Intelligent Interactive Assistance And Mobile Multimedia Computing


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Intelligent Interactive Assistance and Mobile Multimedia Computing


Intelligent Interactive Assistance and Mobile Multimedia Computing

Author: Djamshid Tavangarian

language: en

Publisher: Springer Science & Business Media

Release Date: 2009-10-28


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This book constitutes the refereed papers of the International Conference on Intelligent Interactive Assistance and Mobile Multimedia Computing, IMC 2009, which was held in Rostock-Warnemünde, Germany, in November 2009. The 26 revised full papers presented together with 5 short papers and 3 invited talks were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections on Innovative User Interfaces, Assistive Systems, Mobile Communication, Context Awareness, Semantics, System Development, Intelligence, and Security and Privacy.

Intelligent Interactive Assistance and Mobile Multimedia Computing


Intelligent Interactive Assistance and Mobile Multimedia Computing

Author: Thomas Kirste

language: en

Publisher:

Release Date: 2001


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Revolutionizing Medical Systems using Artificial Intelligence


Revolutionizing Medical Systems using Artificial Intelligence

Author: Ashish Kumar

language: en

Publisher: Elsevier

Release Date: 2025-01-31


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Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare provides an overview of various machine learning and deep learning techniques, addressing the needs of patients and the necessity for medical aid at early stages of disease. The book reviews, analyzes, and compares the different methodologies utilized for the prediction and detection of diseases. In addition, it explores the possible deployment of these advancements in medical systems, from paper to practice. With the advent of technology, tele consultation, telemedicine, and mobile health care, it is now possible to provide continuous monitoring of the health of patients.This title fulfills the needs of connected healthcare systems, providing insights into the role of Artificial Intelligence in the prognosis, diagnosis, and analysis of several diseases. It will be a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases. - Provides a wide range of coverage for various prediction and segmentation algorithms that are based on machine learning and deep learning technology - Covers various predictive and segmentation algorithms exploited by various medical personnel to improve the accuracy of treatment to the patients - Highlights improvements in quality and efficiency of medical decision-making in the early detection of critical diseases using AI