Emerging technologies have become both crucibles and showrooms for
the practical application of artificial intelligence, the internet
of things, and cloud computing, and for integrating big data into
everyday life. Is the digital world optimized and sustainable using
intelligence systems, machine learning, and cyber security methods?
This complex concoction of challenges requires new thinking of the
synergistic utilization of intelligence systems, machine learning,
deep learning and blockchain methods, data-driven decision-making
with automation infrastructure, autonomous transportation, and
connected buildings. Effective AI, Blockchain, and E-Governance
Applications for Knowledge Discovery and Management provides a
global perspective on current and future trends concerning the
integration of intelligent systems with cybersecurity applications,
including recent advances and challenges related to the concerns of
security and privacy issues in deep learning with an emphasis on
the current state-of-the-art methods, methodologies and
implementation, attacks, and countermeasures. The book also
discusses the challenges that need to be addressed for implementing
DL-based security mechanisms that should have the capability of
collecting or distributing data across several applications. Topics
covered include skill development and tools for intelligence
systems, deep learning, machine learning, blockchain, IoT, cloud
computing, data ethics, and infrastructure. It is ideal for
independent researchers, research scholars, scientists, libraries,
industry experts, academic students, business associations,
communication and marketing agencies, entrepreneurs, and all
potential audiences with a specific interest in these topics.
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