Data og IT

This book examines the practices of writers in the AAA video game industry, to provide a model for game writing pedagogy that highlights the roles and skills utilized by these innovative storytellers.

This book brings together examples from the "Innovative Ecosystem with Artificial Intelligence for Andalusia 2025" project at the University of Seville, a series of sub-projects composed of research groups and different institutions or companies which explore AI in a variety of high-impact sectors, to lead innovation and assist in decision-making.

This book discusses the newest approach to online learning systems in higher education. As e-learning platforms change their mechanisms for data processing and storage towards being more efficient and smarter, this book covers online learning systems and their application to large scaled data along with the technological aspects.

This book covers advancements and future challenges in biomedical application development using disruptive technologies like AI, IoT and Signal Processing. Book is divided into 4 main sections namely medical image processing using AI, IoT and biomedical devices, signal processing and electronic health records, and advances with case studies.

Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words.

This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.

Enterprises are evolving into real-time digital organizations. This book focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies, the products, processes, platforms, patterns, and practices, and use cases.

This book focuses on the futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools with the models of the data-driven blockchain ecosystem.

The book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges. It presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.

The text discusses covers topics on cyber-physical systems, Internet of Things (IoT) in Human-Machine Interaction, using a blend of theoretical knowledge with practical approach. It will be a useful text for graduate students, and academic researchers in areas including electrical, and electronics and communications engineering.

During the Covid-19 pandemic, we observed that the images helped doctors immensely in fast detection of Covid-19 infection in patients. There are many critical applications which use image processing to extract some useful information from raw image data.

This text covers the latest machining processes using evolutionary optimization and comparative analysis with conventional optimization techniques. It will an ideal reference text for graduate students and academic researchers working in diverse engineering fields including mechanical, aerospace, industrial, manufacturing.

The text introduces soft computing techniques in addressing sustainable solutions for the issues related to smart materials and manufacturing. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, and materials science.

This book offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.

Focuses on cutting edge research from informatics and complex industrial systems. Covers topics including health informatics, bioinformatics, brain-informatics, genomics and proteomics, data and network security etc. Beginners and advanced researchers in computer science, information sciences, electrical/electronic engineering, and robotics.