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Challenges and Trends in Multimodal Fall Detection for Healthcare

curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples. This book;

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Deep Learning and Edge Computing Solutions for High Performance Computing

solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and;

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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges;

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Multimodal Behavior Analysis in the Wild

Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of- the-art in behavioral signal processing using;

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Sensors for Health Monitoring

transmission techniques, applications and challenges with extensive case studies for U-Healthcare systems;

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Future Challenges

is provided, and for the experience of patients. In different ways, and based on different cases, this book deals with challenges for health and;

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Disruptive Trends in Computer Aided Diagnosis

challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. The volume focuses on;

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Frontiers of Data and Knowledge Management for Convergence of ICT, Healthcare, and Telecommunication Services

studies in future technological trends and challenges in the aforementioned fields. The book acts as a scholarly forum for researchers both;

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Inclusive Society: Health and Wellbeing in the Community, and Care at Home

Pervasive Healthcare; Home Energy Usage, Reasoning Framework, Services; Algorithms for Smart Homes; Eldercare Activity Recognition and Fall;

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Detection Challenges in Clinical Diagnostics

healthcare and clinical applications of detection science.;

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Deep Learning and IoT in Healthcare Systems

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;

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Current Trends in Oncology Nursing

, challenges remain. To succeed in the current healthcare environment and into the future, nurses must be aware of the current trends in oncology;

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Advances in Data Science

challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes;

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Social Signal Processing

chapters cover technologies for automatic detection and understanding such as computational paralinguistics and facial expression analysis and for;

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Intelligent Data Sensing and Processing for Health and Well-Being Applications

-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and;

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Computational Intelligence for Multimedia Understanding

from over numerous submissions. The papers cover the following topics: multisensor systems, multimodal analysis, crossmodel data analysis and;

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Developing Multimodal Therapies for Brain Disorders

underlying multimodal therapies and to explore challenges, potential barriers, and opportunities for their development, the National Academies;

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Healthcare Fraud

Edition of Healthcare Fraud: Auditing and Detection Guide is the must-have reference for auditors, fraud investigators, and healthcare managers;

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Point-of-Care Detection Devices for Healthcare

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Computational Intelligence in Healthcare

the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities;

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Biotechnological Approaches in Food Adulterants

employed for detection of food adulterants including: expansion of food adulterants market, potential toxicity of food adulterants and the;

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Intelligent Healthcare

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and;

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Multimodal Texts in Disciplinary Education

comprehensive framework for analysing and working with multimodal texts in disciplinary education, it serves as a tool for researchers and teachers;

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Acoustic Sensors for Biomedical Applications

wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and;

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Decontamination in Hospitals and Healthcare

framework for local policy and procedures for decontamination of surgical instruments, as well as novel technologies for cleaning and detection;

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Web-Based Applications in Healthcare and Biomedicine

in digital format. Web-enabled information technologies can provide the means for greater access and more effective integration of healthcare;

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Intelligent Pervasive Computing Systems for Smarter Healthcare

A guide to intelligent decision and pervasive computing paradigms for healthcare analytics systems with a focus on the use of bio-sensors;

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