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Essential Programming for the Technical Artist
by Chris RodaThis book is based on a successful curriculum designed to elevate technical artists with no programming experience up to essential programming competency as quickly as possible. Instead of abstract, theoretical problems, the curriculum employs familiar applications encountered in real production environments to demonstrate each lesson.Written with artists in mind, this book introduces novice programmers to the advantageous world of Python programming with relevant and familiar examples. Any digital artists (not just technical artists) will find this book helpful in assisting with day-to-day production activities.Concentrating upon subjects relevant to the creation of computer graphic assets, this book introduces Python basics, functions, data types, object-oriented programming, exception handling, file processing, graphical user interface creation, PEP 8 standards, and regular expressions. Programming within the SideFX Houdini 3D animation software provides a familiar environment for artists to create and experiment with the covered Python topics.
Essential Programming for the Technical Artist
by Chris RodaThis book is based on a successful curriculum designed to elevate technical artists with no programming experience up to essential programming competency as quickly as possible. Instead of abstract, theoretical problems, the curriculum employs familiar applications encountered in real production environments to demonstrate each lesson.Written with artists in mind, this book introduces novice programmers to the advantageous world of Python programming with relevant and familiar examples. Any digital artists (not just technical artists) will find this book helpful in assisting with day-to-day production activities.Concentrating upon subjects relevant to the creation of computer graphic assets, this book introduces Python basics, functions, data types, object-oriented programming, exception handling, file processing, graphical user interface creation, PEP 8 standards, and regular expressions. Programming within the SideFX Houdini 3D animation software provides a familiar environment for artists to create and experiment with the covered Python topics.
Spatiotemporal Data Analytics and Modeling: Techniques and Applications (Big Data Management)
by John A Satheesh Abimannan El-Sayed M. El-Alfy Yue-Shan ChangWith the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with artificial intelligence and machine learning and internet of things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with artificial intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of artificial intelligence and machine learning for spatiotemporal data analysis and modeling. The book is composed of several chapters written by experts in their fields and focusing on several applications including recommendation systems, big data analytics, supply chains and e-commerce, energy consumption and demand forecasting,and traffic and environmental monitoring. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as data science and engineering, big data analytics and mining, artificial intelligence, machine learning and deep learning, cloud computing, and internet of things.
Artificial Intelligence for Sustainable Development (EAI/Springer Innovations in Communication and Computing)
by Anandakumar Haldorai Babitha Lincy R Suriya Murugan Minu BalakrishnanThis book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.
Intelligent Healthcare Systems
by Vania V. EstrelaThe book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.
CompTIA Security+ Study Guide with over 500 Practice Test Questions: Exam SY0-701 (Sybex Study Guide)
by Mike Chapple David SeidlMaster key exam objectives and crucial cybersecurity concepts for the CompTIA Security+ SY0-701 exam, along with an online test bank with hundreds of practice questions and flashcards In the newly revised ninth edition of CompTIA Security+ Study Guide: Exam SY0-701, veteran cybersecurity professionals and educators Mike Chapple and David Seidl deliver easy-to-follow coverage of the security fundamentals tested by the challenging CompTIA SY0-701 exam. You’ll explore general security concepts, threats, vulnerabilities, mitigations, security architecture and operations, as well as security program management and oversight. You’ll get access to the information you need to start a new career—or advance an existing one—in cybersecurity, with efficient and accurate content. You’ll also find: Practice exams that get you ready to succeed on your first try at the real thing and help you conquer test anxiety Hundreds of review questions that gauge your readiness for the certification exam and help you retain and remember key concepts Complimentary access to the online Sybex learning environment, complete with hundreds of additional practice questions and flashcards, and a glossary of key terms, all supported by Wiley's support agents who are available 24x7 via email or live chat to assist with access and login questions Perfect for everyone planning to take the CompTIA SY0-701 exam, as well as those aiming to secure a higher-level certification like the CASP+, CISSP, or CISA, this study guide will also earn a place on the bookshelves of anyone who’s ever wondered if IT security is right for them. It’s a must-read reference!And save 10% when you purchase your CompTIA exam voucher with our exclusive WILEY10 coupon code.
