Palmprint Recognition: Extensive exploration of databases, methodologies, comparative assessment, and future directions
N Amrouni, A Benzaoui, A Zeroual - Applied Sciences, 2023 - mdpi.com
This paper presents a comprehensive survey examining the prevailing feature extraction
methodologies employed within biometric palmprint recognition models. It encompasses a …
methodologies employed within biometric palmprint recognition models. It encompasses a …
Human cutaneous leishmaniasis in north Africa and its threats to public health: A statistical study focused on Djelfa (Algeria)
Cutaneous leishmaniasis, the most common form of leishmaniasis, causes long-term skin
lesions on exposed areas of the skin. It is caused by a protozoan parasite belonging to the …
lesions on exposed areas of the skin. It is caused by a protozoan parasite belonging to the …
Artificial intelligence empowers gamification: Optimizing student engagement and learning outcomes in e-learning and moocs.
YA Bachiri, H Mouncif… - International Journal of …, 2023 - search.ebscohost.com
In this era of Artificial Intelligence (AI) growth, characterized by advances in the Large
Language Models (LLMs) used by ChatGPT and Bard, this study examines the effects of …
Language Models (LLMs) used by ChatGPT and Bard, this study examines the effects of …
The Unconstrained Ear Recognition Challenge 2023: Maximizing Performance and Minimizing Bias
The paper provides a summary of the 2023 Unconstrained Ear Recognition Challenge
(UERC), a benchmarking effort focused on ear recognition from images acquired in …
(UERC), a benchmarking effort focused on ear recognition from images acquired in …
B3D-EAR: Binarized 3D descriptors for ear-based human recognition
Traditional 3D feature descriptors often utilize real-valued vectors, posing challenges in
terms of computational complexity and space constraints during matching. This study …
terms of computational complexity and space constraints during matching. This study …
Anti-Software Attack Ear Identification System Using Deep Feature Learning and Blockchain Protection
X Xu, Y Liu, C Liu, L Lu - Symmetry, 2024 - mdpi.com
Ear recognition has made good progress as an emerging biometric technology. However,
the recognition performance, generalization ability, and feature robustness of ear …
the recognition performance, generalization ability, and feature robustness of ear …
Csa-gru: a hybrid CNN and self attention GRU for human identification using ear biometrics
Biometric-based personal authentication systems have experienced significant demand,
primarily driven by growing concerns surrounding privacy and security in various …
primarily driven by growing concerns surrounding privacy and security in various …
[PDF][PDF] Advancing Biometric Identity Recognition with Optimized Deep Convolutional Neural Networks.
H Alshazly, H Elmannai, RI Alkanhel… - Traitement du …, 2024 - researchgate.net
Biometric identity recognition, capitalizing on unique physical attributes, represents an
increasingly explored research field within the biometrics community, with implications …
increasingly explored research field within the biometrics community, with implications …
Federated Learning for Multi-institutional on 3D Brain Tumor Segmentation
Accurate segmentation of brain tumours images is crucial for diagnosis, treatment planning,
and monitoring of disease progression. However, acquiring sufficient medical imaging data …
and monitoring of disease progression. However, acquiring sufficient medical imaging data …
Comparative Analysis of Security-Focused Blockchain Architectures: Optimising Security in IoT
C Benali - 2024 6th International Conference on Pattern …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) poses serious security risks and issues due to its growing
number of linked devices. This paper conducts a comparative analysis of various security …
number of linked devices. This paper conducts a comparative analysis of various security …