Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Machine Learning For Archaeological Applications In R
Download Machine Learning For Archaeological Applications In R full books in PDF, epub, and Kindle. Read online Machine Learning For Archaeological Applications In R ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Machine Learning for Archaeological Applications in R by : Denisse L. Argote
Download or read book Machine Learning for Archaeological Applications in R written by Denisse L. Argote and published by Cambridge University Press. This book was released on 2024-07-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. These run in both high- and low-dimensional environments and often have better results than traditional methods. Instead of a theoretical approach, it provides examples of how to apply these methods to real data using lithic and ceramic archaeological materials as case studies. A detailed explanation of how to process data in R (The R Project for Statistical Computing), as well as the respective code, are also provided.
Book Synopsis Computational and Machine Learning Tools for Archaeological Site Modeling by : Maria Elena Castiello
Download or read book Computational and Machine Learning Tools for Archaeological Site Modeling written by Maria Elena Castiello and published by Springer Nature. This book was released on 2022-01-24 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure. It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.
Book Synopsis Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches by : Cesar Gonzalez-Perez
Download or read book Discourse and Argumentation in Archaeology: Conceptual and Computational Approaches written by Cesar Gonzalez-Perez and published by Springer Nature. This book was released on 2023-11-03 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the topic of discourse and argumentation in archaeology with an aim to serve the archaeology community. The book presents discourse and argument analysis approaches and techniques in an affordable manner and applied to archaeological situations. It focuses on techniques and approaches that can be applicable to multiple situations, periods and cultures. The book begins with an introduction to discourse and argumentation analysis as a general field and also as an auxiliary technique to archaeology. The work includes conceptual applications, ranging from causality, ontological connections, vagueness, social production of discourse and public debates. The work also devotes a section to computational approaches and describes the specifics of some well-known families of algorithms such as lexical processing, information extraction or sentiment analysis. The conclusion comments on the future and which reflects on the previous chapters and discusses how the presented techniques and approaches should be adapted or improved for easier and more powerful application to archaeology. Contributing authors bring perspectives from archaeology, linguistics, and computer science.
Book Synopsis Mathematics and Archaeology by : Juan A. Barcelo
Download or read book Mathematics and Archaeology written by Juan A. Barcelo and published by CRC Press. This book was released on 2015-06-08 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Computational Intelligence in Archaeology by : Barcelo, Juan A.
Download or read book Computational Intelligence in Archaeology written by Barcelo, Juan A. and published by IGI Global. This book was released on 2008-07-31 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides analytical theories offered by innovative artificial intelligence computing methods in the archaeological domain.
Book Synopsis Managing Disaster Risks to Cultural Heritage by : Bijan Rouhani
Download or read book Managing Disaster Risks to Cultural Heritage written by Bijan Rouhani and published by Taylor & Francis. This book was released on 2023-11-15 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Disaster Risks to Cultural Heritage presents case studies from different regions in the world and establishes a framework for understanding, identifying, and analysing disaster risks to immovable cultural heritage. Featuring contributions from academics and practitioners from around the globe, the book presents a comprehensive view of the scholarship relating to cultural heritage, disaster risk preparedness, and post-disaster recovery. Particular attention is given to the complex and dynamic nature of disaster risks and how they evolve during different phases of a catastrophic event, especially as hazards can create secondary effects that have greater impacts on cultural heritage, infrastructure, and economy. Arguing that risk preparedness and mitigation have historically been secondary to reactive emergency and first aid response, the book demonstrates that preparedness plans based on sound risk assessments can prevent hazards from becoming disasters. Emphasising that the protection of cultural heritage through preparedness, mitigation actions, and risk adaptation measures – especially for climate change – can contribute to the resilience of societies, the book highlights the vital role of communities in such activities. Managing Disaster Risks to Cultural Heritage will be useful to students, professionals, and scholars studying and working with cultural heritage protection. It will be of particular interest to those working in the fields of Cultural Heritage, Archaeology, Conservation and Preservation, Sustainable Development, and Disaster Studies.
