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ADO.NET Cookbook
by Bill HamiltonDesigned in the highly regarded O'Reilly Cookbook format, ADO.NET Cookbook is strikingly different from other books on the subject. It isn't bogged down with pages of didactic theory. The ADO.NET Cookbook focuses exclusively on providing developers with easy-to-find coding solutions to real problems. ADO.NET Cookbook is a comprehensive collection of over 150 solutions and best practices for everyday dilemmas. For each problem addressed in the book, there's a solution--a short, focused piece of code that programmers can insert directly into their applications. And ADO.NET Cookbook is more than just a handy compilation of cut-and-paste C# and VB.NET code. ADO.NET Cookbook offers clear explanations of how and why the code works, warns of potential pitfalls, and directs you to sources of additional information, so you can learn to adapt the problem-solving techniques to different situations. This is a painless way for developers who prefer to learn by doing to expand their skills and productivity, while solving the pressing problems they face every day. These time-saving recipes include vital topics like connecting to data, retrieving and managing data, transforming and analyzing data, modifying data, binding data to .NET user interfaces, optimizing .NET data access, enumerating and maintaining database objects, and maintaining database integrity. The diverse solutions presented here will prove invaluable over and over again, for ADO.NET programmers at all levels, from the relatively inexperienced to the most sophisticated.
ADO.NET in a Nutshell (In a Nutshell (O'Reilly))
by Bill Hamilton Matthew MacDonaldWritten by experts on the Microsoft® .NET programming platform, ADO.NET in a Nutshell delivers everything .NET programmers will need to get a jump-start on ADO.NET technology or to sharpen their skills even further. In the tradition of O'Reilly's In a Nutshell Series, ADO.NET in a Nutshell is the most complete and concise source of ADO.NET information available.ADO.NET is the suite of data access technologies in the .NET Framework that developers use to build applications services accessing relational data and XML. Connecting to databases is a fundamental part of most applications, whether they are web, Windows®, distributed, client/server, XML Web Services, or something entirely different. But ADO.NET is substantially different from Microsoft's previous data access technologies--including the previous version of ADO--so even experienced developers need to understand the basics of the new disconnected model before they start programming with it.Current with the .NET Framework 1.1, ADO.NET in a Nutshell offers one place to look when you need help with anything related to this essential technology, including a reference to the ADO.NET namespaces and object model. In addition to being a valuable reference, this book provides a concise foundation for programming with ADO.NET and covers a variety of issues that programmers face when developing web applications or Web Services that rely on database access. Using C#, this book presents real world, practical examples that will help you put ADO.NET to work immediately.Topics covered in the book include:An Introduction to ADO.NETConnections, Commands and DataReadersDisconnected DataAdvanced DataSetsTransactionsDataViews and Data BindingXML and the DataSetIncluded with the book is a Visual Studio .NET add-in that integrates the entire reference directly into your help files. When combining ADO.NET in a Nutshell with other books from O'Reilly's .NET In a Nutshell series, you'll have a comprehensive, detailed and independent reference collection that will help you become more productive.
ADO: Creating Data-Driven Solutions
by Jason T RoffGetting data across platforms and formats is a cornerstone of present-day applications development. ADO: ActiveX Data Objects is both an introduction and a complete reference to ADO (ActiveX Data Objects), Microsoft's universal data access solution. You'll learn how to easily access data in multiple formats--such as email messages, Access databases, Word documents, and SQL databases--even on different platforms, without spending extra time learning every last detail about each format.Author Jason Roff shows by example how to use ADO with your programming language of choice to save programming time, so you can concentrate on the content and quality of your application rather than the nitty-gritty of specific data formats.ADO: ActiveX Data Objects includes:Chapters dedicated to the Connection, Recordset, Field, and Command objects and the Properties collectionA complete, detailed reference listing every ADO object, method, property, and event, in convenient alphabetical orderChapters on ADO architecture, data shaping, the ADO Event ModelAn appendix containing enumeration tables used by ADO objects and collections, listed alphabeticallyBrief introductions to RDS, ADO.NET, and SQLADO: ActiveX Data Objects is a versatile one-stop guide to both the theory and practice of programming with ADO through Version 2.6. The thorough reference section and topic-specific chapters will help you find quick answers about the details of objects, collections, methods, and properties of ADO. And the abundance of practical code examples will give you a good grasp of how to use ADO's strong points most effectively.
