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Published in 2020 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.0c04062
Abstract: The transformative potential of pattern-based sensing techniques is often hampered by their difficulty in dealing with mixtures of analytes, a drawback that severely limits the applications of this sensing approach (the "problem of mixtures"). We…
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Keywords:
pattern based;
based recognition;
systems overcoming;
recognition systems ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2899367
Abstract: Recently, researchers found that the intended generalizability of (deep) face recognition systems increases their vulnerability against attacks. In particular, the attacks based on morphed face images pose a severe security risk to face recognition systems.…
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Keywords:
systems morphing;
face;
face recognition;
recognition systems ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3177191
Abstract: Speech recognition systems play an important role in human–machine interactions. Many systems exist for Arabic speech, however, there are limited systems for dialectal Arabic speech. The Arabic language comprises many properties, some of which are…
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Keywords:
speech;
dialectal arabic;
arabic speech;
speech recognition ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3253024
Abstract: Traditional identity verification of students based on the human proctoring approach can cause a scam identity verification and ineffective processing time, particularly among vast groups of students. Most student identification cards outdated personal information. Several…
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Keywords:
biometric recognition;
identity verification;
recognition systems;
verification ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3268233
Abstract: Electroencephalography (EEG)-based emotion recognition is gaining increasing importance due to its potential applications in various scientific fields, ranging from psychophysiology to neuromarketing. A number of approaches have been proposed that use machine learning (ML) technology…
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Keywords:
recognition;
improving emotion;
eeg;
emotion recognition ... See more keywords
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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3124815
Abstract: Deep learning based image recognition systems have been widely deployed on mobile devices in today's world. In recent studies, however, deep learning models are shown vulnerable to adversarial examples. One variant of adversarial examples, called…
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Keywords:
inconspicuous adversarial;
adversarial patches;
recognition systems;
image ... See more keywords
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Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3110480
Abstract: The non-intrusive human activity recognition has been envisioned as a key enabler for many emerging applications requiring interactions between humans and computing systems. To accurately recognize different human behaviors, ubiquitous wireless signals are widely adopted,…
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Keywords:
recognition;
human activity;
adversarial attack;
based human ... See more keywords
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Published in 2023 at "ACM Transactions on Cyber-Physical Systems"
DOI: 10.1145/3596221
Abstract: In vision-based object recognition systems imaging sensors perceive the environment and then objects are detected and classified for decision-making purposes; e.g., to maneuver an automated vehicle around an obstacle or to raise alarms for intruders…
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Keywords:
based object;
camera based;
object recognition;
perception ... See more keywords