Librería: California Books, Miami, FL, Estados Unidos de America
EUR 63,53
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 60,87
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 104,66
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 185,30
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 182,70
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 182,70
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 182,70
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Buchpark, Trebbin, Alemania
EUR 93,23
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research community due to its applicability in various real-world scenarios. This book provides a comprehensive review of state-of-the-art UDA methods and explores new variants of UDA that have the potential to advance the field.The book begins with a clear introduction to the UDA problem and is mainly organized into four technical sections, each focused on a specific piece of UDA research. The first section covers criterion optimization-based UDA, which aims to learn domain-invariant representations by minimizing the discrepancy between source and target domains. The second section discusses bi-classifier adversarial learning-based UDA, which creatively leverages adversarial learning by conducting a minimax game between the feature extractor and two task classifiers. The third section introduces source-free UDA, a novel UDA setting that does not require any raw data from the source domain. The fourth section presents active learning for UDA, which combines domain adaptation and active learning to reduce the amount of labeled data needed for adaptation.This book is suitable for researchers, graduate students, and practitioners who are interested in UDA and its applications in various fields, primarily in computer vision. The chapters are authored by leading experts in the field and provide a comprehensive and in-depth analysis of the current UDA methods and new directions for future research. With its broad coverage and cutting-edge research, this book is a valuable resource for anyone looking to advance their knowledge of UDA.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 203,81
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 204,02
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 204,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 209,12
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 227,65
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2024
ISBN 10: 3031718208 ISBN 13: 9783031718205
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 228,41
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition. This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 224,90
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. XV + 278.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 218,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 218,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 218,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 229,10
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 229,49
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 2024th edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 230,83
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Librería: preigu, Osnabrück, Alemania
EUR 164,75
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support | Kyandoghere Kyamakya (u. a.) | Taschenbuch | xv | Englisch | 2025 | Springer | EAN 9783031718236 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 249,71
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Springer International Publishing, 2023
ISBN 10: 3030901211 ISBN 13: 9783030901219
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 181,89
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Idioma: Inglés
Publicado por Springer International Publishing, 2022
ISBN 10: 3030901181 ISBN 13: 9783030901189
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 181,89
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer International Publishing Nov 2024, 2024
ISBN 10: 3031718208 ISBN 13: 9783031718205
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 192,59
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware -This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 296 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan, 2025
ISBN 10: 3031718232 ISBN 13: 9783031718236
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 192,59
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer International Publishing, 2024
ISBN 10: 3031718208 ISBN 13: 9783031718205
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 192,59
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 262,96
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 680.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 269,25
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. XIV, 649 525 illus., 357 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.