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Book SCREENING OF AUTISM USING CONVOLUTIONAL NEURAL NETWORK

Download or read book SCREENING OF AUTISM USING CONVOLUTIONAL NEURAL NETWORK written by Amrita Budarapu and published by Archers & Elevators Publishing House. This book was released on with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Detection of Autism Using Magnetic Resonance Imaging Data and Graph Convolutional Neural Networks

Download or read book Detection of Autism Using Magnetic Resonance Imaging Data and Graph Convolutional Neural Networks written by Saloni Mahendra Jain and published by . This book was released on 2018 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Autism or Autism Spectrum Disorder (ASD) is a development disability which generally begins during childhood and may last throughout the lifetime of an individual. It is generally associated with difficulty in communication and social interaction along with repetitive behavior. One out of every 59 children in the United States is diagnosed with ASD [11] and almost 1% of the world population has ASD [12]. ASD can be difficult to diagnose as there is no definite medical test to diagnose this disorder. The aim of this thesis is to extract features from resting state functional Magnetic Resonance Imaging (rsfMRI) data as well as some personal information provided about each subject to train variations of a Graph Convolutional Neural Network to detect if a subject is Autistic or Neurotypical. The time series information as well as the connectivity information of specific parts of the brain are the features used for analysis. The thesis converts fMRI data into a graphical representation where the vertex represents a part of the brain and the edge represents the connectivity between two parts of the brain. New adjacency matrix filters were added to the Graph CNN model and the model was altered to add a time dimension."--Abstract.

Book Proceedings of the 2nd International Conference on Computational and Bio Engineering

Download or read book Proceedings of the 2nd International Conference on Computational and Bio Engineering written by S. Jyothi and published by Springer Nature. This book was released on 2021-09-27 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.

Book Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder

Download or read book Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder written by Kautish, Sandeep and published by IGI Global. This book was released on 2021-06-25 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autism spectrum disorder (ASD) is known as a neuro-disorder in which a person may face problems in interaction and communication with people, amongst other challenges. As per medical experts, ASD can be diagnosed at any stage or age but is often noticeable within the first two years of life. If caught early enough, therapies and services can be provided at this early stage instead of waiting until it is too late. ASD occurrences appear to have increased over the last couple of years leading to the need for more research in the field. It is crucial to provide researchers and clinicians with the most up-to-date information on the clinical features, etiopathogenesis, and therapeutic strategies for patients as well as to shed light on the other psychiatric conditions often associated with ASD. In addition, it is equally important to understand how to detect ASD in individuals for accurate diagnosing and early detection. Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder discusses the early detection and diagnosis of autism spectrum disorder enabled by artificial intelligence technologies, applications, and therapies. This book will focus on the early diagnosis of ASD through artificial intelligence, such as deep learning and machine learning algorithms, for confirming diagnosis or suggesting the need for further evaluation of individuals. The chapters will also discuss the use of artificial intelligence technologies, such as medical robots, for enhancing the communication skills and the social and emotional skills of children who have been diagnosed with ASD. This book is ideally intended for IT specialists, data scientists, academicians, scholars, researchers, policymakers, medical practitioners, and students interested in how artificial intelligence is impacting the diagnosis and treatment of autism spectrum disorder.

Book Emerging Technologies for Healthcare

Download or read book Emerging Technologies for Healthcare written by Monika Mangla and published by John Wiley & Sons. This book was released on 2021-08-17 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Emerging Technologies for Healthcare” begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions. This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.

