2 10 25 http://www.oer.unair.ac.id/files/original/b8b58a18bcf927718b381ff041291aa8.jpg d46ea6e3e48cbf129abd88a14a8f8b8b http://www.oer.unair.ac.id/files/original/f769f5e912b70e1cc01cd115a687be13.pdf 70473c45cda3dbdb5f4a2e8c5db6a93a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Entity Alignment: Concepts, Recent Advances and Novel Approaches Subject The topic of the resource Data mining Description An account of the resource This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment frameworks, while the relationships among them remain unclear. This book aims to fill that gap by elaborating the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions. Specifically, the book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches and strives to provide a clear picture of the strengths and weaknesses of the currently available solutions, so as to inspire follow-up research. In addition, it identifies novel entity alignment scenarios and explores the issues of large-scale data, long-tail knowledge, scarce supervision signals, lack of labelled data, and multimodal knowledge, offering potential directions for future research. The book offers a valuable reference guide for junior researchers, covering the latest advances in entity alignment, and a valuable asset for senior researchers, sharing novel entity alignment scenarios and their solutions. Accordingly, it will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence and big data. Creator An entity primarily responsible for making the resource Zhao, Xiang Zeng, Weixin Tang, Jiuyang Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/121950 Publisher An entity responsible for making the resource available Publisher: Springer Nature Publisher website: http://www.springernature.com/oabooks Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource Tatik Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI: 10.1007/978-981-99-4250-3 ISBN: 9789819942503, 9789819942497 Data Integration Entity Alignment Entity Matching Knowledge Fusion Knowledge Graph Knowledge Graph Alignment Knowledge Graph Matching Knowledge Graph Representation Learning Multi-Modal Knowledge Graph OER Perpustakaan Universitas Airlangga oer.unair.ac.id Perpustakaan Unair Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/b7809d7c0762796b9bc59a968bd536ef.jpg d5b3acf57133f7ed0768bc9884f1c5d0 http://www.oer.unair.ac.id/files/original/7e0f0aecca641aa8cc5f6a8beaf248f1.pdf b48094a1a6cbc869f37b77770a23be44 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Clustering Subject The topic of the resource Data mining Description An account of the resource In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data. Creator An entity primarily responsible for making the resource Tang, Niansheng (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/97038 Publisher An entity responsible for making the resource available Publisher: IntechOpen Publisher website: https://www.intechopen.com/ Date A point or period of time associated with an event in the lifecycle of the resource 2022 Contributor An entity responsible for making contributions to the resource Tatik Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/3.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI: 10.5772/intechopen.95124 Webshop link: https://www.intechopen.com/boo ... ISBN: 9781839698880, 9781839698873, 9781839698897 Databases OER Perpustakaan Universitas Airlangga oer.unair.ac.id Perpustakaan Unair Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/e90055b8097a2392495fe2b1731d6e8a.jpg 47b7b1ad49014bda06da98332fdf9a85 http://www.oer.unair.ac.id/files/original/f139f87b5424dbf11ae5fc1ed6396196.pdf bf6faf903835293f5e69e4be19c4dfe3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Social Robotics and the Good Life : The Normative Side of Forming Emotional Bonds With Robots Subject The topic of the resource Philosophy Description An account of the resource Robots as social companions in close proximity to humans have a strong potential of becoming more and more prevalent in the coming years, especially in the realms of elder day care, child rearing, and education. As human beings, we have the fascinating ability to emotionally bond with various counterparts, not exclusively with other human beings, but also with animals, plants, and sometimes even objects. Therefore, we need to answer the fundamental ethical questions that concern human-robot-interactions per se, and we need to address how we conceive of »good lives«, as more and more of the aspects of our daily lives will be interwoven with social robots. Creator An entity primarily responsible for making the resource Edited by: Janina Loh and Wulf Loh Source A related resource from which the described resource is derived https://www.degruyter.com/document/doi/10.1515/9783839462652/html Publisher An entity responsible for making the resource available De Gruyter Date A point or period of time associated with an event in the lifecycle of the resource 2022 Contributor An entity responsible for making contributions to the resource Prasetyo Adi Nugroho Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context https://doi.org/10.1515/9783839462652 ISBN: 9783839462652 OER Perpustakaan Universitas Airlangga robotics http://www.oer.unair.ac.id/files/original/2ac239100833c720aeef86ac00fd91e2.jpg e253492582a10cb6fc83f10fce392172 http://www.oer.unair.ac.id/files/original/55b30e788b73091311fb2bd93f362a6e.pdf 41ba8463c7bdabb0faa7fa9f379c7f84 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource New Digital Work : Digital Sovereignty at the Workplace Subject The topic of the resource Artificial Intelligence Description An account of the resource This open access book will give insights into global issues of work and work systems design from a wide range of perspectives. Topics like the impact of AI in the workplace as well as design for digital sovereignty at the workplace or foresight processes for digital work are covered. Practical cases, empirical results and theoretical considerations are not only taken from Germany and Europe, but also from Southeast Asia, South Africa, Middle America, and Australia. The book intends to expand the so