A taxonomy of food supply chain problems from a computational intelligence perspective

JS Angarita-Zapata, A Alonso-Vicario, AD Masegosa… - Sensors, 2021 - mdpi.com
In the last few years, the Internet of Things, and other enabling technologies, have been
progressively used for digitizing Food Supply Chains (FSC). These and other digitalization …

An encoded histogram of ridge bifurcations and contours for fingerprint presentation attack detection

R Mehboob, H Dawood, H Dawood - Pattern Recognition, 2023 - Elsevier
In recent years, the exponential growth of internet technologies has made personal
authentication an integral part of security applications. The fingerprint-based biometric …

Accelerating automatic hate speech detection using parallelized ensemble learning models

S Agarwal, A Sonawane, CR Chowdary - Expert Systems with Applications, 2023 - Elsevier
With increasing number of social media users and online engagement, it is essential to
study hate speech propagation on social media platforms (SMPs). Automatic hate speech …

Advancements and challenges in fingerprint presentation attack detection: a systematic literature review

DS Ametefe, SS Sarnin, DM Ali, GD Ametefe… - Neural Computing and …, 2024 - Springer
In the rapidly evolving domain of biometric security, the significance of Fingerprint
Presentation Attack Detection (FPAD) has become increasingly paramount, given the …

Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis

M Jain, H Kaur, B Gupta, J Gera, V Kalra - Scientific Reports, 2025 - nature.com
Abstract Domain-specific vocabulary, which is crucial in fields such as Information Retrieval
and Natural Language Processing, requires continuous updates to remain effective …

Leveraging deep learning to fingerprint spoof detectors: hitherto and futuristic perspectives

S Singh, A Selwal, D Sharma - International Journal of Pattern …, 2023 - World Scientific
Fingerprints being the most widely employed biometric trait, due to their high acceptability
and low sensing cost, have replaced the traditional methods of human authentication …

An ensemble semi-supervised adaptive resonance theory model with explanation capability for pattern classification

F Pourpanah, CP Lim, A Etemad… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Most semi-supervised learning (SSL) models entail complex structures and iterative training
processes as well as face difficulties in interpreting their predictions to users. To address …

SFincBuster: Spoofed fingerprint buster via incremental learning using leverage bagging classifier

D Sharma, A Selwal - Image and Vision Computing, 2023 - Elsevier
The fingerprint presentation attack detection (PAD) studies are extensively explored by
investigators to augment the security aspects of human authentication in biometric systems …

[PDF][PDF] Detecting and learning the unknown in semantic segmentation

R Chan, S Uhlemeyer, M Rottmann… - Deep Neural Networks …, 2022 - library.oapen.org
Semantic segmentation is a crucial component for perception in automated driving. Deep
neural networks (DNNs) are commonly used for this task, and they are usually trained on a …

Enhancing Fingerprint Authentication: A Systematic Review of Liveness Detection Methods Against Presentation Attacks

DS Ametefe, SS Sarnin, DM Ali… - Journal of The Institution …, 2024 - Springer
The robustness of automatic fingerprint identification systems (AFIS) against presentation
attacks, a pressing concern in biometric security, is critically dependent on the efficacy of …