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Machine Vision and Augmented Intelligence by Koushlendra Kumar Singh,Manish Kumar Bajpai,Akbar Sheikh Akbari Pdf
This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2022). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the book. The book encompasses all industrial and non-industrial applications. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, image processing, and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in health care, brain-computer interface, cybersecurity, social network analysis, and natural language processing.
Machine Vision and Augmented Intelligence—Theory and Applications by Manish Kumar Bajpai,Koushlendra Kumar Singh,George Giakos Pdf
This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Machine Vision and Augmented Intelligence-Theory and Applications by Manish Kumar Bajpai,Koushlendra Kumar Singh,George Giakos Pdf
This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Machine Vision and Augmented Intelligence by Koushlendra Kumar Singh,Sangeeta Singh,Subodh Srivastava,Manish Kumar Bajpai Pdf
This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2023). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Augmented Intelligence by Judith Hurwitz,Henry Morris,Candace Sidner,Daniel Kirsch Pdf
The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human-Machine Collaboration is about the process of combining human and machine intelligence. The book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. The book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence "The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."--Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley "Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, 'AI will not replace managers, but managers who use AI will replace managers who don't.' This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."--Rob Thomas, General Manager, Data and AI, IBM "This book enables managers, data analysts, business leaders, and AI experts to speak a common language, cutting through the jargon and hype to effectively harness augmented intelligence techniques for business decision-making. The authors provide a systematic framework for considering the uses and potential pitfalls of AI and machine learning in supporting business decision-making - always informed and shaped with up-to-date business practices in mind, for the real world where data resources are inherently dynamic and very fast changing." --Stan Sclaroff, Boston University, Dean of the College of Arts & Sciences "From my early days of commercializing IBM Watson, we realized that the real power of AI is not pitting humans against machines but pairing human and machine intelligence to unleash a new level of creativity and productivity at a scale we have never seen before. The authors of this book have done a wonderful job of articulating the real potential of AI - that of pairing human and machine intelligence to unleash a new level of creativity and productivity at a scale we have never seen before. I highly recommend reading this book to get a practical understanding of this complex and important subject." --Manoj Saxena, Chairman, CognitiveScale and AI Global; First General Manager, IBM Watson; Founder and Serial Entrepreneur
Machine Intelligence by Pethuru Raj,P Beaulah Soundarabai,Peter Augustine Pdf
Machines are being systematically empowered to be interactive and intelligent in their operations, offerings. and outputs. There are pioneering Artificial Intelligence (AI) technologies and tools. Machine and Deep Learning (ML/DL) algorithms, along with their enabling frameworks, libraries, and specialized accelerators, find particularly useful applications in computer and machine vision, human machine interfaces (HMIs), and intelligent machines. Machines that can see and perceive can bring forth deeper and decisive acceleration, automation, and augmentation capabilities to businesses as well as people in their everyday assignments. Machine vision is becoming a reality because of advancements in the computer vision and device instrumentation spaces. Machines are increasingly software-defined. That is, vision-enabling software and hardware modules are being embedded in new-generation machines to be self-, surroundings, and situation-aware. Machine Intelligence emphasizes computer vision and natural language processing as drivers of advances in machine intelligence. The book examines these technologies from the algorithmic level to the applications level. It also examines the integrative technologies enabling intelligent applications in business and industry. Features: Motion images object detection over voice using deep learning algorithms Ubiquitous computing and augmented reality in HCI Learning and reasoning in Artificial Intelligence Economic sustainability, mindfulness, and diversity in the age of artificial intelligence and machine learning Streaming analytics for healthcare and retail domains Covering established and emerging technologies in machine vision, the book focuses on recent and novel applications and discusses state-of-the-art technologies and tools.
Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining by Om Prakash Jena Pdf
Augmented intelligence is an alternate approach of artificial intelligence (AI), which emphasizes AI’s assistive role. Augmented intelligence enhances human skills of reasoning in a robotic system or software by simulating expectancy, educational mining, problem solving, recollection, sequencing, and decision-making capabilities. It is based on a combination of techniques such as machine learning, deep learning and cognitive computing. This book explains artificial intelligence models that support assistive processes in different situations. The contributors aim to provide information to a diverse audience with groundbreaking developments in mathematical computing. The book presents 8 chapters on these topics: - Educational data mining in augmented reality virtual learning environment - Brain and computer interfaces - Tree-based tools for chemometric analysis of infrared spectra - Applications of deep learning in medical engineering - Bankruptcy prediction model using an enhanced boosting classifier - Reputation systems for mobile agent security - The crow search algorithm - COVID-19 diagnosis and treatment The contents attempt to integrate various facets of augmented Intelligence, by describing recent research developments and advanced topics of interest to academicians and researchers working on machine learning problems and AI.
