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Semantic and Fuzzy Modelling for Human Behaviour Recognition in Smart Spaces
One of the major limitations of the Ambient Intelligent Systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the specific activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of informatio...
Manuel Díaz Rodríguez
This book offers a stylistic analysis of an early-twentieth-century Venezuelan writer known for his travel accounts, stories, novels, and essays. It concentrates on three novels: dolos rotos, Sangre patricidia, and Peregrina. It discusses contexts (criollismo and modernismo), summarizes plots, and examines sense impressions, imagery, and syntactic devices.
Recent Developments and the New Direction in Soft-Computing Foundations and Applications
This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.
Explainable Artificial Intelligence for Cyber Security
This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.
Respiratory Ailments in Context
This book tackles the role of interrelated conditions in the manifestation and course of pulmonary ailments. The articles run the gamut from basic to clinical science on such topics as airway allergy challenges, pulmonary dysfunction due to exposure to environmental pollution, molecular and functional aspects of smoking in lung carcinogenesis and in obstruction-related respiratory disorders, and others. Attention is directed to the developments in rehabilitative and lifestyle interventions in chronic disabilities, particularly involving neuromotor and stress-related conditions which, with advancing age, may lead to the deterioration of ventilation, with hypoxic sequelae. Enhanced research and awareness concerning the lung health drive better treatments and quality of life. Clinical insights presented in the book underscore a major role played by the science in transmuting biomedical knowledge into a better patient management. The volume is addressed to clinicians, researchers, physiotherapists, and other healthcare professionals engaged in effective patient care and therapy.
Breakthroughs in Digital Biometrics and Forensics
This book focuses on a wide range of breakthroughs related to digital biometrics and forensics. The authors introduce the concepts, techniques, methods, approaches and trends needed by cybersecurity specialists and educators for keeping current their biometrics and forensics knowledge. Furthermore, the book provides a glimpse of future directions where biometrics and forensics techniques, policies, applications, and theories are headed. Topics include multimodal biometrics, soft biometrics, mobile biometrics, vehicle biometrics, vehicle forensics, integrity verification of digital content, people identification, biometric-based cybercrime investigation, among others. The book is a rich collection of carefully selected and reviewed manuscripts written by diverse digital biometrics and forensics experts in the listed fields and edited by prominent biometrics and forensics researchers and specialists.
Genetic Models in Cardiorespiratory Biology
Focusing on the latest breakthroughs in genetic analysis and manipulation, Genetic Models in Cardiorespiratory Biology extensively details how genetic model systems facilitate better comprehension of mammalian and human biology and disease. Highlights studies of Drosophila melanogaster, Caenorhabditis (C.) elegans, zebrafish, and transgenic
Explainable Edge AI: A Futuristic Computing Perspective
This book presents explainability in edge AI, an amalgamation of edge computing and AI. The issues of transparency, fairness, accountability, explainability, interpretability, data-fusion, and comprehensibility that are significant for edge AI are being addressed in this book through explainable models and techniques. The concept of explainable edge AI is new in front of the academic and research community, and consequently, it will undoubtedly explore multiple research dimensions. The book presents the concept of explainability in edge AI which is the amalgamation of edge computing and AI. In the futuristic computing scenario, the goal of explainable edge AI will be to execute the AI tasks ...
