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Consumer Behaviour and Digital Transformation (Business and Digital Transformation)
by Ayantunji GbadamosiThis comprehensive textbook explores how technological developments and emerging technologies impact on, and engage with, consumer behaviour and decision making globally. The book will enable readers to develop a coherent understanding of the basic underpinnings of consumer behaviour as they relate to individual and group-oriented consumption decisions, offering insight into how consumer behaviour, contemporary real-life situations, and digital technology are inextricably linked.Key learning objectives, exercises and activities, boxed examples and analytical frameworks facilitate and enrich students’ learning. Each chapter includes ‘pause, plan, and practice (PPP)’ activities, as well as real-life case studies exploring digital consumption, digital consumer experiences, and digital trends across industries, from global companies such as Nike and McDonald’s to the digital transformation of SMEs. Combining a thorough examination of traditional theory with a fresh approach to the impact of digital transformation on consumer behaviour, this textbook should be core reading for advanced undergraduate and postgraduate students studying Consumer Behaviour, Consumer Psychology, Customer Experience Management, and Digital Marketing.This book will be accompanied by online resources for the use of instructors, including PowerPoint slides and a test bank.
AI for Radiology (AI for Everything)
by Oge MarquesArtificial intelligence (AI) has revolutionized many areas of medicine and is increasingly being embraced. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows. This book reviews, explains, and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. AI for Radiology presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration. This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up to date with AI developments, computer scientists curious about AI’s clinical applications, and anyone interested in the intersection of healthcare and technology.
5G and Beyond Wireless Networks: Technology, Network Deployments, and Materials for Antenna Design (Materials, Devices, and Circuits)
by Ghanshyam Singh Shubham Tayal Vijay Shanker Tripathi Indrasen Singh Niraj Pratap Singh5G and Beyond Wireless Networks: Technology, Network Deployments, and Materials for Antenna Design offers a comprehensive overview of 5G and beyond 5G wireless networks along with emerging technologies that support the design and development of wireless networks. It also includes discussions on various materials used for practical antenna design which are suitable for 5G, beyond 5G applications, and cell-free massive MIMO systems.The book discusses the latest techniques used in 5G and beyond 5G (B5G) communication, such as non-orthogonal multiple access (NOMA), device-to-device (D2D) communication, 6G ultra-dense O-RAN, rate-splitting multiple access (RSMA), simultaneous wireless information and power transfer (SWIPT), massive multiple input multiple output (mMIMO), and cell-free massive MIMO systems, which are explained in detail for 5G and beyond cellular networks. The description of NOMA and their benefit for 5G and beyond networks is also addressed along with D2D communication for next generation cellular networks. RSMA technique is also explained for 6G communication. Detailed descriptions for the design and development of 5G and beyond networks over various techniques are included. The materials specification to design antenna for 5G application are also given.The role of metalens in designing effective antennas and material specifications for 5G applications is explained in this book. Apart from the above emerging topics, this book also gives ideas about intelligent communication, Internet of Multimedia Things (IOMT), millimeter-wave MIMO-UFMC, and fog computing cloud networks. The last chapter gives details about the legal frameworks for 5G technology for responsible and sustainable deployment. Overall, this book may benefit network design engineers and researchers working in the area of next generation cellular networks.The contents of this book will be helpful for young researchers and master students, and network design engineers who are working in the area of next generation cellular networks.
Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications
by R. Sathiyaraj T. V. Ramana G. S. Pradeep Ghantasala Mudassir KhanIntelligent systems are technologically advanced machines that perceive and respond to the world around them. Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications presents the evolution, challenges, and limitations of the application of machine learning and artificial intelligence to intelligent systems and smart communities. Covers the core and fundamental aspects of artificial intelligence, machine learning, and computational algorithms in smart intelligent systems Discusses the integration of artificial intelligence with machine learning using mathematical modeling Elaborates concepts like supervised and unsupervised learning, and machine learning algorithms, such as linear regression, logistic regression, random forest, and performance evaluation matrices Introduces modern algorithms such as convolutional neural networks and support vector machines Presents case studies on smart healthcare, smart traffic management, smart buildings, autonomous vehicles, smart education, modern community, and smart machines Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner.
Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Dothang TruongAs data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.
