48 10 3873 http://www.oer.unair.ac.id/files/original/9205185b522662126eccc8fcbf63e800.jpg cf099c5937aab2efc8358fd76898b04f http://www.oer.unair.ac.id/files/original/564ea66d2c46f60fef0c7512a2245347.pdf be2adc2faded3503235661405cc8639e 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 400 Language 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 Computational Cognitive Modeling and Linguistic Theory Subject The topic of the resource Philosophy of language Psycholinguistics Semantics, discourse analysis, etc Description An account of the resource This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson’s ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) Creator An entity primarily responsible for making the resource Brasoveanu, Adrian Dotlačil, Jakub Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/29320 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 Contributor An entity responsible for making contributions to the resource Wahyuni 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 10.1007/978-3-030-31846-8 http://www.oer.unair.ac.id/files/original/c198cc12517023d13a05579898b77364.jpg 477a6cca693246b1f7dceb93f2f976f9 http://www.oer.unair.ac.id/files/original/b92265737bbbb2e18ac5588eff34b245.pdf 199562023a0cfb210e1e3165f7bf72fe 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 610 Medicine and health 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 Body and Spirit in the Middle Ages Literature, Philosophy, Medicine Subject The topic of the resource Medicine Description An account of the resource A crucial question throughout the Middle Ages, the relationship between body and spirit cannot be understood without an interdisciplinary approach – combining literature, philosophy and medicine. Gathering contributions by leading international scholars from these disciplines, the collected volume explores themes such as lovesickness, the five senses, memory and passions, in order to shed new light on the complex nature of the medieval Self. Creator An entity primarily responsible for making the resource Gubbini, Gaia (editor) Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/46650 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 2020 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-nc-nd/4.0 Relation A related resource Gerson, De canticis, II, 2, 15, 410–411; sulla figura e sul ruolo di Maria nella dottrina gersoniana del canto del cuore, cf. Fabre, La doctrine du chant du coeur de Jean Gerson, 185–203. 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 10.1515/9783110615937 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Boston http://www.oer.unair.ac.id/files/original/7be4d2e7082a6827299fa204bcd6a429.jpg 16e564135b6c50e3e81381461d8454dd http://www.oer.unair.ac.id/files/original/eb251db0986476163e4d0728de660e52.pdf 48d9f62601fcf163e927971b56e20399 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 610 Medicine and health 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 Adipose-Derived Stromal/Stem Cells Subject The topic of the resource Stem Cell Description An account of the resource Adipose tissue is a rich, ubiquitous, and easily accessible source for multipotent mesenchymal stromal/stem cells (MSCs), so-called adipose-derived stromal/stem cells (ASCs). Primary isolated ASCs are a heterogeneous preparation consisting of several subpopulations of stromal/stem and precursor cells. Donor-specific differences in ASC isolations and the lack of culture standardization hinder the comparison of results from different studies. Nevertheless, ASCs are already being used in different in vivo models and clinical trials to investigate their ability to improve tissue and organ regeneration. Many questions concerning their counterparts and biology in situ, their differentiation potential in vitro and in vivo, and the mechanisms of regeneration (paracrine effects, including regeneration-promoting factors and extracellular vesicles, differentiation, and immunomodulation) are not completely understood or remain unanswered. This Special Issue covers research articles investigating various adipose tissues as a source for ASC isolation, specific cultures methods to enhance proliferation or viability, and the differentiation capacity. Furthermore, other studies highlight aspects of various diseases, the immunosuppressive potential of ASCs and their derivates, or the in vivo tracking of transplanted ASCs. This edition is complemented by a review that summarizes the current knowledge of spheroid culture system methods and applications for mesenchymal stem cells. Creator An entity primarily responsible for making the resource Baer, Patrick C. (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/69246 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 Dewi Puspitasari 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 10.3390/books978-3-03943-283-7 ISBN 9783039432820, 9783039432837 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/47e032f73bfd333e02d52e84ec6fe44d.jpg 220edc6a1f6692a4e83a09ade7260d57 http://www.oer.unair.ac.id/files/original/31463fb94f9bc178c016a61a6a30e7c1.pdf f4621b25f991abf80f796a4e9056ff0a 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 610 Medicine and health 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 Stem Cell Research on Cardiology Subject The topic of the resource Stem cells Description An account of the resource Even today, cardiovascular diseases are the main cause of death worldwide, and therapeutic approaches are very restricted. Due to the limited regenerative capabilities of terminally differentiated cardiomyocytes post injury, new strategies to treat cardiac patients are urgently needed. Post myocardial injury, resident fibroblasts begin to generate the extracellular matrix, resulting in fibrosis, and finally, cardiac failure. Recently, preclinical investigations and clinical trials raised hope in stem cell-based approaches, to be an effective therapy option for these diseases. So far, several types of stem cells have been