Artificial Intelligence: What Is Behind the Technology of the Future?
by Gerhard Paaß Dirk HeckerArtificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life – from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book “Künstliche Intelligenz – Was steckt hinter der Technologie der Zukunft?” originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.
Praxiswissen Online-Marketing: Affiliate-, Influencer-, Content-, Social-Media-, Amazon-, Voice-, B2B-, Sprachassistenten- und E-Mail-Marketing, Google Ads, SEO, künstliche Intelligenz
by Erwin LammenettWie gelingt profitables Online-Marketing? Erwin Lammenett, seit über 25 Jahren Experte für digitales Marketing, erläutert praxisnah und theoretisch fundiert die gesamte Palette der Online-Marketing-Instrumente. Sie erfahren, wie Sie diese Instrumente erfolgreich nutzen, welche Sie sinnvoll miteinander kombinieren können und wie Sie ein effizientes Controlling aufbauen. Angesprochen werden Führungskräfte und Mitarbeiter aus Marketing und PR, Produktmanager, Unternehmensberater, aber auch Dozierende und Studierende mit dem Schwerpunkt Marketing. Alle Kapitel enthalten dynamische Servicelinks, über die Inhalte jederzeit und kurzfristig angepasst werden können. In der 9. Auflage wurden alle Kapitel überarbeitet und aktualisiert. Viele wurden um neue Entwicklungen ergänzt, insbesondere wurde auf neue Entwicklungen eingegangen, die auf künstlicher Intelligenz basieren.
Recent Trends in Intelligence Enabled Research: Selected Papers of Fifth Doctoral Symposium, DoSIER 2023 (Advances in Intelligent Systems and Computing #1457)
by Siddhartha Bhattacharyya Gautam Das Sourav De Leo MrsicThis book gathers extended versions of papers presented at DoSIER 2023 (Fifth Doctoral Symposium on Intelligence Enabled Research, held at Cooch Behar Government Engineering College, West Bengal, India, during December 20–21, 2023). The papers address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters written by experts active in these areas, the book offers a valuable reference guide for researchers and industrial practitioners alike and inspires future studies.
Automotive Human-Machine Interaction (Research on Automotive Intelligent Cockpit)
by Jun Ma Zaiyan GongThis book focuses on the evaluation methodology for automotive human-machine interaction (HMI), which aim to reduce driving distractions, lower operational loads, optimize user experience design, and enhance user value.The book is divided into three parts. The first part, consisting of Chapters 1–3, introduces the evolution of automotive HMI and proposes a three-dimensional orthogonal evaluation system for automotive HMI that is comprehensive, systematic, and quantifiable. This evaluation system incorporates all evaluation items into a spatial matrix consisting of three dimensions: interaction tasks, interaction modalities, and evaluation indexes. The second part provides a comprehensive presentation and in-depth discussion of the evaluation indexes. The three rational evaluation indexes are utility, safety, and efficiency, which can be tested by the real-car driving simulator. The four emotional evaluation indexes are cognition, intelligence, value, and aesthetics. In orderto standardize the latter two subjective indexes, this book summarizes common differences in value between Chinese and European users and organizes typical aesthetic orientations in automotive UI based on art history research. The third part introduces the application of this HMI evaluation system in the automotive R&D process, including how to integrate the evaluation into a real product development process to achieve efficient product iteration.This book is suitable for intelligent cockpit and HMI designers, engineers, and researchers. It is also used as a reference for product managers and students in the field of intelligent connected vehicles.
Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks
by Aswini Kumar Samantaray Amol D. RahulkarMedical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned multimodality images. These image collections offer opportunity for evidence-based diagnosis, teaching, and research. Advances in medical image analysis over last two decades shows there are now many algorithms and ideas available that allow to address medical image analysis tasks in commercial solutions with sufficient performance in terms of accuracy, reliability and speed. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria. This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval.Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are obtained based on double-shifting orthogonality property with allowable deviation from original filter coefficients. Next, a low complex symmetric Daub-4 orthogonal wavelet filter-bank is presented. This is achieved by slightly altering the perfect reconstruction condition to make designed filter-bank symmetric and to obtain dyadic filter coefficients. In third contribution, the first dyadic Gabor wavelet filter-bank is presented based on slight alteration in orientation parameter without disturbing remaining Gabor wavelet parameters. In addition, a novel feature descriptor based on the design of adaptive Gabor wavelet filter-bank is presented. The use of Maximum likelihood estimation is suggested to measure the similarity between the feature vectors of heterogeneous medical images. The performance of the suggested methods is evaluated on three different publicly available databases namely NEMA, OASIS and EXACT09. The performance in terms of average retrieval precision, average retrieval recall and computational time are compared with well-known existing methods.
