Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models. Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field. The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.

Blockchain is the most disruptive technology to emerge in the last decade. The evolution of cryptocurrencies has carried with it a revolution in digital economics that has catapulted the application of blockchain technology to a new level across a variety of industries, including banking, security, networking, and more. Blockchain Technology and Computational Excellence for Society 5.0 closes the gap in existing literature by presenting a selection of chapters that not only shape the research domain, but also present supportive real-life problems and pragmatic solutions. This book presents a variety of highly relevant themes, concepts, and applications in blockchain, discussing topics such as cyber security, digital currencies, and intelligent networks, fueling awareness and interest. With its insight into various platforms, techniques, and tools, this book serves as a valuable resource for academicians, researchers, research scholars, postgraduates, professors, computer scientists, and technology enthusiasts.

The security of an organizational information system with the invention of next-generation technologies is a prime focus these days. The industries and institutions in the field of computing and communication, especially in internet of things, cloud computing, mobile networks, next-generation networks, the energy market, banking sector, government sector, and many more, are primarily focused on these security and privacy issues. Blockchain is a new technology that has changed the scenario when it comes to addressing security concerns and resolving traditional safety issues. These industries have started developing applications based on the blockchain underlying platform to tap into this unlimited potential. Blockchain technologies have a great future, but there are still many challenges and issues to resolve for optimal design and utilization of the technology. Revolutionary Applications of Blockchain-Enabled Privacy and Access Control focuses on the recent challenges, design, and issues in the field of blockchain technologies-enabled privacy and advanced security practices in computing and communication. This book provides the latest research findings, solutions, and relevant theoretical frameworks in blockchain technologies, information security, and privacy in computing and communication. While highlighting the technology itself along with its applications and future outlook, this book is ideal for IT specialists, security analysts, cybersecurity professionals, researchers, academicians, students, scientists, and IT sector industry practitioners looking for research exposure and new ideas in the field of blockchain.

Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives is an ideal resource for biomedical engineers and computer scientists, clinicians and clinical researchers looking for an understanding on the latest technologies applied to oral and maxillofacial surgery. In facial surgery, computer-aided decisions supplement all kind of treatment stages, from a diagnosis to follow-up examinations. This book gives an in-depth overview of state-of-the-art technologies, such as deep learning, augmented reality, virtual reality and intraoperative navigation, as applied to oral and maxillofacial surgery. It covers applications of facial surgery that are at the interface between medicine and computer science. Examples include the automatic segmentation and registration of anatomical and pathological structures, like tumors in the facial area, intraoperative navigation in facial surgery and its recent developments and challenges for treatments like zygomatic implant placement.

The Destiny Grimoire Anthology is a must-have collectible lore compendium assembled for Destiny's devoted and enlightened scholars and lore lovers, as well as fans of fantasy and science fiction storytelling. The Destiny Grimoire Anthology weaves tales from multiple sources together for the first time, casting new light on Destiny's most legendary heroes, infamous villains, and their greatest moments of triumph and tragedy.

As the videogame industry has grown up, the need for better stories and characters has dramatically increased, yet traditional screenwriting techniques alone cannot equip writers for the unique challenges of writing stories where the actions and decisions of a diverse range of players are at the centre of every narrative experience. Game Writing: Narrative Skills for Videogames was the first book to demystify the emerging field of game writing by identifying and explaining the skills required for creating videogame narrative. Through the insights and experiences of professional game writers, this revised edition captures a snapshot of the narrative skills employed in today's game industry and presents them as practical articles accompanied by exercises for developing the skills discussed. The book carefully explains the foundations of the craft of game writing, detailing all aspects of the process from the basics of narrative to guiding the player and the challenges of nonlinear storytelling. Throughout the book there is a strong emphasis on the skills developers and publishers expect game writers to know. This second edition brings the material up to date and adds four new chapters covering MMOs, script formats, narrative design for urban games, and new ways to think about videogame narrative as an art form. Suitable for both beginners and experienced writers, Game Writing is the essential guide to all the techniques of game writing. There's no better starting point for someone wishing to get into this exciting field, whether they are new game writers wishing to hone their skills, or screenwriters hoping to transfer their skills to the games industry.

Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry.

The technology of Artificial Intelligence is here, and moving fast, without ethical standards in place. A Blueprint for the Regulation of Artificial Intelligence Technologies leans on classical western philosophy for its ethical grounding. Values such as conscience, rights, equity, and discrimination, establish a basis for regulatory standards. Multiple international agencies with governing interests are compared. The development of ethical standards is suggested through two new non-governmental organizations (NGOs). The first is to develop standards that evolve from practice, while the second acts as an ombudsman to settle abuse. Both NGOs are envisioned to cooperate with regulators. More than seeking a perfect solution, the book aims to balance the tension between conflicting interests, with the goal to keep this dangerously wonderful technology under global human control. For that to materialize, the technology needs to have a seat on the table of global ethics. The final chapter lists fourteen thinking points to achieve an ethics balance for new technologies.

Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.