identified to be promising candidates to be applied for treatment: cardiac progenitor cells, bone marrow derived stem cells, embryonic and induced pluripotent stem cells, as well as their descendants. Furthermore, the innovative techniques of direct cardiac reprogramming of cells offered promising options for cardiovascular research, in vitro and in vivo. Hereby, the investigation of underlying and associated mechanisms triggering the therapeutic effects of stem cell application is of particular importance to improve approaches for heart patients. This Special Issue of Cells provides the latest update in the rapidly developing field of regenerative medicine in cardiology. Creator An entity primarily responsible for making the resource David, Robert (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/69152 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 Dewi Puspitasari Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/4.0/ Relation A related resource Barile, L.; Lionetti, V.; Cervio, E.; Matteucci, M.; Gherghiceanu, M.; Popescu, L.M.; Torre, T.; Siclari, F.; Moccetti, T.; Vassalli, G. Extracellular vesicles from human cardiac progenitor cells inhibit cardiomyocyte apoptosis and improve cardiac function after myocardial infarction. Cardiovasc. Res. 2014, 103, 530–541. [CrossRef] [PubMed] 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/books978-3-03943-193-9 ISBN 9783039431922, 9783039431939 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/513a54ef8266d33e71ad414384bfa7a3.jpg dd772c5a91a8b3d870d11c282a4af813 http://www.oer.unair.ac.id/files/original/e5ef130472724d08b709981d50fa5d48.pdf 087c2cd1031b78317b516a8d31921bba 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 Elements of Robotics Subject The topic of the resource Robotics Technology Description An account of the resource This book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations. Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic algorithms: simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced study of robotics. The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robot is defined that uses elements common to most educational robots: differential drive with two motors, proximity sensors and some method of displaying output to the user. The theory is supplemented with over 100 activities, most of which can be successfully implemented using inexpensive educational robots. Activities that require more computation can be programmed on a computer. Archives are available with suggested implementations for the Thymio robot and standalone programs in Python. Creator An entity primarily responsible for making the resource Ben-Ari, Mordechai. Mondada, Francesco Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/60890 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 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://doi.org/10.1007/978-3-319-62533-1 OER Perpustakaan Universitas Airlangga robotics Technology & Engineering http://www.oer.unair.ac.id/files/original/823c40d2686f44156a6991f821bf6104.jpg 8464999f5b246edef3dfee104bc583d3 http://www.oer.unair.ac.id/files/original/2a74d28abf3be83c9cbc6e174235dcdb.pdf 4ee66fc7ea782eb65f2cde2a8b40812a 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 Robotics, AI, and Humanity: Science, Ethics, and Policy Subject The topic of the resource Robotics Artificial intelligence Engineering Cognitive psychology Description An account of the resource This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been considerable attention devoted to robotics/AI applications in each of these domains, a fuller picture of their connections and the possible consequences for our shared humanity seems needed. This volume covers multidisciplinary research, examines current research frontiers in AI/robotics and likely impacts on societal well-being, human – robot relationships, as well as the opportunities and risks for sustainable development and peace. The attendant ethical and religious dimensions of these technologies are addressed and implications for regulatory policies on the use and future development of AI/robotics technologies are elaborated. Creator An entity primarily responsible for making the resource von Braun, Joachim (editor) S. Archer, Margaret (editor) Sánchez Sorondo, Marcelo (editor) Source A related resource from which the described resource is derived https://library.oapen.org/bitstream/20.500.12657/47279/1/9783030541736.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 2021 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 10.1007/978-3-030-54173-6 Artificial Intelligence Cognitive Psychology OER Perpustakaan Universitas Airlangga robotics http://www.oer.unair.ac.id/files/original/bc773b676932b411e9f673dc46af3fa2.jpg 5cb197b9cd33b1c27c8dbc755508648d http://www.oer.unair.ac.id/files/original/8316d4b7a99eaa4b012089fbeb112fb4.pdf 75f0199faed6816fd53b82117f428325 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 Our Nanotechnology Future Subject The topic of the resource Science Technology Nanotechnology Description An account of the resource This book explores nanotechnology, a rapidly evolving and growing field with applications in a large number of areas. The concepts and physics are highlighted through topics such as nanoscience, quantum effects, nanostructures, and new forms of carbon. Applications and potential health and safety implications of nanomaterials are discussed for healthcare, food production, electronics, defence and more. Accessible and timely, this introduction to nanotechnology will interest students, teachers, politicians, and everyone else eager to learn more about this dynamic field. Creator An entity primarily responsible for making the resource Natowitz, Joseph Ngô, Christian Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/49415 Publisher An entity responsible for making the resource available Amsterdam University Press Date A point or period of time associated with an event in the lifecycle of the resource 2017 