materials - Tapa dura

 
9789819903924: Machine Learning for Advanced Functional Materials

Sinopsis

This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Dr. Niravkumar J. Joshi is Physicist, having completed his doctorate at the Maharaja Sayajirao University of Baroda, India. He is Visiting Professor at Federal University of ABC, Brazil. He has postdoctoral experience from South Korea, Brazil, and at the University of California Berkeley, USA, where he developed selective and sensitive microsensors by MEMS techniques. His present research focuses on the synthesis and characterization of oxide nanostructures and 2D material-based gas sensors.

Dr. Vinod Kushvaha earned his Dual Degree (B. Tech. + M. Tech.) from the Indian Institute of Technology Bombay (IIT Bombay) in Civil Engineering (Specialization in Structural Engineering), following that he earned his second master’s and a Ph.D. degree in Mechanical Engineering (focused on Fracture Characterization of Composite Materials under Impact Loading) at Auburn University, Auburn, AL, USA. Presently, Vinod is working at the Indian Institute of Technology Jammu (IIT Jammu) as Assistant Professor in the Civil Engineering department. 
Dr. Priyanka Madhushri is Internet of Things (IoT) Ideation Research Engineer at Stanley Black and Decker (SBD), Atlanta. Priyanka obtained her Ph.D. in Electrical Engineering from University of Alabama in Huntsville, AL, USA. Currently, she works with the innovation team and brings new ideas to a variety of projects. As Researcher, she provides Proof of Concept (POC) to various SBD teams and assists in the development of company’s software, hardware, and data analytics. Her research interests include the predictive analyses using machine learning, material modeling, Internet of things (IoT), mobile computing, etc. She has published in various engineering fields including materials journals where her work was focused on utilizing various machine learning algorithms to predict and explain mechanical behavior of advanced engineering materials.

De la contraportada

This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material’s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar usado

Zustand: Hervorragend | Seiten:...
Ver este artículo

EUR 14,90 gastos de envío desde Alemania a España

Destinos, gastos y plazos de envío

Comprar nuevo

Ver este artículo

EUR 19,49 gastos de envío desde Alemania a España

Destinos, gastos y plazos de envío

Otras ediciones populares con el mismo título

9789819903955: Machine Learning for Advanced Functional Materials

Edición Destacada

ISBN 10:  9819903955 ISBN 13:  9789819903955
Editorial: Springer, 2024
Tapa blanda

Resultados de la búsqueda para Machine Learning for Advanced Functional Materials

Imagen de archivo

Unbekannt
Publicado por Springer Nature Singapore, 2023
ISBN 10: 9819903920 ISBN 13: 9789819903924
Antiguo o usado Tapa dura

Librería: Buchpark, Trebbin, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 312 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 41402307/1

Contactar al vendedor

Comprar usado

EUR 82,26
Convertir moneda
Gastos de envío: EUR 14,90
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen del vendedor

ISBN 10: 9819903920 ISBN 13: 9789819903924
Nuevo Tapa dura
Impresión bajo demanda

Librería: moluna, Greven, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct. Nº de ref. del artículo: 795456470

Contactar al vendedor

Comprar nuevo

EUR 141,30
Convertir moneda
Gastos de envío: EUR 19,49
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Nirav Joshi
ISBN 10: 9819903920 ISBN 13: 9789819903924
Nuevo Tapa dura
Impresión bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material's electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods. 312 pp. Englisch. Nº de ref. del artículo: 9789819903924

Contactar al vendedor

Comprar nuevo

EUR 171,19
Convertir moneda
Gastos de envío: EUR 11,00
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen del vendedor

Nirav Joshi
Publicado por Springer Nature Singapore, 2023
ISBN 10: 9819903920 ISBN 13: 9789819903924
Nuevo Tapa dura

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material's electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods. Nº de ref. del artículo: 9789819903924

Contactar al vendedor

Comprar nuevo

EUR 175,09
Convertir moneda
Gastos de envío: EUR 11,99
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen del vendedor

Nirav Joshi
ISBN 10: 9819903920 ISBN 13: 9789819903924
Nuevo Tapa dura

Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Buch. Condición: Neu. Neuware -This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the material¿s electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. Nº de ref. del artículo: 9789819903924

Contactar al vendedor

Comprar nuevo

EUR 171,19
Convertir moneda
Gastos de envío: EUR 35,00
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen de archivo

Nirav Joshi
ISBN 10: 9819903920 ISBN 13: 9789819903924
Nuevo Tapa dura

Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Hardcover. Condición: new. Hardcover. This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. It provides an introduction to the field and for those who wish to explore machine learning in modeling as well as conduct data analyses of material characteristics. The book discusses ways to enhance the materials electrical and mechanical properties based on available regression methods for supervised learning and optimization of material attributes. In summary, the growing interest among academics and professionals in the field of machine learning methods in functional nanomaterials such as sensors, solar cells, and photocatalysis is the driving force for behind this book. This is a comprehensive scientific reference book on machine learning for advanced functional materials and provides an in-depth examination of recent achievements in material science by focusing on topical issues using machine learning methods. This book presents recent advancements of machine learning methods and their applications in material science and nanotechnologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789819903924

Contactar al vendedor

Comprar nuevo

EUR 174,54
Convertir moneda
Gastos de envío: EUR 63,85
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Joshi, Nirav (Editor)/ Kushvaha, Vinod (Editor)/ Madhushri, Priyanka (Editor)
Publicado por Springer Nature, 2023
ISBN 10: 9819903920 ISBN 13: 9789819903924
Nuevo Tapa dura

Librería: Revaluation Books, Exeter, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Hardcover. Condición: Brand New. 311 pages. 9.25x6.10x0.71 inches. In Stock. Nº de ref. del artículo: x-9819903920

Contactar al vendedor

Comprar nuevo

EUR 244,16
Convertir moneda
Gastos de envío: EUR 11,44
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito