[HTML][HTML] In-sensor reservoir computing system for latent fingerprint recognition with deep ultraviolet photo-synapses and memristor array

Z Zhang, X Zhao, X Zhang, X Hou, X Ma, S Tang… - Nature …, 2022 - nature.com
Detection and recognition of latent fingerprints play crucial roles in identification and
security. However, the separation of sensor, memory, and processor in conventional ex-situ …

[HTML][HTML] A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems

S Wang, Y Yue, S Cai, X Li, C Chen, H Zhao, T Li - Scientific Reports, 2024 - nature.com
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-
ESS) play an important role in improving energy efficiency, ensuring grid stability and …

Multifunctional Eu (III)-modified HOFs: roxarsone and aristolochic acid carcinogen monitoring and latent fingerprint identification based on artificial intelligence

K Zhu, B Yan - Materials Horizons, 2023 - pubs.rsc.org
The exploration of multifunctional materials and intelligent technologies used for
fluorescence sensing and latent fingerprint (LFP) identification is a research hotspot of …

[HTML][HTML] Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques

V Rajasekar, MP Vaishnnave, S Premkumar… - Results in …, 2023 - Elsevier
Lung cancer is characterized by the uncontrollable growth of cells in the lung tissues. Early
diagnosis of malignant cells in the lungs, which provide oxygen to the human body and …

Unleashing the Power of Quantum Dots: Emerging Applications from Deep‐Ultraviolet Photodetectors for Brighter Futures

T Park, DH Lee, J Hur, H Yoo - Advanced Optical Materials, 2024 - Wiley Online Library
Since their discovery in 1981, quantum dots (QDs) have been the center of attention in
optoelectronic fields owing to their excellent properties such as clearly discrete band …

[PDF][PDF] Security and privacy in smart city: a secure e-voting system based on blockchain

FZ Chentouf, S Bouchkaren - International Journal of …, 2023 - pdfs.semanticscholar.org
In recent years, the internet of things (IoT) growth has brought about many technological
changes, including the emergence of the notion of the smart city. The development of a …

[HTML][HTML] Optimized gravitational search algorithm for feature fusion in a multimodal biometric system

FW Ipeayeda, MO Oyediran, SA Ajagbe, JO Jooda… - Results in …, 2023 - Elsevier
In recent years, multimodal biometric systems have gained significant attention due to their
capacity to enhance recognition accuracy and robustness. The integration of multiple …

A secure multi-modal biometrics using deep ConvGRU neural networks based hashing

TS Sasikala - Expert Systems with Applications, 2024 - Elsevier
Unimodal biometrics has various issues: noisy data, inter-class similarities, intra-class
similarities, spoofing, and non-universality, making this system less secure and accurate …

Deep Hybrid Multimodal Biometric Recognition System Based on Features‐Level Deep Fusion of Five Biometric Traits

MH Safavipour, MA Doostari… - Computational …, 2023 - Wiley Online Library
The need for information security and the adoption of the relevant regulations is becoming
an overwhelming demand worldwide. As an efficient solution, hybrid multimodal biometric …

[HTML][HTML] Enhanced multimodal biometric recognition systems based on deep learning and traditional methods in smart environments

S A. El_Rahman, AS Alluhaidan - Plos one, 2024 - journals.plos.org
In the field of data security, biometric security is a significant emerging concern. The
multimodal biometrics system with enhanced accuracy and detection rate for smart …