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Rebooting data-driven soft-sensors in process industries: A review of kernel methods
Soft-sensors usually assist in dealing with the unavailability of hardware sensors in process
industries, thus allowing for less fault occurrence and better control performance. However …
industries, thus allowing for less fault occurrence and better control performance. However …
Artificial intelligence-enabled deep learning model for multimodal biometric fusion
The goal of information security is to prevent unauthorized access to data. There are several
conventional ways to confirm user identity, such as using a password, user name, and keys …
conventional ways to confirm user identity, such as using a password, user name, and keys …
Deep multimodal biometric recognition using contourlet derivative weighted rank fusion with human face, fingerprint and iris images
Sažetak The goal of multimodal biometric recognition system is to make a decision by
identifying their physiological behavioural traits. Nevertheless, the decision-making process …
identifying their physiological behavioural traits. Nevertheless, the decision-making process …
[PDF][PDF] An overview on multi-biometric score-level fusion
N Damer, A Opel, A Shahverdyan - Proceedings of the 2nd …, 2013 - scitepress.org
Multi-biometrics is the use of multiple biometric recognition sources to provide a more
dependable verification or identification decision. Fusion of multi-biometric sources can be …
dependable verification or identification decision. Fusion of multi-biometric sources can be …
Examination of collegiate student-athlete concussion reporting intentions and behavior
Background: Clinicians rely on student-athletes to self-report concussion symptoms, but
more than 50% of concussions go undisclosed. Aim: The aim of this study was to determine …
more than 50% of concussions go undisclosed. Aim: The aim of this study was to determine …
A comparison of imputation methods for handling missing scores in biometric fusion
Y Ding, A Ross - Pattern Recognition, 2012 - Elsevier
Multibiometric systems, which consolidate or fuse multiple sources of biometric information,
typically provide better recognition performance than unimodal systems. While fusion can be …
typically provide better recognition performance than unimodal systems. While fusion can be …
Reconstruction of missing channel in electroencephalogram using spatiotemporal correlation-based averaging
N Bahador, J Jokelainen, S Mustola… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Electroencephalogram (EEG) recordings often contain large segments with
missing signals due to poor electrode contact or other artifact contamination. Recovering …
missing signals due to poor electrode contact or other artifact contamination. Recovering …
Strategies for exploiting independent cloud implementations of biometric experts in multibiometric scenarios
Cloud computing represents one of the fastest growing areas of technology and offers a new
computing model for various applications and services. This model is particularly interesting …
computing model for various applications and services. This model is particularly interesting …
A kernel-based framework for medical big-data analytics
The recent trend towards standardization of Electronic Health Records (EHRs) represents a
significant opportunity and challenge for medical big-data analytics. The challenge typically …
significant opportunity and challenge for medical big-data analytics. The challenge typically …
Fusing voice and query data for non-invasive detection of laryngeal disorders
Topic of this study is exploration and fusion of non-invasive measurements for an accurate
detection of pathological larynx. Measurements for human subject encompass answers to …
detection of pathological larynx. Measurements for human subject encompass answers to …