5 10 111 http://www.oer.unair.ac.id/files/original/38703b515af139f6f22e6a263c123a3d.jpg 6c05e55d97c218bdc2a77eddc04afef4 http://www.oer.unair.ac.id/files/original/bba4f45dbb4c5ef920517a0030b9a438.pdf ee134301824c713aee247ab2e10ea764 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 Women in Artificial intelligence (AI) Subject The topic of the resource Artificial Intelligence Engineering Description An account of the resource This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have applications to relevant fields, such as human health, finance, or education. It is worth noting that the Issue includes three papers that deal with different aspects of gender bias in Artificial Intelligence. All the papers have a woman as the first author. We can proudly say that these women are from countries worldwide, such as France, Czech Republic, United Kingdom, Australia, Bangladesh, Yemen, Romania, India, Cuba, Bangladesh and Spain. In conclusion, apart from its intrinsic scientific value as a Special Issue, combining interesting research works, this Special Issue intends to increase the invisibility of women in AI, showing where they are, what they do, and how they contribute to developments in Artificial Intelligence from their different places, positions, research branches and application fields. We planned to issue this book on the on Ada Lovelace Day (11/10/2022), a date internationally dedicated to the first computer programmer, a woman who had to fight the gender difficulties of her times, in the XIX century. We also thank the publisher for making this possible, thus allowing for this book to become a part of the international activities dedicated to celebrating the value of women in ICT all over the world. With this book, we want to pay homage to all the women that contributed over the years to the field of AI. Creator An entity primarily responsible for making the resource Valls, Aida (editor) Gibert, Karina (editor) Source A related resource from which the described resource is derived https://mdpi.com/books/pdfview ... 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/ Relation A related resource https://directory.doabooks.org/handle/20.500.12854/93766 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/books978-3-0365-5532-4 ISBN: 9783036555324, 9783036555317 Artificial Intelligence Engineering http://www.oer.unair.ac.id/files/original/8527f23036e6be4d2334e8d096063e95.jpg b510e2771ea9bf96777607a5d6055d0b http://www.oer.unair.ac.id/files/original/5679ba9e3039ce35d825085eea6fa139.pdf 3c777c571f537a067147c616d75a96a0 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 Swarm Intelligence Recent Advances, New Perspectives and Applications Subject The topic of the resource Artificial Intelligence Engineering Description An account of the resource https://www.intechopen.com/books Creator An entity primarily responsible for making the resource Del Ser, Javier (editor) Villar, Esther (editor) Osaba, Eneko (editor) 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 2019 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/3.0/ Format The file format, physical medium, or dimensions of the resource pdf Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.5772/intechopen.77539 Artificial Intelligence Engineering http://www.oer.unair.ac.id/files/original/c12f3f21401e622043efcc836da50821.jpg 79129336fe7edea62be5e9a0c72368e5 http://www.oer.unair.ac.id/files/original/1c2782eca665c9604d7b962d36002604.pdf 0c7c2122fc6e85dff78b761efb6a9616 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 Limited Information Shared Control and its Applications to Large Vehicle Manipulators Subject The topic of the resource manipulation Description An account of the resource https://library.oapen.org/handle/20.500.12657/86848 Creator An entity primarily responsible for making the resource Varga, Bálint 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 2024 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-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 Textbooks Identifier An unambiguous reference to the resource within a given context 10.5445/KSP/1000162759 manipulation http://www.oer.unair.ac.id/files/original/0227b826882a2fb42eaeeb33aabffd35.jpg 09ab2936706c8ef381852984740c8500 http://www.oer.unair.ac.id/files/original/bf1da9700c31a8c29fc92f4b9846ba30.pdf f29386bb2c780413d11b86a13e8ce16a 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 Collaborative Technologies and Data Science in Artificial Intelligence Applications. Creator An entity primarily responsible for making the resource Hajian, Aram (editor) Baloian, Nelson (editor) Inoue, Tomoo (editor) Luther, Wolfram (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/64403 Publisher An entity responsible for making the resource available Logos Verlag Berlin Date A point or period of time associated with an event in the lifecycle of the resource Berlin/Germany, 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-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 Textbooks Identifier An unambiguous reference to the resource within a given context 10.30819/5141 Science Technology http://www.oer.unair.ac.id/files/original/fc5ae34ccf57bd1b00114328b34f7d96.jpg 5785eaee9588e5955d90b9b54b9ea4a2 http://www.oer.unair.ac.id/files/original/554d63bf736f3ce33955c255034abeea.pdf 01dddb808823c0b6234c5fe7fbcb8024 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 Proceedings of the 9th International Conference on Civil Engineering Subject The topic of the resource industrial Engineering Creator An entity primarily responsible for making the resource Feng, Guangliang (editor) 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 dwi marina 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 