44 10 3873 http://www.oer.unair.ac.id/files/original/acb32db010005413a4c6951ffa87288d.jpg 491f4c19ed58dfd2ffb444a965ec9b40 http://www.oer.unair.ac.id/files/original/708df74fff85c2e38ab561f2e7c93073.pdf e9c8c9d25ac56017e74505cb2fa08e56 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 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 Artificial Intelligence in Healthcare: Current State and Future Perspectives Subject The topic of the resource Orthodontics -Treatment Description An account of the resource Artificial intelligence (AI), which is the simulation of human intelligence processes by machines, is having a growing impact on healthcare. Via AI, researchers can provide new approaches to merge, analyze, and process complex “big data” and gain more actionable insights, understanding, and knowledge at an individual and population level. Medical staff can be helped by AI-assisted clinical decision support (CDS), i.e., machine learning (ML) and deep learning (DL) models that analyze large medical datasets. They do this by summarizing radiology and pathology reports by means of natural language processing (NLP), automating repetitive but time-consuming tasks, and much more. Patients can talk to chatbots who have access to all medical knowledge in the world, including the patient’s medical history, and provide personalized advice. This Special Issue intends to show some examples of how AI impacts healthcare, with some discussion on potential future developments as well as challenges. Since this Special Issue contains papers from 2023 and 2024, the era of Generative AI (GenAI), naturally there are papers related to ChatGPT and chatbots. There are also papers on prediction modeling in primary care, polychronic conditions, and heart disease. Other papers focus on the classification of colon cancer and Alzheimer’s disease. Finally, this Special Issue also includes papers on orthodontic diagnosis and treatment planning, anxiety treatment, and explainable AI (XAI). Creator An entity primarily responsible for making the resource Hulsen, Tim (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/139234 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 2024 Contributor An entity responsible for making contributions to the resource Sulistiorini 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 Text Identifier An unambiguous reference to the resource within a given context DOI 10.3390/books978-3-7258-1083-3 cardiovascular disease care management interventions EEG signals histology treatment evaluation http://www.oer.unair.ac.id/files/original/453fa668b38588adba10c7c5b32f77b2.jpg cd39e289b82b30566b33b7da91001b10 http://www.oer.unair.ac.id/files/original/88be8da5baa7bdd7e879eb80c8a06b12.pdf 2be20906fe1ef2c0f99c2aa0f6c3ddc5 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 670 Manufacturing 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 Artificial Intelligence in Manufacturing : Enabling Intelligent, Flexible and Cost-Effective Production Through AI Subject The topic of the resource Communications Engineering, Description An account of the resource This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book. Creator An entity primarily responsible for making the resource John Soldatos Source A related resource from which the described resource is derived https://link.springer.com/book/10.1007/978-3-031-46452-2 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 2024 Rights Information about rights held in and over 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/10.1007/978-3-031-46452-2 Artificial Intelligence big data Communications Engineering lib.unair.ac.id Networks OER Perpustakaan Universitas Airlangga Perpustakaan Universitas Airlangga unair.ac.id http://www.oer.unair.ac.id/files/original/64778f2926a3bc5d9f245af567886791.jpg e350ef7f0956856a9ad0bec98f17e9b9 http://www.oer.unair.ac.id/files/original/9a2f26e52ba1313c73859696a3aeb5b9.pdf ec4f944b2c89e3a6ee7d5f70f6f81a8b 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 Artificial Intelligence in Oncology Drug Discovery and Development Subject The topic of the resource Artificial Intelligence Description An account of the resource There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence. Creator An entity primarily responsible for making the resource Cassidy, John W. (editor) Taylor, Belle (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/29768 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 dwi marina Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc/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:https://doi.org/10.5772/intechopen.88376 ISBN:9781789858983 Artificial Intelligence http://www.oer.unair.ac.id/files/original/cb82ebaf3e99f9d80a7f0bcf1e796fd9.jpg ffb037286f9fb4585151f18a457ff4b2 http://www.oer.unair.ac.id/files/original/6e5c27f5f9b3f792b113f57006f86e19.pdf a78a7d40bd5d95144424b6522385dca7 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 Artificial Intelligence in Oral Health Subject The topic of the resource Oral Health Description An account of the resource Artificial intelligence (AI), including deep learning and machine learning, is undergoing rapid development and has garnered substantial public attention in recent years. In particular, AI