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This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7¿9, 2023. The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ¿Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.
Easier audits, protection again fraud, streamlined process controls-this is why you need SAP Process Control in your organization. With this comprehensive guide, see how to implement and configure the solution, from maintaining connectors to defining master data. Follow step-by-step instructions to use control evaluation procedures, report on and remediate ad hoc issues, and automate controls with continuous controls monitoring (CCM). With information on using standard reports, enabling SAP Fiori apps, and adding SAP Financial Compliance Management to your landscape, this SAP Process Control guide has everything you need! Highlights include: 1) Internal controls 2) Governance 3) Configuration 4) Master data 5) Control evaluation 6) Ad hoc issues 7) Continuous controls monitoring (CCM) 8) Policy lifecycle 9) Reporting 10) SAP Fiori 11) SAP Financial Compliance Management
Juggling multiple partners and clients? Streamline your business communications with this guide to electronic data interchange (EDI) in SAP S/4HANA! Begin with an overview of EDI processing and how it works. Next, follow step-by-step instructions for configuring and managing EDIs in your SAP S/4HANA landscape. Customize IDocs, configure SAP Application Interface Framework and SAP Integration Suite, test your EDI solution, and more. This is your one-stop shop for comprehensive B2B integration in SAP S/4HANA! Highlights include: 1) Prerequisites 2) Environment setup 3) EDI standards 4) Configuration 5) SAP Application Interface Framework 6) SAP Integration Suite 7) SAP Business Technology Platform (SAP BTP) 8) Test automation 9) IDocs 10) APIs
It's finally here-your guide to Python for engineers and scientists, by an engineer and scientist! Get to know your development environments and the key Python modules you'll need: NumPy, SymPy, SciPy, Matplotlib, and VPython. Understand basic Python program structures and walk through practical exercises that start simple and increase in complexity as you work your way through the book. With information on statistical calculations, Boolean algebra, and interactive programming with Tkinter, this Python guide belongs on every scientist's shelf! Highlights include: 1) Program structures 2) NumPy 3) Matplotlib 4) SymPy 5) SciPy 6) VPython 7) Tkinter 8) Numerical calculations 9) Statistical calculations 10) Boolean algebra
In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein. Later chapters cover a broad spectrum of themes: Li, Branco, and Zhang investigate house price prediction; Aziz and his team delve into the geo-spatial analysis of hate speech; Nazari, Branco, and Jourdan introduce innovations in GAN training methodologies; and Xie and Lin present CNN models meticulously tailored for ectopic beat classification. In its entirety, this Special Issue represents progressive strides in machine learning and deep neural networks made by distinguished scholars. It offers readers an insightful overview of both the current state-of-the-art methodologies and the burgeoning innovations within this exciting field.
p>If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your Python code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work. Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. The Python edition uses Python exclusively for all code examples, exercise, and solutions. Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions. Use these techniques today to make your Python code faster and more scalable.
Water, our planet's life force, faces multiple challenges in the 21st century, including surging global demand, shifting climate patterns, and the urgent need for sustainable management. Guidance, knowledge, and hope is sharply needed in academia and technology industries, and Innovations in Machine Learning and IoT for Water Management is a formidable resource to provide these necessities. This book delves into the dynamic synergy of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), ushering in a new era of water resource stewardship. This book embarks on a journey through the frontiers of AI and IoT, unveiling their transformative impact on water management. From the vantage point of satellite imagery analysis, it scrutinizes the Earth's vital signs, unlocking crucial insights into water resources. It chronicles the rise of AI-powered predictive analytics, a revolutionary force propelling precision water usage and conservation. This book explains how IoT can be an effective tool to increase intelligence of our water systems. The book meticulously navigates through domains as diverse as aquifer monitoring, hydropower generation optimization, and predictive analytics for water consumption. This book caters to a diverse audience, from water management experts and environmental scientists to data science aficionados and IoT enthusiasts. Engineers seeking to reimagine the future of water systems, technology enthusiasts eager to delve into AI's potential, and individuals impassioned by preserving water will all find a well-needed resource in these pages.
Navigating Emerging Tech EthicsCONVERSATIONAL CHAT INFORMATIVE BOOKBy ABEBE- BARD AI WOLDEMARIAM The rapid advancement of emerging technologies has brought about a plethora of ethical concerns, particularly in the realms of targeted surveillance and manipulation. This book delves into these critical issues, examining the potential harms and benefits of these technologies while exploring strategies for fostering ethical and responsible development.In this thought-provoking volume, Abebe-Bard AI Woldemariam provides a comprehensive overview of the ethical landscape surrounding emerging technologies. Drawing upon cutting-edge research and real-world case studies, the book explores the ethical implications of targeted surveillance, addressing issues such as privacy, autonomy, and discrimination. It also examines the potential for manipulation through social media, algorithms, and other forms of digital technology, considering the impact on individuals and society as a whole.Key Features:Explores the ethical implications of targeted surveillance and manipulation in the context of emerging technologies.Examines the potential harms and benefits of these technologies, considering the impact on individuals and society.Provides strategies for fostering ethical and responsible development of emerging technologies.Offers a comprehensive overview of the ethical landscape surrounding emerging technologies.Draws upon cutting-edge research and real-world case studies.Target Audience:Policymakers and regulators responsible for developing and overseeing emerging technologies.Researchers and scholars in the fields of technology ethics, law, and social sciences.Technology professionals concerned with the ethical implications of their work.Informed citizens interested in understanding the ethical challenges posed by emerging technologies.
