49 10 3873 http://www.oer.unair.ac.id/files/original/5557eb833720d03b9afe207c0556242a.jpg ca7c47bbb72179dcb36acbe1b10ee69c http://www.oer.unair.ac.id/files/original/b687dd6105d9b9f46aac1aeba7d262b6.pdf 64584b09418eadde2813c48853cece77 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 600 Technology 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 Advances and Applications in Deep Learning Subject The topic of the resource Artificial intelligence Description An account of the resource Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike. Creator An entity primarily responsible for making the resource Aceves-Fernandez, Antonio (editor) Marco (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/67783 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 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.87786 Deep Learning OER Perpustakaan Universitas Airlangga Technology & Engineering http://www.oer.unair.ac.id/files/original/74e3b935a921352a64d76573e7d10c1d.jpg 0234fc9d0e08758c0487641eb287c7a2 http://www.oer.unair.ac.id/files/original/de2cefd6252d01cb7693db240122c42b.pdf 98b88b03ba4dbd96040a4396f9994456 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 600 Technology 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 Innovation in Global Green Technologies 2020 Subject The topic of the resource Environmental monitoring Green technology Technology Description An account of the resource In the last fifty years, the Earth has experienced rapid changes in climate, increasingly severe droughts, rising seawater levels, seawater acidification, increased depletion of groundwater reserves, and global rise of temperature. Green technologies for recycling waste, particularly electronic waste, which is increasing at an alarming rate, may be a potential solution to environmental pollution. Divided into three sections, this book presents comprehensive information on green technologies. Section 1 presents innovations in green electronic technologies, Section 2 discusses recycling and waste management, and Section 3 discusses innovation and economics in global green technologies. Creator An entity primarily responsible for making the resource Sabban, Albert (editor) Source A related resource from which the described resource is derived https://mts.intechopen.com/storage/books/9271/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 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.83271 Green Technologies OER Perpustakaan Universitas Airlangga Technology & Engineering http://www.oer.unair.ac.id/files/original/5572a043c4addf3834f0664defa94e20.jpg 0234fc9d0e08758c0487641eb287c7a2 http://www.oer.unair.ac.id/files/original/40b9aca2bcf633794a8b3acba3115c44.pdf 98b88b03ba4dbd96040a4396f9994456 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 600 Technology 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 Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings Subject The topic of the resource Language Education Technology Description An account of the resource semantics; artificial intelligence; natural language processing systems; natural language processing; NLP; machine learning; social networking; named entities; support vector machines; SVM Source A related resource from which the described resource is derived https://library.oapen.org/bitstream/20.500.12657/28136/1/1001858.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 2018 Contributor An entity responsible for making contributions to the resource Rehm, Georg (editor) Declerck, Thierry (editor) 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 Book Identifier An unambiguous reference to the resource within a given context 10.1007/978-3-319-73706-5 Artificial Intelligence OER Perpustakaan Universitas Airlangga Technology & Engineering 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/a2c670b4587eb3ef13ea18fd49127b29.jpg a923b085d9b505e858bae31cfb8be50e http://www.oer.unair.ac.id/files/original/65a77e2b974ff21c0c4b84fd39b460a3.PDF 477f939897780f9efba581b00df08107 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 With Radiation Oncology Big Data Subject The topic of the resource Big data Machine learning Artificial intelligence Description An account of the resource Radiation oncology is uniquely positioned to harness the power of big data as vast amounts of data are generated at an unprecedented pace for individual patients in imaging studies and radiation treatments worldwide. The big data encountered in the radiotherapy clinic may include patient demographics stored in the electronic medical record (EMR) systems, plan settings and dose volumetric information of the tumors and normal tissues generated by treatment planning systems (TPS), anatomical and functional information from diagnostic and therapeutic imaging modalities (e.g., CT, PET, MRI and kVCBCT) stored in picture archiving and communication systems (PACS), as well as the genomics, proteomics and metabolomics information derived from blood and tissue specimens. Yet, the great potential of big data in radiation oncology has not been fully exploited for the benefits of cancer patients due to a variety of technical hurdles and hardware limitations. With recent development in computer technology, there have been increasing and promising applications of machine learning algorithms involving the big data in radiation