1 10 25 http://www.oer.unair.ac.id/files/original/f7bfaf02968bfceed8f501d0590f2caf.jpg ee9e1ce9e3110a5cc7f828f95625c06e http://www.oer.unair.ac.id/files/original/18c3fc37d0b2e8a5a7b413601d497cfa.pdf 6479e1993766961a60719f0318ee6e0c 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 A Practical Guide to TPM 2.0: Using the New Trusted Platform Module in the New Age of Security Subject The topic of the resource Computer Science Creator An entity primarily responsible for making the resource Arthur, Will Challener, David Goldman, Kenneth Source A related resource from which the described resource is derived http://www.springernature.com/oabooks 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 2015 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 10.1007/978-1-4302-6584-9 Fakultas Sains dan Teknologi TPM 2.0 http://www.oer.unair.ac.id/files/original/d6aa38566dae1c1e88c6ab82e6d40d99.jpg e15baa2295a9478d92aacd2c3e65c566 http://www.oer.unair.ac.id/files/original/4d5f50188e5c4e4edfc6496d7bb8106a.pdf 8bd577f9ebf4528dbc1150c3efe40308 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 Machine Learning for Cyber Physical Systems Subject The topic of the resource Electrical engineering Computer networks--Access control Telecommunications engineers Description An account of the resource This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. 130p Creator An entity primarily responsible for making the resource Beyerer, Jürgen Maier, Alexander Niggemann, Oliver Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/46102 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 2021 Contributor An entity responsible for making contributions to the resource Ani 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 Proceeding Identifier An unambiguous reference to the resource within a given context 10.1007/978-3-662-62746-4 Electrical engineering OER Perpustakaan Universitas Airlangga Proceedins http://www.oer.unair.ac.id/files/original/c0a6e81f295de427c5ab506455e3eda7.jpg 1d4414ba0bdba945f8c384c3d028a8ae http://www.oer.unair.ac.id/files/original/231e2afd1b96e0ee5ba8834195cba3b6.pdf 02b13606e9b1d837cf07ea6b37bd2d8b 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 User Satisfaction with Personalised Internet Applications Subject The topic of the resource Information technology Satisfaction Description An account of the resource The study focuses on user satisfaction with websites and personalised internet applications in particular. The abundance of information on the web is increasing more and more. Therefore, the significance of websites targeting the users’ preferences, like personalised Internet applications, is rising. The aim of this study was to find out which factors determine user satisfaction with personalised internet applications. Factors like the usefulness of the information or trust towards how personal information is handled were considered. A large-scale user survey evaluating three internet applications (from the travel, e-learning and real estate domains) was conducted. Expert opinions were collected to complement the results and provide insights from users’ and experts’ points of views. Creator An entity primarily responsible for making the resource Bauernfeind, Ulrike Source A related resource from which the described resource is derived http://library.oapen.org/handle/20.500.12657/26803 Publisher An entity responsible for making the resource available Peter Lang International Academic Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2018 Contributor An entity responsible for making contributions to the resource Ani Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/4.0/legalcode 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 10.3726/b14001 Internet Applications OER Perpustakaan Universitas Airlangga oer.unair.ac.id Satisfaction http://www.oer.unair.ac.id/files/original/03de553784ac860d61869cbe9de6efc5.jpg 3bcaedfec9db3539ddef9e8ab3c6656a http://www.oer.unair.ac.id/files/original/a41802d0be83428551bd184df43863fc.pdf ed2e626d6b970db9965197d1312ae3f4 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 Representation Learning for Natural Language Processing Subject The topic of the resource Computational linguistics Data mining Artificial intelligence Natural language & machine translation Description An account of the resource This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. Creator An entity primarily responsible for making the resource Liu, Zhiyuan Lin, Yankai Sun, Maosong Source A related resource from which the described resource is derived https://library.oapen.org/bitstream/20.500.12657/39974/1/2020_Book_RepresentationLearningForNatur.pdf 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 2020 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 Book Identifier An unambiguous reference to the resource within a given context 10.1007/978-981-15-5573-2 Computational Linguistics Data Mining Natural Language OER Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/b8216dcb30545ec9704ab4920ef9fc66.jpg bcba5bd1f941e1dc1a14f36a49225ba2 http://www.oer.unair.ac.id/files/original/98b3c1083324d3da90832d3288931ea9.pdf 1724d11b24c3673b930f3e14faa65b70 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 Introduction to Data Science and Machine Learning Subject The topic of the resource Machine learning Data mining Description An account of the resource “Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications. Source A related resource from which the described resource is derived https://mts.intechopen.com/storage/books/7664/authors_book/authors_book.pdf Publisher An entity responsible for making the resource available IntechOpen 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 Sud, Keshav (editor) Erdogmus, Pakize (editor) Kadry, Seifedine (editor) 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 Book Identifier An unambiguous reference to the resource within a given context 10.5772/intechopen.77469 Data Mining Machine learning OER Perpustakaan Universitas Airlangga 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 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/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/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/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