Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

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Publisher : Springer Nature
ISBN 13 : 3030609464
Total Pages : 147 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures by : Tanveer Syeda-Mahmood

Download or read book Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures written by Tanveer Syeda-Mahmood and published by Springer Nature. This book was released on 2020-10-03 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Breast Imaging

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Publisher : Springer Nature
ISBN 13 : 3030949184
Total Pages : 453 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Breast Imaging by : Michael Fuchsjäger

Download or read book Breast Imaging written by Michael Fuchsjäger and published by Springer Nature. This book was released on 2022-10-31 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This superbly illustrated book provides a thorough, up-to-date overview of diagnostic breast imaging and therapy. Drs. Elizabeth Morris, Michael Fuchsjäger, and Thomas Helbich, three experts in the field, have collaborated with colleagues from their institutions and selected medical centers to share their expertise. The coverage ranges from basic information on imaging technologies and interventional equipment and how to use them optimally to the application of advanced high-end techniques for screening and assessment in any given professional environment. Readers will find clear instruction on the various breast interventional procedures guided by stereotaxis, ultrasound, and magnetic resonance imaging in wide clinical use. The management of patients with ductal carcinoma in situ and high-risk breast cancer is considered separately. Furthermore, the role of minimally invasive therapy is examined, and advice is provided on post-therapy evaluation, including breast implants. A comprehensive diagnostic atlas with hundreds of images completes this volume and addresses the spectrum of various clinical situations.

Multimodal Learning for Clinical Decision Support

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Publisher : Springer Nature
ISBN 13 : 3030898474
Total Pages : 125 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Multimodal Learning for Clinical Decision Support by : Tanveer Syeda-Mahmood

Download or read book Multimodal Learning for Clinical Decision Support written by Tanveer Syeda-Mahmood and published by Springer Nature. This book was released on 2021-10-19 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic. The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.

Computer-Aided Oral and Maxillofacial Surgery

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Publisher : Academic Press
ISBN 13 : 0128234237
Total Pages : 284 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Computer-Aided Oral and Maxillofacial Surgery by : Jan Egger

Download or read book Computer-Aided Oral and Maxillofacial Surgery written by Jan Egger and published by Academic Press. This book was released on 2021-04-29 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-Aided Oral and Maxillofacial Surgery: Developments, Applications, and Future Perspectives is an ideal resource for biomedical engineers and computer scientists, clinicians and clinical researchers looking for an understanding on the latest technologies applied to oral and maxillofacial surgery. In facial surgery, computer-aided decisions supplement all kind of treatment stages, from a diagnosis to follow-up examinations. This book gives an in-depth overview of state-of-the-art technologies, such as deep learning, augmented reality, virtual reality and intraoperative navigation, as applied to oral and maxillofacial surgery. It covers applications of facial surgery that are at the interface between medicine and computer science. Examples include the automatic segmentation and registration of anatomical and pathological structures, like tumors in the facial area, intraoperative navigation in facial surgery and its recent developments and challenges for treatments like zygomatic implant placement. Provides comprehensive, state-of-the-art knowledge of interdisciplinary applications in facial surgery Presents recent algorithmic developments like Deep Learning, along with recent devices in augmented reality and virtual reality Includes clinical knowledge of two facials surgeons who give insights into the current clinical practice and challenges of facial surgeons in university hospitals in Austria and China

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

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Author :
Publisher : Springer
ISBN 13 : 3319675583
Total Pages : 385 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by : M. Jorge Cardoso

Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by M. Jorge Cardoso and published by Springer. This book was released on 2017-09-07 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Medical Content-Based Retrieval for Clinical Decision Support

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Publisher : Springer Science & Business Media
ISBN 13 : 3642284590
Total Pages : 161 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Henning Mueller

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Henning Mueller and published by Springer Science & Business Media. This book was released on 2012-03 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.

Medical Content-Based Retrieval for Clinical Decision Support

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Publisher : Springer
ISBN 13 : 3642117694
Total Pages : 130 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Medical Content-Based Retrieval for Clinical Decision Support by : Henning Müller

Download or read book Medical Content-Based Retrieval for Clinical Decision Support written by Henning Müller and published by Springer. This book was released on 2010-02-04 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Big Data in Multimodal Medical Imaging

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Publisher : CRC Press
ISBN 13 : 1351380729
Total Pages : 247 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Big Data in Multimodal Medical Imaging by : Ayman El-Baz

Download or read book Big Data in Multimodal Medical Imaging written by Ayman El-Baz and published by CRC Press. This book was released on 2019-11-05 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

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Author :
Publisher : Springer
ISBN 13 : 3030008894
Total Pages : 401 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by : Danail Stoyanov

Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by Danail Stoyanov and published by Springer. This book was released on 2018-09-19 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging

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Publisher : Springer Nature
ISBN 13 : 3031232232
Total Pages : 144 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging by : John S. H. Baxter

Download or read book Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging written by John S. H. Baxter and published by Springer Nature. This book was released on 2022-12-20 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022. EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topology plays in machine learning and data science.

Clinical Decision Support Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1475739036
Total Pages : 325 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Clinical Decision Support Systems by : Eta S. Berner

Download or read book Clinical Decision Support Systems written by Eta S. Berner and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by nationally and internationally recognised experts on the design, evaluation and application of such systems, this book examines the impact of practitioner and patient use of computer-based diagnostic tools. It serves simultaneously as a resource book on diagnostic systems for informatics specialists; a textbook for teachers or students in health or medical informatics training programs; and as a comprehensive introduction for clinicians, with or without expertise in the applications of computers in medicine, who are interested in learning about current developments in computer-based diagnostic systems. Designed for a broad range of clinicians in need of decision support.

