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Recent Advances In Next Generation Data Science


Recent Advances In Next Generation Data Science
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Recent Advances In Next Generation Data Science


Recent Advances In Next Generation Data Science
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Author : Henry Han
language : en
Publisher: Springer Nature
Release Date : 2024-08-22

Recent Advances In Next Generation Data Science written by Henry Han and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Computers categories.


This book constitutes the refereed proceedings of the Third Southwest Data Science Conference, on Recent advances in next-generation data science, SDSC 2024, held in Waco, TX, USA, in March 22, 2024. The 15 full papers presented were carefully reviewed and selected from 59 submissions. These papers focus on AI security in next-generation data science and address a range of challenges, from protecting sensitive data to mitigating adversarial threats.



Encyclopedia Of Data Science And Machine Learning


Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20

Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.


Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.



Recent Advancement In Geoinformatics And Data Science


Recent Advancement In Geoinformatics And Data Science
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Author : Xiaogang Ma
language : en
Publisher: Geological Society of America
Release Date : 2023-04-11

Recent Advancement In Geoinformatics And Data Science written by Xiaogang Ma and has been published by Geological Society of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-11 with Science categories.


"The chapters in this Special Paper present the latest progress and discoveries in both the methodology and technology of geoinformatics. The methodologies, technologies, and best practices will make this volume a useful reference with long-term impacts for data-intensive geoscience in the next decade and beyond"--



Recent Advances And The Future Generation Of Neuroinformatics Infrastructure


Recent Advances And The Future Generation Of Neuroinformatics Infrastructure
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Author : Xi Cheng
language : en
Publisher: Frontiers Media SA
Release Date : 2015-12-11

Recent Advances And The Future Generation Of Neuroinformatics Infrastructure written by Xi Cheng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Neurosciences. Biological psychiatry. Neuropsychiatry categories.


The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current achievements and explores the directions for the future generation of neuroinformatics infrastructure. The publications present solutions for data archiving, data processing and workflow, data mining, and system integration methodologies. Some of the systems presented are large in scale, geographically distributed, and already have a well-established user community. Some discuss opportunities and methodologies that facilitate large-scale parallel data processing tasks under a heterogeneous computational environment. We wish to stimulate on-going discussions at the level of the neuroinformatics infrastructure including the common challenges, new technologies of maximum benefit, key features of next generation infrastructure, etc. We have asked leading research groups from different research areas of neuroscience/neuroimaging to provide their thoughts on the development of a state of the art and highly-efficient neuroinformatics infrastructure. Such discussions will inspire and help guide the development of a state of the art, highly-efficient neuroinformatics infrastructure.



Human Centric Integration Of Next Generation Data Science And Blockchain Technology


Human Centric Integration Of Next Generation Data Science And Blockchain Technology
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Author : Amit Kumar Tyagi
language : en
Publisher: Academic Press
Release Date : 2025-03-17

Human Centric Integration Of Next Generation Data Science And Blockchain Technology written by Amit Kumar Tyagi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Science categories.


Human- Centric Integration of Next Generation Data Science and Blockchain Technology: Advancing Society 5.0 Paradigms focuses on the current technological landscape, addressing the evolving integration of data science and blockchain within the context of Society 5.0. This comprehensive resource explains the convergences between data science, blockchain, and the human-centric vision of Society 5.0, while also filling the gap in understanding and navigating this transformative intersection with recent shifts towards more decentralized and data-driven paradigms.The book introduces the concept of Society 5.0, examining the historical context, and outlines the evolving technological landscape shaping our interconnected future. It discusses the fundamental principles of data science, from data collection and preprocessing to exploratory data analysis and explains the transformative impact of data science and blockchain across industries such as healthcare, finance, education, and transportation. This book is essential to understanding and shaping the future of technology and society from decentralized solutions to predictive analytics/ emerging technologies. - Addresses the evolving integration of data science and blockchain within the context of Society 5.0 - Introduces the basic architecture and taxonomy of blockchain technology - Explores the future urban lives under the concept of "Society 5.0", characterized by the key phrases of data-driven society and knowledge-intensive society - Offers a firm foundation and understanding of recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management



Recent Advances In Computing Sciences


Recent Advances In Computing Sciences
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Author : Manmohan Sharma
language : en
Publisher: CRC Press
Release Date : 2025-01-27

Recent Advances In Computing Sciences written by Manmohan Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.


