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Advances in Artificial Intelligence - SBIA 2012

2012-10-05 Computers
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Release : 2012-10-05
Genre : Computers
Kind : eBook
Book Rating : 593/5 ( reviews)

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Book Synopsis Advances in Artificial Intelligence - SBIA 2012 by : Leliane N. Barros

Download or read book Advances in Artificial Intelligence - SBIA 2012 written by Leliane N. Barros. This book was released on 2012-10-05. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st Brazilian Symposium on Artificial Intelligence, SBIA 2012, held in Curitiba, Brazil, in October 2012. The 23 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers cover the following topics: knowledge representation, machine learning, machine learning and computer vision, agent-based and multi-agent systems, robotics and language, as well as constraints.

Advances in Artificial Intelligence -- IBERAMIA 2012

2012-11-15 Computers
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Release : 2012-11-15
Genre : Computers
Kind : eBook
Book Rating : 545/5 ( reviews)

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Book Synopsis Advances in Artificial Intelligence -- IBERAMIA 2012 by : Juan Pavón

Download or read book Advances in Artificial Intelligence -- IBERAMIA 2012 written by Juan Pavón. This book was released on 2012-11-15. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2012, held in Cartagena de Indias, Colombia, in November 2012. The 75 papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on knowledge representation and reasoning, information and knowledge processing, knowledge discovery and data mining, machine learning, bio-inspired computing, fuzzy systems, modelling and simulation, ambient intelligence, multi-agent systems, human-computer interaction, natural language processing, computer vision and robotics, planning and scheduling, AI in education, and knowledge engineering and applications.

Advanced Technologies, Systems, and Applications II

2018-01-30 Technology & Engineering
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Release : 2018-01-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 213/5 ( reviews)

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Book Synopsis Advanced Technologies, Systems, and Applications II by : Mirsad Hadžikadić

Download or read book Advanced Technologies, Systems, and Applications II written by Mirsad Hadžikadić. This book was released on 2018-01-30. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative and interdisciplinary applications of advanced technologies. It includes the scientific outcomes of the 9th DAYS OF BHAAAS (Bosnian-Herzegovinian American Academy of Arts and Sciences) held in Banja Vrućica, Teslić, Bosnia and Herzegovina on May 25–28, 2017. This unique book offers a comprehensive, multidisciplinary and interdisciplinary overview of the latest developments in a broad section of technologies and methodologies, viewed through the prism of applications in computing, networking, information technology, robotics, complex systems, communications, energy, mechanical engineering, economics and medicine, to name just a few.

Applied Machine Learning for Assisted Living

2022-08-29 Medical
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Release : 2022-08-29
Genre : Medical
Kind : eBook
Book Rating : 341/5 ( reviews)

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Book Synopsis Applied Machine Learning for Assisted Living by : Zia Uddin

Download or read book Applied Machine Learning for Assisted Living written by Zia Uddin. This book was released on 2022-08-29. Available in PDF, EPUB and Kindle. Book excerpt: User care at home is a matter of great concern since unforeseen circumstances might occur that affect people's well-being. Technologies that assist people in independent living are essential for enhancing care in a cost-effective and reliable manner. Assisted care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the user care system in the literature to identify current practices for future research directions. Therefore, this book is aimed at a comprehensive review of data sources (e.g., sensors) with machine learning for various smart user care systems. To encourage the readers in the field, insights of practical essence of different machine learning algorithms with sensor data (e.g., publicly available datasets) are also discussed. Some code segments are also included to motivate the researchers of the related fields to practically implement the features and machine learning techniques. It is an effort to obtain knowledge of different types of sensor-based user monitoring technologies in-home environments. With the aim of adopting these technologies, research works, and their outcomes are reported. Besides, up to date references are included for the user monitoring technologies with the aim of facilitating independent living. Research that is related to the use of user monitoring technologies in assisted living is very widespread, but it is still consists mostly of limited-scale studies. Hence, user monitoring technology is a very promising field, especially for long-term care. However, monitoring of the users for smart assisted technologies should be taken to the next level with more detailed studies that evaluate and demonstrate their potential to contribute to prolonging the independent living of people. The target of this book is to contribute towards that direction.

Reconnoitering the Landscape of Edge Intelligence in Healthcare

2024-04-23 Computers
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Release : 2024-04-23
Genre : Computers
Kind : eBook
Book Rating : 932/5 ( reviews)

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Book Synopsis Reconnoitering the Landscape of Edge Intelligence in Healthcare by : Suneeta Satpathy

Download or read book Reconnoitering the Landscape of Edge Intelligence in Healthcare written by Suneeta Satpathy. This book was released on 2024-04-23. Available in PDF, EPUB and Kindle. Book excerpt: The revolution in healthcare as well as demand for efficient real-time healthcare services are driving the progression of edge computing, AI-mediated techniques, deep learning, and IoT applications for healthcare industries and cloud computing. Edge computing helps to meet the demand for newer and more sophisticated healthcare systems that are more personalized and that match the speed of modern life. With applications of edge computing, automated intelligence and intuitions are incorporated into existing healthcare analysis tools for identifying, forecasting, and preventing high-risk diseases. Reconnoitering the Landscape of Edge Intelligence in Healthcare provides comprehensive research on edge intelligence technology with the emphasis on application in the healthcare industry. It covers all the various areas of edge intelligence for data analysis in healthcare, looking at the emerging technologies such as AI-based techniques, machine learning, IoT, cloud computing, and deep learning with illustrations of the design, implementation, and management of smart and intelligent healthcare systems. Chapters showcase the advantages and highlights of the adoption of the intelligent edge models toward smart healthcare infrastructure. The book also addresses the increased need for a high level of medical data security while transferring real-time data to cloud-based architecture, a matter of prime concern for both patient and doctor. Topics include edge intelligence for wearable sensor technologies and their applications for health monitoring, the various edge computing techniques for disease prediction, e-health services and e-security solutions through IoT devices that aim to improve the quality of care for transgender patients, smart technology in ambient assisted living, the role of edge intelligence in limiting virus spread during pandemics, neuroscience in decoding and analysis of visual perception from the neural patterns and visual image reconstruction, and more. The technology addressed include energy aware cross-layer routing protocol (ECRP), OMKELM-IDS technique, graphical user interface (GUI), IOST (an ultra-fast, decentralized blockchain platform), etc. This volume will be helpful to engineering students, research scholars, and manufacturing industry professionals in the fields of engineering applications initiatives on AI, machine learning, and deep learning techniques for edge computing.

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