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 Book Identifier An unambiguous reference to the resource within a given context 10.5117/9789462984127 Nanotechnology Engineering OER Perpustakaan Universitas Airlangga technology http://www.oer.unair.ac.id/files/original/fdee125b19fb674fb3ec61f2b246bc5f.jpg 90779a127ce8b093f17099a606c42baf http://www.oer.unair.ac.id/files/original/521a710ab5a69cadaaa8afb96d9bdf27.pdf b6f20f7092211a431c93b2b8dc39d943 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 Advanced Biometrics with Deep Learning Subject The topic of the resource Technology Engineering Description An account of the resource Biometrics, such as fingerprint, iris, face, hand print, hand vein, speech and gait recognition, etc., as a means of identity management have become commonplace nowadays for various applications. Biometric systems follow a typical pipeline, that is composed of separate preprocessing, feature extraction and classification. Deep learning as a data-driven representation learning approach has been shown to be a promising alternative to conventional data-agnostic and handcrafted pre-processing and feature extraction for biometric systems. Furthermore, deep learning offers an end-to-end learning paradigm to unify preprocessing, feature extraction, and recognition, based solely on biometric data. This Special Issue has collected 12 high-quality, state-of-the-art research papers that deal with challenging issues in advanced biometric systems based on deep learning. The 12 papers can be divided into 4 categories according to biometric modality; namely, face biometrics, medical electronic signals (EEG and ECG), voice print, and others. Creator An entity primarily responsible for making the resource Jin, Andrew (editor) Leng, Lu (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/68869 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 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 10.3390/books978-3-03936-699-6 http://www.oer.unair.ac.id/files/original/8328a21ba21589fb6221baed3ca8cec2.jpg e44125bf17b9092d2a32dc781d805c46 http://www.oer.unair.ac.id/files/original/ab13bd88c187685c4913ea5da250dbda.pdf 0656a01a0435e4d06959cf9986cb4ab2 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 Deep Learning for Facial Informatics Subject The topic of the resource Engineering Technology Description An account of the resource Deep learning has been revolutionizing many fields in computer vision, and facial informatics is one of the major fields. Novel approaches and performance breakthroughs are often reported on existing benchmarks. As the performances on existing benchmarks are close to saturation, larger and more challenging databases are being made and considered as new benchmarks, further pushing the advancement of the technologies. Considering face recognition, for example, the VGG-Face2 and Dual-Agent GAN report nearly perfect and better-than-human performances on the IARPA Janus Benchmark A (IJB-A) benchmark. More challenging benchmarks, e.g., the IARPA Janus Benchmark A (IJB-C), QMUL-SurvFace and MegaFace, are accepted as new standards for evaluating the performance of a new approach. Such an evolution is also seen in other branches of face informatics. In this Special Issue, we have selected the papers that report the latest progresses made in the following topics: 1. Face liveness detection 2. Emotion classification 3. Facial age estimation 4. Facial landmark detection We are hoping that this Special Issue will be beneficial to all fields of facial informatics. Creator An entity primarily responsible for making the resource Hsu, Gee-Sern Jison (editor) Timofte, Radu (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/69112 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 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 10.3390/books978-3-03936-965-2 Deep Learning OER Perpustakaan Universitas Airlangga Technology & Engineering http://www.oer.unair.ac.id/files/original/6d79811dbff263f3eea2a7b5ed2e7156.jpg e60f54f3b41e07f34dd0ae407c36d8f8 http://www.oer.unair.ac.id/files/original/a93787accba34fb6147b436eee5a4028.pdf 9393e50924892db154fd35bff628d3ad 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 Deep Learning Applications with Practical Measured Results in Electronics Industries Subject The topic of the resource Engineering Description An account of the resource This book collects 14 articles from the Special Issue entitled “Deep Learning Applications with Practical Measured Results in Electronics Industries” of Electronics. Topics covered in this Issue include four main parts: (1) environmental information analyses and predictions, (2) unmanned aerial vehicle (UAV) and object tracking applications, (3) measurement and denoising techniques, and (4) recommendation systems and education systems. These authors used and improved deep learning techniques (e.g., ResNet (deep residual network), Faster-RCNN (faster regions with convolutional neural network), LSTM (long short term memory), ConvLSTM (convolutional LSTM), GAN (generative adversarial network), etc.) to analyze and denoise measured data in a variety of applications and services (e.g., wind speed prediction, air quality prediction, underground mine applications, neural audio caption, etc.). Several practical experiments were conducted, and the results indicate that the performance of the presented deep learning methods is improved compared with the performance of conventional machine learning methods. Creator An entity primarily responsible for making the resource Kung, Hsu-Yang Chen, Chi-Hua Horng, Mong-Fong Hwang, Feng-Jang Source A related resource from which the described resource is derived https://mdpi.com/books/pdfview/book/2296 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 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 Book Identifier An unambiguous reference to the resource within a given context 10.3390/books978-3-03928-864-9 Deep Learning OER Perpustakaan Universitas Airlangga Technology & Engineering