Computer science—especially pattern recognition, signal processing and mathematical algorithms—can offer important information about archaeological finds, information that is otherwise undetectable by the human senses and traditional archaeological approaches. Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine intelligence will find innovative research methodologies combined to create novel and efficient computational systems, offering robust, exact, and reliable performance and results. Archaeologists, conservators, and historians will discover reliable automated methods for quickly reconstructing archaeological materials and benefit from the application of non-destructive, automated processing of archaeological finds.

Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in these areas. This book aids archaeologists in learning more advanced tools and methods while also helping mathematicians, statisticians, and computer scientists with no previous knowledge of the field realize the potential of the methods in archaeological experiments.

Developments in technologies have evolved in a much wider use of technology throughout science, government, and business; resulting in the expansion of geographic information systems. GIS is the academic study and practice of presenting geographical data through a system designed to capture, store, analyze, and manage geographic information. Geographic Information Systems: Concepts, Methodologies, Tools, and Applications is a collection of knowledge on the latest advancements and research of geographic information systems. This book aims to be useful for academics and practitioners involved in geographical data.

Mathematics is, by its very nature, an abstract discipline. However, many students learn best by thinking in terms of tangible constructs. Enhancing Mathematics Understanding through Visualization: The Role of Dynamical Software brings these conflicting viewpoints together by offering visual representations as a method of mathematics instruction. The book explores the role of technology in providing access to multiple representations of concepts, using software applications to create a rich environment in which a student’s understanding of mathematical concepts can flourish. Both students and instructors of mathematics at the university level will use this book to implement various novel techniques for the delivery of mathematical concepts in their classrooms. This book is part of the Research Essential collection.

This book examines the interaction between art, design, technology and the social sciences. It features 56 papers that were presented at the International Symposium on Research of Arts, Design and Humanities, ISRADH 2014, held at Sutera Harbour Resort, Kota Kinabalu, Malaysia. Complete with helpful diagrams and tables, the papers cover such topics as artificial reef development, racial discourse in the social media, stoneware as a replacement material for modern ventilation walls, and factors contributing to internet abuse in the workplace. Overall, the coverage focuses on global design trends and demands with an emphasis on people, business and technology. Inside, readers will find information on art and science in industrial applications; art management and entrepreneurship; cognitive, psychological and behavioral science; design technology and sustainable development; humanities and social applications in quality of life; social implications of technology; and visual communication and technologies. Taking a multi-disciplinary approach, the book features insightful discussions among academicians and industrial practitioners on the evolution of design that will appeal to researchers, designers and students.

This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

Scientific techniques developed in materials science offer invaluable information to archaeology, art history, and conservation. A rapidly growing number of innovative methods, as well as many established techniques, are constantly being improved and optimised for the analysis of cultural heritage materials. The result is that on the one hand more complex problems and questions can be confronted, but on the other hand the required level of technical competence is widening the existing cultural gap between scientists and end users, such as archaeologists, museum curators, art historians, and many managers of cultural heritage who have a purely humanistic background. The book is intended as an entry-level introduction to the methods and rationales of scientific investigation of cultural heritage materials, with emphasis placed on the analytical strategies, modes of operation, and resulting information rather than on technicalities. The extensive and updated reference list should be a useful starting point for further reading. Students and researchers from the humanities approaching scientific investigations should find it useful, as well as scientists applying familiar techniques and methods to unfamiliar problems related to cultural heritage.