is positioned to become one of the most transformative technologies for medical applications and demonstrates great potential and useful properties for improving the analysis of various medical imaging datasets such as plain radiographs or three-dimensional imaging modalities. Several AI-based deep learning architectures have already been approved by the FDA and are being applied in clinical practice. In the dental field, the usefulness of AI has been assessed for the detection, classification, and segmentation of anatomical variables for orthodontic landmarks, dental caries, periodontal disease, and osteoporosis; however, these applications are still in very preliminary stages Creator An entity primarily responsible for making the resource Jae-Hong Lee (Ed.) Source A related resource from which the described resource is derived https://www.mdpi.com/books/book/6002-artificial-intelligence-in-oral-health 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 August 2022 Contributor An entity responsible for making contributions to the resource Dwi Prihastuti 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 ISBN 978-3-0365-5143-2 (PDF) dental dentistry OER Perpustakaan Universitas Airlangga Oral Health http://www.oer.unair.ac.id/files/original/93e6bdb6957d5fa9de643d358b85533a.jpg 5119f85f163519ff3052053c0082d762 http://www.oer.unair.ac.id/files/original/e3b6e94be4fbe95e10ed0718d0daa8f2.pdf 76a041bcd13095b5d12c94b2125cce6b 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 370 Education 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 Artificial Intelligence in the Capitalist University Academic Labour, Commodification, and Value Subject The topic of the resource Computer Science, Education, Politics & International Relations Description An account of the resource Using Marxist critique, this book explores manifestations of Artificial Intelligence (AI) in Higher Education and demonstrates how it contributes to the functioning and existence of the capitalist university. Challenging the idea that AI is a break from previous capitalist technologies, the book offers nuanced examination of the impacts of AI on the control and regulation of academic work and labour, on digital learning and remote teaching, and on the value of learning and knowledge. Applying a Marxist perspective, Preston argues that commodity fetishism, surveillance, and increasing productivity ushered in by the growth of AI, further alienates and exploits academic labour and commodifies learning and research. The text puts forward a solid theoretical framework and methodology for thinking about AI to inform critical and revolutionary pedagogies. Offering an impactful and timely analysis, this book provides a critical engagement and application of key Marxist concepts in the study of AI’s role in Higher Education. It will be of interest to those working or researching in Higher Education. Creator An entity primarily responsible for making the resource John Preston Source A related resource from which the described resource is derived https://www.taylorfrancis.com/books/oa-mono/10.4324/9781003081654/artificial-intelligence-capitalist-university-john-preston?context=ubx&refId=fb287d13-8220-42ad-88ab-d69677992a20 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 1 November 2021 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 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/10.4324/9781003081654 Academic Labour and Value Artificial Intelligence Capitalist University Commodification http://www.oer.unair.ac.id/files/original/aac66c9be3eea61c2db45bfce2eb646e.jpg 2be2a839fff36a43be4f7205afaf94bd http://www.oer.unair.ac.id/files/original/a0e4acd0d2c3ba73a0db99cf5986e435.pdf b5d853f563eccc6066562c5019c7996e 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 Artificial Intelligence Technology Subject The topic of the resource Artificial intelligence Description An account of the resource his open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of artificial intelligence technology. The book provides a detailed elaboration of the basic concepts of AI, machine learning, as well as other relevant topics, including deep learning, deep learning framework, Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and Huawei CLOUD Enterprise Intelligence application platform. Creator An entity primarily responsible for making the resource Huawei Technologies Co., Ltd. Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/93980 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 2023 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-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Identifier An unambiguous reference to the resource within a given context DOI 10.1007/978-981-19-2879-6 ISBN 9789811928796 Artificial Intelligence http://www.oer.unair.ac.id/files/original/df8fd8b5fb34ea7e6b3e271b19714f23.jpg 5fb6c99d1c0539cb6fbd1d6f7d63588d 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 Artificial Intelligence-Based Learning Approaches for Remote Sensing. Description An account of the resource The reprint focuses on artificial intelligence-based learning approaches and their applications in remote sensing fields. The explosive development of machine learning, deep learning approaches and its wide applications in signal processing have been witnessed in remote sensing. The new developments in remote sensing have led to a high resolution monitoring of ground on a global scale, giving a huge amount of ground observation data. Thus, artificial intelligence-based deep learning approaches and its applied signal processing are required for remote sensing. These approaches can be universal or specific tools of artificial intelligence, including well known neural networks, regression methods, decision trees, etc. It is worth compiling the various cutting-edge techniques and reporting on their promising applications. Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/95818 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 2022 Contributor An entity responsible for making contributions to the resource dwi marina 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/books978-3-0365-6084-7 ISBN 9783036560830, 9783036560847 Subject The topic of the resource Artificial Intelligence Engineering Creator An entity primarily responsible for making the resource Jeon, Gwanggil (editor) http://www.oer.unair.ac.id/files/original/016c59685a201aadba0f4d8a10311e7f.jpg 08a8d43e5a78e3c49977c0ed4cd7851c http://www.oer.unair.ac.id/files/original/96c5ded4b0d5112b76316c93a54401a4.pdf 84cc6fc8a516f890b80070738a01c33c 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 Artificial Intelligence, real consequences: How AI is changing the way we live Subject The topic of the resource Artificial intelligence Impact of science & technology on society Description An account of the resource This project started within the Junior Council (JC) of the TPM AI Lab. The TPM AI Lab was established in 2021 at the Faculty of Technology, Policy and Management (TPM) of TU Delft to consolidate research on AI within and outside TU Delft. At the TPM AI Lab, we believe the noise around AI can be overwhelming. It is for us, and we believe it is for others too. Recent developments in cutting-edge technology have fueled a new wave of interest in AI research and application, spanning multiple sectors and disciplines. Countless AI techniques, approaches, and tools are being employed or developed for various purposes. Everybody wants to see what AI has to offer. It is difficult to keep track of everything happening in the AI world. At the same time, the enthusiasm for AI is met with scepticism and scrutiny by critical scholars and experts. Creator An entity primarily responsible for making the resource Gonçalves, Juliana E. Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/128113 Publisher An entity responsible for making the resource available TU Delft Open 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 Wahyuni Rights Information about rights held in and over the resource Rights 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 10.59490/mg.70 Artificial Intelligence http://www.oer.unair.ac.id/files/original/60a8ad3a98ca12038f80c7ebc425ed3e.jpg b12f92cbac23420b47e9b9052d8d364b http://www.oer.unair.ac.id/files/original/a17c86b527fc68d986df5ff830a525f9.PDF df184d6d393ea54707886d7204a62d9a 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 Artificial Neural Networks as Models of Neural Information Processing Subject The topic of the resource Neurosciences Description An account of the resource Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function. Creator An entity primarily responsible for making the resource Marcel van Gerven Sander Bohte Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/41357 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 Contributor An entity responsible for making contributions to the resource Wahyuni 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 10.3389/978-2-88945-401-3 ISBN 9782889454013 Neurosciences http://www.oer.unair.ac.id/files/original/ed92d4173d12ec348e9a6f46dd43a378.jpg 327c1e5e56a9fd0556a434fd424ae1d0 http://www.oer.unair.ac.id/files/original/35f714d72831509992a78dc5e284822f.pdf 5fadf294d516a95d5060d2a65c5394c8 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 800 Literature, rhetoric and criticism 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 Artistic Research and Literature Subject The topic of the resource Literature & literary studies Description An account of the resource What is practice-based literary research? While literature as a discipline is currently not represented in the artistic research discourse, individual writers and scholars have ties to a variety of institutional constellations in which overlaps between literature, art, and research become manifest. 16 of them expand on their methodological approaches as well as their practice, and they analyse exemplary case studies. Creator An entity primarily responsible for making the resource Caduff, Corina (editor) Wälchli, Tan (editor) Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/40020 Publisher An entity responsible for making the resource available Wilhelm Fink Date A point or period of time associated with an event in the lifecycle of the resource 2019 Contributor An entity responsible for making contributions to the resource Wahyuni 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 10.30965/9783846763339 Literature