Rebooting data-driven soft-sensors in process industries: A review of kernel methods

Y Liu, M **e - Journal of Process Control, 2020 - Elsevier
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 …

Artificial intelligence-enabled deep learning model for multimodal biometric fusion

H Byeon, V Raina, M Sandhu, M Shabaz… - Multimedia Tools and …, 2024 - Springer
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 …

Deep multimodal biometric recognition using contourlet derivative weighted rank fusion with human face, fingerprint and iris images

K Gunasekaran, J Raja, R Pitchai - Automatika: časopis za automatiku …, 2019 - hrcak.srce.hr
Sažetak The goal of multimodal biometric recognition system is to make a decision by
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 …

Examination of collegiate student-athlete concussion reporting intentions and behavior

MLW Rawlins, DW Suggs, L Bierema… - Journal of clinical …, 2020 - pmc.ncbi.nlm.nih.gov
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 …

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 …

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 …

Strategies for exploiting independent cloud implementations of biometric experts in multibiometric scenarios

P Peer, Ž Emeršič, J Bule… - Mathematical …, 2014 - Wiley Online Library
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 …

A kernel-based framework for medical big-data analytics

D Windridge, M Bober - Interactive Knowledge Discovery and Data Mining …, 2014 - Springer
The recent trend towards standardization of Electronic Health Records (EHRs) represents a
significant opportunity and challenge for medical big-data analytics. The challenge typically …

Fusing voice and query data for non-invasive detection of laryngeal disorders

E Vaiciukynas, A Verikas, A Gelzinis… - Expert Systems With …, 2015 - Elsevier
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 …