The 2nd International Conference on Recent Advances in Computing Sciences (RACS) was held from 29th to 30th November 2022 at Lovely Professional University, Jalandhar, India. The conference focused on discussing issues, exchanging ideas, and the most recent innovations towards advancing research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber-Security, Computational Sciences, Simulation and modeling, Business Analytics, and Machine Learning.



Recent Advances In Computing Sciences


Recent Advances In Computing Sciences
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Author : Sophiya Sheikh
language : en
Publisher: CRC Press
Release Date : 2023-12-21

Recent Advances In Computing Sciences written by Sophiya Sheikh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.


The 1st International Conference on Recent Advances in Computing Sciences (RACS-2022) organized by the School of Computer Application, Lovely Professional University, Jalandhar, Punjab from 4th to 5th November, 2022. The conference focuses on discussing issues, exchanging ideas, and the most recent innovations towards the advancement of research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial Intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber Security, Computational Sciences, Simulation & Modelling, Business Analytics, and Machine Learning. The main objective of this conference is to provide a common platform for academia and industry to discuss various technological challenges and share cognitive thoughts. It provided a thought-provoking platform to discuss and disseminate novel solutions for real-world problems in a dynamic and changing technological environment. The main success of RACS-2022 is to give an opportunity for the participants to enhance their knowledge of recent computing technologies.



Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture


Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture
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Author : Muhammad Fazal Ijaz
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-19

Recent Advances In Big Data Machine And Deep Learning For Precision Agriculture written by Muhammad Fazal Ijaz and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Science categories.




Recent Advances And Prospects In Urban E Planning


Recent Advances And Prospects In Urban E Planning
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Author : Nunes Silva, Carlos
language : en
Publisher: IGI Global
Release Date : 2024-12-31

Recent Advances And Prospects In Urban E Planning written by Nunes Silva, Carlos and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Political Science categories.


The increasing integration of digital technologies in urban planning offers transformative opportunities for improving governance, citizen engagement, and operational efficiency. However, it also presents significant challenges, including ethical concerns, data bias, and potential inequalities in access and outcomes. Understanding these dynamics is crucial as governments and planners strive to balance innovation with inclusivity and accountability. Ultimately, it highlights the critical role of urban e-planning in addressing the complexities of modern cities while fostering equitable and sustainable development. Recent Advances and Prospects in Urban E-Planning comprises empirical findings and insights on the ongoing transformation of the field of urban planning due to the extensive use of information and communication technologies in the planning process, its recent advancements, and the prospects for the next years. By examining global case studies and reflecting on technological advancements, this book underscores the importance of equipping urban planning processes with tools that enhance transparency, effectiveness, and responsiveness to societal needs. Covering topics such as 3D models, healthcare access, and waste governance, this book is an excellent resource for urban planners, policymakers, academicians, researchers, technology developers, data scientists, postgraduate students, and more.



Recent Advances And Challenges On Big Data Analysis In Neuroimaging


Recent Advances And Challenges On Big Data Analysis In Neuroimaging
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Author : Jian Kang
language : en
Publisher: Frontiers Media SA
Release Date : 2017-05-17

Recent Advances And Challenges On Big Data Analysis In Neuroimaging written by Jian Kang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-17 with categories.


Big data is revolutionizing our ability to measure and study the human brain. New technology increases the resolution of images that are being study as well as enables researchers to study the brain as it functions. These technological advances are combined with efforts to collect neuroimaging data on large numbers of subjects, in some cases longitudinally. This combination of advances in measurement and scope of studies requires novel development in the statistical analysis. Fast, scalable, robust and accurate models and approaches need to be developed to make headway on these problems. This volume represents a unique collection of researchers providing deep insights on the statistical analysis of big neuroimaging data.