Artificial Intelligence meets Augmented Reality by Lele Chitra Pdf
Blending of AI and ARKey featuresThe book believes in the concept of teach by example. All the tools needed to facilitate quick understanding of complex concepts are provided in this book: Definition of key terms Industry studies, research statistics, etc., that clarify concepts Spotlight sections A Word of Caution sections Chapter summaries Questions for reflection Description Artificial Intelligence Meets Augmented Reality: Redefining Regular Reality is a unique book as it presents the new technology paradigm of artificial intelligence (AI) and augmented reality (AR) and its full transition, right from major advantages that enhance entire industries to changing how the world operates at various levels. New realities will emerge in the context of our existing world through the combination of AI-AR. The book presents both the bright and bleak sides of the AI-AR duo in order to give a holistic view and help us to decide how we are going to leverage such technologies-and whether their disruptive or transformative nature-will mar or make the future of our world. A workforce of enlightened engineers is the key to designing and developing AI-AR solutions with responsibility in order to achieve the greater good. Through the book, Chitra Lele has explained a multidisciplinary, integrated approach as to how we can minimize barriers and blend AI and AR without destroying our natural settings. The book will help to chart out a path where there is no trail yet, and get you started on developing AI-AR solutions and experiences in bettering the world in an ethical and responsible manner. What will you learn Dynamics of Artificial Intelligence and Augmented Reality AI and AR Ecosystem Business at the Crossroads of AI and AR What does the AI-AR Marriage Hold for the Future of the World Who this book is forStudents, Academicians, Educationists, Professionals and Policy researchers. Table of contentsPART 1-Dynamics of Artificial Intelligence and Augmented Reality1. Introduction to Artificial Intelligence and Augmented Reality2. AI and AR EcosystemPART 2-Business at the Crossroads of AI and AR3. AI Meets AR in the Business Landscape4. More Dynamics of the AI-AR ConvergencePART 3-What does the AI-AR Marriage Hold for the Future of the World5. Collaboration of Intelligence and Augmentation in the Real World6. Challenges and Solutions7. Where do We Go from HereAbout the authorChitra Lele is a young software consultant, academic author and research scholar. She is a double postgraduate: Master in Computer Management and Master of Science in Software Engineering. Her publications include scholarly articles, research papers and academic books. She has been conferred with the title of "e;A Versatile Writer"e; by the India Book of Records for penning maximum number of books in a short span of eighteen months in various genres.Her LinkedIn Profile: linkedin.com/in/chitraleleauthorandconsultant
Applications of AI, Machine Vision and Robotics by K L Boyer,L Stark,H Bunke Pdf
This text features a broad array of research efforts in computer vision including low level processing, perceptual organization, object recognition and active vision. The volume's nine papers specifically report on topics such as sensor confidence, low level feature extraction schemes, non-parametric multi-scale curve smoothing, integration of geometric and non-geometric attributes for object recognition, design criteria for a four degree-of-freedom robot head, a real-time vision system based on control of visual attention and a behavior-based active eye vision system. The scope of the book provides an excellent sample of current concepts, examples and applications from multiple areas of computer vision. Contents:Range Estimation from Camera Blur by Regularized Adaptive Identification (L F Holeva)Modeling Sensor Confidence for Sensor Integration Tasks (K Hughes & N Ranganathan)From 3-D Scattered Data to Geometric Signal Description: Invariant Stable Recovery of Straight Line Segments (P Hébert et al.)Feature Extraction and Matching as Signal Detection (X-P Hu & N Ahuja)Non-Parametric Multiscale Curve Smoothing (P L Rosin)Integration of Geometric and Non-Geometric Attributes for Fast Object Recognition (L Grewe & A Kak)A Four Degree-of-Freedom Robot Head for Active Vision (F-L Du & M Brady)Control of Eye and Arm Movements Using Active, Attentional Vision (P A Sandon)Behavior-Based Active Vision (C S Pinhanez) Readership: Computer scientists and engineers. keywords:
Augmented Intelligence by Judith Hurwitz,Henry Morris,Candace Sidner,Daniel Kirsch Pdf
The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human–Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence "The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."—Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley "Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, ’AI will not replace managers, but managers who use AI will replace managers who don't.’ This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."—Rob Thomas, General Manager, Data and AI, IBM
Augmented Intelligence and Intelligent Tutoring Systems by Claude Frasson,Phivos Mylonas,Christos Troussas Pdf
This book constitutes the refereed proceedings of the 19th International Conference on Augmented Intelligence and Intelligent Tutoring Systems, ITS 2023, held in Corfu, Greece, during June 2-5, 2023. The 41 full papers and 19 short papers presented in this book were carefully reviewed and selected from 84 submissions. The papers are divided into the following topical sections: augmented intelligence in tutoring systems; augmented intelligence in healthcare informatics; augmented intelligence in games, serious games and virtual reality; neural networks and data mining; augmented intelligence and metaverse; security, privacy and ethics in augmented intelligence; and applied natural language processing.
