Artificial intelligence and digital systems engineering, Badiru, Adedeji Bodunde,
Автор: Millington Название: Artificial Intelligence for Games,Third Edition ISBN: 1138483974 ISBN-13(EAN): 9781138483972 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence is an integral part of every video game. This book helps propfessionals keep up with the constantly evolving technological advances in the fast growing game industry and equips students with up-to-date infortmation they need to jumpstart their careers.
Описание: Presents state of the art applications of artificial intelligence in energy and renewable energy systems design and modelling. This title covers such topics as solar energy, wind energy, biomass and hydrogen as well as building services systems, power generation systems, combustion processes and refrigeration.
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg Название: Advancement of Artificial Intelligence in Healthcare Engineering ISBN: 179982120X ISBN-13(EAN): 9781799821205 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 39640.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.
Автор: Alex Lui, Anna Farzinder, Mingboo Gong Название: Transforming Healthcare with Big Data and AI ISBN: 1641138971 ISBN-13(EAN): 9781641138970 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.
This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Описание: A Study of Energy Reduction Strategies in Renewable Hybrid Grid.- Classification and Watermarking of Brain Tumor using Artificial and Convolutional Neural Networks.- A Proposal for a Deep Learning Model to Enhance Student Guidance and Reduce Dropout.- EduBot: An Unsupervised Domain-Specific Chatbot for Educational Institutions.- SQL Generation from Natural Language using Supervised Learning and Recurrent Neural Networks.- Toward Intelligent Solution to Identify Learner Attitude from Source Code.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy.
In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.
This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source.
Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.
With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.
This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.
The groundbreaking book presents state-of-the-art chapters on many subjects including:
A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
A review of current augmenting dental care
An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
A review of telemedicine technologies
Building empathy in young children using augmented reality
AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
Mobile doctor brain AI App
An artificial intelligence mobile cloud computing tool
Development of a robotic teaching aid for disabled children
Training system design of lower limb rehabilitation robot based on virtual reality
Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.
Автор: Bohr, Adam Название: Artificial Intelligence In Healthcare ISBN: 0128184388 ISBN-13(EAN): 9780128184387 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.
This book will be useful for researchers, graduate students and practitioners in computer science, data science, bioinformatics, health informatics, biomedical engineering and clinical engineering.
Chapter 1 Model-based Validation of Business Processes: Case Study of Logistic Sector
Firna Muninggar Kistianti, Muharman Lubis, and Asti Amalian Nur Fajrillah,
Chapter 2
COVID-19 Lung Image Classification based on Logistic Regression and Support Vector Machine
Nazish, Syed Irfan Ullah, Abdus Salam, Wajid Ullah, and Muhammad Imad
Chapter 3 Performance Analysis of POX and RYU based on Dijkstra's Algorithm for Software Defined Networking
Naimullah, Syed Irfan Ullah, Arbab Wajid Ullah, Abdus Salam, Muhammad Imad, and Farhat Ullah
Chapter 4
Priority Based Power Delivery System for Electric Vehicle Charging
Noaima Bari, Ahteshamul Haque, Gaurav Ahuja, and V S Bharath Kurukuru
Chapter 5 Clustering Algorithms as a tool for Odour Classifications in E-nose Developments
Yousif Albastaki
Chapter 6 Bidirectional Octonion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition
Shobarani Salvadi, Dr.D.Nagendra Rao, and Dr. Srinivasan Vatsal3,
Chapter 7 E-Learning Acceptance during the Covid-19 Outbreak: A cross-sectional study
Mohammed Habes, Sana Ali, Atiqa Khalid, Hiba Abou Haykal, Mokhtar Elareshi, Tabinda Khan, and Abdulkairm Ziani
Chapter 8 Digital Social Contracts with AI Robots: Some Implications for Amazon.com
Frank T. Lorne and, Mahita Reddy Gogireddy
Chapter 9 Adaptations during COVID-19 and Smart Disease Detection through 'Germica'
Rajkumar Rajasekaran, Dr.Jolly Masih, and Damandeep Kaur
Chapter 10
Facebook advertising in the era of Digital Economy
Sharma Megha, Dangwal Chandra Ramesh, and Masih Jolly
Chapter 11 Life-Saving APP: Snake Classification 'Venomous and Non-Venomous' using fast.ai based on Indian Species
Dr Lakshmi D, Ramesh Chandra Panda, Amrita, and Mr. Abhinav Prakash
Chapter 12 Digital Media Usage among Arab Journalists during Covid-19 Outbreak
Abdul-Karim Ziani1, Mokhtar Elareshi, Mohammed Habes, Khalaf Mohammed Tahat, and Sana Ali
Track 2: Industry 4.0 Management for Sustainable Technologies
Chapter 13 Impact of E-Procurement on Supply Chain Performance
Ali M. Albinkhali
Chapter 14 Predicting Pyramid Geometric Solar Water Still Plant Efficiency using RBF Based Multi-layer Perceptron
Rajeev Raghuvanshi, MD Ilyas, and Surbhi Sharma
Chapter 15
Comparative Analysis of Machine Learning Algorithms for Stock Market Prediction During Covid-19 Outbreak
Jolly Masih, Rajkumar Rajasekaran, Neha Saini and Damandeep Kaur
Chapter 16
Bitcoin Prediction using Ensemble Modelling
Govinda K, Rajkumar R, and Jolly Masih
Chapter 17
Structural Modeling of the Lean Supply Chain Enablers
Hemant Sharma and Nagendra Sohani
Chapter 18
Increasing productivity and quality with IoT technologies in industrial treatment systems
Adem Kayar, Fatih Цztьrk, and Hakan Ceyhan
Chapter 19
Intelligent Community Detection: Comparative Study (Covid19 Dataset)
Jenan Moosa, Wasan Awad, and Tatiana Kalganova
Chapter 20 An Exploration into the Posture of Robo-Advisor Globally
Ismail Canoz
Chapter 21
Автор: Sam Freed Название: AI and Human Thought and Emotion ISBN: 0367029294 ISBN-13(EAN): 9780367029296 Издательство: Taylor&Francis Рейтинг: Цена: 16078.00 р. Наличие на складе: Поставка под заказ.
Описание: This reference work examines how human thought processes and emotion can be captured by artificial intelligence (AI) algorithms and code. It provides a theoretical framework and demonstrates how code can be generate on the basis of the framework.
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