oncology. This research topic is intended to present novel technological breakthroughs and state-of-the-art developments in machine learning and data mining in radiation oncology in recent years. Creator An entity primarily responsible for making the resource Lei Xing Issam El Naqa Jun Deng Source A related resource from which the described resource is derived https://www.frontiersin.org/research-topics/6126/machine-learning-with-radiation-oncology-big-data Publisher An entity responsible for making the resource available Frontiers Media SA Date A point or period of time associated with an event in the lifecycle of the resource 2019 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 Book Identifier An unambiguous reference to the resource within a given context 10.3389/978-2-88945-730-4 Artificial Intelligence Data Mining Machine learning http://www.oer.unair.ac.id/files/original/b22e5aa7573032251a5d1e1ed2f48dfa.jpg 47b30f2e6ef0ce516d381e0765734fb8 http://www.oer.unair.ac.id/files/original/44c3832805bc046f9c5dc0cb5f3fc8dd.pdf cfdd81bb8f8033d536685da750a1697c 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 Media and Machine Learning Subject The topic of the resource Machine learning Description An account of the resource Social media has transformed society and the way people interact with each other. The volume and speed in which new content is being generated surpasses the processing capacity of machine learning systems. Analyzing such data demands new approaches coming from natural language processing, text mining, sentiment analysis, etc to understand and resolve the arising challenges. There is a need to develop robust and adaptable systems to tackle these open issues in real time, as well as to provide a meaningful summarization and visualization to the end users. This book provides the reader with a comprehensive overview of the latest developments in social media and machine learning, addressing research innovations, applications, trends, and open challenges in this crucial area. Source A related resource from which the described resource is derived https://mts.intechopen.com/storage/books/8141/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 Cano, Alberto (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.78089 Machine learning OER Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/b0a56185f24eee71f22febeb2bd041d0.jpg f1fc76e70bb5e1555d3b9999f6e664a9 http://www.oer.unair.ac.id/files/original/037e40935b6a3b1826f3d7b0062b47d0.pdf bf51228cc2b8bcb93e0b4a389509135d 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 000 Computer Science, Knowledge & Systems Subject The topic of the resource Computer Science, Information & General Works Description An account of the resource Computer Science, Information & General Works 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 Symmetry-Adapted Machine Learning for Information Security Subject The topic of the resource Technology Description An account of the resource Symmetry-adapted machine learning has shown encouraging ability to mitigate the security risks in information and communication technology (ICT) systems. It is a subset of artificial intelligence (AI) that relies on the principles of processing future events by learning past events or historical data. The autonomous nature of symmetry-adapted machine learning supports effective data processing and analysis for security detection in ICT systems without the interference of human authorities. Many industries are developing machine-learning-adapted solutions to support security for smart hardware, distributed computing, and the cloud. In our Special Issue book, we focus on the deployment of symmetry-adapted machine learning for information security in various application areas. This security approach can support effective methods to handle the dynamic nature of security attacks by extraction and analysis of data to identify hidden patterns of data. The main topics of this Issue include malware classification, an intrusion detection system, image watermarking, color image watermarking, battlefield target aggregation behavior recognition model, IP camera, Internet of Things (IoT) security, service function chain, indoor positioning system, and crypto-analysis. Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/68858 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 2020 Contributor An entity responsible for making contributions to the resource Park, James (editor) 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 Book Identifier An unambiguous reference to the resource within a given context https://creativecommons.org/licenses/by/4.0/ Machine learning OER Perpustakaan Universitas Airlangga Technology & Engineering http://www.oer.unair.ac.id/files/original/3604bacbf6e8c056cc67876e4f8d86ab.jpg 28d7300da454fb8125fe84d1639206b1 http://www.oer.unair.ac.id/files/original/07de0025aa34a7fd8df7fc2b46c39e64.pdf f0ed2068112afb031924941837bdf3b1 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 600 Technology 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 Human-Inspired Balancing and Recovery Stepping for Humanoid Robots Subject The topic of the resource Machine Learning Humanoid Robotic Description An account of the resource Robustly maintaining balance on two legs is an important challenge for humanoid robots. The work presented