Book A Facial Expression Recognition Application Development Using Deep Convolutional Neural Network for Children with Autism Spectrum Disorder to Help Identify Human Emotions

Download or read book A Facial Expression Recognition Application Development Using Deep Convolutional Neural Network for Children with Autism Spectrum Disorder to Help Identify Human Emotions written by Md Inzamam Ul Haque and published by . This book was released on 2019 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, a novel idea is presented, which is to teach young children with Autism Spectrum Disorder (ASD) to recognize human facial expressions through the help of computer vision and image processing. Universally, there are seven facial expressions categories: angry, disgust, happy, sad, fear, surprised and neutral. To recognize all these facial expressions and to predict the current mood of a person is a difficult task for a child. For a child with ASD, this problem presents itself in a more complex manner due to the nature of the disorder. The main goal of the thesis was to develop a deep Convolutional Neural Network (DCNN) for facial expression recognition, which can help young children with ASD to recognize facial expressions, using mobile devices. Previously, different neural network models and classifiers have been presented to achieve state of the art accuracy in this sector. Separately, different studies have been performed in studying the ability and performance of children with ASD for recognizing facial expressions. In this thesis, additional features have been added to the DCNN model such that it can correctly classify facial expressions in different lighting conditions and from different viewpoints as the model is trained to do so. Upon developing the DCNN model, an iOS app has been developed implementing this deep learning model as a byproduct and as a medium to use this model in clinical trials for children with autism as a medium of enhancing their communication abilities. The implementation of this proposed idea started with finding datasets containing images of faces with different expressions from different angles. Further datasets were produced from the original dataset with images of different contrast and brightness with the help of image processing. The performance of the DCNN model was evaluated using these datasets. Once an optimal accuracy is achieved with good generalizability, an app suitable for iOS platform was developed for running both the DCNN model and image processing algorithms. The function of the app is to open the camera of the device, detect a face, classify the facial expression, and show the expression with an emoticon on the screen. As a product of this work, the app can be used by speech-language pathologies, teacher, care-takers, and parents as a technological tool when working with children with ASD. The design of the model and application is targeted to children with ASD to recognize and identify facial expressions in real-time to practice social skills during everyday social interaction.

Book Healthcare Big Data Analytics

Download or read book Healthcare Big Data Analytics written by Akash Kumar Bhoi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-03-18 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

Book Tele Healthcare

    Book Details:
  • Author : R. Nidhya
  • Publisher : John Wiley & Sons
  • Release : 2022-07-06
  • ISBN : 1119841917
  • Pages : 271 pages

Download or read book Tele Healthcare written by R. Nidhya and published by John Wiley & Sons. This book was released on 2022-07-06 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: TELE-HEALTHCARE This book elucidates all aspects of tele-healthcare which is the application of AI, soft computing, digital information, and communication technologies, to provide services remotely and manage one’s healthcare. Throughout the world, there are huge developing crises with respect to healthcare workforce shortages, as well as a growing burden of chronic diseases. As a result, e-health has become one of the fastest-growing service areas in the medical sector. E-health supports and ensures the availability of proper healthcare, public health, and health education services at a distance and in remote places. For the sector to grow and meet the need of the marketplace, e-health applications have become one of the fastest growing areas of research. However, to grow at a larger scale requires the following: The availability of user cases for the exact identification of problems that need to be visualized. A well-supported market that can promote and adopt the e-health care concept. Development of cost-effectiveness applications and technologies for successful implementation of e-health at a larger scale. This book mainly focuses on these three points for the development and implementation of e-health services globally. In this book the reader will find: Details of the challenges in promoting and implementing the telehealth industry. How to expand a globalized agenda of personalized telehealth in integrative medical treatment for disease diagnosis and its industrial transformation. How to design machine learning techniques for improving the tele-healthcare system. Audience Researchers and post-graduate students in biomedical engineering, artificial intelligence, and information technology; medical doctors and practitioners and industry experts in the healthcare sector; healthcare sector network administrators.

Book Understanding Parent Experiences and Supporting Autistic Children in the K 12 School System

Download or read book Understanding Parent Experiences and Supporting Autistic Children in the K 12 School System written by Yarbrough, Jillian and published by IGI Global. This book was released on 2021-12-17 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parenting and educating a child with an autism spectrum disorder (ASD) is a unique experience for many reasons. Too often, the K-12 school system overlooks the needs of children with ASDs or educators find themselves unprepared to provide a learning environment that fulfills these needs. Parents of children with ASDs must also stay informed on autism support services, school system practices, developmental pediatrics, and more in order to be an active voice in how their children are supported within the school system. Understanding Parent Experiences and Supporting Autistic Children in the K-12 School System shares the experiences of children with ASDs in order to develop more supportive practices for these children as they navigate the K-12 system. It also offers best practices, strategies, and information for educators to provide a sufficient learning environment to support children with ASDs within their classrooms. Covering topics such as assistive tools, inclusive practices, and parent experiences, it is an ideal resource for K-12 administration and faculty, educators, pre-service teachers, policymakers, parents, researchers, and academicians.

