Explainable Ambient Intelligence (XAmI) PDF Download
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Author: Tin-Chih Toly Chen
Publisher: Springer Nature
ISBN: 303154935X
Category :
Languages : en
Pages : 113
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Book Description
Author: Tin-Chih Toly Chen
Publisher: Springer Nature
ISBN: 303154935X
Category :
Languages : en
Pages : 113
Get Book Here
Book Description
Author: Tin-Chih Toly Chen
Publisher: Springer Nature
ISBN: 3031594436
Category :
Languages : en
Pages : 103
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Book Description
Author: Rai, Mritunjay
Publisher: IGI Global
ISBN:
Category : Psychology
Languages : en
Pages : 333
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Book Description
Computer understanding of human emotions has become crucial and complex within the era of digital interaction and artificial intelligence. Emotion detection, a field within AI, holds promise for enhancing user experiences, personalizing services, and revolutionizing industries. However, navigating this landscape requires a deep understanding of machine and deep learning techniques and the interdisciplinary challenges accompanying them. Machine and Deep Learning Techniques for Emotion Detection offer a comprehensive solution to this pressing problem. Designed for academic scholars, practitioners, and students, it is a guiding light through the intricate terrain of emotion detection. By blending theoretical insights with practical implementations and real-world case studies, our book equips readers with the knowledge and tools needed to advance the frontier of emotion analysis using machine and deep learning methodologies.
Author: Murat Bengisu
Publisher: Springer
ISBN: 3319768891
Category : Technology & Engineering
Languages : en
Pages : 147
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Book Description
This book presents a design-driven investigation into smart materials developed by chemists, physicists, materials and chemical engineers, and applied by designers to consumer products, buildings, interfaces, or textiles. Introducing a class of smart materials (referred to as stimuli-responsive, morphing or kinetic materials) that move and change their shape in response to stimuli, the book presents their characteristics, advantages, potentials, as well as the difficulties involved in their application. The book also presents a large number of case studies on products, projects, concepts, and experiments employing smart materials, thus mapping out new design territories for these innovative materials. The case studies involve different fields of design, including product, interior, fashion, and communication design. Reflecting the growing demand for sustainable and human-centered design agendas, the book explores and reveals the role and influence of these new materials and technologies on design and human experience, and discusses how they can be used to redefine our objects and spaces so as to promote more resilient environments. The book offers an intriguing and valuable resource for design professionals, engineers, scientists and students alike.
Author: Rohit Raja
Publisher: John Wiley & Sons
ISBN: 1119791782
Category : Computers
Languages : en
Pages : 500
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Book Description
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered to obtain accurate results. The most common technologies used include classification and clustering methods. Accuracy and error rates are calculated for regression and classification and clustering to find actual results through algorithms like support vector machines and neural networks with forward and backward propagation. Applications include fraud detection, image processing, medical diagnosis, weather prediction, e-commerce and so forth. The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies and future research directions used to meet the design and application requirements of several modern and real-time applications for a long time, The scope and implementation of a majority of data mining and machine learning strategies. A discussion of real-time problems. Audience Industry and academic researchers, scientists, and engineers in information technology, data science and machine and deep learning, as well as artificial intelligence more broadly.
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Aleksandra Przegalinska
Publisher: Palgrave Pivot
ISBN: 9783030009069
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This innovative book considers the positive and negative impact of wearable technologies on organization and work. First discussing the development and use of this software within the workspace, the author highlights potential issues such as privacy, addiction and lack of work efficiency. Technology has had a major impact on workspace and workforce, and the second section explores how it has emerged as a key driver of collaboration, and what the shortfalls are in terms of autonomy, solidarity and authenticity. Cloud technology, mobile technology, collaboration apps, the Internet of Things, and highly specialized AI bear the promise of a radical enhancement of the way we work and interact. This book discusses the potential future scenarios for wearable technologies in the context of the IoT and as a social and organizational phenomenon.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 172
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Book Description
Author: Ioannis Chatzigiannakis
Publisher: Springer Nature
ISBN: 3030342557
Category : Computers
Languages : en
Pages : 391
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Book Description
This book constitutes the refereed proceedings of the 15th European Conference on Ambient Intelligence, AmI 2019, held in Rome, Italy, in November 2019. The 20 full papers presented together with 10 short papers were carefully reviewed and selected from 50 submissions. The papers cover topics such as embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (e.g., the Internet of Things). The main topic of AmI 2019 was “Data-driven Ambient Intelligence,” which follows the vision of Calm Technology, where technology is useful but does not demand our full attention or interfere with our usual behavior and activities.
Author: Costin Badica
Publisher: Springer
ISBN: 3319488295
Category : Technology & Engineering
Languages : en
Pages : 254
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Book Description
This book presents the combined peer-reviewed proceedings of the tenth International Symposium on Intelligent Distributed Computing (IDC’2016), which was held in Paris, France from October 10th to 12th, 2016. The 23 contributions address a range of topics related to theory and application of intelligent distributed computing, including: Intelligent Distributed Agent-Based Systems, Ambient Intelligence and Social Networks, Computational Sustainability, Intelligent Distributed Knowledge Representation and Processing, Smart Networks, Networked Intelligence and Intelligent Distributed Applications, amongst others.
