Beyond the Toll‐Like Receptor 4. Structure‐Dependent Lipopolysaccharide Recognition Systems: How far are we?
Sign Up to like & getrecommendations! Published in 2025 at "Chemmedchem"
DOI: 10.1002/cmdc.202400780
Abstract: With an enormous potential in immunology and vaccinology, lipopolysaccharides (LPSs) are among the most extensively studied bacteria‐derived molecules. LPS centered studies are countless, and their results reverberate in all areas of the life sciences, including… read more here.
Keywords: like receptor; toll like; recognition systems;
A systematic review of multilingual numeral recognition systems
Sign Up to like & getrecommendations! Published in 2025 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-025-11105-0
Abstract: Multilingual numeral recognition systems in online-offline environments play an essential role in several applications like banking or financial transactions, educational sectors, hospitals, etc. Several approaches have been proposed and executed for multilingual numeral recognition for… read more here.
Keywords: numeral recognition; recognition systems; recognition; systematic review ... See more keywords
Pattern-Based Recognition Systems: Overcoming the Problem of Mixtures.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: pattern based; based recognition; systems overcoming; recognition systems ... See more keywords
Face Recognition Systems Under Morphing Attacks: A Survey
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: systems morphing; face; face recognition; recognition systems ... See more keywords
Deep Investigation of the Recent Advances in Dialectal Arabic Speech Recognition
Sign Up to like & getrecommendations! 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… read more here.
Keywords: speech; dialectal arabic; arabic speech; speech recognition ... See more keywords
IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach
Sign Up to like & getrecommendations! 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… read more here.
Keywords: biometric recognition; identity verification; recognition systems; verification ... See more keywords
Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors
Sign Up to like & getrecommendations! 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… read more here.
Keywords: recognition; improving emotion; eeg; emotion recognition ... See more keywords
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices
Sign Up to like & getrecommendations! 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… read more here.
Keywords: inconspicuous adversarial; adversarial patches; recognition systems; image ... See more keywords
IS-WARS: Intelligent and Stealthy Adversarial Attack to Wi-Fi-Based Human Activity Recognition Systems
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: recognition; human activity; adversarial attack; based human ... See more keywords
RobFace: A Test Suite for Efficient Robustness Evaluation of Face Recognition Systems
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2025.3554575
Abstract: Face recognition is a widely used authentication technology in practice, where robustness is required. It is thus essential to have an efficient and easy-to-use method for evaluating the robustness of (possibly third-party) trained face recognition… read more here.
Keywords: robustness; recognition systems; face; face recognition ... See more keywords
Remote Perception Attacks against Camera-based Object Recognition Systems and Countermeasures
Sign Up to like & getrecommendations! 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… read more here.
Keywords: based object; camera based; object recognition; perception ... See more keywords