Personalized Orthopedics

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Publisher : Springer Nature
ISBN 13 : 3030982793
Total Pages : 554 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Personalized Orthopedics by : Osiris Canciglieri Junior

Download or read book Personalized Orthopedics written by Osiris Canciglieri Junior and published by Springer Nature. This book was released on 2022-05-25 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the most important topics in the field of personalized orthopedics. It starts with the 3D geometry of the bones, focusing on the problem of reverse engineering of the bones. It also shows the application of a 3D geometric model of bone for the design of personalized implants and prostheses. This book covers the application of additive technologies in personalized orthopedics as well as prediction, simulation and optimization in personalized orthopedics. Its content provides the necessary knowledge for the transition from classical to personalized orthopedics. The authors present an original method for reverse bone engineering—the Method of Anatomical Features (MAF). This method is unique as it enables the reconstruction of the original geometry and topology of the bone, even when only data on its part are available. The application of this method is shown on the examples of human long bones, mandible and hip bone reconstruction. This book contains a review of several real cases of personalized implants. It gives several examples of prostheses for the design of which a 3D model of bones was used, as well as other patient data on the basis of which personalized prostheses were designed.

Auto-Segmentation for Radiation Oncology

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Publisher : CRC Press
ISBN 13 : 1000376346
Total Pages : 247 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Auto-Segmentation for Radiation Oncology by : Jinzhong Yang

Download or read book Auto-Segmentation for Radiation Oncology written by Jinzhong Yang and published by CRC Press. This book was released on 2021-04-19 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations). This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use. Features: Up-to-date with the latest technologies in the field Edited by leading authorities in the area, with chapter contributions from subject area specialists All approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine

Proceedings of Fourth Doctoral Symposium on Computational Intelligence

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Publisher : Springer Nature
ISBN 13 : 9819937167
Total Pages : 937 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings of Fourth Doctoral Symposium on Computational Intelligence by : Abhishek Swaroop

Download or read book Proceedings of Fourth Doctoral Symposium on Computational Intelligence written by Abhishek Swaroop and published by Springer Nature. This book was released on 2023-09-16 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at Fourth Doctoral Symposium on Computational Intelligence (DoSCI 2023), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 3, 2023. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making

Data Science – Analytics and Applications

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Publisher : Springer Nature
ISBN 13 : 3658362952
Total Pages : 101 pages
Book Rating : 4.6/5 (583 download)

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Book Synopsis Data Science – Analytics and Applications by : Peter Haber

Download or read book Data Science – Analytics and Applications written by Peter Haber and published by Springer Nature. This book was released on 2022-03-29 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use cases. The 4th International Data Science Conference (iDSC) 2021 brought together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best practices from leading research institutions and business companies. The proceedings include all full papers presented in the scientific track and the corresponding German abstracts as well as the short papers from the student track. Among the topics of interest are: Artificial Intelligence and Machine Learning Implementation of data mining processes Agile Data Science and Visualization Case Studies and Applications for Agile Data Science --- Organisationen sind bereits von der starren Struktur des klassischen Projektmanagements zu agilen Ansätzen übergegangen. Dies gilt auch für Softwareentwicklungsprojekte, die flexibel sein müssen, um schnell auf die Wünsche der Kunden reagieren zu können und um Änderungen zu berücksichtigen, die aufgrund von Architekturentscheidungen erforderlich sind. Nachdem sich die Datenwissenschaft als Eckpfeiler in Organisationen und Unternehmen etabliert hat, ist es nun zwingend erforderlich, diesen entscheidenden Schritt auch für analytische Geschäftsprozesse durchzuführen. Die nicht-deterministische Natur der Datenwissenschaft und die ihr innewohnenden analytischen Aufgaben erfordern einen interaktiven Ansatz für eine evolutionäre, schrittweise Entwicklung zur Realisierung der wichtigsten Geschäftsanwendungen und Anwendungsfälle. Die 4. Internationale Konferenz zur Datenwissenschaft (iDSC 2021) brachte Forscher, Wissenschaftler und Wirtschaftsexperten zusammen, um Möglichkeiten zu erörtern, wie neue Wege zur Umsetzung agiler Ansätze in den verschiedenen Bereichen der Datenwissenschaft, wie maschinelles Lernen und KI, Data Mining oder Visualisierung und Kommunikation, sowie Fallstudien und Best Practices von führenden Forschungseinrichtungen und Wirtschaftsunternehmen etabliert werden können. Der Tagungsband umfasst alle im wissenschaftlichen Track vorgestellten Volltexte und die Kurzbeiträge aus dem studentischen Track auf Englisch und die dazugehörigen Abstracts auf Deutsch. Zu den Themen, die sie interessieren, gehören unter anderem: Künstliche Intelligenz und Maschinelles Lernen Implementierung von Data-Mining-Prozessen Agile Datenwissenschaft und Visualisierung Fallstudien und Anwendungen für Agile Datenwissenschaft

Knowledge Modelling and Big Data Analytics in Healthcare

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Publisher : CRC Press
ISBN 13 : 1000477762
Total Pages : 362 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Knowledge Modelling and Big Data Analytics in Healthcare by : Mayuri Mehta

Download or read book Knowledge Modelling and Big Data Analytics in Healthcare written by Mayuri Mehta and published by CRC Press. This book was released on 2021-12-09 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.

Recent Advancements in Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 9819711118
Total Pages : 409 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Recent Advancements in Artificial Intelligence by : Richi Nayak

Download or read book Recent Advancements in Artificial Intelligence written by Richi Nayak and published by Springer Nature. This book was released on with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: