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The Domain Name Registration System: Liberalisation, Consumer Protection and Growth (Routledge Research in Information Technology and E-Commerce Law)
by Jenny NgThis book offers a comparative analysis of the domain name registration systems utililsed in Australia and the United Kingdom. Taking an international perspective, the author analyses the global trends and dynamics of the domain name registration systems and explores the advantages and disadvantages of restrictive and less restrictive systems by addressing issues of consumer protection. The book examines the regulatory frameworks in the restrictive and unrestrictive registration systems and considers recent developments in this area. Jenny Ng also examines the legal and economic implications of these regulatory frameworks, drawing upon economic theory, regulatory and systems theory as well as applying rigorous legal analysis. In doing so, this work proposes ways in which such systems could be better designed to reflect the needs of the specific circumstances in individual jurisdictions. The Domain Name Registration System will be of particular interest to academics and students of IT law and e-commerce.
Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML
by Karthikeyan NgBring magic to your mobile apps using TensorFlow Lite and Core MLKey FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook DescriptionMachine learning is a technique that focuses on developing computer programs that can be modified when exposed to new data. We can make use of it for our mobile applications and this book will show you how to do so.The book starts with the basics of machine learning concepts for mobile applications and how to get well equipped for further tasks. You will start by developing an app to classify age and gender using Core ML and Tensorflow Lite. You will explore neural style transfer and get familiar with how deep CNNs work. We will also take a closer look at Google’s ML Kit for the Firebase SDK for mobile applications. You will learn how to detect handwritten text on mobile. You will also learn how to create your own Snapchat filter by making use of facial attributes and OpenCV. You will learn how to train your own food classification model on your mobile; all of this will be done with the help of deep learning techniques. Lastly, you will build an image classifier on your mobile, compare its performance, and analyze the results on both mobile and cloud using TensorFlow Lite with an RCNN.By the end of this book, you will not only have mastered the concepts of machine learning but also learned how to resolve problems faced while building powerful apps on mobiles using TensorFlow Lite, Caffe2, and Core ML.What you will learnDemystify the machine learning landscape on mobileAge and gender detection using TensorFlow Lite and Core MLUse ML Kit for Firebase for in-text detection, face detection, and barcode scanningCreate a digit classifier using adversarial learningBuild a cross-platform application with face filters using OpenCVClassify food using deep CNNs and TensorFlow Lite on iOS Who this book is forMachine Learning Projects for Mobile Applications is for you if you are a data scientist, machine learning expert, deep learning, or AI enthusiast who fancies mastering machine learning and deep learning implementation with practical examples using TensorFlow Lite and CoreML. Basic knowledge of Python programming language would be an added advantage.
Flight Systems and Control: A Practical Approach (Springer Aerospace Technology)
by Tian Seng NgThis book focuses on flight vehicles and their navigational systems, discussing different forms of flight structures and their control systems, from fixed wings to rotary crafts. Software simulation enables testing of the hardware without actual implementation, and the flight simulators, mechanics, glider development and navigation systems presented here are suitable for lab-based experimentation studies. It explores laboratory testing of flight navigational sensors, such as the magnetic, acceleration and Global Positioning System (GPS) units, and illustrates the six-axis inertial measurement unit (IMU) instrumentation as well as its data acquisition methodology. The book offers an introduction to the various unmanned aerial vehicle (UAV) systems and their accessories, including the linear quadratic regulator (LQR) method for controlling the rotorcraft. It also describes a Matrix Laboratory (MATLAB) control algorithm that simulates and runs the lab- based 3 degrees of freedom (DOF) helicopter, as well as LabVIEW software used to validate controller design and data acquisition. Lastly, the book explores future developments in aviation techniques.
