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of 317
pro vyhledávání: '"Chilukuri K"'
We present a novel adversarial model for authentication systems that use gait patterns recorded by the inertial measurement unit (IMU) built into smartphones. The attack idea is inspired by and named after the concept of a dictionary attack on knowle
Externí odkaz:
http://arxiv.org/abs/2309.11766
Fake news can significantly misinform people who often rely on online sources and social media for their information. Current research on fake news detection has mostly focused on analyzing fake news content and how it propagates on a network of user
Externí odkaz:
http://arxiv.org/abs/1911.00643
Akademický článek
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Autor:
Biswas, Manek, Mohan, Chilukuri K.
Publikováno v:
In Procedia Computer Science 2015 70:668-675
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::172977c36a5e92e0d2031f14dbd9bd62
https://doi.org/10.1145/3520304.3533954
https://doi.org/10.1145/3520304.3533954
Publikováno v:
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 4
Three-point bending fatigue compliance datasets of multi-layer fiberglass-weave/epoxy test specimens, including 5 and 10 mil interlayers, were analyzed using artificial intelligence (AI) methods along with statistical analysis, revealing the existenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e35353fcad9afed33f42af5f4267930
https://doi.org/10.1115/1.4051903
https://doi.org/10.1115/1.4051903
Autor:
Chilukuri K. Mohan, Nishant Rodrigues
Publikováno v:
GECCO Companion
The Particle Swarm Optimization (PSO) algorithm updates each individual's velocity and position using its own prior best position and the best position found so far by any particle. Effective search for global optima can benefit if each particle may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ae524ad12e14b584f2c1b19c45914cb
https://doi.org/10.1145/3377929.3398112
https://doi.org/10.1145/3377929.3398112
Publikováno v:
IJCNN
We tackle the challenge of Zero-Shot identification of authors of source code, which can be used with no prior samples of authors outside of the training data. In our approach, a feedforward neural network is first trained on a multi-class classifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08fe4b85f5d9605d53f5217f711ecf82
https://doi.org/10.1109/ijcnn48605.2020.9207647
https://doi.org/10.1109/ijcnn48605.2020.9207647
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783030426989
Fake news can significantly misinform people who often rely on online sources and social media for their information. Current research on fake news detection has mostly focused on analyzing fake news content and how it propagates on a network of user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dde7828621fdcf491a01450952b20bf8
https://doi.org/10.1007/978-3-030-42699-6_9
https://doi.org/10.1007/978-3-030-42699-6_9
Publikováno v:
In Information Fusion 2007 8(3):281-294