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Artificial Intelligence for Global Counter-Terrorism : Utilizing Deep Learning and Innovative Strategies / / edited by Christian Kaunert, Bhupinder Singh, Rhishikesh Dave, Sally Lukose, Anjali Raghav
| Artificial Intelligence for Global Counter-Terrorism : Utilizing Deep Learning and Innovative Strategies / / edited by Christian Kaunert, Bhupinder Singh, Rhishikesh Dave, Sally Lukose, Anjali Raghav |
| Autore | Kaunert Christian |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (291 pages) |
| Disciplina | 327.116 |
| Altri autori (Persone) |
SinghBhupinder
DaveRhishikesh LukoseSally RaghavAnjali |
| Collana | Contributions to Security and Defence Studies |
| Soggetto topico |
Security, International
Terrorism Political violence Artificial intelligence Politics and war Machine learning International Security Studies Terrorism and Political Violence Artificial Intelligence Military and Defence Studies Machine Learning |
| ISBN |
9783031992353
9783031992346 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Artificial Intelligence and Drone Technology in Counterterrorism -- Chapter 2. AI Applications in Global Counterterrorism Efforts: Challenges, Compliance and Regulatory Gaps -- Chapter 3. Ethical Considerations in AI Driven Counterterrorism -- Chapter 4. Evolving Role of Autonomous Systems in Counter-Terrorism -- Chapter 5. Impact Assessment of Artificial Intelligence (AI) on Human Rights and Privacy: Curbing Global Digital Terrorism with Legal Measures -- Chapter 6. Impact of AI on Human Rights and Privacy in Counterterrorism: Legal and Ethical Perspectives -- Chapter 7. Legal Implications of Using AI in Security Operations -- Chapter 8. Leveraging AI and Cybersecurity for Proactive Counterterrorism: Strategies, Risks and Future Trends -- Chapter 9. The Algorithmic Panopticon: Artificial Intelligence, Mass Surveillance and the Death of Privacy -- Chapter 10. The Role of AI in Enhancing Predictive Policing to Prevent Terrorism -- Chapter 11. Exploring Facial Recognition Technology in Counterterrorism: AI in Surveillance and Monitoring -- Chapter 12. AI-Driven Predictive Analytics for Threat Assessment. |
| Record Nr. | UNINA-9911034958803321 |
Kaunert Christian
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Friction Ridge Analysis : Applications of Nanoparticles for Latent Fingerprint Development / / edited by Kumud Kant Awasthi, Mahipal Singh Sankhla, Sally Lukose, Kapil Parihar
| Friction Ridge Analysis : Applications of Nanoparticles for Latent Fingerprint Development / / edited by Kumud Kant Awasthi, Mahipal Singh Sankhla, Sally Lukose, Kapil Parihar |
| Autore | Awasthi Kumud Kant |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (173 pages) |
| Disciplina | 363.258 |
| Altri autori (Persone) |
SankhlaMahipal Singh
LukoseSally PariharKapil |
| Collana | Materials Horizons: From Nature to Nanomaterials |
| Soggetto topico |
Nanoparticles
Biophysics Forensic sciences Nanotechnology Criminal law Bioanalysis and Bioimaging Forensic Science Criminal Law and Criminal Procedure Law |
| ISBN |
9789819940288
9819940281 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Nanotechnology and Fingerprinting -- Chapter 2: Nanoparticles for Development & Detection of Fingerprints -- Chapter 3: Chemistry of Nanomaterials for finger printing -- Chapter 4: Quantum Dots in Fingerprinting -- Chapter 5: Florescent Nanoparticles in Fingerprinting -- Chapter 6: Nanocomposite and hybrid materials for fingerprints -- Chapter 7: Carbon based Nanomaterial -- Chapter 8: Silver & Gold Nanoparticles Development of Fingerprint -- Chapter 9: Zinc Oxide Nanoparticles (ZnO-NPs) -- Chapter 10: Silica Nanoparticles for Development of Fingerprints -- Chapter 11: Iron Oxide for development of Fingerprints -- Chapter 12: Aluminum oxide nanoparticles for development of Fingerprints -- Chapter 13: Green synthesized nanoparticles for development of Latent Fingerprint -- Chapter 14: Smart material design and development of Fingerprint -- Chapter 15: functionalized nanomaterials use of development Fingerprint -- Chapter 16: Modeling and simulations involved in fingerprinting. |
| Record Nr. | UNINA-9910741170903321 |
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Awasthi Kumud Kant
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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