Artificial Intelligence in Greek and Roman Epic
by Andriana Domouzi and Silvio BärThis is the first scholarly exploration of concepts and representations of Artificial Intelligence in ancient Greek and Roman epic, including their reception in later literature and culture. Contributors look at how Hesiod, Homer, Apollonius of Rhodes, Moschus, Ovid and Valerius Flaccus crafted the first literary concepts concerned with automata and the quest for artificial life, as well as technological intervention improving human life.Parts one and two consider, respectively, archaic Greek, and Hellenistic and Roman, epics. Contributors explore the representations of Pandora in Hesiod, and Homeric automata such as Hephaestus' wheeled tripods, the Phaeacian king Alcinous' golden and silver guard dogs, and even the Trojan Horse. Later examples cover Artificial Intelligence and automation (including Talos) in the Argonautica of Apollonius and Valerius Flaccus, and Pygmalion's ivory woman in Ovid's Metamorphoses. Part three underlines how these concepts benefit from analysis of the ekphrasis device, within which they often feature. These chapters investigate the cyborg potential of the epic hero and the literary implications of ancient technology. Moving into contemporary examples, the final chapters consider the reception of ancient literary Artificial Intelligence in contemporary film and literature, such as the Czech science-fiction epic Starvoyage, or Small Cosmic Odyssey by Jan Kr?esadlo (1995) and the British science-fiction novel The Holy Machine by Chris Beckett (2004).
Artificial Intelligence in Greek and Roman Epic
This is the first scholarly exploration of concepts and representations of Artificial Intelligence in ancient Greek and Roman epic, including their reception in later literature and culture. Contributors look at how Hesiod, Homer, Apollonius of Rhodes, Moschus, Ovid and Valerius Flaccus crafted the first literary concepts concerned with automata and the quest for artificial life, as well as technological intervention improving human life.Parts one and two consider, respectively, archaic Greek, and Hellenistic and Roman, epics. Contributors explore the representations of Pandora in Hesiod, and Homeric automata such as Hephaestus' wheeled tripods, the Phaeacian king Alcinous' golden and silver guard dogs, and even the Trojan Horse. Later examples cover Artificial Intelligence and automation (including Talos) in the Argonautica of Apollonius and Valerius Flaccus, and Pygmalion's ivory woman in Ovid's Metamorphoses. Part three underlines how these concepts benefit from analysis of the ekphrasis device, within which they often feature. These chapters investigate the cyborg potential of the epic hero and the literary implications of ancient technology. Moving into contemporary examples, the final chapters consider the reception of ancient literary Artificial Intelligence in contemporary film and literature, such as the Czech science-fiction epic Starvoyage, or Small Cosmic Odyssey by Jan Kr?esadlo (1995) and the British science-fiction novel The Holy Machine by Chris Beckett (2004).
Image Processing Recipes in MATLAB® (Chapman & Hall/CRC Computer Science and Engineering Recipes Series)
by Oge Marques Gustavo Benvenutti BorbaLeveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.Key Features: A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB. Each recipe is presented through clear, step-by-step instructions and rich visual examples. Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference. Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges. The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.
Image Processing Recipes in MATLAB® (Chapman & Hall/CRC Computer Science and Engineering Recipes Series)
by Oge Marques Gustavo Benvenutti BorbaLeveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover.Key Features: A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB. Each recipe is presented through clear, step-by-step instructions and rich visual examples. Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference. Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges. The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.