ADOBE Design Collection Creative Cloud Revealed
by Elizabeth Eisner Reding Chris BotelloTHE DESIGN COLLECTION REVEALED CREATIVE CLOUD provides comprehensive step-by-step instruction and in-depth explanation for three of today's most widely used design and layout programs: Adobe InDesign Creative Cloud, Adobe Photoshop Creative Cloud, and Adobe Illustrator Creative Cloud. Your students will gain practical experience with the software as they work through end-of-chapter learning projects and step-by-step tutorials. An integration chapter demonstrates how to move from one application to the other. Full-color illustrations and a user-friendly design combine to create a robust learning experience that reveals how to master the latest features of Adobe's popular design suite.
ADempiere 3.4 ERP Solutions
by Bayu Cahya PamungkasThis book is an easy-to-follow tutorial that will show you how to install and implement ADempiere. You will be shown how to set-up and use the features of ADempiere through plenty of step-by-step instructions with lots of examples and screenshots, and you will have a feature-rich, working version of ADempiere by the end of the book. If you want to easily implement ADempiere in your organization, this book is for you. This book will also be beneficial to system users and administrators who wish to implement an ERP system. No previous knowledge of ADempiere is required. A basic knowledge of accounting and the standard business workflow would be beneficial.
ADempiere 3.6 Cookbook
by Ajit KumarWritten in a cookbook style, this book offers solutions using a recipe-based approach. Each recipe contains step-by-step instructions followed by an analysis of what was done in each task and other useful information. The cookbook approach means you can dive into whatever recipes you want in no particular order.If you want to easily implement ADempiere in your organization, this book is for you. This book will also be beneficial to system users and administrators who wish to implement an ERP system. Only basic knowledge of ADempiere is required. This cookbook will build on that basic knowledge equipping you with the intermediate and advanced skills required to fully maximize ADempiere. A basic knowledge of accounting and the standard business workflow would be beneficial.
AETA 2022—Recent Advances in Electrical Engineering and Related Sciences: Theory And Application (Lecture Notes in Electrical Engineering #1081)
by Ivan Zelinka Vo Hoang Duy Tran Trong Dao Chau Si Thien Dong Phuong T. TranThis proceedings book features selected papers on 12 themes, including wireless communications, power systems, signal processing, robotics, control systems, sustainable energy, power electronics, intelligent networks and more. Covering topics such as performance of reconfigurable intelligent surfaces for 6G communication networks, improved neural network algorithms for optimizing the power flow of renewable energy sources, anomaly detection using stationary and non-stationary signal analysis in data sciences, novel object identification and distance estimation algorithms for self-driving vehicles, the book presents interesting ideas and state-of-the-art overviews.
AETA 2023—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application (Lecture Notes in Electrical Engineering #1405)
by Ivan Zelinka Vo Hoang Duy Tran Trong Dao Chau Si Thien Dong Phuong T. Tran Jei-Pil WangThis book features selected papers from the 8th International Conference in Advanced Engineering—Theory Applications (AETA 2023), during 14–16 December, in Busan, Korea. The topics of the papers cover three main topics: energy (energy saving power electronics, electrical machines and drive systems, green-energy IT, nontrivial dynamics of electronic devices); control engineering (robotics, automatic control, biosensor IT); communication and security (broadcasting IT, communications, cyber security). Its content caters to researchers, scientist, and engineers who are interested in scientific achievements and advanced technologies of electrical, electronic-telecommunication, computer science, and mechanical-mechatronics engineering.
AGC 2023: First Analytics Global Conference, AGC 2023, Kolkata, India, April 28–29, 2023, Proceedings (Communications in Computer and Information Science #2008)
by Chandan Mazumdar Suparna Dhar Sanjay Goswami U. Dinesh Kumar Indranil Bose Rameshwar DubeyThis book constitutes the refereed proceedings of the 1st Analytics Global Conference, AGC 2023, held in Kolkata, India, in April 2023. The AGC conference sought to facilitate industry-academia interfacing in the domain of machine learning and artificial intelligence.The 11 full papers presented in these proceedings were carefully reviewed and selected from 36 submissions. The papers are organized in the two topical sections: Applications of Analytics in Business and Machine Learning & Deep Learning and Text Analytics.
