Multimodal biometric system based on fusion techniques: a review

N Bala, R Gupta, A Kumar - Information Security Journal: A Global …, 2022 - Taylor & Francis
Biometric allude to an automatic procedure of acknowledging an individual utilizing their
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …

Non-contact optical dynamic measurements at different ranges: a review

Y Fu, Y Shang, W Hu, B Li, Q Yu - Acta Mechanica Sinica, 2021 - Springer
Optical dynamic measurements are widely used for non-contact vibration, continuous
deformation, or moving objects. Various measurement techniques were developed for …

Multibranch feature difference learning network for cross-spectral image patch matching

C Yu, Y Liu, C Li, L Qi, X Xia, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cross-spectral image patch matching is still challenging due to significant nonlinear
differences between image patches. Recently, image patch matching methods based on …

LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR

D Dai, Y Liu, Y Li, S Fu, S Xia… - IEEE Transactions on Big …, 2024 - ieeexplore.ieee.org
On-the-fly Fine-grained sketch-based image retrieval (On-the-fly FG-SBIR) framework aim to
break the barriers that sketch drawing requires excellent skills and is time-consuming …

Dynamic evaluation of degradation space variation for machine condition monitoring

G Zhang, Y Wang, X Li, Y Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Health indicators (HIs), which can make quantitative measures at different operating states,
are critical in machine condition monitoring (MCM). However, inadequate characterization of …

The performance of Siamese neural network for face recognition using different activation functions

AAR Putra, S Setumin - 2021 International Conference of …, 2021 - ieeexplore.ieee.org
The state-of-the-art method for image identification tends to achieve high performance.
However, it requires a vast set of datasets making it infeasible to train machine learning …

Object-assisted question featurization and multi-CNN image feature fusion for visual question answering

S Manmadhan, BC Kovoor - International Journal of Intelligent …, 2023 - igi-global.com
Visual question answering (VQA) demands a meticulous and concurrent proficiency in
image interpretation and natural language understanding to correctly answer the question …

[PDF][PDF] Analysis of Teaching-Learning Efficiency Using Attribute Based Double Bounded Rough Neutrosophic Set Driven Random Forests

B Praba, SS Subramaniya, D Nagarajan… - Neutrosophic Sets and …, 2023 - fs.unm.edu
Face-on-Face interaction constitutes an integral part of the classroom atmosphere as it
provides teachers with an opportunity to understand their students intimately. Hence, this …

Assessment of tunnel damage potential by ground motion using canonical correlation analysis

C Chen, P Geng, W Gu, Z Lu, B Ren - Earthquakes and Structures, 2022 - koreascience.kr
In this study, we introduce a canonical correlation analysis method to accurately assess the
tunnel damage potential of ground motion. The proposed method can retain information …

Learning multi-domain feature relation for visible and Long-wave Infrared image patch matching

X Zhang, Y Li, Z Qi, Y Sun, Y Zhang - arXiv preprint arXiv:2308.04880, 2023 - arxiv.org
Recently, learning-based algorithms have achieved promising performance on cross-
spectral image patch matching, which, however, is still far from satisfactory for practical …