Online Chinese Learning: Exploring Effective Language Learning Strategies (Routledge Studies in Chinese as a Foreign Language)
by Lijuan ChenOnline Chinese Learning aims to investigate the types of language learning strategies (LLSs) that online Chinese learners use across asynchronous and synchronous learning environments in different learning contexts.This book examines how the use of language learning strategies by online Chinese learners is influenced by the interactants; the characteristics of the specific learning context; and selected individual learner characteristics. This book will provide: (1) new and detailed information about students’ LLS use in online Chinese learning; (2) insights into how individual students adopt LLSs and technological tools to solve learning problems in various learning contexts; (3) an exploration of factors influencing LLS use; and (4) recommendations regarding LLS adoption, use, and training.This book will be a valuable resource for university instructors in languages, language teaching methods, and second language acquisition, as well as researchers in languages, linguistics, and language learning and teaching.
Power Up: Making the Shift to 1:1 Teaching and Learning
by Diana Neebe Jen RobertsWherever you are on the path to 1:1 teaching and learning, you need a guide that can help you make the best use of the powerful technology available in today's classrooms. In Power Up: Making the Shift to 1:1 Teaching and Learning, Diana Neebe and Jen Roberts draw on research and their extensive experience working with teachers across subject areas and grade levels to share the keys to success when teaching with a computer or tablet for every student. This is the book secondary teachers need to understand the changes in pedagogy, planning, classroom organization, time management, and collaboration that will help them be successful in a 1:1 environment. Whether providing immediate and detailed feedback to student writers, giving voice to quiet learners, or creating more time for actual work in a jam-packed school day, Neebe and Roberts show teachers how communication, differentiation, and other effective practices can be powered up with personalized technology. Throughout the book, Neebe and Roberts coach teachers through their initial concerns about technology integration, offer advice about avoiding common problems, and encourage innovation. Using detailed classroom examples, questions, and suggestions, they provide a framework for shaping the transformation of a traditional classroom into a student-centered, technology-rich learning environment. Readers will come away with a clear sense of how a fully implemented 1:1 classroom operates. Power Up makes the transition to 1:1 a manageable and exciting journey. It's a key part of supporting teachers and ensuring the success of your 1:1 program.
The Way of the Intellectual Dark Web: What Joe Rogan and His Associates Can Teach Us about Political Dialogue
by Jamie Q RobertsRoberts presents a rigorous and accessible assessment of the Intellectual Dark Web’s origins, shared philosophy, cultural importance, and limitations. Since the mid-2010s, the Intellectual Dark Web (IDW) has been an unprecedented cultural and intellectual phenomenon. Using primarily podcasts and YouTube videos, a new generation of public intellectuals has appeared, loosely coalesced, and gained a vast global audience. This movement has encompassed a range of individuals, notably Joe Rogan, Jordan Peterson, Eric and Bret Weinstein, Ben Shapiro, Heather Heying, and Sam Harris. Other names more broadly associated with the grouping have included Steven Pinker, Jonathan Haidt, Elon Musk, Niall Ferguson, and Stephen Fry. There is a sprawling and ever-growing list of those who have appeared on IDW podcasts and videos, started their own podcasts along similar lines, and share a general ethos. It is a dispersed movement, but a significant one, given the reach of these various online outlets is in the millions globally. Roberts draws together and synthesises the core ideas espoused by the members of this movement and critically assesses its origins, coherence, and the impact it has had on politics and public discourse. He asks – to what extent has the IDW lived up to its professed goal of moving beyond polarisation and radicalisation? An insightful read both for followers of the IDW looking for a coherent and critical overview and for students of popular culture looking to understand this massive but decentralised popular intellectual movement.
A Learning Community of Reflective Teachers: From Whispers to Resonance
by Neeraja RaghavanTeachers possess a wealth of untapped wisdom and valuable experience. Whether it’s in matter of educational policy, curriculum development or textbook selection, teachers carry a trove of information and insights to share. Traditionally, teacher development has been driven by administrators of schools, and it often takes the form of a ‘mentor’ teaching the staff of a school. But what happens when teachers across different locations collaborate and learn together? This volume documents such an initiative, sparked off by the Covid-19 pandemic, which brought people together online. It underscores the power of teachers debating, discussing, and learning from each other. Based on an Indian experience, the book addresses a range of issues teachers and educators face across the world — encompassing pedagogy, classroom management, school culture and teacher development. A unique story of community building and teacher education, this book also contains key outcomes and insights which take us through their action research projects and showcases a model of teacher development that can be adopted by interested readers. Above all, it brings out the crying need for a teacher’s voice to be heard — for far too long, teachers have been mere implementers of decisions taken by policy makers or managements of schools. By means of networking communities such as the one described in this book, the transformation of teachers going from whispers to resonance is greatly amplified. An important intervention in the domain of teacher development, this volume will be of great interest to students, researchers and practitioners of education, teacher education, and sociology of education. It will also be useful for teacher trainees, academicians, teacher educators, policymakers, schoolteachers, curriculum developers, teacher training institutes, and universities offering teacher education programs.
