Lenka Krpalkova

According to our database, Lenka Krpalkova authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep Learning-Based Boolean, Time Series, Error Detection, and Predictive Analysis in Container Crane Operations.

Amruta Awasthi, Lenka Krpalkova, Joseph Walsh

Algorithms, August, 2024

2022

Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning.

Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Joseph Walsh, Daniel Riordan

CoRR, 2022

2021

Representation Learning for Fine-Grained Change Detection.

Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Joseph Walsh, Daniel Riordan

Sensors, 2021

Improving Accuracy and Latency in Image Re-identification by Gallery Database Cleansing.

Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh

Proceedings of the Intelligent Computing, 2021

2020

Understanding and Exploiting Dependent Variables with Deep Metric Learning.

Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh

Proceedings of the Intelligent Systems and Applications, 2020

Where am I? Localization techniques for Mobile Robots A Review.

Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

Path Planning Techniques for Mobile Robots A Review.

Sean Campbell, Niall O' Mahony, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

2019

Point Cloud Annotation Methods for 3D Deep Learning.

Niall O' Mahony, Sean Campbell, Anderson Carvalho, Lenka Krpalkova, Daniel Riordan, Joseph Walsh

Proceedings of the 13th International Conference on Sensing Technology, 2019

Deep Learning vs. Traditional Computer Vision.

Niall O' Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Adolfo Velasco-Hernández, Lenka Krpalkova, Daniel Riordan, Joseph Walsh

Proceedings of the Advances in Computer Vision, 2019

Improving Industrial Computing Capacity with Fog Computing and Smart Systems.

Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Pat Doody, Joseph Walsh

Proceedings of the 6th International Conference on Control, 2019

Farming on the edge: Architectural Goals.

Anderson Carvalho, Niall O' Mahony, Lenka Krpalkova, Sean Campbell, Joseph Walsh, Pat Doody

Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

2018

Computer Vision for 3D Perception - A Review.

Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Daniel Riordan, Joseph Walsh, Aidan Murphy, Conor Ryan

Proceedings of the Intelligent Systems and Applications, 2018

Convolutional Neural Networks for 3D Vision System Data : A review.

Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Gustavo Adolfo Velasco-Hernández, Daniel Riordan, Joseph Walsh

Proceedings of the 12th International Conference on Sensing Technology, 2018