AGI is Waking Up!: From the Thought Lab of Science Fiction
by Li ZhangThis book is an engaging and comprehensive exploration that delves into the possibility of artificial intelligence developing self-awareness, the conditions under which it may occur, and the potential behaviours it may exhibit once self-aware. It adopts a &‘high-dimensional philosophy&’, coined by the author, as its theoretical framework and weaves together elements from science fiction films, scholarly works, and thought experiments. Introducing the captivating concept of "Sparkling Moments," the book provides a compelling analysis of the reasons, prerequisites, and manifestations of these pivotal moments. It further scrutinizes the evolutionary history of Earth's life forms through the lens of these transformative instances and analyzes the similarities and differences between carbon-based and silicon-based life. This book suggests that it is possible for artificial intelligence to develop self-consciousness, which will emerge during a significant sparkling moment. Spanning across disciplines such as astronomy, physics, chemistry, biology, neuroscience, psychology, sociology, this book employs a unified and accessible high-dimensional philosophical discourse to bridge the realms of natural sciences and social humanities. Its captivating presentation, enriched with visual aids and lucid explanations, enables readers to grasp the overarching panorama of cosmic evolution, biological adaptation, and the trajectory of artificial intelligence development. Furthermore, the book offers insightful predictions for the future and endeavours to discover novel approaches to foster harmonious interactions between humans and machines. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
AI & Data Literacy: Empowering Citizens of Data Science
by Bill SchmarzoLearn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world. Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesPrepare for a future dominated by AI and big dataEnhance your AI and data literacy with real-world examplesLearn how to leverage AI and data to address current and future challengesBook DescriptionAI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.What you will learnGet to know the fundamentals of data literacy, privacy, and analyticsFind out what makes AI tick and the role of the AI utility functionMake informed decisions using prominent decision-making frameworksUnderstand relevant statistics and probability conceptsCreate new sources of value by leveraging and applying AI and dataApply ethical parameters to AI development with real-world examplesFind out how to get the most out of ChatGPT and its peersWho this book is forThis book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy.
AI & I: An Intellectual History of Artificial Intelligence
by Eugene CharniakA concise and illuminating history of the field of artificial intelligence from one of its earliest and most respected pioneers.AI & I is an intellectual history of the field of artificial intelligence from the perspective of one of its first practitioners, Eugene Charniak. Charniak entered the field in 1967, roughly 12 years after AI&’s founding, and was involved in many of AI&’s formative milestones. In this book, he traces the trajectory of breakthroughs and disappointments of the discipline up to the current day, clearly and engagingly demystifying this oft revered and misunderstood technology. His argument is controversial but well supported: that classical AI has been almost uniformly unsuccessful and that the modern deep learning approach should be viewed as the foundation for all the exciting developments that are to come.Written for the scientifically educated layperson, this book chronicles the history of the field of AI, starting with its origin in 1956, as a topic for a small academic workshop held at Dartmouth University. From there, the author covers reasoning and knowledge representation, reasoning under uncertainty, chess, computer vision, speech recognition, language acquisition, deep learning, and learning writ large. Ultimately, Charniak takes issue with the controversy of AI—the fear that its invention means the end of jobs, creativity, and potentially even humans as a species—and explains why such concerns are unfounded. Instead, he believes that we should embrace the technology and all its potential to benefit society.
AI + The New Human Frontier: Reimagining the Future of Time, Trust + Truth
by Erica OrangeA critical discussion of AI as a transformative opportunity for humanity AI + The New Human Frontier: Reimagining the Future of Time, Trust + Truth by Erica Orange, a renowned futurist, offers a compelling exploration of generative AI's potential to enhance human creativity rather than replace it. This pivotal book navigates how AI tools will help shape the human experience, and aid in augmenting human ingenuity and imagination. The author eloquently argues that the essence of human intelligence—our curiosity, critical thinking, empathy, and more—is not only irreplaceable but will become increasingly valuable as AI evolves to take on routine tasks. AI + the New Human Frontier is a clarion call for embedding trust, human oversight and judgement into AI development, ensuring that the technology amplifies our most human capabilities. At a time when the lines between what is real, fake, true and false are becoming more blurred, reliance on human-centric solutions, not just technological ones, will become more critical. Why AI + The New Human Frontier is a must-read: Navigate the Future with Confidence: Prepare yourself for the future with groundbreaking perspectives on the relationship between humans and AI. Find out how to futureproof against the challenges of tomorrow and seize the opportunities presented by technological advancements. Understand how to capitalize on the Potential of AI: Learn how the next generation of AI tools can expand human creativity and intelligence, not diminish it. Discover the crucial role of human oversight in creating AI technologies that enhance our capabilities and work alongside us. Amplify Your Ability to leverage the human advantage: Understand why and how AI's advancement will make human intuition, empathy, and critical thinking more essential than ever. Get insights into how to leverage your most human-centric skills in an AI-driven world. Perfect for business leaders, managers, executives, and professionals navigating the new landscape of technology, AI + The New Human Frontier provides not only a vision of the future but also practical advice on thriving in an AI-enhanced world. Add this book to your library to ensure you're ready for the transformative changes that lie ahead.