Intermediate C Programming
by Yung-Hsiang Lu George K. ThiruvathukalRevised for a new second edition, Intermediate C Programming provides a stepping-stone for intermediate-level students to go from writing short programs to writing real programs well. It shows students how to identify and eliminate bugs, write clean code, share code with others, and use standard Linux-based tools, such as ddd and valgrind. This second edition provides expanded coverage of these topics with new material focused on software engineering, including version control and unit testing. The text enhances their programming skills by explaining programming concepts and comparing common mistakes with correct programs. It also discusses how to use debuggers and the strategies for debugging as well as studies the connection between programming and discrete mathematics. Including additional student and instructor resources available online, this book is particularly appealing as a classroom resource.
Finding Your Voice in Radio, Audio, and Podcast Production
by Rob QuickeThis book provides a unique identity-centered approach to radio, audio, and podcast production which encourages readers to build their confidence and create audio content that matters to them. Written for those just starting out in audio production and focusing on the process of their self-development, readers will learn how to use sound to express themselves in a variety of ways and to create powerful stories in the process – all with the tools already available to them. At the centre of this approach is the author’s R.E.A.L. method, referring to the creation of audio that is relatable, engaging, authentic, and liberating. Students will learn to apply this concept to each step of the production process, from planning and writing through to interviewing, broadcasting, and responding to feedback. By the end of this book readers will have developed a working knowledge of podcast, audio, and radio production alongside their own means of self-expression. Supported by exercises and interviews with audio practitioners throughout, Finding Your Voice in Radio, Audio, and Podcast Production is a key resource for anyone approaching radio, audio, or podcasting for the first time. A supporting companion website with Instructor and Student Resources is available at www.robquicke.com.
Multilingual Digital Humanities (Digital Research in the Arts and Humanities)
by Paul Spence Lorella ViolaMultilingual Digital Humanities explores the impact of monolingualism—especially Anglocentrism—on digital practices in the humanities and social sciences. The volume explores a wide range of applied contexts, such as digital linguistic injustice, critical digital literacy, digital learning, digital publishing, low-resourced, minoritised or endangered languages in a digital space, and multilingual historical intertextuality. These discussions are situated within wider work on language technologies, language documentation and international (in particular European) language-based infrastructure creation. Drawing on both primary and secondary research, this four-part book features 13 diverse case studies of infrastructural projects, pedagogical resources, computational models, interface building, and publishing initiatives in a range of languages, including Arabic, French, Russian, Portuguese, Italian, German, Spanish, Bengali, Hindi, Malayalam, and Tamil. All the debates are contextualised within a wider cultural frame, thus bridging the gap between the linguistic focus of the multilingual initiatives and wider discussion of cultural criticism in DH. Multilingual Digital Humanities recognizes the digital as a culturally situated and organic multilingual entity embedding past, present, and future worlds, which reacts to and impacts on institutional and methodological frameworks for knowledge creation. It is essential reading for students, scholars, and practitioners working in digital humanities and digital studies.
Multilingual Digital Humanities (ISSN)
by Paul Spence Lorella ViolaMultilingual Digital Humanities explores the impact of monolingualism—especially Anglocentrism—on digital practices in the humanities and social sciences.The volume explores a wide range of applied contexts, such as digital linguistic injustice, critical digital literacy, digital learning, digital publishing, low-resourced, minoritised or endangered languages in a digital space, and multilingual historical intertextuality. These discussions are situated within wider work on language technologies, language documentation and international (in particular European) language-based infrastructure creation. Drawing on both primary and secondary research, this four-part book features 13 diverse case studies of infrastructural projects, pedagogical resources, computational models, interface building, and publishing initiatives in a range of languages, including Arabic, French, Russian, Portuguese, Italian, German, Spanish, Bengali, Hindi, Malayalam, and Tamil. All the debates are contextualised within a wider cultural frame, thus bridging the gap between the linguistic focus of the multilingual initiatives and wider discussion of cultural criticism in DH. Multilingual Digital Humanities recognizes the digital as a culturally situated and organic multilingual entity embedding past, present, and future worlds, which reacts to and impacts on institutional and methodological frameworks for knowledge creation. It is essential reading for students, scholars, and practitioners working in digital humanities and digital studies.