Real Time Control Engineering
by Tian Seng NgThis book covers the two broad areas of the electronics and electrical aspects of control applications, highlighting the many different types of control systems of relevance to real-life control system design. The control techniques presented are state-of-the-art. In the electronics section, readers will find essential information on microprocessor, microcontroller, mechatronics and electronics control. The low-level assembly programming language performs basic input/output control techniques as well as controlling the stepper motor and PWM dc motor. In the electrical section, the book addresses the complete elevator PLC system design, neural network plant control, load flow analysis, and process control, as well as machine vision topics. Illustrative diagrams, circuits and programming examples and algorithms help to explain the details of the system function design. Readers will find a wealth of computer control and industrial automation practices and applications for modern industries, as well as the educational sector.
Robotic Vehicles: Systems and Technology
by Tian Seng NgThis book introduces the technological innovations of robotic vehicles. It presents the concepts required for self-driving cars on the road. Besides, readers can gain invaluable knowledge in the construction, programming, and control of the six-legged robot. The book also presents the controllers and aerodynamics of several different types of rotorcrafts. It includes the simulation and flight of the various kinds of rotor-propelled air vehicles under each of their different aerodynamics environment. The book is suitable for academia, educators, students, and researchers who are interested in autonomous vehicles, robotics, and rotor-propelled vehicles.
New Digital Technology in Education
by Wan NgThis book addresses the issues confronting educators in the integration of digital technologies into their teaching and their students' learning. Such issues include a skepticism of the added value of technology to educational learning outcomes, the perception of the requirement to keep up with the fast pace of technological innovation, a lack of knowledge of affordable educational digital tools and a lack of understanding of pedagogical strategies to embrace digital technologies in their teaching. This book presents theoretical perspectives of learning and teaching today's digital students with technology and propose a pragmatic and sustainable framework for teachers' professional learning to embed digital technologies into their repertoire of teaching strategies in a systematic, coherent and comfortable manner so that technology integration becomes an almost effortless pedagogy in their day-to-day teaching. The materials in this book are comprised of original and innovative contributions, including empirical data, to existing scholarship in this field. Examples of pedagogical possibilities that are both new and currently practised across a range of teaching contexts are featured.
Sustaining Mobile Learning: Theory, research and practice (Routledge Research in Higher Education)
by Wan Ng Therese M. CummingMobile technologies are one of the fastest growing areas of technology in education. For learners, they offer an appealing opportunity to transcend teacher-defined knowledge and approaches by being able to access multiple, alternative sources of information anytime and anywhere. While the pace of engagement with and research into the educational applications of mobile technologies has picked up dramatically in the last decade, there is no consolidated view of how to sustain the practices or opportunities that are being explored. Sustainability is a complex but crucial issue in mobile learning as educational institutions are usually required to make substantial investments in mobile devices and associated technologies, time and training to initiate mobile learning programs. The complexity of sustainable mobile learning programs is further exacerbated by the fast pace of change of digital technologies, where with every change, new possibilities are opened up and investments required. In addition, educators are still attempting to reconcile institutions of formal education with informal mobile learning. The book addresses these issues, with a particular focus on: exploring the challenges surrounding the sustainability of mobile learning in K-12 and higher education investigating the importance of sustaining mobile learning for diverse populations of students globally discussing theoretical models for the sustainability of mobile learning providing the reader with strategies for sustaining mobile learning. Presenting new research alongside theoretical models and ideas for practice, the book will appeal to researchers, academics, and postgraduate students in the fields of education and mobile learning, as well as those working in teacher education.
Sensitivity Analysis for Neural Networks
by Wing W. Ng Daming Shi Ian Cloete Daniel S. YeungArtificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing these relationships. Perturbations of neural networks are caused by machine imprecision, and they can be simulated by embedding disturbances in the original inputs or connection weights, allowing us to study the characteristics of a function under small perturbations of its parameters. This is the first book to present a systematic description of sensitivity analysis methods for artificial neural networks. It covers sensitivity analysis of multilayer perceptron neural networks and radial basis function neural networks, two widely used models in the machine learning field. The authors examine the applications of such analysis in tasks such as feature selection, sample reduction, and network optimization. The book will be useful for engineers applying neural network sensitivity analysis to solve practical problems, and for researchers interested in foundational problems in neural networks.