Information Technology Security and Risk Management: Inductive Cases for Information Security
by Stephen C. Wingreen Amelia SamandariInformation Technology Security and Risk Management: Inductive Cases for Information Security is a compilation of cases that examine recent developments and issues that are relevant to IT security managers, risk assessment and management, and the broader topic of IT security in the 21st century. As the title indicates, the cases are written and analyzed inductively, which is to say that the authors allowed the cases to speak for themselves, and lead where they would, rather than approach the cases with presuppositions or assumptions regarding what the case should be "about". In other words, the authors were given broad discretion to interpret a case in the most interesting and relevant manner possible; any given case may be "about" many things, depending on the perspective adopted by the reader, and many different lessons may be learned. The inductive approach of these cases reflects the design philosophy of the advanced IT Security and Risk Management course we teach on the topic here at the University of Canterbury, where all discussions begin with the analysis of a specific case of interest and follow the most interesting and salient aspects of the case in evidence. In our course, the presentation, analysis, and discussion of a case are followed by a brief lecture to address the conceptual, theoretical, and scholarly dimensions arising from the case. The inductive approach to teaching and learning also comes with a huge advantage – the students seem to love it, and often express their appreciation for a fresh and engaging approach to learning the sometimes-highly-technical content of an IT security course. As instructors, we are also grateful for the break in the typical scripted "chalk-and-talk" of a university lecture afforded by the spontaneity of the inductive approach.We were motivated to prepare this text because there seems to be no other book of cases dedicated to the topic of IT security and risk management, and because of our own success and satisfaction with inductive teaching and learning. We believe this book would be useful either for an inductive, case-based course like our own or as a body of cases to be discussed in a more traditional course with a deductive approach. There are abstracts and keywords for each case, which would help instructors select cases for discussions on specific topics, and PowerPoint slides are available as a guide for discussion about a given case.
Information Technology Security and Risk Management: Inductive Cases for Information Security
by Stephen C. Wingreen Amelia SamandariInformation Technology Security and Risk Management: Inductive Cases for Information Security is a compilation of cases that examine recent developments and issues that are relevant to IT security managers, risk assessment and management, and the broader topic of IT security in the 21st century. As the title indicates, the cases are written and analyzed inductively, which is to say that the authors allowed the cases to speak for themselves, and lead where they would, rather than approach the cases with presuppositions or assumptions regarding what the case should be "about". In other words, the authors were given broad discretion to interpret a case in the most interesting and relevant manner possible; any given case may be "about" many things, depending on the perspective adopted by the reader, and many different lessons may be learned. The inductive approach of these cases reflects the design philosophy of the advanced IT Security and Risk Management course we teach on the topic here at the University of Canterbury, where all discussions begin with the analysis of a specific case of interest and follow the most interesting and salient aspects of the case in evidence. In our course, the presentation, analysis, and discussion of a case are followed by a brief lecture to address the conceptual, theoretical, and scholarly dimensions arising from the case. The inductive approach to teaching and learning also comes with a huge advantage – the students seem to love it, and often express their appreciation for a fresh and engaging approach to learning the sometimes-highly-technical content of an IT security course. As instructors, we are also grateful for the break in the typical scripted "chalk-and-talk" of a university lecture afforded by the spontaneity of the inductive approach.We were motivated to prepare this text because there seems to be no other book of cases dedicated to the topic of IT security and risk management, and because of our own success and satisfaction with inductive teaching and learning. We believe this book would be useful either for an inductive, case-based course like our own or as a body of cases to be discussed in a more traditional course with a deductive approach. There are abstracts and keywords for each case, which would help instructors select cases for discussions on specific topics, and PowerPoint slides are available as a guide for discussion about a given case.