Book AI Assisted Special Education for Students With Exceptional Needs

Download or read book AI Assisted Special Education for Students With Exceptional Needs written by Kumar, Ashish and published by IGI Global. This book was released on 2023-10-02 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Assisted Special Education for Students With Exceptional Needs is a comprehensive and insightful exploration of the intersection between special education and artificial intelligence (AI). This book delves into the fundamental principles, historical background, and current challenges faced in providing effective education to students with special needs. It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning difficulties of exceptional students. The book also explores the impact of AI-based special education on both educators and students, providing valuable insights and strategies for stakeholders to adopt and implement these technologies effectively. Legal aspects surrounding the right to education for disabled individuals are discussed, ensuring a comprehensive understanding of the legal framework supporting special education initiatives. Real-world case studies and success stories serve as inspiration, illustrating the transformative potential of AI in special education. Featuring contributions from academicians and professionals from esteemed organizations, this book provides hands-on chapters that cover topics such as research challenges, data analysis, machine learning, intelligent learning environments, IoT wearable devices, comprehensive systems with intelligent teacher assistance, parental and societal roles, and the prospects of AI-assisted special education. Whether educator, mentor, training professional, researcher, or student, AI-Assisted Special Education for Students With Exceptional Needs offers a wealth of knowledge and practical insights.

Book Machine Learning in Medical Imaging

Download or read book Machine Learning in Medical Imaging written by Yinghuan Shi and published by Springer. This book was released on 2018-09-14 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Book Future of AI in Medical Imaging

Download or read book Future of AI in Medical Imaging written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-03-11 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.

Book Applied Intelligence and Informatics

Download or read book Applied Intelligence and Informatics written by Mufti Mahmud and published by Springer Nature. This book was released on with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Developments and Advances in Defense and Security

Download or read book Developments and Advances in Defense and Security written by Álvaro Rocha and published by Springer Nature. This book was released on 2021-10-28 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS 2021), held at Naval Cadet School "Almirante Padilla", in Cartagena, Colombia, during August 18–20, 2021. It covers a broad range of topics in systems, communication, and defense; strategy and political–administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.

Book Diagnosis of Neurological Disorders Based on Deep Learning Techniques

Download or read book Diagnosis of Neurological Disorders Based on Deep Learning Techniques written by Jyotismita Chaki and published by CRC Press. This book was released on 2023-05-15 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data preprocessing including scaling, correction, trimming, and normalization is also included. Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders. Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative, neurodevelopmental, and psychiatric disorders. Helps build, train, and deploy different types of deep architectures for diagnosis. Explores data preprocessing techniques involved in diagnosis. Includes real-time case studies and examples. This book is aimed at graduate students and researchers in biomedical imaging and machine learning.

Book Advances in Signal Processing and Communication Engineering

Download or read book Advances in Signal Processing and Communication Engineering written by Pradip Kumar Jain and published by Springer Nature. This book was released on with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book HCI in Business  Government and Organizations

Download or read book HCI in Business Government and Organizations written by Fiona Nah and published by Springer Nature. This book was released on 2023-07-20 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of HCIBGO 2023, constitutes the refereed proceedings of the 10h International Conference on HCI in Business, Government and Organizations, held as Part of the 24th International Conference, HCI International 2023, which took place in July 2023 in Copenhagen, Denmark.The total of 1578 papers and 396 posters included in the HCII 2023 proceedings volumes was carefully reviewed and selected from 7472 submissions. The HCIBGO 2023 proceedings focuses in topics such as artificial intelligence and machine learning, blockchain, service design, live streaming in electronic commerce, visualization, and workplace design.