Applied Machine Learning Using mlr3 in R
by Lars Kotthoff Bernd Bischl Raphael Sonabend Michel Langmlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak performance; building machine learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with custom learners, measures, or pipeline components. Features: In-depth coverage of the mlr3 ecosystem for users and developers Explanation and illustration of basic and advanced machine learning concepts Ready to use code samples that can be adapted by the user for their application Convenient and expressive machine learning pipelining enabling advanced modelling Coverage of topics that are often ignored in other machine learning books The book is primarily aimed at researchers, practitioners, and graduate students who use machine learning or who are interested in using it. It can be used as a textbook for an introductory or advanced machine learning class that uses R, as a reference for people who work with machine learning methods, and in industry for exploratory experiments in machine learning.
Raspberry Pi OS System Administration with systemd and Python: A Practical Approach
by Robert M. KoretskyThe second in a new series exploring the basics of Raspberry Pi Operating System administration, this installment builds on the insights provided in Volume 1 to provide a compendium of easy-to-use and essential Raspberry Pi OS system administration for the novice user, with specific focus on Python and Python3. The overriding idea behind system administration of a modern, 21st-century Linux system such as the Raspberry Pi OS is the use of systemd to ensure that the Linux kernel works efficiently and effectively to provide these three foundation stones of computer operation and management: computer system concurrency, virtualization, and secure persistence. Exercises are included throughout to reinforce the readers’ learning goals with solutions and example code provided on the accompanying GitHub site. This book is aimed at students and practitioners looking to maximize their use of the Raspberry Pi OS. With plenty of practical examples, projects, and exercises, this volume can also be adopted in a more formal learning environment to supplement and extend the basic knowledge of a Linux operating system.
Frontiers in Technology-Mediated Language Learning (New Directions in Computer Assisted Language Learning)
by Mark Peterson Nasser JabbariIn the context of continuing technological innovation, the field of technology-mediated foreign language learning is expanding rapidly. Advances in digital technologies are providing researchers with opportunities to investigate a range of exciting new areas of research. This edited volume is designed to showcase a selection of recent cutting-edge innovations. This publication incorporates chapters dealing with the use virtual reality, social networking, speech technologies and social semiotics. Also included are chapters that focus on the relevant review work that is vital for progress in the field. This publication provides an indispensable guide to a wide range of practitioners, including language educators, researchers, graduate students, learning scientists and instructional designers.
Transformative AI: Responsible, Transparent, and Trustworthy AI systems (River Publishers Series in Computing and Information Science and Technology)
by Ahmed BanafaTransformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment.The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy.The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities.Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years.
The Turing Test Argument (Routledge Studies in Twentieth-Century Philosophy)
by Bernardo GonçalvesThis book departs from existing accounts of Alan Turing's imitation game and test by placing Turing's proposal in its historical, social, and cultural context. It reconstructs a controversy in England, 1946–1952, over the intellectual capabilities of digital computers, which led Turing to propose his test. It argues that the Turing test is best understood not as a practical experiment, but as a thought experiment in the modern scientific tradition of Galileo Galilei. The logic of the Turing test argument is reconstructed from the rhetoric of Turing’s irony and wit. Turing believed that learning machines should be understood as a new kind of species, and their thinking as different from human thinking and yet capable of imitating it. He thought that the possibilities of the machines he envisioned were not utopian dreams. And yet he hoped that they would rival and surpass chauvinists and intellectuals who sacrifice independent thinking to maintain their power. These would be transformed into ordinary people, as work once considered 'intellectual' would be transformed into non-intellectual, 'mechanical' work. The Turing Test Argument will appeal to scholars and students in the sciences and humanities and all those interested in Turing's vision of the future of intelligent machines in society and nature.
Tiny Android Projects Using Kotlin
by Denis Panjuta Loveth NwokikeIn today’s fast-paced world, Android development is a rapidly evolving field that requires regular updates to keep up with the latest trends and technologies. Tiny Android Projects Using Kotlin is an excellent resource for developers who want to learn to build Android applications using the latest tools and frameworks. KEY FEATURES • Teaches building Android apps using Kotlin, XML, and Jetpack Compose • Includes saving data on the device using the Room database library • Teaches communication between an Android device and data on the internet using REST API • Shows how to create different Android menu navigations using Jetpack Compose • Introduces the most architectures used in Android Projects and implements MVVM With Kotlin being the most preferred language for Android development, this book provides a practical, hands-on approach to learning the language and building high-quality Android apps using Kotlin, XML, and Jetpack Compose.