Book Synopsis Deep Learning for Multimedia Processing Applications by : Uzair Aslam Bhatti
Download or read book Deep Learning for Multimedia Processing Applications written by Uzair Aslam Bhatti and published by CRC Press. This book was released on 2024-02-21 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume Two delves into advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), explaining their unique capabilities in multimedia tasks. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.
Book Synopsis Smart Applications with Advanced Machine Learning and Human-Centred Problem Design by : D. Jude Hemanth
Download or read book Smart Applications with Advanced Machine Learning and Human-Centred Problem Design written by D. Jude Hemanth and published by Springer Nature. This book was released on 2023-01-01 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
Book Synopsis Beyond Quantity by : Andreas Sudmann
Download or read book Beyond Quantity written by Andreas Sudmann and published by transcript Verlag. This book was released on 2023-11-30 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?
Book Synopsis Morphometrics for Nonmorphometricians by : Ashraf M.T. Elewa
Download or read book Morphometrics for Nonmorphometricians written by Ashraf M.T. Elewa and published by Springer. This book was released on 2010-06-01 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Morphometrics is concerned with the study of variations and change in the form (size and shape) of organisms or objects adding a quantitative element to descriptions and thereby facilitating the comparison of different objects and organisms. This volume provides an introduction to morphometrics in a clear and simple way without recourse to complex mathematics and statistics. This introduction is followed by a series of case studies describing the variety of applications of morphometrics from paleontology and evolutionary ecology to archaeological artifacts analysis. This is followed by a presentation of future applications of morphometrics and state of the art software for analyzing and comparing shape.
Book Synopsis Spatial Approaches in African Archaeology by : Cameron Gokee
Download or read book Spatial Approaches in African Archaeology written by Cameron Gokee and published by Springer Nature. This book was released on 2023-01-01 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interplay between African archaeology and geospatial methods from three broad perspectives. First, several contributors examine the technical possibilities and limits of using satellite imagery to detect archaeological sites and model their physical environs. A second perspective is the integration of new geospatial data and methods into site- and landscape-scale analyses to better address questions about social organization and subjective experience in African pasts. A final perspective considers the interplay between geospatial technologies and community archaeology in Africa. Recognizing that GIS and RS supersede traditional divisions in African archaeology, such as different periods, geographic regions, and theoretical orientations, the chapters aim to be widely applicable. Arranged by methodological emphasis, the case studies move from technical discussions of specific geospatial tools to general applications for addressing specific sociohistorical topics. Each chapter clearly explains the links between their archaeological questions and analytical methods, as well as how their results advance our understanding of African pasts and heritage resources. Many of the chapters can serve as learning models for archaeologists who are new to GIS or curious about its applications to their work. Others represent recent advances in geospatial applications of greater interest to more seasoned GIS practitioners, demonstrating the potential for African scholarship to contribute to methodological innovations. This book is of interest to students and researchers of African and historical archaeology and anthropology. Previously published in African Archaeological Review Volume 37, issue 1, March 2020
Book Synopsis Digital Heritage and Archaeology in Practice by : Ethan Watrall
Download or read book Digital Heritage and Archaeology in Practice written by Ethan Watrall and published by University Press of Florida. This book was released on 2022-06-28 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the use of digital methods in heritage studies and archaeological research The two volumes of Digital Heritage and Archaeology in Practice bring together archaeologists and heritage professionals from private, public, and academic sectors to discuss practical applications of digital and computational approaches to the field. Contributors thoughtfully explore the diverse and exciting ways in which digital methods are being deployed in archaeological interpretation and analysis, museum collections and archives, and community engagement, as well as the unique challenges that these approaches bring. In this volume, essays address methods for preparing and analyzing archaeological data, focusing on preregistration of research design and 3D digital topography. Next, contributors use specific case studies to