text Identifier An unambiguous reference to the resource within a given context 10.1007/978-981-99-2532-2 industrial Engineering http://www.oer.unair.ac.id/files/original/94f91241fad11afaad05e1c7b9489f16.jpg 0a02cf86c81030080b78548db01ed3c8 http://www.oer.unair.ac.id/files/original/7fd247d22cd7822abd72dc69effffcd7.pdf 8f30201d77adc1c6eed60fb962f5131d 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 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 Intelligent Systems and Applications in Computer Vision Subject The topic of the resource Computer Science, Engineering & Technology Description An account of the resource The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering. Creator An entity primarily responsible for making the resource Nitin Mittal, Amit Kant Pandit, Mohamed Abouhawwash, Shubham Mahajan Source A related resource from which the described resource is derived https://www.taylorfrancis.com/books/edit/10.1201/9781003453406/intelligent-systems-applications-computer-vision-nitin-mittal-amit-kant-pandit-mohamed-abouhawwash-shubham-mahajan?_gl=1*1uu3oue*_ga*NjI1MDYwOTAzLjE3MDY1NzQzNDg.*_ga_0HYE8YG0M6*MTcwNzI2OTE2OS4zLjEuMTcwNzI3MzE2OC4wLjAuMA..&_ga=2.102502214.656743298.1707205995-625060903.1706574348 Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource Amalia TR Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Book Identifier An unambiguous reference to the resource within a given context https://doi.org/10.1201/9781003453406 Computer Science engineering & technology lib.unair.ac.id OER Perpustakaan Universitas Airlangga Perpustakaan Universitas Airlangga unair.ac.id http://www.oer.unair.ac.id/files/original/76873e23ac4b527f59aa9877eeb506c4.jpg a96fb620a9090fde7d0152dfaa3efe7d http://www.oer.unair.ac.id/files/original/55f689a23960d34021360173654e62a0.pdf 10aaf4b65686a6ebd4e7fc742fe5a9ad 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 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 Genetic Engineering Volume 1: Principles Mechanism, and Expression Subject The topic of the resource Bioscience, Engineering & Technology, Social Sciences Description An account of the resource This new 2-volume set explores new research and perspectives in genetic engineering, which enables the precise control of the genetic composition and gene expression of organism. This powerful technology can be used for environmental sustainability, food and nutritional security, medicinal advancement, and more. Genetic Engineering aims to provide a deep understanding of the many aspects of this emerging technology and its diverse applications. Genetic Engineering, Volume 1: Principles, Mechanism, and Expression covers genetic engineering concepts, molecular tools, and technologies utilized in the manipulation, amplification, and introgression of DNA. The volume explains the concepts of genetic engineering, enzymes of genetic engineering, and tools used in genetic engineering. It provides an introduction of recombinant DNA into host cells and discusses the linking of desired gene with DNA vector/gene cloning vector, polymerase chain reactions, the concept and nature of genes, blotting techniques, chromosome jumping, electrophoresis, genetically engineered microorganisms, and molecular markers and their applications. Genetic Engineering, Volume 2: Applications, Bioethics, and Biosafety expresses the various appreciation and challenges of genetic engineering and issues related to bioethics and biosafety. Chapters cover the legal issues of genetic engineering, including intellectual property rights (IPR) and protection (IPP) and the patenting of living organisms, copyrights, trade secrets, and trademarks. The volume considers the safety and benefits of genetic engineering in human welfare, such as in genetically engineered Bt and Bt cotton, along with the biohazards of recombinant DNA technology. Chapters explain genetically modified organisms and microorganisms, genetic engineering of horticultural crops, genetic engineering in the agricultural sciences, and more. This 2-volume book will be a valuable asset to upper-level students in cell biology as well as to faculty and researchers involved in genetics, molecular genetics, biochemistry, biotechnology, botany, zoology and agriculture sciences. Creator An entity primarily responsible for making the resource Tariq Ahmad Bhat, Jameel M. Al-Khayri Publisher An entity responsible for making the resource available Apple Academic Press Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource Amalia TR Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Book Identifier An unambiguous reference to the resource within a given context https://doi.org/10.1201/9781003378266 BIOSCIENCE engineering & technology lib.unair.ac.id OER Perpustakaan Universitas Airlangga Social sciences unair.ac.id http://www.oer.unair.ac.id/files/original/470cf5205915834b528f2ac9ec33eff8.jpg 9e0c4e6602f22b39a06197cf58975610 http://www.oer.unair.ac.id/files/original/053c901d59d9fdacc3d0520472147b79.pdf a82844e974c8817fe937515a07cffd44 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 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 Handbook of Deep Learning in Biomedical Engineering and Health Informatics Subject The topic of the resource Bioscience, Computer Science, Engineering & Technology Description An account of the resource This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat patients more effectively. Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. This volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc. Creator An entity primarily responsible for making the resource Bioscience, Computer Science, Engineering & Technology Source A related resource from which the described resource is derived https://www.taylorfrancis.com/books/edit/10.1201/9781003144694/handbook-deep-learning-biomedical-engineering-health-informatics-golden-julie-harold-robinson-jaisakthi?