Are you ready to revolutionize your fraternity or sorority recruitment? Michael Ayalon and Ben Gold have crafted an extraordinary guide that will take your Greek Life experience to the next level. In "Using AI to Grow Your Fraternity or Sorority," they provide you with a cutting-edge playbook that seamlessly integrates Artificial Intelligence (AI) into the heart of your organization. Are you ready to reshape the future of your fraternity or sorority? "Using AI to Grow Your Fraternity or Sorority" is your key to unlocking a new era of recruitment success. Get your copy today and embark on a journey of innovation, growth, and excellence in Fraternity and Sorority Life.
This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning.
This book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making. It reports on set of hybrid models developed by the authors, and show how they can be adapted, case by case, to the lack of certainty under a variety of criteria. Among them, hybrid models combining m-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, and m-polar hesitant fuzzy sets and hesitant m-polar fuzzy are presented, together with some significant applications. In turn, outranking decision-making techniques such as m-polar fuzzy ELECTRE I, II, III and IV methods, as well as m-polar fuzzy PROMETHEE I and II methods, are developed. The efficiency of these decision-making procedures, as well as other possible extensions studied by the authors, is shown in some real-world applications. Overall, this book offers a guide on methodologies to deal with the multi-polarity and fuzziness of the real-world problems, simultaneously. By including algorithms and computer programming codes, it provides a practice-oriented reference guide to both researchers and professionals working at the interface between computational intelligence and decision making.
This book presents the proceedings of the International Conference on Managing Business through Web Analytics (ICMBWA 2021). The conference provides a global forum for sharing knowledge and results in theory, methodology, and applications of Web Analytics and their role in the formulation and the orientation of businesses' strategies. The aim of the conference is to provide a platform for researchers and practitioners from both academia and industry to meet and share their works in the field. Is an excellent resource for scholars, experts and industrial in the fields represented, as well as Ph.D. students seeking an entryway into current research in data analytics, Web analytics, machine learning algorithms, and their various applications within businesses.
This book constitutes the refereed proceedings of the 15th International Symposium on Search-Based Software Engineering, SSBSE 2023, which took place in San Francisco, CA, USA, during December 8, 2023.The 7 full and 7 short papers included in this book were carefully reviewed and selected from 23 submissions. They focus on formulating various optimization problems in software engineering as search problems, addressing them with search techniques, intending to automate complex software engineering tasks.
Der vorliegende Band markiert einen initialen Schritt zur umfassenden Erörterung des Themenfelds ¿Vertrauen in KI¿ aus vielfältigen Blickwinkeln. Dabei wird eine Herangehensweise sowohl aus wirtschafts- und sozialwissenschaftlicher als auch aus informationstechnischer Perspektive gewählt, die zudem interdisziplinäre Aspekte einbezieht. Insgesamt präsentiert der Band fünfzehn Beiträge von 25 renommierten Autorinnen und Autoren, die ihre Expertise aus vierzehn unterschiedlichen Einrichtungen einbringen. Ziel dieser Debatten ist es, Lernende, Lehrende, Forschende sowie Entscheidungsträgerinnen und -träger aus Politik und Wirtschaft dazu zu befähigen, auf Basis von Fakten eine fundierte Meinung zu bilden. Auf dieser Grundlage sollen sie in der Lage sein, gut durchdachte persönliche Entscheidungen im Umgang mit KI zu treffen.
Dieses Lehrbuch betrachtet Data Management als interdisziplinäres Konzept mit Fokus auf den Zielen datengetriebener Unternehmen. Im Zentrum steht die interaktive Entwicklung eines Unternehmensdatenmodells für ein virtuelles Unternehmen mit Unterstützung eines online Learning Games unter Einbeziehung der Aufgaben, Ziele und Grundsätze des Data Managements, typischer Data-Management-Komponenten und Frameworks wie Datenmodellierung und Design, Metadaten Management, Data Architecture, und Data Governance, und verknüpft diese mit datengetriebenen Anwendungen wie Business Warehousing, Big Data, In-Memory Data Management, und Machine Learning im Data Management Kontext.Das Buch dient als Lehrbuch für Studierende der Informatik, der Wirtschaft und der Wirtschaftsinformatik an Universitäten, Hochschulen und Fachschulen und zur industriellen Aus- und Weiterbildung.
