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Recent Trends In Analysis Of Images Social Networks And Texts


Recent Trends In Analysis Of Images Social Networks And Texts
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Recent Trends In Analysis Of Images Social Networks And Texts


Recent Trends In Analysis Of Images Social Networks And Texts
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Author : Evgeny Burnaev
language : en
Publisher: Springer Nature
Release Date : 2022-08-29

Recent Trends In Analysis Of Images Social Networks And Texts written by Evgeny Burnaev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-29 with Computers categories.


This book constitutes revised selected papers of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, in December 2021. Due to the COVID-19 pandemic the conference was held in hybrid mode. The 17 full papers were carefully reviewed and selected from 118 submissions, out of which 92 were sent to peer review. The papers are organized in topical sections on ​natural language processing; computer vision; data analysis and machine learning; social network analysis; theoretical machine learning and optimisation.



Recent Trends In Analysis Of Images Social Networks And Texts


Recent Trends In Analysis Of Images Social Networks And Texts
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Author : Dmitry I. Ignatov
language : en
Publisher: Springer Nature
Release Date : 2024-07-29

Recent Trends In Analysis Of Images Social Networks And Texts written by Dmitry I. Ignatov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Computers categories.


​This book constitutes the refereed proceedings of the 11th International Conference on Recent Trends in Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28–30, 2023. The 19 full papers 2 short papers and 1 demo paper included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; Network Analysis; Theoretical Machine Learning and Optimization; and Demo Paper.



Recent Trends In Analysis Of Images Social Networks And Texts


Recent Trends In Analysis Of Images Social Networks And Texts
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Author : Wil M. P. van der Aalst
language : en
Publisher: Springer Nature
Release Date : 2021-03-24

Recent Trends In Analysis Of Images Social Networks And Texts written by Wil M. P. van der Aalst and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-24 with Computers categories.


This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on ​natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters.



Analysis Of Images Social Networks And Texts


Analysis Of Images Social Networks And Texts
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Author : Alexander Panchenko
language : en
Publisher: Springer Nature
Release Date : 2025-04-14

Analysis Of Images Social Networks And Texts written by Alexander Panchenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-14 with Computers categories.


This book constitutes the refereed proceedings of the 12th International Conference on Analysis of Images, Social Networks and Texts, AIST 2024, held in Bishkek, Kyrgyzstan, during October 17–19, 2024. The 16 full papers included in this book were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: Natural Language Processing; Computer Vision; Data Analysis and Machine Learning; and Theoretical Machine Learning and Optimization.



Analysis Of Images Social Networks And Texts


Analysis Of Images Social Networks And Texts
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Author : Dmitry I. Ignatov
language : en
Publisher: Springer
Release Date : 2014-11-06

Analysis Of Images Social Networks And Texts written by Dmitry I. Ignatov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-06 with Computers categories.


This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos; natural language processing and computational linguistics; social network analysis; machine learning and data mining; recommender systems and collaborative technologies; semantic web, ontologies and their applications; analysis of socio-economic data.



Analysis Of Images Social Networks And Texts


Analysis Of Images Social Networks And Texts
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Author : Wil M.P. van der Aalst
language : en
Publisher: Springer
Release Date : 2017-12-20

Analysis Of Images Social Networks And Texts written by Wil M.P. van der Aalst and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-20 with Computers categories.


This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017. The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. The papers are organized in topical sections on natural language processing; general topics of data analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behavior through event data; social network analysis.



Digital Geography


Digital Geography
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Author : Maxim Bakaev
language : en
Publisher: Springer Nature
Release Date : 2024-11-08

Digital Geography written by Maxim Bakaev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-08 with Science categories.


This proceedings book collects contributions from the Internet and Modern Society conference in 2023. The gathering addresses topical issues of digital geography and geography of information society, providing a platform for discussion and collaboration between experts in related fields. Participants from all over the world consider the controversies and challenges posed by globalization, focusing on topics including digital urbanism, smart cities, digital sustainability, social media movements, digital divides, cyber-psychology. This volume centers on five core themes: the digital city; computational linguistics and machine learning; interactive systems and information society technologies; cyberpsychology, digital health and active aging; and e-governance and political communication.



Recent Trends In Analysis Of Images Social Networks And Texts


Recent Trends In Analysis Of Images Social Networks And Texts
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Author : Evgeny Burnaev
language : en
Publisher:
Release Date : 2022

Recent Trends In Analysis Of Images Social Networks And Texts written by Evgeny Burnaev and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.


This book constitutes revised selected papers of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, in December 2021. Due to the COVID-19 pandemic the conference was held in hybrid mode. The 17 full papers were carefully reviewed and selected from 118 submissions, out of which 92 were sent to peer review. The papers are organized in topical sections on natural language processing; computer vision; data analysis and machine learning; social network analysis; theoretical machine learning and optimisation.



Digital Geography


Digital Geography
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Author : Radomir Bolgov
language : en
Publisher: Springer Nature
Release Date : 2024-02-21

Digital Geography written by Radomir Bolgov and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-21 with Science categories.


This proceedings book presents select papers from the International Conference on Internet and Modern Society (IMS 2022). It discusses topical issues of digital geography and the geography of the information society, especially in urban settings. Participants from all over the world consider the controversies and challenges posed by globalization, focusing on Digital Urbanism, Smart Cities, Digital Sustainability, Social Media Movements, Digital Divide, and Cyber Psychology. The book will be of interest to academics, researchers, and students in digital humanities, as well as governmental and non-governmental cybersecurity organizations.



Exploring Explainable Iot Recent Trends Challenges And Future Directions


Exploring Explainable Iot Recent Trends Challenges And Future Directions
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Author : Dr. Omkar Singh
language : en
Publisher: Crown Publishing
Release Date : 2025-05-20

Exploring Explainable Iot Recent Trends Challenges And Future Directions written by Dr. Omkar Singh and has been published by Crown Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Business & Economics categories.


Exploring Explainable IoT: Recent Trends, Challenges, and Future Directions offers an in-depth exploration of the emerging field of explainability within the Internet of Things (IoT) landscape. As IoT systems become more intelligent and autonomous—integrating AI and machine learning for tasks such as smart decision-making, automation, and real-time analytics—the demand for transparency and interpretability has grown significantly. This book provides a comprehensive overview of the latest developments in Explainable IoT, addressing how explainability can enhance trust, accountability, and human understanding in complex, data-driven environments. It examines the current trends driving research and innovation, from edge-based explainable models to user-centric design, while also confronting critical challenges such as the trade-off between model accuracy and interpretability, limited computational resources on IoT devices, and data privacy concerns. The book brings together interdisciplinary perspectives, combining insights from artificial intelligence, human-computer interaction, embedded systems, and cloud-edge computing to propose novel frameworks and architectures for building more transparent IoT solutions. It also outlines promising future directions, including the role of explainability in ethical AI, regulatory frameworks, and adaptive systems that learn and explain in real-time. Aimed at researchers, practitioners, and students, this book serves as both a foundational resource and a forward-looking guide for developing explainable and trustworthy IoT technologies across a range of application domains.