Multimodal biometric system based on fusion techniques: a review
Biometric allude to an automatic procedure of acknowledging an individual utilizing their
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …
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 …
deformation, or moving objects. Various measurement techniques were developed for …
Multibranch feature difference learning network for cross-spectral image patch matching
Cross-spectral image patch matching is still challenging due to significant nonlinear
differences between image patches. Recently, image patch matching methods based on …
differences between image patches. Recently, image patch matching methods based on …
LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR
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 …
break the barriers that sketch drawing requires excellent skills and is time-consuming …
Dynamic evaluation of degradation space variation for machine condition monitoring
Health indicators (HIs), which can make quantitative measures at different operating states,
are critical in machine condition monitoring (MCM). However, inadequate characterization of …
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 …
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 …
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 …
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 …
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 …
spectral image patch matching, which, however, is still far from satisfactory for practical …