Databaser

Papers address a major challenge in archaeology: non-intrusive research in pursuit of a deeper understanding of urban areas can be richly informative and cost-effective. Geophysical surveys, UAVs, exposed historic structures and the exhaustive examination of archival records can all play a vital role and their implementation is considered here.

This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach.

The text covers techniques, and frameworks pertaining to the internet of medical things and highlights computing algorithms to establish a pre-learned intelligent system for improving and automating the diagnosis process in personal healthcare systems as well as the protection of health records using blockchain technology.

The book reviews the development process of blockchain algorithms and examples of their applications in different sectors. The opportunities and challenges of blockchain implementations that arise in making technological innovations usable in corporate structures are discussed.

The book is a baseline reference for researchers and academicians who are investigating the application of deep learning algorithms in the healthcare sector. It focuses on medical imaging and healthcare data analytics.

The book is designed as a reference text and explores the concepts and techniques of IoT, AI, and blockchain.

This book explores how one distinguishing feature of Data Science ¿ its focus on data collected from social and environmental contexts within which learners often find themselves deeply embedded ¿ suggests serious implications for learning and education.

Consent is necessary for collecting, processing and transferring Personal Identifiable Information (PII) and sensitive personal data. But to what extent? What are the limitations and restricts to avoid penalties under The General Data Protection Regulation 2018 (GDPR) rules, which may be up to 4% of annual global turnover or 20 million (whichever is higher), enforcements and sanctions? Under GDPR Article 51, each EU Member State shall maintain an independent public authority to be responsible for monitoring the application of this regulation to protect the fundamental rights of data subjects (Supervisory Authority). The Supervisory Authority has powers to issue warnings, conduct audits, recommend remediation, order erasure of data and suspend data transfers to a third country. GDPR has changed the way data is used, accessed and stored. It's reach extends well beyond the European Union and is the basis of other data privacy laws around the world. This book provides a review and guidance on implementing and compliance of GDPR while taking advantage of technology innovations and supported by real-life examples. The book shows the wide scope of applications to protect data privacy while taking advantage of processes and techniques in various fields such as eDiscovery, Cyber Insurance, Virtual-based Intelligence, Information Security, Cyber Security, Information Governance, Blockchain and Biometric technologies and techniques.

This book covers the application of game theory, IoT and metaverse related to biomedical and healthcare applications. The book bridges the gap between radiologists and Artificial Intelligence (AI)-driven automated systems by investigating various techniques with a game theoretic approach.

Digital Transformation in Industry 4.0/5.0 requires the effective and efficient application of digitalization technologies in the area of production systems. This book elaborates on concepts, techniques, and technologies from computer science in the context of Industry 4.0/5.0 and demonstrates their possible applications. Thus, the book serves as an orientation but also as a reference work for experts in the field of Industry 4.0/5.0 to successfully advance digitization in their companies.

The book will also benefit professionals, at all levels, who seek transition to the software field.

Delve into cognitive analysis, a comprehensive exploration of artificial intelligence and data analytics. This book illustrates advanced techniques and how reinforcement learning concepts are applied across various domains. It provides readers with a broad perspective on the potential that emerges when cognition and reinforcement band together. Learn more about the latest advancements in AI and machine learning, including transforming healthcare by enabling smarter diagnosis and treatment decisions to enhance the efficiency of smart cities through dynamic decision control and predicting optimal moves in complex scenarios. This book also explores: - Each chapter contains a narrative of innovation, ranging from the improvement of prediction models to optimizing resource allocation, from identifying healthcare problems to transforming smart cities - Sheds light on the development of cognitive-enhanced reinforcement learning and all of its numerous uses - Explores ideas, methods, and real-world applications that influence the development of cognitive analytics and reinforcement learning - Captures the essence of reinforcement learning and cognitive analytics

This MOAC Microsoft Access 2010 77-885 text best prepares students for the Microsoft Office Specialist exam. The program is based upon the same curriculum as the Microsoft Office Specialist Exam to build the skills students need to succeed at work and the preparation they need to validate those skills and get the jobs they seek.

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.

This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.

Smart Food Industry: The Blockchain for Sustainable Engineering, Volume II - Current Status, Future Foods, and Global Issues reviews the literature and scientific frameworks to present a kind of sustainability compass.

Since the beginning of the 21st century, there has been an explosion in startup organizations. Together, these organizations have been valued at over $3 trillion. In 2019, alone, nearly $300 billion of venture capital was invested globally (Global Startup Ecosystem Report 2020). Simultaneously, an explosion in high volume and high velocity of big data is rapidly changing how organizations function. Gone are the days where organizations can make decisions solely on intuition, logic, or experience. Some have gone as far as to say that data is the most valuable currency and resource available to businesses, and startups are no exception. However, startups and small businesses do differ from their larger counterparts and corporations in three distinct ways: 1) they tend to have fewer resources, time, and specialized training to devote to data analytics; 2) they are part of a unique entrepreneurial ecosystem with unique needs; 3) scholarship and academic research on human capital data analytics in startups is lacking. Existing entrepreneurship research focuses almost exclusively on macro-level aspects. There has been little to no integration of micro- and meso-level research (i.e., individual and team sciences), which is unfortunate given how organizational scientists have significantly advanced human capital data analytics. Unlike other books focused on data analytics and decision for organizations, this proposed book is purposefully designed to be more specifically aimed at addressing the unique idiosyncrasies of the science, research, and practice of startups. Each chapter highlights a specific organizational domain and discuss how a novel data analytic technique can help enhance decision-making, provides a tutorial of said regarding the data analytic technique, and lists references and resources for the respective data analytic technique. The volume will be grounded in sound theory and practice of organizational psychology, entrepreneurship and management and is divided into two parts: assessing and evaluating human capital performance and the use of data analytics to manage human capital.

In the rapidly evolving landscape of the digital age, two technologies stand out for their transformative potential: Artificial Intelligence (AI) and Blockchain. This book offers an incisive exploration of the confluence between these technological titans.