Informatik

Il lettore viene guidato nelle diverse fasi della progettazione e realizzazione di un database relazionale.Nelle numerose esemplificazioni pratiche viene utilizzato MySQL come software di gestione database.Viene poi trattato il linguaggio SQL per interrogare ed aggiornare il database.Infine vengono presentate le tecniche e gli strumenti per realizzare una applicazione gestionale con il linguaggio C#.Vengono trattati sia l'approccio tradizionale con ADO.NET e anche un approccio moderno con Entity Framework che è un software ORM (Object Relational Mapping).Il lettore è invitato a svolgere degli esercizi per verificare la comprensione dei concetti e poi confrontare la soluzione proposta con la propria.L'autore è stato tutor di Basi di Dati per 5 anni nei corsi di Ingegneria Informatica dell'Università di Padova e da 20 anni insegna Informatica all'ITT "Barsanti" di Castelfranco Veneto.Il suo curriculum dettagliato è visibile nel sito http://robertobandiera.altervista.org/

The fusion of the Internet of Things (IoT) with the prowess of Machine Learning and Deep Learning has ignited a revolution in the realm of technology. "IoT Application of Machine Learning and Deep Learning" is a comprehensive journey into this transformative synergy, designed to illuminate the convergence of these cutting-edge domains. This book aims to be a guiding light for enthusiasts, practitioners, and scholars navigating the dynamic landscape where IoT's interconnected devices meet the intelligence of machine and deep learning algorithms.In these pages, readers will embark on an expedition through the myriad applications, breakthroughs, and evolving possibilities of leveraging machine and deep learning within the IoT ecosystem. From unraveling the intricate mechanisms behind predictive analytics in IoT to exploring the robustness of neural networks in enhancing IoT security, this book unveils the intricate tapestry of possibilities awaiting exploration. Whether you're a seasoned professional seeking deeper insights or an eager learner venturing into this interdisciplinary realm, this book endeavors to be a beacon, illuminating the boundless potential at the nexus of IoT, Machine Learning, and Deep Learning.

Welcome to the world of AI and Deep Learning! This book is a culmination of years of research, innovation, and practical insights into the fascinating realms of artificial intelligence and deep learning. In this rapidly evolving landscape, the convergence of neuroscience, mathematics, and computer science has sparked a revolution, redefining how machines perceive, learn, and interact with the world. As you embark on this educational journey, you'll delve into the foundational principles that underpin these technologies, unraveling complex concepts in a lucid and accessible manner. Whether you're an aspiring data scientist, a curious enthusiast, or a seasoned professional seeking to expand your knowledge, this book aims to equip you with a solid understanding of AI and deep learning essentials, empowering you to navigate the frontiers of innovation and contribute meaningfully to this transformative field.In this comprehensive guide, we traverse the landscape of artificial intelligence and deep learning, demystifying intricate theories and methodologies. From the fundamentals of neural networks to the practical applications in image recognition, natural language processing, and beyond, each chapter is meticulously crafted to provide a holistic view of these cutting-edge technologies. With a blend of theoretical foundations, real-world examples, and hands-on exercises, this book is designed to foster a deep comprehension of the core concepts while igniting your creativity to explore and innovate. Join us on this immersive journey, where you'll not only grasp the essence of AI and deep learning but also cultivate the skills to create intelligent systems that can revolutionize industries, redefine possibilities, and shape the future.