Automating Vision by Anthony McCosker,Rowan Wilken Pdf
Automating Vision explores the rise of seeing machines through four case studies: facial recognition, drone vision, mobile and locative media and driverless cars. Proposing a conceptual lens of camera consciousness, which is drawn from the early visual anthropology of Gregory Bateson and Margaret Mead, Automating Vision accounts for the growing power and value of camera technologies and digital image processing. Behind the smart camera devices examined throughout the book lies a set of increasingly integrated and automated technologies underpinned by artificial intelligence, machine learning and image processing. Seeing machines are now implicated in growing visual data markets and are supported by emerging layers of infrastructure that they coproduce. In this book, Anthony McCosker and Rowan Wilken address the social impacts, the disruptions and reconfigurations to existing digital media ecosystems, to urban environments and to mobility and social relations that result from the increasing automation of vision and explore how it might be possible to ensure a safe and equitable future as we learn to see with and negotiate the interventions of seeing machines. This book will appeal to students and scholars in media, communication, cultural studies, sociology of media and science and technology studies. More resources for the book can be found at https://www.anthonymccosker.com/automating-vision.
Augmented Intelligence Toward Smart Vehicular Applications by Nishu Gupta,Joel Rodrigues,Justin Dauwels Pdf
This up-to-date reference discusses important concepts of vehicular communication in intelligent transportation systems. Augmented Intelligence Toward Smart Vehicular Applications begins by discussing key objectives of intelligent transport systems and vehicular ad-hoc networks (VANETs). It then goes on to discuss challenges, applications and future trends in VANETs. The text focuses on the organization of artificial intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. This book will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering and transportation engineering. Features In-depth coverage of Internet of Things (IoT) in vehicular applications Discussion on nn-vehicle sensor networks Implementation of mobile IP and migration of IPv6 Focus on the need of AI in smart vehicular applications Discussions on advanced concepts in the field of intelligent transport systems
Measurements and Instrumentation for Machine Vision by Oleg Sergiyenko,Wendy Flores-Fuentes,Julio Rodriguez-Quiñonez,Jesús E Miranda-Vega Pdf
A comprehensive reference book that addresses the field of machine vision and its significance in cyber-physical systems. It explores the multidisciplinary nature of machine vision, involving electronic and mechatronic devices, artificial intelligence algorithms, embedded systems, control systems, robotics, interconnectivity, data science, and cloud computing. The book aims to provide advanced students, early career researchers, and established scholars with state-of-the-art knowledge and novel content related to the implementation of machine vision in engineering, scientific knowledge, and technological innovation. The chapters of the book delve into various topics and applications within the realm of machine vision. They cover areas such as camera and inertial measurement unit calibration, technical vision systems for human detection, design and evaluation of support systems using neural networks, UV sensing in contemporary applications, fiber Bragg grating arrays for medical diagnosis, color model creation for terrain recognition by robots, navigation systems for aircraft, object classification in infrared images, feature selection for vehicle/non-vehicle classification, visualization of sedimentation in extreme conditions, quality estimation of tea using machine vision, image dataset augmentation techniques, machine vision for astronomical images, agricultural automation, occlusion-aware disparity-based visual servoing, machine learning approaches for single-photon imaging, and augmented visual inertial wheel odometry. Each chapter is a result of expert research and collaboration, reviewed by peers and consulted by the book's editorial board. The authors provide in-depth reviews of the state of the art and present novel proposals, contributing to the development and futurist trends in the field of machine vision. "Measurements and Instrumentation for Machine Vision" serves as a valuable resource for researchers, students, and professionals seeking to explore and implement machine vision technologies in various domains, promoting sustainability, human-centered solutions, and global problem-solving.