Concise Guide to Optimization Models and Methods: A Problem-Based Test Prep for Students
by Xian Wen NgThis concise text contains the most commonly-encountered examination problems in the topic of Optimization Models and Methods, an important module in engineering and other disciplines where there exists an increasing need to operate optimally and sustainably under constraints, such as tighter resource availability, environmental consideration, and cost pressures. This book is comprehensive in coverage as it includes a diverse spectrum of problems from numerical open-ended questions that probe creative thinking to the relation of concepts to realistic settings. The book adopts many examples of design scenarios as context for curating sample problems. This will help students relate desktop problem-solving to tackling real-world problems. Succinct yet rigorous, with over a 100 pages of problems and corresponding worked solutions presented in detail, the book is ideal for students of engineering, applied science, and market analysis.
Engineering Problems for Undergraduate Students: Over 250 Worked Examples with Step-by-Step Guidance
by Xian Wen NgThis textbook supplement deconstructs some of the most commonly-encountered and challenging problems arising within engineering domains such as thermodynamics, separation processes, chemical kinetics, fluid dynamics, and engineering mathematics that are foundational to most engineering programs, as well as many courses in STEM disciplines. The book is organized into a series of 250 problems and worked solutions, with problems written in a format typical of exam questions. The book provides students ample practice in solving problems and sharpening their skill applying abstract theoretical concepts to solving exam problems. The presentation of detailed step-by-step explanations for each problem from start to finish in this book helps students follow the train of thought toward arriving at the final numerical solutions to the problems.Stands as an all-in-one, multidisciplinary, engineering problem-solving resource with comprehensive depth and breadth of coverage;Adopts a highly relevant question and answer pedagogy;Maximizes understanding through clear use of visuals;Emphasizes detailed, step-by-step explanations;Includes supplementary sections of cross-referenced concepts.
Digitisation of Culture: Namibian and International Perspectives
by Shawulu Nggada Anicia Peters Heike Winschiers-Theophilus Hippolyte N'Sung-Nza Muyingi Jürgen Sieck Dharm Singh JatThis book explores the digitization of culture as a means of experiencing and understanding cultural heritage in Namibia and from international perspectives. It provides various views and perspectives on the digitization of culture, the goal being to stimulate further research, and to rapidly disseminate related discoveries. Aspects covered here include: virtual and augmented reality, audio and video technology, art, multimedia and digital media integration, cross-media technologies, modeling, visualization and interaction as a means of experiencing and grasping cultural heritage. Over the past few decades, digitization has profoundly changed our cultural experience, not only in terms of digital technology-based access, production and dissemination, but also in terms of participation and creation, and learning and partaking in a knowledge society. Computing researchers have developed a wealth of new digital systems for preserving, sharing and interacting with cultural resources. The book provides important information and tools for policy makers, knowledge experts, cultural and creative industries, communication scientists, professionals, educators, librarians and artists, as well as computing scientists and engineers conducting research on cultural topics.
Artificial Intelligence in Data and Big Data Processing: Proceedings of ICABDE 2021 (Lecture Notes on Data Engineering and Communications Technologies #124)
by Ngoc Hoang Thanh Dang Yu-Dong Zhang João Manuel R. S. Tavares Bo-Hao ChenThe book presents studies related to artificial intelligence (AI) and its applications to process and analyze data and big data to create machines or software that can better understand business behavior, industry activities, and human health. The studies were presented at “The 2021 International Conference on Artificial Intelligence and Big Data in Digital Era” (ICABDE 2021), which was held in Ho Chi Minh City, Vietnam, during December 18-19, 2021. The studies are pointing toward the famous slogan in technology “Make everything smarter,” i.e., creating machines that can understand and can communicate with humans, and they must act like humans in different aspects such as vision, communication, thinking, feeling, and acting.“A computer would deserve to be called intelligent if it could deceive a human into believing that it was human” —Alan Turing
Transactions on Computational Collective Intelligence XV (Lecture Notes in Computer Science #8670)
by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Juan Manuel Corchado and Javier BajoThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 15th issue contains extended and revised versions of the best papers presented at the International Conference on Practical Applications on Agents and Multi-Agent Systems (PAAMS 2012 and PAAMS 2013) held in Salamanca, Spain.
