Advances in Digital Technologies for Smart Applications - Böcker

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on artificial intelligence. It also identifies gaps in research into effective digital marketing tools, techniques and methods, and it bridges the interaction between digital marketing strategies and organisations’ business plans, on the one hand, and customer relations, on the other, in the age of artificial intelligence.This book presents the concepts and applications of digital marketing in the age of artificial intelligence to readers in a comprehensive manner. The book highlights the major breakthroughs and technologies in digital marketing for effective interaction, analysis, prediction and design to formulate the best strategy for a business by using artificial intelligence solutions. This enables specialists to apply advances in digital marketing in the age of artificial intelligence in the right way to serve customers and solve business problems in this competitive age.Covering the intersection of marketing and artificial intelligence, this book is a first-rate reference and an indispensable resource for business leaders, academics, salespeople, marketing professionals, managers, business owners, researchers, practitioners, instructors, college and university libraries, students, consultants, businesspeople, computer scientists, and customer-focused institutions.

This book highlights the technological advances that are transforming the future of digital marketing and covers important areas of research in this field. The book demonstrates advances in digital marketing as well as tools, techniques, methods and strategies based on artificial intelligence. It also identifies gaps in research into effective digital marketing tools, techniques and methods, and it bridges the interaction between digital marketing strategies and organisations’ business plans, on the one hand, and customer relations, on the other, in the age of artificial intelligence.This book presents the concepts and applications of digital marketing in the age of artificial intelligence to readers in a comprehensive manner. The book highlights the major breakthroughs and technologies in digital marketing for effective interaction, analysis, prediction and design to formulate the best strategy for a business by using artificial intelligence solutions. This enables specialists to apply advances in digital marketing in the age of artificial intelligence in the right way to serve customers and solve business problems in this competitive age.Covering the intersection of marketing and artificial intelligence, this book is a first-rate reference and an indispensable resource for business leaders, academics, salespeople, marketing professionals, managers, business owners, researchers, practitioners, instructors, college and university libraries, students, consultants, businesspeople, computer scientists, and customer-focused institutions.

Pakistan is the sixth most populous country in the world. Unexpectedly, the education system in Pakistan is quite orthodox in teaching and learning. There are numerous educational institutes in Pakistan but they are rigorously following conventions. There are problems with infrastructure, and in some areas, the basic facilities are also not there. Sometimes the classrooms are overpopulated, and sometimes there are places where no teacher is available to teach the students. There are instances where the basic infrastructure is not complete and there are no proper classrooms for teaching and learning. All these factors are causing a lot of problems for learners to compete in the modern world. English enjoys the status of official language in the country but, surprisingly, learning English is a troublesome area. There are problems not only in basic English language learning but also many second language learners face problems when they appear in international tests and competitive examinations. English language classrooms are usually boring and uninteresting. Therefore, this book is written with an aim to provide alternative solutions to the conventional methods by integrating modern technology tools in Pakistani classrooms. The scope of this book is widened for language researchers, policymakers, readers and administrators of the government to analyse some of the problems and issues mentioned in this book and develop a roadmap for better education.Some of the key elements of this book are as follows:This is the first research-based book to explore some of the latest research tools in Pakistani classroomsThis book is based on research-based chaptersShows pictures of local English language classroomsProvides insights and practices for integrating modern methods in English language classrooms