discuss data structuring, with an emphasis on creating and maintaining large data sets and working with legacy data. Finally, the volume offers insights into ethics and professionalism, including topics such as access to data, transparency and openness, scientific reproducibility, open-access heritage resources, Indigenous sovereignty, structural racial inequalities, and machine learning. Digital Heritage and Archaeology in Practice highlights the importance of community, generosity, and openness in the use of digital tools and technologies. Providing a purposeful counterweight to the idea that digital archaeology requires expensive infrastructure, proprietary software, complicated processes, and opaque workflows, these volumes privilege perspectives that embrace straightforward and transparent approaches as models for the future. Contributors: Lynne Goldstein | Ethan Watrall | Brian Ballsun-Stanton | Rachel Opitz | Sebastian Heath | Jolene Smith | Philip I Buckland | Adela Sobotkova | Petra Hermankova | Theresa Huntsman | Heather Richards-Rissetto | Ben Marwick | Li-Ying Wang | Carrie Heitman | Neha Gupta | Ramona Nicholas | Susan Blair | Jeremy Huggett
Book Synopsis Handbook of Human Computation by : Pietro Michelucci
Download or read book Handbook of Human Computation written by Pietro Michelucci and published by Springer Science & Business Media. This book was released on 2013-12-04 with total page 1059 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses the emerging area of human computation, The chapters, written by leading international researchers, explore existing and future opportunities to combine the respective strengths of both humans and machines in order to create powerful problem-solving capabilities. The book bridges scientific communities, capturing and integrating the unique perspective and achievements of each. It coalesces contributions from industry and across related disciplines in order to motivate, define, and anticipate the future of this exciting new frontier in science and cultural evolution. Readers can expect to find valuable contributions covering Foundations; Application Domains; Techniques and Modalities; Infrastructure and Architecture; Algorithms; Participation; Analysis; Policy and Security and the Impact of Human Computation. Researchers and professionals will find the Handbook of Human Computation a valuable reference tool. The breadth of content also provides a thorough foundation for students of the field.
Book Synopsis Machine Learners by : Adrian Mackenzie
Download or read book Machine Learners written by Adrian Mackenzie and published by MIT Press. This book was released on 2017-11-16 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.
Book Synopsis Sustainable Conservation of UNESCO and Other Heritage Sites Through Proactive Geosciences by : Gad Mohamed El-Qady
Download or read book Sustainable Conservation of UNESCO and Other Heritage Sites Through Proactive Geosciences written by Gad Mohamed El-Qady and published by Springer Nature. This book was released on 2023-02-10 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents up-to-date geoscience technologies for heritage investigations and conservation, covering various sub-disciplines of geophysics, geodesy, 3D laser scanning technology, hydrogeology, and rock mechanics applied to the exploration of new heritage sites, mapping and visualization, as well as hazard mitigation. The current shift toward interdisciplinary ways of thinking highlights the added value of merging arts with sciences and other disciplines for better management and preservation of cultural heritage. Featuring advanced scientific investigations in 40 case studies around the globe, the book demonstrates how a better understanding of natural processes coupled with conservation approaches, mainly based on sustainable practices such as the use of traditional knowledge in recovery techniques and building local capacities, can ensure effective conservation.
Book Synopsis Quantitative Methods in Archaeology Using R by : David L. Carlson
Download or read book Quantitative Methods in Archaeology Using R written by David L. Carlson and published by Cambridge University Press. This book was released on 2017-06-26 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically for archaeologists. It shows how to use the system to analyze many types of archaeological data. Part I includes tutorials on R, with applications to real archaeological data showing how to compute descriptive statistics, create tables, and produce a wide variety of charts and graphs. Part II addresses the major multivariate approaches used by archaeologists, including multiple regression (and the generalized linear model); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster analysis. Part III covers specialized topics in archaeology, including intra-site spatial analysis, seriation, and assemblage diversity.
Book Synopsis Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images by : Yakoub Bazi
Download or read book Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images written by Yakoub Bazi and published by MDPI. This book was released on 2021-06-15 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.
