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The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May - June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings: Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health Applications,Part II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
The two volume set LNCS 13258 and 13259 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, held in Puerto de la Cruz, Tenerife, Spain in May - June 2022. The total of 121 contributions was carefully reviewed and selected from 203 submissions. The papers are organized in two volumes, with the following topical sub-headings:Part I: Machine Learning in Neuroscience; Neuromotor and Cognitive Disorders; Affective Analysis; Health ApplicationsPart II: Affective Computing in Ambient Intelligence; Bioinspired Computing Approaches; Machine Learning in Computer Vision and Robot; Deep Learning; Artificial Intelligence Applications.
Recent estimates hypothesize that the US will need $1.6 trillion dollars for rehabilitation, replacement, and maintenance of existing infrastructure systems within the next 20 years. Presenting a new vision and way of designing and managing the civil infrastructure of the nation, this text introduces novel technologies, methods, and detailed computational algorithms for the creation of smart structures and intelligent freeways. Cutting across the disciplines of structural and transportation engineering, it provides a unique treatise for attacking and solving some of the most complex and intractable problems encountered in the emerging fields of smart structures and intelligent transportation systems.
Based on the authors' ground-breaking research, this book presents a novel approach for automated EEG-based diagnosis of neurological disorders such as epilepsy. The authors have developed an innovative method that has been shown to diagnose epilepsy and detect seizure with an accuracy rate of 96%. Their method is based on the adroit integration of three computing and problem solving paradigms: neural networks, wavelets, and chaos theory. The text introduces each of these computing paradigms along with a number of sophisticated mathematical algorithms. It concludes with applications of the method to epilepsy and to Alzheimer's disease.
A cluster of workstations provides engineers with a familiar, cost-effective environment for high performance computing. This title presents distributed algorithms for three fundamental areas: finite element analysis, design optimization, and visualization - providing a fresh direction in high performance structural engineering computing.
This book provides a practical methodology which will be of great benefit to all those involved in construction scheduling and cost optimization.
Presents a novel approach for automated EEG-based diagnosis of neurological disorders such as epilepsy. This book introduces three computing and problem solving paradigms: neural networks, wavelets, and chaos theory, along with many mathematical algorithms. It concludes with applications of the method to epilepsy and to Alzheimer's disease.
Presents technologies, methods and computational algorithms for creation of smart structures and intelligent freeways. This book discusses multidisciplinary methodologies for health and monitoring and nonlinear active control of tall building structure subject to dynamic loading such as those due to winds or earthquake.
Presents general aspects of supercomputing from both hardware and software engineering points of view.
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