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Titlebook: Recent Advances in Computational Intelligence in Defense and Security; Rami Abielmona,Rafael Falcon,Hussein A. Abbass Book 2016 Springer I

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樓主: Gram114
51#
發(fā)表于 2025-3-30 09:57:49 | 只看該作者
Privacy, Security and Convenience: Biometric Encryption for Smartphone-Based Electronic Travel Documal by virtue of a privacy–respecting biometrically derived key, and which make use of privacy-respecting digital credentials technology. Currently travel documentation rely either on paper documents or electronic systems requiring connectivity to core servers and databases at the time of verificatio
52#
發(fā)表于 2025-3-30 14:59:42 | 只看該作者
53#
發(fā)表于 2025-3-30 16:53:20 | 只看該作者
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發(fā)表于 2025-3-30 23:58:49 | 只看該作者
Book 2016e scientists, industry experts, academicians and practitioners alike will all benefit from the wide spectrum of successful applications compiled in this volume. Senior undergraduate or graduate students may also discover uncharted territory for their own research endeavors..
55#
發(fā)表于 2025-3-31 04:00:46 | 只看該作者
Computational Intelligence Methods in Forward-Looking Explosive Hazard Detectione learning methods, including deep learners and iECO learning. We demonstrate the performance of several algorithms using FLGPR and FLIR data collected at a US Army test site. The summary of this work is that deep belief networks and evolutionary approaches to feature learning were shown to be very effective both for FLGPR and FLIR based EHD.
56#
發(fā)表于 2025-3-31 05:57:08 | 只看該作者
Semi-Supervised Classification System for the Detection of Advanced Persistent Threatsd and unlabelled data. Three computational intelligence methods were employed to train classifiers, namely genetic programming, decision trees and support vector machines. The results show their potential in the fight against APTs.
57#
發(fā)表于 2025-3-31 12:00:56 | 只看該作者
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發(fā)表于 2025-3-31 17:24:40 | 只看該作者
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