Doing Doctoral Research at a Distance: Flourishing In Off-Campus, Hybrid, and Remote Pathways (Insider Guides to Success in Academia)
by Katrina McChesney James Burford Liezel Frick Tseen KhooEmerging from personal experience and empirical research, Doing Doctoral Research at a Distance is a key companion text for doctoral students from a range of research fields and geographical contexts who are undertaking off-campus, hybrid, and remote pathways. Offering guidance about the entire off-campus doctoral journey, the book introduces contexts of distance study; key information to get off to a flying start; organising time, space and plans to get work done; juggling employment, family and other commitments alongside distance study; doctoral identity and wellbeing; working with doctoral supervisors at a distance; accessing research culture at a distance; and managing the bumps along the road of the distance doctorate. Written for doctoral researchers, this book offers strategies to help those working at a distance to flourish. This book is ideally suited for those contemplating distance study, distance doctoral students who are starting their off-campus journey, and supervisors and others who are working with distance doctoral researchers.‘Insider Guides to Success in Academia’ offers support and practical advice to doctoral students and early-career researchers. Covering the topics that really matter, but which often get overlooked, this indispensable series provides practical and realistic guidance to address many of the needs and challenges of trying to operate, and remain, in academia. These neat pocket guides fill specific and significant gaps in current literature. Each book offers insider perspectives on the often implicit rules of the game – the things you need to know but usually aren’t told by institutional postgraduate support, researcher development units, or supervisors – and will address a practical topic that is key to career progression. They are essential reading for doctoral students, earlycareer researchers, supervisors, mentors, or anyone looking to launch or maintain their career in academia.
Doing Doctoral Research at a Distance: Flourishing In Off-Campus, Hybrid, and Remote Pathways (Insider Guides to Success in Academia)
by Katrina McChesney James Burford Liezel Frick Tseen KhooEmerging from personal experience and empirical research, Doing Doctoral Research at a Distance is a key companion text for doctoral students from a range of research fields and geographical contexts who are undertaking off-campus, hybrid, and remote pathways. Offering guidance about the entire off-campus doctoral journey, the book introduces contexts of distance study; key information to get off to a flying start; organising time, space and plans to get work done; juggling employment, family and other commitments alongside distance study; doctoral identity and wellbeing; working with doctoral supervisors at a distance; accessing research culture at a distance; and managing the bumps along the road of the distance doctorate. Written for doctoral researchers, this book offers strategies to help those working at a distance to flourish. This book is ideally suited for those contemplating distance study, distance doctoral students who are starting their off-campus journey, and supervisors and others who are working with distance doctoral researchers.‘Insider Guides to Success in Academia’ offers support and practical advice to doctoral students and early-career researchers. Covering the topics that really matter, but which often get overlooked, this indispensable series provides practical and realistic guidance to address many of the needs and challenges of trying to operate, and remain, in academia. These neat pocket guides fill specific and significant gaps in current literature. Each book offers insider perspectives on the often implicit rules of the game – the things you need to know but usually aren’t told by institutional postgraduate support, researcher development units, or supervisors – and will address a practical topic that is key to career progression. They are essential reading for doctoral students, earlycareer researchers, supervisors, mentors, or anyone looking to launch or maintain their career in academia.
AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence
by Eoghan LeahySurvive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques The purpose of this book is to provide a concise yet comprehensive background of some effective methods for analyzing markets and creating fully automated AI-optimized trading systems. The book outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analyzing asset prices and then apply them to Bitcoin prices, showing how to generate actionable insights from data that can be used to create fully automated trading signals and systems. Big data analytics can be enhanced with artificial intelligence techniques. Back testing and optimization methods are presented with a special emphasis placed on the use of distributed genetic algorithms for parameter optimization. Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBot™ combines human insight with AI-driven optimization to build profit table trend trading strategies.
AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence
by Eoghan LeahySurvive and thrive amongst the professional traders using sophisticated cryptocurrency analysis and trading techniques The purpose of this book is to provide a concise yet comprehensive background of some effective methods for analyzing markets and creating fully automated AI-optimized trading systems. The book outlines some easy-to-replicate yet highly effective quant trading techniques that can be used for analyzing asset prices and then apply them to Bitcoin prices, showing how to generate actionable insights from data that can be used to create fully automated trading signals and systems. Big data analytics can be enhanced with artificial intelligence techniques. Back testing and optimization methods are presented with a special emphasis placed on the use of distributed genetic algorithms for parameter optimization. Finally, a case study of a fully automated trend-following trading strategy that leverages artificial intelligence is presented. Bitcoin AlphaBot™ combines human insight with AI-driven optimization to build profit table trend trading strategies.
