Neural Engineering Techniques For Autism Spectrum Disorder Volume 2

Author : Jasjit Suri,Ayman S. El-Baz
Publisher : Academic Press
Page : 347 pages
File Size : 44,5 Mb
Release : 2022-10-17
Category : Science
ISBN : 9780128244227

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Neural Engineering Techniques for Autism Spectrum Disorder, Volume 2 by Jasjit Suri,Ayman S. El-Baz Pdf

Neural Engineering for Autism Spectrum Disorder, Volume Two: Diagnosis and Clinical Analysis presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, magnetic resonance spectroscopy, MRI, fMRI, DTI, video analysis of sensory-motor and social behaviors, and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics, fuzzy model and temporal fractal analysis of rest state BOLD signals and brain signals are also presented. A clinical guide for general practitioners is provided along with a variety of assessment techniques such as magnetic resonance spectroscopy. The book is presented in two volumes, including Volume One: Imaging and Signal Analysis Techniques comprised of two Parts: Autism and Medical Imaging, and Autism and Signal Analysis. Volume Two: Diagnosis and Treatment includes Autism and Clinical Analysis: Diagnosis, and Autism and Clinical Analysis: Treatment. Presents applications of Neural Engineering techniques for diagnosis of Autism Spectrum Disorder (ASD) Includes in-depth technical coverage of assessment techniques, such as the functional and structural networks underlying visuospatial vs. linguistic reasoning in autism Covers treatment techniques for Autism Spectrum Disorder (ASD), including social skills intervention, behavioral treatment, evidence-based treatments, and technical tools such as Magnetic Resonance Spectroscopy for ASD Written by engineers for engineers, computer scientists, researchers and clinicians who need to understand the technology and applications of Neural Engineering for the detection and diagnosis of Autism Spectrum Disorder (ASD)

Author : Ayman S. El-Baz,Jasjit S. Suri
Publisher : Academic Press
Page : 400 pages
File Size : 47,6 Mb
Release : 2021-07-16
Category : Science
ISBN : 9780128230657

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Neural Engineering Techniques for Autism Spectrum Disorder by Ayman S. El-Baz,Jasjit S. Suri Pdf

Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). Advances in the role of neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, social behaviors and suitable data analytics useful for clinical diagnosis and research applications for Autism Spectrum Disorder are covered, including relevant case studies. The application of brain signal evaluation, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for detection and estimation of the degree of ASD. Presents applications of Neural Engineering and other Machine Learning techniques for the diagnosis of Autism Spectrum Disorder (ASD) Includes in-depth technical coverage of imaging and signal analysis techniques, including coverage of functional MRI, neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, and neuroanatomy of autism Covers Signal Analysis for the detection and estimation of Autism Spectrum Disorder (ASD), including brain signal analysis, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals for ASD Written to help engineers, computer scientists, researchers and clinicians understand the technology and applications of Neural Engineering for the detection and diagnosis of Autism Spectrum Disorder (ASD)

Author : Ashwani Kumar,Iztok Fister Jr.,P. K. Gupta,Johan Debayle,Zuopeng Justin Zhang,Mohammed Usman
Publisher : Springer Nature
Page : 553 pages
File Size : 54,8 Mb
Release : 2022-12-13
Category : Computers
ISBN : 9783031213854

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Artificial Intelligence and Data Science by Ashwani Kumar,Iztok Fister Jr.,P. K. Gupta,Johan Debayle,Zuopeng Justin Zhang,Mohammed Usman Pdf

This book constitutes selected papers presented at the First International Conference on Artificial Intelligence and Data Science, ICAIDS 2021, held in Hyderabad, India, in December 2021. The 43 papers presented in this volume were thoroughly reviewed and selected from the 195 submissions. They focus on topics of artificial intelligence for intelligent applications and data science for emerging technologies.