far national view on the aspects of digital work (e.g. like in Ernst Hartmann’s immensely successful work “Zukunft der Arbeit in Industrie 4.0”) into an international context – thus showing not only common challenges, but also offering suggestions, best practice examples or thoughts from different global regions. Creator An entity primarily responsible for making the resource Alexandra Shajek, Ernst Andreas Hartmann Publisher An entity responsible for making the resource available Springer Cham Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource Amalia TR Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Book Identifier An unambiguous reference to the resource within a given context https://doi.org/10.1007/978-3-031-26490-0 Artificial Intelligence Industrial and Production Engineering lib.unair.ac.id OER Perpustakaan Universitas Airlangga Perpustakaan Universitas Airlangga unair.ac.id http://www.oer.unair.ac.id/files/original/03b42d59cf3788d6e50a8e1dbbd25094.jpg 376789edaec2d1f92fe21362797d4441 http://www.oer.unair.ac.id/files/original/8d2640f975e3c68a27e734f2eec2988a.pdf d53a707c5a4f2906af9cb25dbc5a5484 http://www.oer.unair.ac.id/files/original/7988dcf9baa8d65d985950d8f031d751.pdf ac9c95b19fac7345073339e312829703 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Science for Wind Energy Description An account of the resource Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/87420 Publisher An entity responsible for making the resource available Taylor & Francis https://taylorandfrancis.com/ Date A point or period of time associated with an event in the lifecycle of the resource 2020 Contributor An entity responsible for making contributions to the resource Upload by Nurma Harumiaty Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI 10.1201/9780429490972 ISBN 9781138590526, 9780429956492, 9780429956508, 9780367729097, 9780429490972, 9780429956515 Subject The topic of the resource Artificial intelligence Databases Environmental science, engineering & technology Alternative & renewable energy sources & technology Probability & statistics Creator An entity primarily responsible for making the resource Ding, Yu http://www.oer.unair.ac.id/files/original/47c3a0a8a157b00f449e9773dde3c34b.jpg c3af44f3a0cbce06a20df428ab46b78d http://www.oer.unair.ac.id/files/original/aa06bbfa0c1dd1d28185d98545dc3a5e.pdf d9c11198a0a19db3b3f282ac4a17c48e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Metalearning Applications to Automated Machine Learning and Data Mining Subject The topic of the resource Artificial Intelligence, Data Mining and Knowledge Discovery, Machine Learning Description An account of the resource This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. As one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, AutoML is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. Creator An entity primarily responsible for making the resource Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren Source A related resource from which the described resource is derived https://link.springer.com/book/10.1007/978-3-030-67024-5 Publisher An entity responsible for making the resource available Springer Cham Date A point or period of time associated with an event in the lifecycle of the resource 2022 Contributor An entity responsible for making contributions to the resource Novita Rights Information about rights held in and over the resource The Editor(s) (if applicable) and The Author(s) 2022 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context https://doi.org/10.1007/978-3-030-67024-5 http://www.oer.unair.ac.id/files/original/d381ea750c5a2b7880d81c2f8ec73066.jpg ff27bb78d632fd611d85b38473031f7d http://www.oer.unair.ac.id/files/original/388c6c156b41bdaa6282acb74aa86c76.pdf 989e8a64f18bc8fc2642521d5b9f929d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Hybrid Face: Paradoxes of the Visage in the Digital Era Subject The topic of the resource Arts, Communication Studies, Humanities, Social Sciences Description An account of the resource This original and interdisciplinary volume explores the contemporary semiotic dimensions of the face from both scientific and sociocultural perspectives, putting forward several traditions, aspects, and signs of the human utopia of creating a hybrid face. The book semiotically delves into the multifaceted realm of the digital face, exploring its biological and social functions, the concept of masks, the impact of COVID-19, AI systems, digital portraiture, symbolic faces in films, viral communication, alien depictions, personhood in video games, online intimacy, and digital memorials. The human face is increasingly living a life that is not only that of the biological body but also that of its digital avatar, spread through a myriad of new channels and transformable through filters, post-productions, digital cosmetics, all the way to the creation of deepfakes. The digital face expresses new and largely unknown meanings, which this book explores and analyzes through an interdisciplinary but systematic approach. The volume will interest researchers, scholars, and advanced students who are interested in digital humanities, communication studies, semiotics, visual studies, visual anthropology, cultural studies, and, broadly speaking, innovative approaches about the meaning of the face in present-day digital societies. Creator An entity primarily responsible for making the resource Massimo Leone (Editor) Source A related resource from which the described resource is derived https://www.taylorfrancis.com/books/oa-edit/10.4324/9781003380047/hybrid-face-massimo-leone?context=ubx&refId=cae13cfd-303d-4406-b8a7-cf6ec7ac3795 Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 12 December 2023 Contributor An entity responsible for making contributions to the resource Guruh Haris RAPUTRA Rights Information about rights held in and over the resource Creative Commons, CC BY-NC-ND Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context https://doi.org/10.4324/9781003380047 Digital Era Hybrid http://www.oer.unair.ac.id/files/original/c48e9e83be595b2a76403a27c37f9368.jpg fa6ebd8586e5b2879c0b4f72a331865f