The book embarks on the transformative reforms in Public Administration at the nexus of digital innovation and governance paradigms in Morocco. The book addresses the new paradigms of eGovernment, which transcends traditional boundaries of public administration, offering a meticulous blend of theoretical depth and practical insights, through its sophisticated methodological approach. The book investigates eGovernment Whole-of-Government Approaches (WGA) efficiency in back-office transactions (G2G) for promoting good governance ethics, through its theoretical underpinnings and practical applications. It offers new insights into the evolving nature of governance in the digital administration. The study is a comprehensive analysis of eGovernment 2.0 and its theoretical foundations, practical implementations, and potential impacts on collaborative governance. The book unveils the veiled potential of eGovernment WGA utilities in fostering networked governance practices. It is beneficial for policymakers, researchers, IT professionals, and practitioners interested in understanding eGovernment 2.0 networked governance approaches, reached so far. It offers insights into theoretical aspects, practical applications, and future implications, making it a must-read manuscript to understand the complexities of networked governance in the era of eGovernment 2.0. The book is beneficial in the way it designs a roadmap:· To evaluate the effectiveness of IT systems across public and private sectors, facilitated by its comprehensive measurement and methodology.· To study the eGovernment Whole-of-Government Approach aimed at enhancing Good Governance within back-office transactions (G2G).· To measure the efficiency of all the integrated IT systems in public and private sectors vis-à-vis good governance ethics.· To assess the forthcoming stage of eGovernment 3.0 in the era of AI.This book is a groundbreaking reference for researchers and decision-makers to navigate the development of eGovernment 3.0 new approaches in governance and management transformation, within its de jure and de facto realities. In fact, it is an essential reference for policymakers, researchers, and practitioners, looking to understand and navigate the evolving landscape of eGovernment networked governance to shape a future where collaborative management is mandatory for mutual development and prosperity across all agencies, sectors and countries.

The book embarks on the transformative reforms in Public Administration at the nexus of digital innovation and governance paradigms in Morocco. The book addresses the new paradigms of eGovernment, which transcends traditional boundaries of public administration, offering a meticulous blend of theoretical depth and practical insights, through its sophisticated methodological approach. The book investigates eGovernment Whole-of-Government Approaches (WGA) efficiency in back-office transactions (G2G) for promoting good governance ethics, through its theoretical underpinnings and practical applications. It offers new insights into the evolving nature of governance in the digital administration. The study is a comprehensive analysis of eGovernment 2.0 and its theoretical foundations, practical implementations, and potential impacts on collaborative governance. The book unveils the veiled potential of eGovernment WGA utilities in fostering networked governance practices. It is beneficial for policymakers, researchers, IT professionals, and practitioners interested in understanding eGovernment 2.0 networked governance approaches, reached so far. It offers insights into theoretical aspects, practical applications, and future implications, making it a must-read manuscript to understand the complexities of networked governance in the era of eGovernment 2.0. The book is beneficial in the way it designs a roadmap:· To evaluate the effectiveness of IT systems across public and private sectors, facilitated by its comprehensive measurement and methodology.· To study the eGovernment Whole-of-Government Approach aimed at enhancing Good Governance within back-office transactions (G2G).· To measure the efficiency of all the integrated IT systems in public and private sectors vis-à-vis good governance ethics.· To assess the forthcoming stage of eGovernment 3.0 in the era of AI.This book is a groundbreaking reference for researchers and decision-makers to navigate the development of eGovernment 3.0 new approaches in governance and management transformation, within its de jure and de facto realities. In fact, it is an essential reference for policymakers, researchers, and practitioners, looking to understand and navigate the evolving landscape of eGovernment networked governance to shape a future where collaborative management is mandatory for mutual development and prosperity across all agencies, sectors and countries.

This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. It covers topics such as solar energy, wind energy, and solar concentrator technologies, as well as building systems and power generation systems. In all these areas, applications of soft computing methods such as artificial neural networks, genetic algorithms, particle swarm optimization, cuckoo search, fuzzy logic, and a combination of these, called hybrid systems, are included. This book is a source for students interested in the fields of renewable energy and the application of the soft computing. In addition, our book can be considered as a reference for researchers and academics since it will include applications of soft computing in different renewable energy systems.

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, you’ll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, you’ll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether you’re a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics.

Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, you’ll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, you’ll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether you’re a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics.

Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications. As the IoT landscape continues to expand rapidly, the need for robust security measures becomes paramount to safeguard sensitive data and ensure the integrity of connected devices. This book delves into the synergistic potential of leveraging big data analytics and blockchain’s decentralized ledger system to fortify IoT ecosystems against various cyber threats, ranging from data breaches to unauthorized access. Within this groundbreaking text, readers will uncover the foundational principles underpinning big data analytics and blockchain technology, along with their respective roles in enhancing IoT security. Through insightful case studies and practical examples, this book illustrates how organizations across diverse industries can harness the power of these technologies to mitigate risks and bolster trust in IoT deployments. From real‑time monitoring and anomaly detection to immutable data storage and tamper‑proof transactions, the integration of big data and blockchain offers a robust framework for establishing secure, transparent, and scalable IoT infrastructures. Furthermore, this book serves as a valuable resource for researchers, practitioners, and policymakers seeking to navigate the complexities of IoT security. By bridging the gap between theory and application, this book equips readers with the knowledge and tools necessary to navigate the evolving landscape of interconnected devices while safeguarding against emerging cyber threats. With contributions from leading experts in the field, it offers a forward‑thinking perspective on harnessing the transformative potential of big data and blockchain to realize the full promise of the IoT securely.

Smart Applications of Artificial Intelligence and Big Data covers a wide range of topics related to AI and big data, including machine learning, deep learning, natural language processing, computer vision, data analytics, and data mining. It focuses on the integration of these technologies to create smart applications, such as intelligent transportation systems, smart healthcare, smart cities, and smart grids.This book comprises 21 chapters, each providing technical details pertaining to research, practical examples, and case studies to help readers understand the real-world applications of AI and big data technologies. The book also highlights cutting-edge research on AI and big data, including novel algorithms, tools, and techniques. It discusses the challenges and opportunities of using AI and big data to develop smart applications and provides recommendations for the development of responsible and transparent AI-based systems. This book is a valuable resource for researchers and professionals looking to stay up-to-date with the latest advancements in AI and big data and how they can be applied to solve real-world challenges.

Artificial Intelligence (AI) is reshaping our urban landscapes and healthcare systems. From enhancing efficiency in smart cities to delivering personalized healthcare solutions, AI holds the key to a transformative future.Comprising seven insightful chapters, this book offers a comprehensive overview of key topics shaping the future of healthcare systems and smart cities. This book is a combination of the smart healthcare system and the intelligent transportation system based on AI. From telemedicine’s global accessibility to the application of data-mining techniques in predicting cardiac diseases and detecting anti-malaria drug resistance, each chapter presents cutting-edge research and practical applications.Furthermore, this book explores the integration of advanced AI technologies into healthcare systems, paving the way for cost-effective solutions and innovative approaches. It also delves into the challenges associated with analyzing electroencephalogram data and predicting anxiety and depression among elderly patients, offering promising solutions and insights.This book discusses the realms of smart cities and healthcare, where AI promises to revolutionize efficiency, sustainability, and personalized care delivery. Researchers/scholars and graduate students at universities/research institutes and research engineers in computer science, transportation, and engineering industries will find this book beneficial.

The rapid growth of machine learning in recent years has made it a popular tool for data analysis, modeling, and predictions. As more data is generated from fluid flow simulations and experiments, the use of machine learning algorithms has become essential in making sense of it all. Advances and Applications of Machine Learning in Fluid Flow Problems provides insight into the effective use of machine learning in fluid flow and its potential impact on the field. It examines the application of machine learning techniques in various fluid flow problems, including but not limited to turbulent flow, multiphase flow, complex geometries, flow control, turbulence modeling, particle-fluid interactions, numerical simulations, data-driven modeling, flow in porous media, oil/gas reservoir simulation, permeability prediction, and more. It serves as a useful tool for a wide range of readers in the professional, industrial, and academic sectors.Covers both the theories and practical applications of machine learning in fluid flow problems, making the book a unique and valuable resource for professionals and researchers in the field.Provides a comprehensive examination of the application of machine learning for all aspects of fluid flow problems.

This book explores the transformative potential of sensor data analytics in healthcare, focusing on both real‑time and streaming analytics applications in clinical and non‑clinical environments. It introduces the foundations of sensor data collection and analytics, delving into data acquisition techniques, mining challenges, and the integration of wearable technologies. It addresses key methodologies and real‑world use cases, illustrating how sensor data can improve healthcare delivery, optimize operations, and enhance patient outcomes. It includes topics from algorithmic approaches to practical implementations across a variety of medical domains.Key Features: Covers fundamental concepts of sensor data acquisition, preprocessing, and real‑time analysis for healthcare systems. Examines the role of wearables in continuous monitoring and their analytics use in clinical workflows. Addresses the challenges and techniques for handling streaming data in dynamic healthcare environments. Explores machine learning and data mining algorithms tailored to healthcare sensor data. Provides examples across hospital operations, patient monitoring, diagnostics, and healthcare management.This book is for researchers and practitioners in data science, healthcare informatics, biomedical engineering, and healthcare management.

