A survey of fingerprint recognition systems and their applications

PS Prasad, B Sunitha Devi, M Janga Reddy… - … 2018: Proceedings of …, 2019 - Springer
Recognition for authentication using biometrics is an intricate pattern recognizing technique.
The process is really hard to architect and design, and choosing precise algorithms …

An online trajectory guidance framework via imitation learning and interactive feedback in robot-assisted surgery

Z Chen, K Fan - Neural Networks, 2025 - Elsevier
Improving the manipulation performance of surgical instruments is important for novice
surgeons, as it directly affects the safety and outcome of robot-assisted surgery. To reduce …

An automated anti-pornography system using a skin detector based on artificial intelligence: A review

AA Zaidan, HA Karim, NN Ahmad… - International Journal of …, 2013 - World Scientific
Unprecedented advances in Internet technologies with multimedia capabilities have
enabled pornography and adult content to be widely and freely distributed as easy as a click …

[HTML][HTML] Object segmentation for image indexing in large database

J Sikder, MK Islam, F Jahan - Journal of King Saud University-Computer …, 2024 - Elsevier
It is a challenging task to devise an effective model for object segmentation considering
numerous classes because different classes might have different features and different …

On-line set-point optimization for intelligent supervisory control and improvement of Q-learning convergence

SH Kim, KR Song, IY Kang, CI Hyon - Control Engineering Practice, 2021 - Elsevier
This paper proposes a design method of the Q-learning based intelligent supervisory control
system (ISCS) for optimal operation of the three step kiln process and a new practical …

GTIGNet: Global Topology Interaction Graphormer Network for 3D hand pose estimation

Y Liu, W Fan, C Wang, S Wen, X Yang, Q Zhang, X Wei… - Neural Networks, 2025 - Elsevier
Estimating 3D hand poses from monocular RGB images presents a series of challenges,
including complex hand structures, self-occlusions, and depth ambiguities. Existing methods …

HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments

A Esmaeilzehi, E Khazaei, K Wang, NK Kalsi… - Pattern Recognition …, 2024 - Elsevier
In recent years, deep neural networks (DNNs) have provided high performances for various
tasks, such as human activity recognition (HAR), in view of their end-to-end training process …

Coupled double consensus multi-graph fusion for multi-view clustering

T Wu, GF Lu - Information Sciences, 2024 - Elsevier
Multi-view graph clustering (MVGC) is a technique that combines information from multiple
views to perform clustering analysis on graph data. However, the consensus information …

[PDF][PDF] Fingerprint voting system using Arduino

A Piratheepan, S Sasikaran… - Middle-East Journal of …, 2017 - academia.edu
Fingerprint Voting System was implemented with the Arduino technology. In this System a
voter can poll his vote easily. In this database server all voters' information was stored to …

Evolution of transformer-based optical flow estimation techniques: a survey

N Kumar, OP Verma, AS Parihar - Multimedia Tools and Applications, 2024 - Springer
Optical flow plays a crucial role in computer vision, and with the rapid advancements of
Transformer-based models in natural language processing (NLP) and various visual tasks …