http://www.oer.unair.ac.id/files/original/83764279e9a357cd93f5488b5977349e.pdf 1af2d47418753b148d5beaccf56c02c6 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Trends and Challenges in Robotic Applications Subject The topic of the resource Robotic Description An account of the resource Research conducted on robotic applications has grown significantly in the last decade, and today, robotic systems are used for a variety of purposes. To achieve general application of robots, researchers have attempted to study various methods and algorithms in order to properly use robotic systems in many real-life scenarios. Currently, many types of robot platforms are used in various applications, for example dual-arm robots, parallel robots, mobile robots, humanoid robots, aerial robots, underwater robots, and micro/nano robots. In addition, some theoretical tools are specifically used to get robot performance right, for example machine learning, artificial intelligence, multi-agent systems, and control and planning theory.The purpose of this reprint is to demonstrate the current state of robotic applications. In particular, in addition to introducing new theories and methods, this reprint is specifically focused on the application of robotic systems in real-life situations. Thus, the presentation of experimental results proves the feasibility and usefulness of the robotic system in practical cases. Of course, this reprint does not intend to demonstrate in depth all the robotic applications that exist today, but rather to provide an overview of them, thereby revealing the high level of activity in this field. This reprint contains the Editorial, along with a total of 30 contributions from countries around the world, discussing various robotic applications.This reprint is specifically focused on the application of robotic systems in real-life situations. Thus, the presentation of experimental results proves the feasibility and usefulness of the robotic system in practical cases. Of course, this reprint does not intend to demonstrate in depth all the robotic applications that exist today, but rather to provide an overview of them, thereby revealing the high level of activity in this field. This reprint contains the Editorial, along with a total of 30 contributions from countries around the world, discussing various robotic applications. This reprint is specifically focused on the application of robotic systems in real-life situations.Thus, the presentation of experimental results proves the feasibility and usefulness of the robotic system in practical cases. Of course, this reprint does not intend to demonstrate in depth all the robotic applications that exist today, but rather to provide an overview of them, thereby revealing the high level of activity in this field. This reprint contains the Editorial, along with a total of 30 contributions from countries around the world, discussing various robotic applications. This reprint does not intend to demonstrate in depth all the robotic applications that exist today, but rather to provide an overview of them, thereby demonstrating the high level of activity in this field.This reprint contains the Editorial, along with a total of 30 contributions from countries around the world, discussing various robotic applications. This reprint does not intend to demonstrate in depth all the robotic applications that exist today, but rather to provide an overview of them, thereby demonstrating the high level of activity in this field. This reprint contains the Editorial, along with a total of 30 contributions from countries around the world, discussing various robotic applications. Creator An entity primarily responsible for making the resource Gracia, Luis (editor) Perez-Vidal, Carlos (editors) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/113962 Publisher An entity responsible for making the resource available MDPI - Multidisciplinary Digital Publishing Institute Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource Dewi Puspitasari Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/4.0/ Relation A related resource https://mdpi.com/books/pdfview/book/7806 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI 10.3390/buku978-3-0365-8635-9 ISBN 9783036586342, 9783036586359 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Basel http://www.oer.unair.ac.id/files/original/4b1e752c7824364e24015e2fa8f99561.jpg f829e37e3a7c4bb069b2724020cec1ec http://www.oer.unair.ac.id/files/original/90cc3beb228f176b61fa94081d1c1c2b.pdf cd92feb02c6d4991f1f2c7fc41ee018d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Data in Context: Legal, Social and Technological Insights Subject The topic of the resource Library & information sciences Description An account of the resource privacy; data protection; data mining; predictive analytics Creator An entity primarily responsible for making the resource Hoeren, Thomas (editor) Kolany-Raiser, Barbara (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/39488 Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2017 Contributor An entity responsible for making contributions to the resource Guruh Haris Raputra Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI 10.1007/978-3-319-62461-7 Data Mining data protection http://www.oer.unair.ac.id/files/original/8c66fa58dc10f554469d4665f6808230.jpg 829972d2489a1a4843f77201418751c7 http://www.oer.unair.ac.id/files/original/c1637d69837fd38a2aeb8afb1f18d618.pdf bd0fa833ca32676d1e07de6f3e5753c2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource HPC, Big Data, and AI Convergence Towards Exascale Challenge and Vision Subject The topic of the resource Big data Description An account of the resource Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing Creator An entity primarily responsible for making the resource https://directory.doabooks.org/handle/20.500.12854/75241 Publisher An entity responsible for making the resource available Taylor & Francis Date A point or period of time associated with an event in the lifecycle of the resource 2022 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Text Identifier An unambiguous reference to the resource within a given context 9781032009841