Intelligent Information and Database Systems: 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3–5, 2017, Proceedings, Part II (Lecture Notes in Computer Science #10192)
by Ngoc Thanh Nguyen, Satoshi Tojo, Le Minh Nguyen and Bogdan TrawińskiThe two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions. They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Intelligent and Context Systems; Multiple Model Approach to Machine Learning; Applications of Data Science; Artificial Intelligence Applications for E-services; Automated Reasoning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence for Service Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for Internet of Things; Intelligent Algorithms and Brain Functions; Intelligent Systems and Algorithms in Information Sciences; IT in Biomedicine; Intelligent Technologies in the Smart Cities in the 21st Century; Analysis of Image, Video and Motion Data in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information Science; Scalable Data Analysis in Bioinformatics and Biomedical Informatics; and Technological Perspective of Agile Transformation in IT organizations.
Intelligent Information and Database Systems: 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017, Proceedings, Part I (Lecture Notes in Computer Science #10191)
by Ngoc Thanh Nguyen, Satoshi Tojo, Le Minh Nguyen and Bogdan TrawińskiThe two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions.They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Intelligent and Context Systems; Multiple Model Approach to Machine Learning; Applications of Data Science; Artificial Intelligence Applications for E-services; Automated Reasoning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence for Service Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for Internet of Things; Intelligent Algorithms and Brain Functions; Intelligent Systems and Algorithms in Information Sciences; IT in Biomedicine; Intelligent Technologies in the Smart Cities in the 21st Century; Analysis of Image, Video and Motion Data in Life Sciences; Modern Applications of Machine Learning for Actionable Knowledge Extraction; Mathematics of Decision Sciences and Information Science; Scalable Data Analysis in Bioinformatics and Biomedical Informatics; and Technological Perspective of Agile Transformation in IT organizations.
Managing Digital Records in Africa
by Mpho NgoepeManaging Digital Records in Africa draws on the research work of the InterPARES Trust (ITrust) project that investigated interrelated archival issues focusing on legal analysis, infrastructure, trust, authentication, and education within the African context. This research-focused book provides a legal analysis and systematic assessment of how African institutions manage digital records in four countries (i.e., Botswana, Kenya, South Africa, and Zimbabwe). It also examines the extent to which records are managed using Internet-based applications, trust in such records, and digital record authentication to support the auditing process. Finally, it provides a curriculum analysis in digital records at institutions of higher learning in 38 African countries. The book's case studies illustrate the threads of discussion, which span the ITrust domains of legislation, infrastructure, authentication, trust, and education in archives and records management. The book can be used as a premier reference source by private and public organizations, researchers, educators, archivists, records managers, and postgraduate students to make informed decisions about digital records, records management systems, cloud-based services, authenticating records, and identifying universities on the continent that offer archival programmes. The book may also find expression to practitioners in other fields such as law and auditing.
Tourism Analytics Before and After COVID-19: Case Studies from Asia and Europe
by Yok Yen NguwiThis book is compilation of different analytics and machine learning techniques focusing on the tourism industry, particularly in measuring the impact of COVID-19 as well as forging a path ahead toward recovery. It includes case studies on COVID-19's effects on tourism in Europe, Hong Kong, China, and Singapore with the objective of looking at the issues through a data analytical lens and uncovering potential solutions. It adopts descriptive analytics, predictive analytics, machine learning predictive models, and some simulation models to provide holistic understanding.There are three ways in which readers will benefit from reading this work. Firstly, readers gain an insightful understanding of how tourism is impacted by different factors, its intermingled relationship with macro and business data, and how different analytics approaches can be used to visualize the issues, scenarios, and resolutions. Secondly, readers learn to pick up data analytics skills from the illustrated examples. Thirdly, readers learn the basics of Python programming to work with the different kinds of datasets that may be applicable to the tourism industry.