CompTIA Network+ Practice Tests: Exam N10-009 (Certmike Get Certified Ser.)
by Craig ZackerAssess and improve your networking skillset with proven Sybex practice tests In the freshly revised Third Edition of CompTIA Network+ Practice Tests Exam N10-009, IT expert and author Craig Zacker delivers a set of accessible and useful practice tests for the updated Network+ Exam N10-009. You'll prepare for the exam, learn the information you need in an industry interview, and get ready to excel in your first networking role. These practice tests gauge your skills in deploying wired and wireless devices; understanding network documentation and the purpose of network services; work with datacenter, cloud, and virtual networking concepts; monitor network activity; and more. This book also offers: Comprehensive coverage of all five domain areas of the updated Network+ exam, including network concepts, implementation, operations, security, and troubleshooting Practical and efficient preparation for the Network+ exam with hundreds of domain-by-domain questions Access to the Sybex interactive learning environment and online test bank Perfect for anyone preparing for the CompTIA Network+ Exam N10-009, the CompTIA Network+ Practice Tests Exam N10-009 is also an indispensable resource for network administrators seeking to enhance their skillset with new, foundational skills in a certification endorsed by industry leaders around the world. And save 10% when you purchase your CompTIA exam voucher with our exclusive WILEY10 coupon code.
Practical Web Accessibility: A Comprehensive Guide to Digital Inclusion
by Ashley FirthEveryone deserves to use the Internet. An estimated 1.3 billion people experience significant disability. That’s 16percent of the world’s population, or one in six of us. At the same time, over 96 percent of the one million most popular websites have an accessibility issue. Add to this the massive rise in legal cases around sites not being accessible, including Beyoncé, Disney, and Netflix, and you have an important topic that more and more people are starting to engage with.In this updated and revamped second edition of the Amazon technology chart-topping Practical Web Accessibility, you’ll be guided through a broad range of disabilities and access needs. You’ll understand the ways these users typically engage with the web, the barriers they often face, and practical advice on how your websites and content can be compliant, but more than that, inclusive and enjoyable to use. There’s also a new chapter on “Outsourcing Accessibility,” exploring third party “bolt-on” tools, “build your own website” platforms like Wix, and popular design systems. You‘ll explore whether they’re helpful or detrimental in the fight to make the web more accessible.Throughout this book you’ll learn to test for, spot, and fix web accessibility issues for a wide range of physical and mental impairments. Featuring content from the latest compliance frameworks, including the newly released WCAG 2.2 and exploratory concepts in WCAG 3, you’ll see how to go beyond the basic requirements in order to help your users. You’ll also learn that an accessible approach won’t just help people with disabilities, it will improve your website for everyone.This book comes complete with practical examples you can use in your own sites, along with a brand-new approach to auditing and improving a website’s accessibility, and a team’s approach to it, based on tools created by the author and refined over years as a consultant — The FAIR framework and ACCESS checklist. With these tools, you can set up processes for yourself and your team that will drastically improve the accessibility of your sites and, importantly, keep them that way in the future. Suitable for those of any profession or experience level, Practical Web Accessibility gives you all the information you need to ensure that your sites are truly accessible for the modern, inclusive web. If you would like to learn about web accessibility in a clear and actionable way, this book is for you.What You Will LearnA greater understanding of a vast range of disabilities that have online access needs, and the issues they typically face accessing content online.Ways to apply the practical steps required to cater for those needs.How to take your sites, and colleagues, on a journey from being inaccessible to accessible.The importance of accessibility in your designs, code, content, and more.The best ways to test andimprove your sites, so you can be compliant, and truly accessible. Who This Book Is For Anyone, regardless of what they do, who wants to learn how to make websites and their content more accessible for those with disabilities. In the world of web, the book has been used by front and backend developers, designers, product and project managers, team and business leaders.
Proceedings of the 20th International Conference on Computing and Information Technology (Lecture Notes in Networks and Systems #973)
by Phayung Meesad Sunantha Sodsee Watchareewan Jitsakul Sakchai TangwannawitThis book gathers the high-quality papers presented at the 20th International Conference on Computing and Information Technology (IC2IT2024), held on May 16-17, 2024, in Bangkok, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology.
Computer and Information Science and Engineering: Volume 16 (Studies in Computational Intelligence #1156)
by Roger LeeThis book reports state-of-the-art results in Computer Information Science and Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive computational intelligence research forum available in the world.