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Recent advancement in 3d biometrics using monocular camera
Recent literature has witnessed significant interest towards 3D biometrics employing
monocular vision for robust authentication methods. Motivated by this, in this work we seek …
monocular vision for robust authentication methods. Motivated by this, in this work we seek …
Decisive data using multi-modality optical sensors for advanced vehicular systems
Optical sensors have played a pivotal role in acquiring real world data for critical
applications. This data, when integrated with advanced machine learning algorithms …
applications. This data, when integrated with advanced machine learning algorithms …
Lightweight monocular depth estimation network for robotics using intercept block GhostNet
This study introduces a novel deep learning approach for monocular depth estimation that
exhibits excellent performance while utilizing significantly fewer computational and memory …
exhibits excellent performance while utilizing significantly fewer computational and memory …
An Efficient Deep Convolutional Neural Networks Model for Genomic Sequence Classification
Identifying and classifying deoxyribonucleic acid (DNA) sequences is a crucial task in
genomics analysis. Deep learning models have shown great potential in this area, with …
genomics analysis. Deep learning models have shown great potential in this area, with …