Zobrazeno 1 - 10
of 113
pro vyhledávání: '"HUSSAIN, FARAZ"'
Autor:
Shadman, Rashik, Wahab, Ahmed Anu, Manno, Michael, Lukaszewski, Matthew, Hou, Daqing, Hussain, Faraz
Reliably identifying and verifying subjects remains integral to computer system security. Various novel authentication techniques such as biometric authentication systems have been devised in recent years. This paper surveys keystroke-based authentic
Externí odkaz:
http://arxiv.org/abs/2303.04605
Fingerprint-based identification systems achieve higher accuracy when a slap containing multiple fingerprints of a subject is used instead of a single fingerprint. However, segmenting or auto-localizing all fingerprints in a slap image is a challengi
Externí odkaz:
http://arxiv.org/abs/2303.03341
Publikováno v:
In 2021 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) (pp. 1-4). IEEE
Many fingerprint recognition systems capture four fingerprints in one image. In such systems, the fingerprint processing pipeline must first segment each four-fingerprint slap into individual fingerprints. Note that most of the current fingerprint se
Externí odkaz:
http://arxiv.org/abs/2110.04067
Convolutional neural networks (CNN) are now being widely used for classifying and detecting pulmonary abnormalities in chest radiographs. Two complementary generalization properties of CNNs, translation invariance and equivariance, are particularly u
Externí odkaz:
http://arxiv.org/abs/2109.00573
Trust in predictions made by machine learning models is increased if the model generalizes well on previously unseen samples and when inference is accompanied by cogent explanations of the reasoning behind predictions. In the image classification dom
Externí odkaz:
http://arxiv.org/abs/2008.02866
Supermarkets need to ensure clean and safe environments for both shoppers and employees. Slips, trips, and falls can result in injuries that have a physical as well as financial cost. Timely detection of hazardous conditions such as spilled liquids o
Externí odkaz:
http://arxiv.org/abs/2003.04116
The use of transfer learning with deep neural networks has increasingly become widespread for deploying well-tested computer vision systems to newer domains, especially those with limited datasets. We describe a transfer learning use case for a domai
Externí odkaz:
http://arxiv.org/abs/2003.04117
The integration of artificial intelligence capabilities into modern software systems is increasingly being simplified through the use of cloud-based machine learning services and representational state transfer architecture design. However, insuffici
Externí odkaz:
http://arxiv.org/abs/2003.01538
Akademický článek
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Autor:
Murshed, M. G. Sarwar, Murphy, Christopher, Hou, Daqing, Khan, Nazar, Ananthanarayanan, Ganesh, Hussain, Faraz
Publikováno v:
ACM Comput. Surv. 54, 8, Article 170 (November 2022)
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, which is an appealing target for AI systems. However, deploying machine
Externí odkaz:
http://arxiv.org/abs/1908.00080