Author : Kohei Arai,Supriya Kapoor,Rahul Bhatia
Publisher : Springer Nature
Page : 1015 pages
File Size : 55,7 Mb
Release : 2020-10-31
Category : Technology & Engineering
ISBN : 9783030630898

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Proceedings of the Future Technologies Conference (FTC) 2020, Volume 2 by Kohei Arai,Supriya Kapoor,Rahul Bhatia Pdf

This book provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research. The fifth 2020 Future Technologies Conference was organized virtually and received a total of 590 submissions from academic pioneering researchers, scientists, industrial engineers, and students from all over the world. The submitted papers covered a wide range of important topics including but not limited to computing, electronics, artificial intelligence, robotics, security and communications and their applications to the real world. After a double-blind peer review process, 210 submissions (including 6 poster papers) have been selected to be included in these proceedings. One of the meaningful and valuable dimensions of this conference is the way it brings together a large group of technology geniuses in one venue to not only present breakthrough research in future technologies, but also to promote discussions and debate of relevant issues, challenges, opportunities and research findings. The authors hope that readers find the book interesting, exciting and inspiring.

Author : Roberto Canitano,Yuri Bozzi,Dirk Dhossche
Publisher : Frontiers Media SA
Page : 191 pages
File Size : 46,8 Mb
Release : 2020-07-03
Category : Electronic
ISBN : 9782889638697

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Autism Spectrum Disorders: Developmental Trajectories, Neurobiological Basis, Treatment Update,Volume 2 by Roberto Canitano,Yuri Bozzi,Dirk Dhossche Pdf

Author : Sanjay Chakraborty,Sk Hafizul Islam,Debabrata Samanta
Publisher : Springer Nature
Page : 210 pages
File Size : 46,9 Mb
Release : 2022-05-10
Category : Technology & Engineering
ISBN : 9783030930882

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Data Classification and Incremental Clustering in Data Mining and Machine Learning by Sanjay Chakraborty,Sk Hafizul Islam,Debabrata Samanta Pdf

This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.

Author : Gordan Jezic,Yun-Heh Jessica Chen-Burger,Mario Kusek,Roman Šperka,Robert J. Howlett,Lakhmi C. Jain
Publisher : Springer Nature
Page : 309 pages
File Size : 42,9 Mb
Release : 2022-08-22
Category : Technology & Engineering
ISBN : 9789811933592

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Agents and Multi-Agent Systems: Technologies and Applications 2022 by Gordan Jezic,Yun-Heh Jessica Chen-Burger,Mario Kusek,Roman Šperka,Robert J. Howlett,Lakhmi C. Jain Pdf

The book highlights new trends and challenges in research on agents and the new digital and knowledge economy. It includes papers on business process management, agent-based modeling and simulation and anthropic-oriented computing that were originally presented at the 16th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2022), held at Rhodes, Greece in June 20–22, 2022. The respective papers cover topics such as software agents, multi-agent systems, agent modeling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, all of which contribute to the modern digital economy.

Author : Gregory R. Bock,Jamie A. Goode
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 52,5 Mb
Release : 2005-01-21
Category : Science
ISBN : 9780470869376

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Autism by Gregory R. Bock,Jamie A. Goode Pdf

This book draws together contributions from some of the leading investigators in the field of autism to consider specific problem areas in current research. Each contributor brings expertise from a different field, providing a balanced view of the whole spectrum of study of this disorder. It covers four main areas: Twin and family studies indicate that the heritability of the underlying liability to autism exceeds 90% and point to a multifactorial causation, involving a relatively small number of susceptibility genes. The book discusses this issue in detail, along with the problem of why some additional symptoms are associated with autism while others are not. New techniques are available for examining the neurobiology of autism. The book contains results from imaging studies showing the contributions of different brain regions to autism. It includes neuropathological data and examines the neuropharmacology of autism. There is considerable discussion concerning the fundamental psychological deficit in children with autism. There is good evidence that "Theory of Mind" deficits are associated with autism and this issue is discussed in the book, as are other competing possibilities. The most important practical question facing medical and psychological practitioners is how to help children with autism. The evidence relating to possible psychological or psychiatric interventions for rehabilitation of children with autism is examined in detail. Drug treatments have generally been disappointing in this field and there is one chapter devoted specifically to this problem. The book focusses ultimately on intervention studies and so is of practical relevance to people interested in helping autistic children. In addition, it provides a very convenient summary of the principal controversies which currently exist in research on autism.