in this book represents a contribution to this area. It investigates efficient methods for the decision-making from internal sensors about whether and where to step, several improvements to efficient whole-body postural balancing methods, and proposes and evaluates a novel method for efficient recovery step generation, leveraging human examples and simulation-based reinforcement learning. Creator An entity primarily responsible for making the resource Kaul, Lukas Sebastian Source A related resource from which the described resource is derived https://www.ksp.kit.edu/9783731509035 Publisher An entity responsible for making the resource available KIT Scientific Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2019 Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-sa/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 10.5445/KSP/1000091605 Humanoid Robotics Machine learning OER Perpustakaan Universitas Airlangga http://www.oer.unair.ac.id/files/original/363008d6ea6b408726a3efd3d9107135.jpg 3fe46b0de0fd096804421ce922fe630d http://www.oer.unair.ac.id/files/original/7ebbe017b47a474a1c746a1ec0a4b3c1.pdf 458a9a86b06412ef9713fc5667ba4bcd 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 Software Architectures for Humanoid Robotics Subject The topic of the resource Software architecture Robotics Description An account of the resource In the past few years humanoid robots have evolved at a rapid pace. Research has made impressive advancements on both mechatronics and cognitive capabilities, including learning, perception and control. At the same time the explosion of the market of mobile devices has led to a remarkable increase in the computational capabilities of embedded CPUs and has made available higher resolution sensors and inertial units. Research on humanoid robotics is attacking problems such as human-robot interaction, whole body control, object manipulation and tool use. These research efforts must be supported by an adequate software infrastructure which allows experimenting with new hardware and algorithms while at the same time reducing debugging time and maximizing code-reuse. The complexity of humanoid robots and their peculiar application domain require that further software engineering efforts are devoted to support the proper integration of diverse capabilities. While research in mechatronics, motor control, learning and perception receive wide visibility in in international conference and journals, software tools and software engineering know-how are rarely shared among groups working on different platforms. This Research Topic invites submissions describing efforts in software engineering in the broad field of humanoid robotics. Creator An entity primarily responsible for making the resource Fumio Kanehiro Natale, Lorenzo Vahrenkamp, Nikolaus Asfour, Tamim Source A related resource from which the described resource is derived https://www.frontiersin.org/research-topics/3948/software-architectures-for-humanoid-robotics Publisher An entity responsible for making the resource available Frontiers Media SA Date A point or period of time associated with an event in the lifecycle of the resource 2018 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 Book Identifier An unambiguous reference to the resource within a given context 10.3389/978-2-88945-590-4 Humanoid Robotics OER Perpustakaan Universitas Airlangga Software architectures http://www.oer.unair.ac.id/files/original/0493e5b0be5d6b974bd54a7c62f19006.jpg d96d8ec88423fca22646060076b87006 http://www.oer.unair.ac.id/files/original/84ef38492159941ee38f7eca91531f03.pdf 3e843d565ddc9d5c8d0ff81716b3a6b9 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 620 Engineering 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 Future of Humanoid Robots: Research and Applications Subject The topic of the resource Engineering Description An account of the resource This book provides state of the art scientific and engineering research findings and developments in the field of humanoid robotics and its applications. It is expected that humanoids will change the way we interact with machines, and will have the ability to blend perfectly into an environment already designed for humans. The book contains chapters that aim to discover the future abilities of humanoid robots by presenting a variety of integrated research in various scientific and engineering fields, such as locomotion, perception, adaptive behavior, human-robot interaction, neuroscience and machine learning. The book is designed to be accessible and practical, with an emphasis on useful information to those working in the fields of robotics, cognitive science, artificial intelligence, computational methods and other fields of science directly or indirectly related to the development and usage of future humanoid robots. The editor of the book has extensive R&D experience, patents, and publications in the area of humanoid robotics, and his experience is reflected in editing the content of the book. Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/65451 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 2012 Contributor An entity responsible for making contributions to the resource Zaier, Riadh (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 10.5772/1407 Engineering Research Humanoid Robotics OER Perpustakaan Universitas Airlangga