Sustainable development in AI, blockchain, and e-governance applications:
In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in d...
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Weitere Verfasser: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
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Schlagworte: | |
Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
Zusammenfassung: | In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments.Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications. |
Beschreibung: | 1 Online-Ressource (282 Seiten) |
ISBN: | 9798369317235 |
DOI: | 10.4018/979-8-3693-1722-8 |
Internformat
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520 | |a In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments.Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications. | ||
650 | 4 | |a Artificial intelligence | |
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650 | 4 | |a Sustainability | |
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author2 | Abdul Hamid, Abu Bakar 1967- Kumar, Rajeev Kumar, Sandeep Sharan, Hari Om Ya'akub, Noor Inayah Binti |
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author_facet | Abdul Hamid, Abu Bakar 1967- Kumar, Rajeev Kumar, Sandeep Sharan, Hari Om Ya'akub, Noor Inayah Binti |
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discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.4018/979-8-3693-1722-8 |
format | Electronic eBook |
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isbn | 9798369317235 |
language | English |
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spelling | Sustainable development in AI, blockchain, and e-governance applications Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Hari Om Sharan, Sandeep Kumar, editors Sustainable development in artificial intelligence, blockchain, and e-governance applications Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (282 Seiten) txt rdacontent c rdamedia cr rdacarrier In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments.Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications. Artificial intelligence Blockchains (Databases) Computational intelligence Quantitative research Sustainability Abdul Hamid, Abu Bakar 1967- edt Kumar, Rajeev edt Kumar, Sandeep edt Sharan, Hari Om edt Ya'akub, Noor Inayah Binti edt Erscheint auch als Druck-Ausgabe 9798369317228 https://doi.org/10.4018/979-8-3693-1722-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Sustainable development in AI, blockchain, and e-governance applications Artificial intelligence Blockchains (Databases) Computational intelligence Quantitative research Sustainability |
title | Sustainable development in AI, blockchain, and e-governance applications |
title_alt | Sustainable development in artificial intelligence, blockchain, and e-governance applications |
title_auth | Sustainable development in AI, blockchain, and e-governance applications |
title_exact_search | Sustainable development in AI, blockchain, and e-governance applications |
title_exact_search_txtP | Sustainable development in AI, blockchain, and e-governance applications |
title_full | Sustainable development in AI, blockchain, and e-governance applications Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Hari Om Sharan, Sandeep Kumar, editors |
title_fullStr | Sustainable development in AI, blockchain, and e-governance applications Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Hari Om Sharan, Sandeep Kumar, editors |
title_full_unstemmed | Sustainable development in AI, blockchain, and e-governance applications Rajeev Kumar, Abu Bakar Abdul Hamid, Noor Inayah Binti Ya'akub, Hari Om Sharan, Sandeep Kumar, editors |
title_short | Sustainable development in AI, blockchain, and e-governance applications |
title_sort | sustainable development in ai blockchain and e governance applications |
topic | Artificial intelligence Blockchains (Databases) Computational intelligence Quantitative research Sustainability |
topic_facet | Artificial intelligence Blockchains (Databases) Computational intelligence Quantitative research Sustainability |
url | https://doi.org/10.4018/979-8-3693-1722-8 |
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