This book discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management. It bridges the gap between these two dynamic fields, offering a comprehensive guide to the application of quantum principles in supply chain operations. Through detailed examples and case studies, it highlights how quantum computing can tackle industry-specific issues, such as managing global supply chain disruptions, enhancing production schedules, and enabling real-time decision-making. This book is for researchers, professionals, and technologists interested in quantum computing and supply chain practices.Features:Provides an in-depth analysis of quantum computing technologies and their capacity to solve complex optimisation problems at scales unimaginable with traditional computingExamines the impact of quantum computing on manufacturing and logistics, with a focus on sectors such as automotive and aerospaceReal-world scenarios illustrate how quantum solutions can streamline operations and drive efficiencyExplores quantum algorithms and their use in addressing challenges like route optimisation, inventory management, and demand forecasting, offering strategies to reduce costs and improve resilienceConsiders the current limitations, ethical implications, and the path to widespread adoption of quantum computing in supply chains, emphasising the need for interdisciplinary collaboration

The book serves two very important purposes. Firstly, the concept of vulnerabilities due to cyberattacks in all walks of lives are explained along with how to detect and reduce the risk through digital forensics. Secondly, the book describes how such threats at a larger scale can threaten national security. This book discusses for the first time various dimensions of national security, the risks involved due to cyber threats, and ultimately the detection and prevention of cyber threats through cyber forensics and cybersecurity architectures. This book empowers readers with a deep comprehension of the various cyber threats targeting nations, businesses, and individuals, allowing them to recognize and respond to these threats effectively. It provides a comprehensive guide to digital investigation techniques, including evidence collection, analysis, and presentation in a legal context, addressing a vital need for cybersecurity professionals and law enforcement. The book navigates the complex legal and policy considerations surrounding cybercrime and national security, ensuring readers are well-versed in compliance and ethical aspects.The primary purpose of Cybersecurity, Forensics and National Security is to fill a critical gap in the realm of literature on cybersecurity, digital forensics, and their nexus with national security. The need for this resource arises from the escalating threats posed by cyberattacks, espionage, and other digital crimes, which demand a comprehensive understanding of how to investigate, respond to, and prevent such incidents.Features:1. This book consists of content dedicated to national security to assist law enforcement and investigation agencies.2. The book will act as a compendium for undertaking the initiatives for research in securing digital data at the level of national security with the involvement of intelligence agencies.3. The book focuses on real-world cases and national security from government agencies, law enforcement, and digital security firms, offering readers valuable insights into practical applications and lessons learned in digital forensics, as well as innovative methodologies aimed at enhancing the availability of digital forensics and national security tools and techniques.4. The book explores cutting-edge technologies in the field of digital forensics and national security, leveraging computational intelligence for enhanced reliability engineering, sustainable practices, and more.

As the global push toward energy accelerates, NanoRevolution: Unveiling the Future of Energy through Advanced Materials and Digital Technologies brings forward a powerful vision of how advanced materials and digital technologies are redefining energy solutions. This comprehensive resource navigates the frontiers of nanotechnology, artificial intelligence (AI), and IoT applications within the renewable energy sector, presenting innovative strategies that address today’s most pressing energy challenges.Across 15 chapters, NanoRevolution covers transformative advancements in photovoltaic and energy storage technologies. It explores the application of density functional theory (DFT) in developing high-efficiency, lead-free solar cells, new methodologies for enhancing MXenes-based materials, and emerging AI-powered solutions for energy optimization and predictive maintenance. The book also examines IoT-driven innovations in photovoltaic systems and provides a high-level overview of blockchain's potential in secure energy transactions.This book is an invaluable guide for researchers, engineers, and industry professionals focused on next-generation energy solutions, offering both theoretical depth and practical applications to drive progress toward a sustainable energy future.