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Total Size:
26.2 MB
Info Hash:
99226A26AC724CE2E74A2B7FCAB4F918D2CD73D7
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Added:
April 21, 2026, 1:28 p.m.
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(Last updated: April 21, 2026, 1:33 p.m.)
| File | Size |
|---|---|
| Gururaj H.Artificial Intelligence for Military Applications with Blockchain 2025.epub | 13.1 MB |
| Gururaj H.Artificial Intelligence for Military Applications with Blockchain 2025.pdf | 13.1 MB |
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SOURCE: Gururaj H.Artificial Intelligence for Military Applications with Blockchain 2025
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COVER
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MEDIAINFO
Book in PDF and EPUB formats In an era where advanced technology plays a critical role in maintaining national security, Artificial Intelligence for Military Applications with Blockchain investigates how combining AI and blockchain could transform military operations. This comprehensive guide offers creative answers for contemporary military problems while addressing the most important defense-related concerns, from data security to decision-making. It explores constrained networking middleware for defense applications, guaranteeing smooth communication under critical circumstances. This book starts with an in-depth examination of blockchain’s potential to improve document management across defense departments, then moves to a detailed discussion of security and privacy in military applications. The integration of AI and blockchain in military context is then the main topic of discussion, along with its advantages, disadvantages, and real-time applications. The potential of blockchain and AI to protect data and streamline operations is also explored, providing readers with insights into the military and healthcare sectors. This book offers a thorough examination of the military’s current and future use of AI, as well as a breakdown of cybersecurity issues and how blockchain technology is being used to improve military cybersecurity. A dedicated chapter examines the ways in which blockchain technology is being used by computational intelligence to transform the defense environment. In the digital age, cybersecurity is paramount for military operations. AI contributes by detecting and responding to cyber threats in real-time. Machine learning algorithms analyze network traffic patterns, identify anomalies, and autonomously neutralize potential cyberattacks, fortifying the military’s cyber resilience. Preface Introduction Generic Framework for AI-Based E-Learning for Employee Training and Quality Learning Experience AI-Based Stock Market Prediction During War Period Traffic Road Sign Detection and Recognition Approach Using OCR Based on Efficient DET and ROI Extraction Recent Trends and Future Prospects of AI and Machine Learning in Decision Making Socio-Economic Impact Analysis of Russo-Ukrainian War Based on Tweets Using Opinion Mining Robotic Process Automation in Business Management Using Machine Learning Algorithms Contemporary Inclinations and Forthcoming Solicitations of AI and ML in Business Transformation Climate Smart Agriculture Analysis of Soil Properties and Weather Parameter Using Artificial Intelligence and Machine Learning A Novel Approach to Monitor Garbage System by Using LORA Technology Applications of AI-Based Decision Support System in Business Management Current Trends and Future of AI in Sales and Marketing Predicting Precious Metal Markets Using Custom Deep-Learning NARX Network: A Portfolio Application Leveraging Banking Customer Experience Through Artificial Intelligence: An Application of Structural Equation Modelling Recommender Systems Using AI and ML: Future of Sales and Marketing Trends and Future of AI in Sales and Marketing Predicting People’s Personalities from Their CVs, Using Machine Learning and Deep Learning
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