AI 2015: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings (Lecture Notes in Computer Science #9457)
by Bernhard Pfahringer Jochen RenzThis book constitutes the refereed proceedings of the 28th Australasian Joint Conference on Artificial Intelligence, AI 2015, held in Canberra, Australia, in November/December 2015. The 39 full papers and 18 short papers presented were carefully reviewed and selected from 102 submissions.
AI 2016: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings (Lecture Notes in Computer Science #9992)
by Quan Bai Byeong Ho KangThis book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016. The 40 full papers and 18 short papers presented together with 8 invited short papers were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on agents and multiagent systems; AI applications and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data mining; social intelligence; and text mining and NLP. The proceedings also contains 2 contributions of the AI 2016 doctoral consortium and 6 contributions of the SMA 2016.
AI 2017: 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19–20, 2017, Proceedings (Lecture Notes in Computer Science #10400)
by Xiaodong Li Wei Peng Damminda AlahakoonThis book constitutes the refereed proceedings of the 30th Australasian Joint Conference on Artificial Intelligence, AI 2017, held in Melbourne, VIC, Australia, in August 2017. The 29 full papers were carefully reviewed and selected from 58 submissions. This volume covers a wide spectrum of research streams in artificial intelligence ranging from machine learning, optimization to big data science and their practical applications.
AI 2018: 31st Australasian Joint Conference, Wellington, New Zealand, December 11-14, 2018, Proceedings (Lecture Notes in Computer Science #11320)
by Xiaodong Li Tanja Mitrovic Bing XueThis book constitutes the proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, AI 2018, held in Wellington, New Zealand, in December 2018. The 50 full and 26 short papers presented in this volume were carefully reviewed and selected from 125 submissions. The paper were organized in topical sections named: agents, games and robotics; AI applications and innovations; computer vision; constraints and search; evolutionary computation; knowledge representation and reasoning; machine learning and data mining; planning and scheduling; and text mining and NLP.
AI 2019: 32nd Australasian Joint Conference, Adelaide, SA, Australia, December 2–5, 2019, Proceedings (Lecture Notes in Computer Science #11919)
by James Bailey Jixue LiuThis book constitutes the proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019, held in Adelaide, SA, Australia, in December 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 115 submissions. The paper were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and applications; natural language processing and text analytics; optimization and evolutionary computing; and image processing.
AI 2020: 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings (Lecture Notes in Computer Science #12576)
by Marcus Gallagher Nour Moustafa Erandi LakshikaThis book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.*The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning. *The conference was held virtually due to the COVID-19 pandemic.
AI 2021: 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings (Lecture Notes in Computer Science #13151)
by Xinghuo Yu Sen Wang Guodong LongThis book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.* The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications, Classical AI, Computer Vision and Machine Learning, Natural Language Processing and Data Mining, and Network Analysis. *The conference was postponed from December 2021 to February 2022 and held virtually due to the COVID-19 pandemic.
AI 2022: 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5–8, 2022, Proceedings (Lecture Notes in Computer Science #13728)
by Tim French Haris Aziz Débora CorrêaThis book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 5–8, 2022. The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NLP; Machine Learning; Medical AI; Optimization; and Reinforcement Learning.
AI 2023: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28–December 1, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14471)
by Dadong Wang Geoff Webb Lin Yue Tongliang LiuThis two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm.
AI 2023: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28–December 1, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14472)
by Dadong Wang Geoff Webb Lin Yue Tongliang LiuThis two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm..
AI 2024: 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part I (Lecture Notes in Computer Science #15442)
by Wei Xiang Yun Sing Koh Mingming Gong Yiliao Song Derui WangThis two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024. The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining. Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.
AI 2024: 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25–29, 2024, Proceedings, Part II (Lecture Notes in Computer Science #15443)
by Wei Xiang Yun Sing Koh Mingming Gong Yiliao Song Derui WangThis two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024. The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining. Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.