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Priority-based multi-feature vector model using convolution neural network for biometric authentication
S Madduluri, TK Kumar - International Journal of Computational …, 2024 - Springer
Many societal institutions have increased standards for the efficacy and dependability of
identification systems in response to the ever-increasing sophistication of computer …
identification systems in response to the ever-increasing sophistication of computer …
AI-assisted authentication: state of the art, taxonomy and future roadmap
G Zhu, Y Al-Qaraghuli - arxiv preprint arxiv:2204.12492, 2022 - arxiv.org
Artificial Intelligence (AI) has found its applications in a variety of environments ranging from
data science to cybersecurity. AI helps break through the limitations of traditional algorithms …
data science to cybersecurity. AI helps break through the limitations of traditional algorithms …
[PDF][PDF] Sentiment and Toxicity Analysis of Biometric Authentication and Facial Recognition Technology Content Reviews using Cross-Industry Standard Process for …
YA Singgalen - Journal of Computer System and Informatics …, 2024 - researchgate.net
Abstract− This study investigates sentiment analysis methodologies within the framework of
CRISP-DM (Cross-Industry Standard Process for Data Mining), aiming to discern the efficacy …
CRISP-DM (Cross-Industry Standard Process for Data Mining), aiming to discern the efficacy …
Adversarial Reprogramming as Natural Multitask and Compression Enabler
SI Rufaida, JS Leu - 2023 IEEE 97th Vehicular Technology …, 2023 - ieeexplore.ieee.org
Deep learning models that exceed human capability are also pruned to error when facing
adversarial attacks. Recent works on adversarial reprogramming have unleashed the …
adversarial attacks. Recent works on adversarial reprogramming have unleashed the …