Unleash the full potential of Microsoft Excel's latest version and elevate your data-driven prowess with this comprehensive resourceKey Features- Create robust and automated dashboards in Excel for M365- Apply data visualization principles and employ dynamic charts and tables to create constantly updated and informative dashboards for your organization- Uncover the best practices for effective dashboard creation- Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionM365 Excel is a modern Excel version that is constantly updated with features that make creating and automating analyses, reports, and dashboards very easy compared with older Excel versions. This book will help you leverage its full capabilities, beginning with a quick overview of what dashboards are and how they are different from other types of reports. Then, you'll familiarize yourself with the different standard dashboards currently available and what they are meant to accomplish for organizations. As you progress, you'll get to grips with the use of new powerful tools such as Power Query and dynamic array formulae in the automation of analysis, gaining insights into the right approach to take in building effective dashboards. You'll equip yourself with not only all the essential formulae, charts, and non-chart visuals but also learn how to set up your dashboard perfectly. Along the way, you'll build a couple of awesome dashboards from scratch to utilize your newfound knowledge.By the end of this book, you will be able to carry out an impressive and robust level of analysis on business data that may come from multiple sources or files, using better processes, formulae, and best practices in M365 to create insightful dashboards faster.What you will learn- Understand the importance of dashboards in today's business analytics environment- Delve into the various essential formulae in Excel- Utilize Power Query to shape and transform data to extract insights easily- Explore the power of the new dynamic array functions in M365- Employ PivotTable and Power Pivot to automate your dashboards- Master the setup and optimization of your dashboard canvas- Discover best practices for visualization, charts, and effective dashboard creation- Consolidate your knowledge through a hands-on concluding projectWho this book is forThis book is for Microsoft Excel users, especially those tasked with creating dynamic reports and dashboards that require data and help support to decision-makers within an organization with visually engaging and actionable insights. Financial analysts, data analysts, business analysts, and BI professionals will also greatly benefit from this book. Some familiarity with the Microsoft Excel interface is a prerequisite.Table of Contents- Dashboards, Reports, and M365 Excel- Common Dashboards in Large Companies- The Importance of Connecting Directly to the Primary Data Sources- Power Query: the Ultimate Data Transformation Tool- PivotTable and Power Pivot- Must-Know Legacy Excel Functions- Dynamic Array Functions and Lambda Functions- Getting Comfortable with the 19 Excel Charts- Non-Chart Visuals- Setting Up the Dashboard's Data Model- Perfecting the Dashboard- Best Practices for Real-World Dashboard Building

The Infinite Monkey Theorem is an idea frequently encountered in mass market science books, discourse on Intelligent Design, and debates on the merits of writing produced by chatbots. According to the Theorem, an infinite number of typing monkeys will eventually generate the works of Shakespeare. Shakespeare and Nonhuman Intelligence is a metaphysical analysis of the Bard's function in the Theorem in various contexts over the past century. Beginning with early-twentieth century astrophysics and ending with twenty-first century AI, it traces the emergence of Shakespeare as the embattled figure of writing in the age of machine learning, bioinformatics, and other alleged crimes against the human organism. In an argument that pays close attention to computer programs that instantiate the Theorem, including one by biologist Richard Dawkins, and to references in publications on Intelligent Design, it contends that Shakespeare performs as an interface between the human and our Others: animal, god, machine.

The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Models equips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.

'Mastering Quantum Computing: Practical Applications and Programming' is a complete guide to the applications and programming of quantum computer. An introductory section covers the basics of quantum computing and quantum mechanics. Next, the book focuses on quantum programming languages and practical quantum algorithms. Topics cover the current status of quantum computers with industry examples, quantum computing in cloud services, quantum hardware basics and some future trends and challenges on the horizon. The book focuses on the applications of actual quantum computers in cryptography, simulations and artificial intelligence. This book is a great resource if you are interested in learning the basics of quantum computing, and how these application can be used in the real world.

"Artificial Intelligence for Social Good" is a comprehensive overview of AI's potential to address global issues of poverty, health, education, environment, and human rights, offering insights into ethical considerations and best practices, making it a valuable resource for anyone interested in leveraging AI for positive social impact.

Big Data analysis is one of the most contemporary areas of development and research in the present day. Tremendous amounts of data are generated every single day from digital technologies and modern information systems, such as cloud computing and Internet of Things (IoT) devices. Analysis of these enormous amounts of data has become a crucial need and requires a lot of effort in order to extract valuable knowledge for decision-making, which in turn will help both academia and industry.Big Data and Data Science have appeared due to the significant need for generating, storing, organizing, and processing immense amounts of data. Data scientists strive to use Artificial Intelligence (AI) and Machine Learning (ML) approaches and models to allow computers to detect and identify what the data represents and be able to detect patterns more quickly, efficiently, and reliably than humans.The goal behind this Special Issue is to explore and discuss various principles, tools, and models in the context of Data Science, as well as diverse and varied concepts and techniques in Big Data in Biology, Chemistry, Biomedical Engineering, Physics, Mathematics, and other areas that work with Big Data.

Exploring the celestial expanse of optimization and its transformative applications, our featured reprint comprises a compilation that delves into the heart of optimization, unraveling the convergence of theory and practice across various domains.