Author : Valsamma Eapen,Andrew J. Whitehouse,Charles Claudianos,Rudi Crncec
Publisher : Frontiers Media SA
Page : 95 pages
File Size : 43,5 Mb
Release : 2015-12-10
Category : Autism
ISBN : 9782889196807

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Autism Spectrum Disorders: From Genotypes to Phenotypes by Valsamma Eapen,Andrew J. Whitehouse,Charles Claudianos,Rudi Crncec Pdf

This Research Topic covers the pathogenetic processes in Autism Spectrum Disorder (ASD) that underpin the translation of genetic vulnerability to clinically significant symptoms. Available research data in ASD suggests that it is a neural connectivity disorder and that the social communication and related neurobehavioural symptoms result from reduced synchronization between key "social brain" regions. These interconnected neural systems can be understood through the relationship between functionally relevant anatomic areas and neurochemical pathways, the programming of which are genetically modulated during neurodevelopment and mediated through a range of epigenetic and environmental modulators. Elucidating the underlying molecular mechanisms can provide an invaluable window for understanding the neural wiring that regulates higher brain functions and consequent clinical phenotypes. In keeping with the multi modal and diverse origins of ASD, this Research Topic explores the genetic underpinnings and environmental modulation in the aetiology; neural substrates, biomarkers and endophenotypes that underlie clinical characteristics; as well as neurochemical pathways and pathophysiological mechanisms that pave the way for therapeutic interventions. Furthermore, since genetically mediated deficits and consequent functional impairments involve activity-dependent synapse development that depends on postnatal learning and experience, the trajectory towards the final clinical expression could be modulated by early interventions that exploit the neuronal maturation and brain plasticity. However, identifying these diverse pathogenetic processes and tailoring interventions would require subtyping ASD into homogeneous subgroups. In this regard, this topic covers the current state of evidence in the literature through topic reviews as well as ongoing original work that provides tangible hypotheses and directions for future research.

Author : Alessandro Grecucci,Roma Siugzdaite,Remo Job
Publisher : Frontiers Media SA
Page : 143 pages
File Size : 52,7 Mb
Release : 2017-11-16
Category : Electronic book
ISBN : 9782889453160

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Advanced Neuroimaging Methods for Studying Autism Disorder by Alessandro Grecucci,Roma Siugzdaite,Remo Job Pdf

In the last twenty years, many attempts have been made to provide neurobiological models of autism. Functional, structural and connectivity analyses have highlighted reduced responses in key social areas, such as amygdala, medial prefrontal cortex, cingulate cortex, and superior temporal sulcus. However, these studies present discrepant results and some of them have been questioned for methodological limitations. The aim of this research topic is to present advanced neuroimaging methods able to capture the complexity of the neural deficits displayed in autism. This special issue presents new studies using structural and functional MRI, as well as magnetoencephalography, and novel protocols to analyze data (Analysis of Cluster Variability, Noise Reduction Strategies, Source-based Morphometry, Functional Connectivity Density, Restriction Spectrum Imaging and the others). We believe it is time to integrate data provided by different techniques and methodologies in order to have a better understanding of autism.

Author : Maria de los Angeles Robinson-Agramonte
Publisher : Springer
Page : 218 pages
File Size : 50,9 Mb
Release : 2015-06-10
Category : Medical
ISBN : 9783319163215

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Translational Approaches to Autism Spectrum Disorder by Maria de los Angeles Robinson-Agramonte Pdf

This book addresses and synthesizes recent basic, translational, and clinical research with the goal of understanding the mechanisms behind autism spectrum disorder (ASD) and how they lead to altered brain function and behavior. Bringing clarity to these mechanisms will lead to more effective therapies for the various heterogeneous pathologies that comprise ASD. Currently there are few, if any, proven therapies for the majority of the disorders. Among the topic addressed are neural plasticity, neuroimmunology, neuroinflammation, neuroimaging, and appropriate animal and genetic models.

