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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 …
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 …
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
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 …
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
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 …
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 …
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
Estimating 3D hand poses from monocular RGB images presents a series of challenges,
including complex hand structures, self-occlusions, and depth ambiguities. Existing methods …
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
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 …
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 …
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 …
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
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 …
Transformer-based models in natural language processing (NLP) and various visual tasks …