User Experience Research and Usability of Health Information Technology
by Jessica Lynn CampbellHealth information technology (HIT) is a critical component of the modern healthcare system. Yet to be effective and safely implemented in healthcare organizations and physicians and patients’ lives, it must be usable and useful. User Experience (UX) research is required throughout the full system design lifecycle of HIT products, which involve a user-centered and human- centered approach. This book discusses UX research frameworks, study designs, methods, data-analysis techniques, and a variety of data collection instruments and tools that can be used to conduct UX research in the healthcare space, all of which involve HIT and digital health. This book is for academics and scholars to be used to design studies for graduate dissertation work, in independent research, or as a textbook for UX/usability courses in health informatics or related health information and communication courses. This book is also useful for UX practitioners because it provides guidance on how to design a user research or usability study and focuses on leveraging a mixed- methods approach, including step-by-step by instructions and best practices for conducting: Field studies Interviews Focus groups Diary studies Surveys Heuristic evaluation Cognitive walkthrough Think aloud A plethora of standardized surveys and retrospective questionnaires (SUS, Post-study System Usability Questionnaire (PSSUQ)) are also included. UX researchers and healthcare professionals will gain an understanding of how to design a rigorous, yet feasible study that generates useful insights to inform the design of usable HIT. Everything from consent forms to how many participants to include in a usability study has been covered in this book. The author encourages user-centered design (UCD), mixed-methods, and collaboration amongst interdisciplinary teams. Knowledge from many inter-related disciplines, like psychology, technical communication (TC), and human-computer interaction (HCI), together with experiential knowledge from experts is offered throughout the text.
Ethical Considerations of Virtual Reality in the College Classroom: Cross-Disciplinary Case Studies of Immersive Technology Implementation
by Melody Bowdon Kevin Yee William DornerEthical Considerations of Virtual Reality in the College Classroom collects case studies that address both pedagogical and ethical foundations of extended reality tools in postsecondary learning environments across disciplines. With today’s institutional programs and faculty leveraging cutting-edge virtual, augmented, and mixed reality opportunities to teach and promote achievement goals, it is imperative that new research into these technologies speaks directly to their challenges and affordances within broad academic settings. This book showcases real-world examples of faculty members who chronicle and develop their use of VR tools across learning contexts and student populations by creating their own digital experiences, adapting open-source tools, integrating commercial products, amplifying crucial course content, analyzing outcomes data, and more. Nontechnical readers will come away with a new understanding of key terms and concepts associated with virtual reality and essential heuristics for evaluating the ethical implications of immersive approaches.
Image Processing and Machine Learning, Volume 2: Advanced Topics in Image Analysis and Machine Learning
by Erik Cuevas Alma Nayeli RodríguezImage processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches. Divided into two volumes, this second installment explores the more advanced concepts and techniques in image processing, including morphological filters, color image processing, image matching, feature-based segmentation utilizing the mean shift algorithm, and the application of singular value decomposition for image compression. This second volume also incorporates several important machine learning techniques applied to image processing, building on the foundational knowledge introduced in Volume 1. Written with instructors and students of image processing in mind, this book’s intuitive organization also contains appeal for app developers and engineers.
Image Processing and Machine Learning, Volume 1: Foundations of Image Processing
by Erik Cuevas Alma Nayeli RodríguezImage processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches. Divided into two volumes, this first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. It provides a solid foundation for readers interested in understanding the core principles and practical applications of image processing, establishing the essential groundwork necessary for further explorations covered in Volume 2. Written with instructors and students of image processing in mind, this book’s intuitive organization also contains appeal for app developers and engineers.
Quantum Artificial Intelligence with Qiskit
by Andreas WichertQuantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines quantum computing with Artificial Intelligence (AI), aiming to use the unique properties of quantum computers to enhance the capabilities of AI systems. Quantum Artificial Intelligence with Qiskit provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer. Introducing symbolical quantum algorithms, sub-symbolical quantum algorithms, and quantum Machine Learning (ML) algorithms, this book explains each process step by step with associated Qiskit listings. All examples are additionally available for download at https://github.com/andrzejwichert/qai. Allowing readers to learn the basic concepts of quantum computing on their home computers, this book is accessible to both the general readership as well as students and instructors of courses relating to computer science and AI.
Deep Learning for Multimedia Processing Applications: Volume Two: Signal Processing and Pattern Recognition
by Mengxing Huang Muhammad Aamir Uzair Aslam Bhatti Jingbing Li Sibghat Ullah BazaiDeep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume Two delves into advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), explaining their unique capabilities in multimedia tasks. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.