Advances In Business Informatics Empowered By Ai Intelligent Systems
Download Advances In Business Informatics Empowered By Ai Intelligent Systems full books in PDF, epub, and Kindle. Read online free Advances In Business Informatics Empowered By Ai Intelligent Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : P. K. Paul |
| Publisher | : CSMFL Publications |
| Total Pages | : 219 |
| Release | : 2023-03-15 |
| Genre | : Computers |
| ISBN | : 8195732208 |
Information Technology is the most significant development in the recent past, and different subfields and technologies have emerged in recent past such as Artificial Intelligence, Cloud Computing, Big data, Internet of Things, Business Analytics, Information Assurance, and Cyber Security, Robotics for sophisticated Business Informatics practice. Such effective Business Informatics is fruitful in sophisticated information and technological services to industries and organizations. Technology is required in various tangible and intangible product and service based organizations, businesses, and enterprises. In managing organizations role of information and content is just perfect not only for elasticity but also for the decision making including. Information Technology and its various subsystems are helpful in collection, selection, organization, processing, management, and dissemination of information and in organizational context role of Business Informatics is just booming. As it is an interdisciplinary and practice based subject impacting organizations of 21st century. This book is specially focused on Business Informatics with reference to the emergence of the latest technologies for promoting and advancing business and corporate sectors. It has discussed various emerging area specific organizational practices viz. Business, Healthcare Industries, Education sector, Aviation and Transportation. This edited volume is suitable for policy makers, decision makers, business and corporate houses as a trend and status report. Book is also going to be a perfect one for the academicians and researchers.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
| Author | : Kayyali, Mustafa |
| Publisher | : IGI Global |
| Total Pages | : 551 |
| Release | : 2024-04-22 |
| Genre | : Education |
| ISBN | : |
In the dynamic landscape of higher education, institutions face a myriad of challenges that threaten to inhibit their ability to nurture the leaders of tomorrow effectively. Academia is navigating new challenges, including the pressures of globalization, the complexities of digital transformation and the imperative of fostering diversity and inclusion. The need for innovative solutions and strategic approaches to these challenges has never been more pressing. Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness offers a comprehensive exploration of these critical issues, providing educators, administrators, policymakers, and researchers with a roadmap for navigating the complexities of the modern educational landscape. The book equips readers with the knowledge and insights needed to address these challenges head-on by delving into topics such as internationalization, innovation, and sustainability. This valuable resource aids understanding and responsiveness to the trends shaping higher education today through in-depth analysis and an interdisciplinary approach.
| Author | : PASCAL. BARKIN BORNET (IAN. WIRTZ, JOCHEN.) |
| Publisher | : |
| Total Pages | : 431 |
| Release | : 2020 |
| Genre | : Electronic books |
| ISBN | : 9811235848 |
| Author | : Aboul Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 403 |
| Release | : |
| Genre | : |
| ISBN | : 3031716191 |
| Author | : Satishkumar, D. |
| Publisher | : IGI Global |
| Total Pages | : 368 |
| Release | : 2024-03-28 |
| Genre | : Computers |
| ISBN | : |
In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clearto revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.
| Author | : János Fodor |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 447 |
| Release | : 2011-09-25 |
| Genre | : Computers |
| ISBN | : 3642232280 |
This volume is a collection of 19 chapters on intelligent engineering systems written by respectable experts of the fields. The book consists of three parts. The first part is devoted to the foundational aspects of computational intelligence. It consists of 8 chapters that include studies in genetic algorithms, fuzzy logic connectives, enhanced intelligence in product models, nature-inspired optimization technologies, particle swarm optimization, evolution algorithms, model complexity of neural networks, and fitness landscape analysis. The second part contains contributions to intelligent computation in networks, presented in 5 chapters. The covered subjects include the application of self-organizing maps for early detection of denial of service attacks, combating security threats via immunity and adaptability in cognitive radio networks, novel modifications in WSN network design for improved SNR and reliability, a conceptual framework for the design of audio based cognitive infocommunication channels, and a case study on the advantages of fuzzy and anytime signal- and image processing techniques. Computational intelligence represents a widely spread interdisciplinary research area with many applications in various disciplines including engineering, medicine, technology, environment, among others. Therefore, third part of this book consists of 6 chapters on applications. This is a very important part of the volume because the reader can find in it a wide range of fields where computational intelligence plays a significant role.
| Author | : Amit Kumar |
| Publisher | : Springer Nature |
| Total Pages | : 2010 |
| Release | : 2020-05-19 |
| Genre | : Technology & Engineering |
| ISBN | : 9811514208 |
This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
| Author | : Haitham M. Alzoubi |
| Publisher | : Springer Nature |
| Total Pages | : 582 |
| Release | : 2024-01-03 |
| Genre | : Computers |
| ISBN | : 3031318013 |
This book takes a unique approach by exploring the connection between cybersecurity, digitalization, and business intelligence. In today's digital landscape, cybersecurity is a crucial aspect of business operations. Meanwhile, organizations continue to leverage digital technologies for their day-to-day operations. They must be aware of the risks associated with cyber-attacks and implement robust cybersecurity measures to protect their assets. It provides practical insights and solutions to help businesses better understand the impact of cybersecurity on their digitalization and business intelligence strategies. It provides practical insights and solutions for implementing cybersecurity measures in organizations and covers a wide range of topics, including threat intelligence, risk management, compliance, cloud security, and IoT security. The book takes a holistic approach and explores the intersection of cybersecurity, digitalization, and business intelligence and examines the possible challenges and opportunities.
| Author | : Ghonge, Mangesh M. |
| Publisher | : IGI Global |
| Total Pages | : 523 |
| Release | : 2024-01-18 |
| Genre | : Computers |
| ISBN | : 1668463636 |
As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.