Solid C and C++ knowledge is a must to fully understand Windows diagnostic artifacts such as memory dumps and do diagnostic, forensic, and root cause analysis beyond listing stack traces, DLL, and driver information. This full-color reference book is a part of the Accelerated C & C++ for Windows Diagnostics training course organized by Software Diagnostics Services. The text contains slides, brief notes highlighting particular points, and replicated source code fragments that are easy to copy into your favorite IDE. The book's detailed Table of Contents makes the usual Index redundant. We hope this reference is helpful for the following audiences: C and C++ developers who want to deepen their knowledgeSoftware engineers developing and maintaining products on Windows platformsTechnical support, escalation, DevSecOps, cloud and site reliability engineers dealing with complex software issuesQuality assurance engineers who test software on Windows platformsSecurity and vulnerability researchers, reverse engineers, malware and memory forensics analysts
In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization. As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional--it's a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models. Whether you're a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today. In this book, you will learn: The basics of foundational statistical modeling with Tableau How to prove your analysis is statistically significant How to calculate and interpret confidence intervals Best practices for incorporating statistics into data visualizations How to connect external analytics resources from Tableau using R and Python
This Element focuses on Sleep No More, the iconic immersive theatre production of Macbeth produced by the British company Punchdrunk. Sleep No More and the Discourses of Shakespeare Performance frames this Shakespeare adaptation as part of a system of ghostly citationality through which audiences understand the significance of the past in performance today. Moreover, despite its seemingly analog format, Sleep No More is discussed as a valuable site for media research. And the concept of 'uncanny spectatorship' is introduced to describe audience practice in Sleep No More and other performance contexts. Ultimately, this Element offers readers the opportunity to explore a set of concepts that are significant to the study of Shakespeare in performance and to consider the ways in which audiences interact with bodies, spaces, text, and media in Sleep No More and other immersive experiences.
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.
Quantum computing offers great promise in a wide variety of applications that need computational power beyond the limits of current conventional computers, including machine learning and AI, cryptanalysis, and simulation of quantum physics and chemistry. Fundamentally new programming technologies are required to develop quantum software that can realize the super-power of quantum computing. Foundations of Quantum Programming, Second Edition provides a systematic exposition of the subject of quantum programming. The emphasis is placed on the foundational concepts, methods and techniques that can be widely used for various quantum programming models and languages. It describes how programming methodologies developed for current computers can be extended for quantum computers, along with new programming methodologies that can effectively exploit the unique power of quantum computing. It introduces a chain of quantum programming models from sequential to parallel and distributed programming in the paradigm of superposition-of-data to the paradigm of superposition-of-programs. It also presents a series of logical and mathematical tools for verification and analysis of quantum programs, including invariant generation, termination analysis and abstract interpretation.
Construction Methods for an Autonomous Driving Map in an Intelligent Network Environment not only supports the development of Intelligent & Connected Transportation, but also promotes the landing application of autonomous driving. Areas covered include the fusion target perception method based on vehicle vision and millimeter wave radar, cross-field of view object perception method, vehicle motion recognition method based on vehicle road fusion information, vehicle trajectory prediction method based on improved hybrid neural network and driving map construction driven by road perception fusion are introduced in this book. Benefiting from the development of computer technique, the advanced machine learning and artificial intelligence theories are used by this book to show readers the construction process of the Autonomous Driving Map.
This book constitutes the refereed proceedings of the 19th International Symposium on Algorithmics of Wireless Networks, ALGOWIN 2023, held in Amsterdam, The Netherlands, during September 7¿8, 2023.The 10 full papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: design and analysis of algorithms, models of computation and experimental analysis.
This book constitutes the refereed proceedings of the 26th Brazilian Symposium on Formal Methods, SBMF 2023, held in Manaus, Brazil, during December 4-8, 2023.The 7 full papers and 2 short papers presented in this book were carefully reviewed and selected from 16 submissions.The papers are divided into the following topical sections: specification and modeling languages; testing; and verification and validation.
This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors.The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions.Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristicsoffer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.
This book reports on research findings and practical lessons featuring advances in the areas of digital and interaction design, graphic design and branding, design education, society and communication in design practice, and related ones. Gathering the proceedings of the 7th International Conference on Digital Design and Communication, Digicom 2023, held on November 9-11, 2023, as a hybrid event, in/from Barcelos, Portugal, this book continues the tradition of the previous ones reporting on new design strategies to foster digital communication within and between the society, institutions and brands. By highlighting innovative ideas and reporting on multidisciplinary projects, it offers a source of inspiration for designers of all kinds, including graphic and web designers, UI, UX and social media designers, and to researchers, advertisers, artists, and brand and corporate communication managers alike.
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