Hands-On Healthcare Data: Taming The Complexity Of Real-world Data
by Andrew NguyenHealthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data.This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics.You'll learn:Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims dataThe challenges of working with healthcare data, especially when trying to aggregate data from multiple sourcesCurrent options for extracting structured data from clinical textHow to make trade-offs when using tools and frameworks for normalizing structured healthcare dataHow to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks
Artificial Intelligence in Radiation Therapy: First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (Lecture Notes in Computer Science #11850)
by Dan Nguyen Lei Xing Steve JiangThis book constitutes the refereed proceedings of the First International Workshop on Connectomics in Artificial Intelligence in Radiation Therapy, AIRT 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.The 20 full papers presented were carefully reviewed and selected from 24 submissions. The papers discuss the state of radiation therapy, the state of AI and related technologies, and hope to find a pathway to revolutionizing the field to ultimately improve cancer patient outcome and quality of life.
Digital Research Methods and the Diaspora: Assembling Transnational Networks with and Beyond Digital Data
by Dang NguyenThe computational turn in the social sciences and humanities has generated much excitement about the potential to refresh our approaches to the study of the techno-social. From natively digital to digitised data, researchers of digital diasporas increasingly find themselves working with a range of disparate digital objects. These digital objects can include anything from hyperlink to timestamps, from platform behavioural metrics such as react, share, or retweet to different media formats such as text, image, pre-recorded or livestreamed videos. Taking these disparate objects into account, this book introduces digital methods as research strategies not only for dealing with the ephemeral and unstable nature of tracing the diaspora with digital data, but also for reconceptualizing digital diasporas as assemblages and networks of more-than-human actors. The book also introduces a range of theoretical perspectives and methodological techniques to studying digital diasporas as contingent and processual hybrid collectives of heterogeneous material, cultural, and practice-based assemblages. This book will be essential reading for students and scholars interested in the digital space and transnational communities.
Jump Start Node.js: Get Up to Speed With Node.js in a Weekend
by Don NguyenNode.js is changing the way web apps are built. As Node.js apps are written in JavaScript, you can quickly and simply use your front-end skills to develop staggeringly fast, scalable real-time web applications. Read this book and, in a weekend, you’ll learn how to: Develop a complete working Node.js application - from start-to-finishDeploy your new application to a production serverScale your projects quickly and cheaply PLUS discover how to use Twitter Bootstrap, MongoDB and Back-bone.js to create fancy web apps, extend their storage, and dy-namically update them.
30th Biennial Symposium on Communications 2021 (Signals and Communication Technology)
by Ha Nguyen Long Le Pradeepa Yahampath Ebrahim Bedeer MohamedThe book presents the proceedings of the 30th Biennial Symposium on Communications 2021 (BSC21), a prestigious international research conference in communications, information theory, and signal processing. Started in 1962 by Queen’s University, Canada, the Symposium is now presented by the Canadian Society of Information Theory. Its 30th edition was hosted virtually by The University of Saskatchewan and held in Saskatoon from June 28 to 30, 2021. Topics include Communication and Information Theory, Coding and Signal Processing for Communications, and Multiple Antenna Systems and Cooperative Communications.
Statistics and Data Science: Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24–26, 2019, Proceedings (Communications in Computer and Information Science #1150)
by Hien NguyenThis book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019. The 11 papers presented in this book were carefully reviewed and selected from 23 submissions. The volume also contains 7 invited talks. The workshop brought together academics, researchers, and industry practitioners of statistics and data science, to discuss numerous advances in the disciplines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability.
Computational Social Networks: 5th International Conference, CSoNet 2016, Ho Chi Minh City, Vietnam, August 2-4, 2016, Proceedings (Lecture Notes in Computer Science #9795)
by Hien T. Nguyen Vaclav SnaselSocial networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2. 0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas. "
Data Augmentation, Labelling, and Imperfections: Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science #13567)
by Hien V. Nguyen Sharon X. Huang Yuan XueThis book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022.DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.