Author : Huansheng Ning,Liming Chen,Ata Ullah,Xiong Luo
Publisher : Taylor & Francis
Page : 335 pages
File Size : 52,7 Mb
Release : 2019-08-08
Category : Computers
ISBN : 9780429591679

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Cyber-Enabled Intelligence by Huansheng Ning,Liming Chen,Ata Ullah,Xiong Luo Pdf

The book provides an advanced vision and trends of computational intelligence in cyberspace and cyber-enabled spaces. It reviews architectures and models, as well as state-of-the-art computational and interpretation capabilities for social, industrial, and multimedia applications. Cyber-enabled intelligence involves the design and development of intelligent and innovative application scenarios in social networks, computer vision, multimedia, and image processing. Application scenarios can also cover the applicability of intelligent sensing, data collection and predictive analysis in Internet of Things.

Author : Anonim
Publisher : Academic Press
Page : 404 pages
File Size : 52,7 Mb
Release : 2020-07-23
Category : Science
ISBN : 9780128212431

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Autism by Anonim Pdf

Autism, Volume 173 in the Progress in Molecular Biology and Translational Science series, provides the most topical, informative and exciting monographs available on a wide variety of research topics. Chapters in this new release include updates on atypical brain development in autism spectrum disorder, predicting early diagnosis of autism spectrum disorder using neural and behavioral measures, the roles of the endocannabinoid system in autism spectrum disorder, the neurobiology of sensory processing in autism spectrum disorder, the effects of oxytocin administration on individuals with ASD, resting-state abnormalities of posterior cingulate in autism spectrum disorder, and more. Includes comprehensive coverage of molecular biology Presents ample use of tables, diagrams, schemata and color figures to enhance the reader's ability to rapidly grasp the information provided Contains contributions from renowned experts in the field

Author : Jasjit Suri,Ayman S. El-Baz
Publisher : Elsevier
Page : 328 pages
File Size : 50,5 Mb
Release : 2022-11-29
Category : Science
ISBN : 9780128199121

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State of the Art in Neural Networks and Their Applications by Jasjit Suri,Ayman S. El-Baz Pdf

State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases. State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks. Includes applications of neural networks, AI, machine learning, and deep learning techniques to a variety of oncology imaging technologies Provides in-depth technical coverage of computer-aided diagnosis (CAD), including coverage of computer-aided classification, unified deep learning frameworks, 3D MRI, PET/CT, and more Covers deep learning cancer identification from histopathological images, medical image analysis, detection, segmentation and classification via AI

Author : Ngoc Thanh Nguyen,János Botzheim,László Gulyás,Manuel Nunez,Jan Treur,Gottfried Vossen,Adrianna Kozierkiewicz
Publisher : Springer Nature
Page : 779 pages
File Size : 55,5 Mb
Release : 2023-09-21
Category : Computers
ISBN : 9783031417740

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Advances in Computational Collective Intelligence by Ngoc Thanh Nguyen,János Botzheim,László Gulyás,Manuel Nunez,Jan Treur,Gottfried Vossen,Adrianna Kozierkiewicz Pdf

This book constitutes the refereed proceedings of the 15th International Conference on Advances in Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27–29, 2023. The 59 full papers included in this book were carefully reviewed and selected from 218 submissions. They were organized in topical sections as follows: Collective Intelligence and Collective Decision-Making, Deep Learning Techniques, Natural Language Processing, Data Minning and Machine learning, Social Networks and Speek Communication, Cybersecurity and Internet of Things, Cooperative Strategies for Decision Making and Optimization, Digital Content Understanding and Apllication for Industry 4.0 and Computational Intelligence in Medical Applications.