_gl=1*1owz9u9*_ga*NjI1MDYwOTAzLjE3MDY1NzQzNDg.*_ga_0HYE8YG0M6*MTcwNzI2OTE2OS4zLjEuMTcwNzI2OTIzNi4wLjAuMA..&_ga=2.162726011.656743298.1707205995-625060903.1706574348 Publisher An entity responsible for making the resource available Apple Academic Press 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 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/10.1201/9781003144694 BIOSCIENCE Computer Science engineering & technology lib.unair.ac.id OER Perpustakaan Universitas Airlangga unair.ac.id http://www.oer.unair.ac.id/files/original/df5065568781ee5122e3b819b1444ead.jpg ef5a893cc1d1cd0c2cabe82a65c3e33e http://www.oer.unair.ac.id/files/original/756c27e8a5f5db4cd48af18425cbcd1d.pdf e51313ee709789b603fe99cc2223bfad 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 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 Scripting Farming Simulator with Lua Unlocking the Virtual Fields Subject The topic of the resource programming Description An account of the resource Create mods using the popular game Farming Simulator with Lua, a versatile scripting language that can run on various platforms and applications. This open access book is best suited for programmers who want to learn how to use Lua to write scripts that can enhance and extend the gameplay experience. You'll start by reviewing the basics of programming in Lua and then move on to advanced topics, such as object-oriented programming, vehicle and placeable specializations, network synchronization, and creating custom user interfaces. With step-by-step instructions and detailed explanations, you'll see how to create scripts that modify game mechanics and add new features to the game. The practical examples and projects are ideal for providing hands-on experience with Lua scripting. Whether you are a creator looking to take your skills to the next level or a game developer interested in learning a new programming language, Scripting Farming Simulator with Lua is the ultimate guide to mastering Lua scripting. What You'll Learn Understand the fundamentals of programming in LUA Implement a basic “Hello-World” mod Add a new graphical user interface to your mod Use hook scripts to extend base game features Publish your mod on the official Farming Simulator ModHub Who This Book Is For Creators who want to add new features to Farming Simulator; game developers who want to learn a new programming language for modding purposes, and anyone who wants to expand their knowledge of programming and scripting. Creator An entity primarily responsible for making the resource Brumbaugh, Zander Leithner, Manuel Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/86976 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 2024 Contributor An entity responsible for making contributions to the resource Amalia TR 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 10.1007/979-8-8688-0060-3 Farming Simulator lib.unair.ac.id Modding OER Perpustakaan Universitas Airlangga programming Scripting unair.ac.id http://www.oer.unair.ac.id/files/original/fe9f377cab32fcfba8c66946355fd5f6.jpg 2cf464acc2d257a6e69f935cb7877b25 http://www.oer.unair.ac.id/files/original/81494e4a9b6155e864f64820d2d548ad.pdf dd27bef412f92608006c7a9338bee00e 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 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 Geosynthetics: Leading the Way to a Resilient Planet Subject The topic of the resource Technology Description An account of the resource This volume contains the proceedings of the 12th International Conference on Geosynthetics (12 ICG), held in Roma, Italy, 17-21 September 2023. About 750 Authors - Academics, Researchers, Students, Practitioners, Contractors and Manufacturers – contributed to the peer-reviewed papers of this volume, which includes the Giroud lecture, the Bathurst lecture, the Rowe lecture, four keynote lectures and 296 technical papers. The content of these proceedings illustrates the sustainable use of geosynthetics in a variety of innovative as well as consolidated applications. After the sustainability implications in the correct use of geosynthetics, the ability to overcome the natural events effects, often related to the climate change, and to adequately afford the human activities (as the increase of pollution) forced to refer to a new keyword: Resiliency. The 12 ICG intends to become the base for the next step, hence the conference theme is 'Geosynthetics, Leading the Way to a Resilient Planet'. The conference topics, through general and parallel sessions, invited presentations and keynote lectures, address the most recent developments in geosynthetic engineering, and stimulate fruitful technical and scientific interaction among academicians, professionals, manufacturers, students. The 12 ICG proceedings contain a wealth of information that could be useful for researchers, practitioners and all those working in the broad, innovative and dynamic field of geosynthetics. Creator An entity primarily responsible for making the resource Biondi, Giovanni (editor) Cazzuffi, Daniele (editor) Moraci, Nicola (editor) Soccodato, Claudio (editor) Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/79394 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 2023 Contributor An entity responsible for making contributions to the resource Amalia TR Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI 10.1201/9781003386889 Climate Change construction geosynthetics lib.unair.ac.id OER Perpustakaan Universitas Airlangga unair.ac.id