Showing results for "nirmala e"
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2023
EN
Disruptive innovations are now propelling Industry 4.0 (I4.0) and presenting new opportunities for value generation in all major industry segments. I4.0 technologies' innovations in cybersecurity and data science provide smart apps and services with accurate real-time monitoring and control. Through enhanced access to real-time information, it also aims to increase overall effectiveness, lower costs, and increase the efficiency of people, processes, and technology. The Handbook of Research...
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Next-Generation Cybersecurity
AI, ML, and Blockchain
- Series -
- Physics and Astronomy (R0)
2024
EN
This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity ...
2023
EN
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 blockc...
Artificial Intelligence Using Federated Learning
Fundamentals, Challenges, and Applications
2024
EN
Accessible
Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of d...
2023
EN
The recent advancements in the field of the internet of things (IoT), AI, big data, blockchain, augmented reality (AR)/virtual reality (VR), cloud platforms, quantum computing, cybersecurity, and telecommunication technology enabled the promotion of conventional computer-aided industry to the metaverse ecosystem that is powered by AR/VR-driven technologies. In this paradigm shift, the integrated technologies of IoT and AI play a vital role to connect the cyberspace of computing systems and...
Cybernetic Shield
Securing the Future of Machine Intelligence
2025
EN
Accessible
Cybernetic Shield: Securing the Future of Machine Intelligence explores the critical intersection between cybersecurity and the rapid advancements in artificial intelligence. This book addresses the growing need for robust security measures in AI-driven systems by presenting cutting-edge strategies and frameworks that ensure the integrity, trust, and resilience of machine intelligence. It delves into a wide array of emerging cybersecurity challenges—from securing AI-integrated lea...
2025
EN
Cyber-physical systems, which integrate computation, networking, and physical processes, apply to various sectors like autonomous vehicles and smart grids. As these systems become more complex and interconnected, ensuring their safety while achieving high performance emerges as a critical challenge. Traditional model-based control methods often struggle to cope with uncertainties, unmodeled dynamics, and evolving environments. Alternatively, data-driven control leverages real-time data to ...
2024
EN
Accessible
This book offers an in-depth look at Industry 4.0’s applications and provides a conceptual framework for design principles and easy implementation. The book touches on the impact of Industry 4.0 and also examines the key technological advances and potential economic and technical benefits through case studies featuring real-world implementations.Industry 4.0 Key Technological Advances and Design Principles in Engineering, Education, Business, and Social Applications discusses the i...
2023
EN
A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and...
Information System Design: Sustainable Computing
Proceedings of Ninth International Conference on Information System Design and Intelligent Applications (ISDIA 2025), Volume 5
2026
EN
This book presents a collection of high-quality, peer-reviewed research papers from 9th International Conference on Information System Design and Intelligent Applications (ISDIA 2025), held in Dubai, UAE, from January 3–4, 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid ...
2022
EN
More individuals than ever are utilizing internet technologies to work from home, teach and learn, shop, interact with peers, review medical records, and more. While it is certainly convenient to conduct such tasks via the internet, this increased internet presence has also led to a rise in the search and availability of personal information, which in turn is resulting in more cyber-attacks, privacy breaches, and information leaks. Cyber criminals are using such opportunities to attack gov...
2023
EN
There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by ide...