Take your business processes to the next level! With this transformation guide, you'll learn the ins and outs of the SAP Signavio portfolio. Explore solutions for process insights, intelligence, management, modeling, collaboration, governance, and automation. As you dive into core features, you'll follow practical examples that demonstrate how SAP Signavio enables your business process transformation. See how redesigned processes simplify your SAP S/4HANA implementation project from end to end! In this book, you'll learn about: a. Transformation Suite Unpack your transformation toolkit. Improve performance with SAP Signavio Process Insights, detect bottlenecks with SAP Signavio Process Intelligence, automate repetitive tasks with SAP Build Process Automation, and more. b. Transition to SAP S/4HANA Implement business process transformation as part of your SAP S/4HANA journey. Follow best practices and expert tips to analyze your processes and design, build, test, and deploy solutions that transform your way of working. c. Transformation in Action Follow the lead of practical application examples. Step-by-step scenarios demonstrate how SAP Signavio solutions work together to help your organization reduce costs, improve efficiency, and achieve process excellence. Highlights include: 1) IT and business transformation 2) Process insights 3) Process management 4) Process collaboration 5) Process governance 6) Journey modeling 7) RISE with SAP 8) SAP S/4HANA 9) SAP Build Process Automation 10) Application examples

From innovative solutions for securing IoT infrastructures against security attacks and privacy threats to advanced topics including responsible security intelligence, this comprehensive co-authored book offers a complete study of explainable artificial intelligence (XAI) for securing the internet of things (IoT).

This monograph reports the findings of a workshop held at Google (co-organized by Stanford University and the University of Wisconsin-Madison) on the dual-use dilemma posed by GenAI.

Getting to Know Mobile GIS empowers readers to creatively use Mobile GIS and drive innovation in this fast-advancing field."Mobile-first" and the "post-PC era" aren't just buzzwords; they represent today's reality. Within the GIS industry, the mobile internet and Mobile GIS have profoundly transformed how we acquire, visualize, analyze, and disseminate geospatial information. With its ubiquitous use and location-aware capabilities, the mobile platform is an essential part of enterprise GIS across industries, making Mobile GIS crucial to the business operations and future success of wide-ranging organizations.Getting to Know Mobile GIS helps GIS professionals and GIS students grasp the opportunities presented by Mobile GIS. It provides principles and detailed tutorials to teach today's cutting-edge Mobile GIS technologies. Using a no-code, low-code approach, it makes Mobile GIS easy and fun to learn. Readers can immediately become productive in creating enterprise GIS solutions, ranging from online and offline spatial data visualization, data collection, location sharing, and workforce coordination to integration with enterprise workflows.Dr. Pinde Fu leads the Configuration team at Esri Professional Services and teaches at universities, including Harvard University Extension School. Dr. Pinde Fu champions the configure-first approach, maximizing Esri's out-of-the-box Web and Mobile GIS technologies to swiftly build GIS solutions. Additionally, as a Senior Principal Software Developer, Dr. Fu employs full-stack programming to develop custom solutions as needed. Several of his projects have won special achievement awards. Fu is the author of Getting to Know Web GIS (Esri Press, 2022) and lead author of Web GIS: Principles and Applications (Esri Press, 2010).

Il nostro obiettivo è implementare un sistema di riconoscimento individuale basato sulle impronte digitali utilizzando metodi di deep learning. Il lavoro si è concentrato sui seguenti punti: in primo luogo, abbiamo preparato il database: le impronte digitali. Una volta effettuata l'elaborazione preliminare sulle impronte, sono stati individuati e classificati i punti caratteristici dell'impronta detti minuzie. In una fase finale, l'identificazione degli individui viene effettuata utilizzando una classificazione basata su una rete neurale: le reti neurali convoluzionali.

In Building a God, Christopher DiCarlo, a global leader in the ethics of artificial intelligence, unpacks the tangled web surrounding AI, revealing to readers what we know, what we don't, and how we might prepare ourselves for eventualities that we don't know we don't know yet.

This book presents extensive research on the quality of 360° video perceived by users with HMDs. The book aims to develop a set of standard guidelines for the systematic visual quality assessment of 360° videos. Firstly, conventional subjective test methods such as Absolute Category Rating (ACR) and Double Stimulus Impairment Scale (DSIS) are applied to evaluate video quality, alongside the Modified ACR (M-ACR) method newly proposed. Building on the reliability and general applicability of the procedure across different tests, a methodological framework for 360° video quality assessment is then presented. The author also analyzes simulator sickness to investigate the impact of different influencing factors. The insights gained on simulator sickness related to 360° video contribute to a better understanding of this particular use case of VR and can help to improve comfort among users by suggesting improvements in the technical specifications of 360° video and HMD technology and thusimproving QoE.