J. Alex Hurt

20 papers B 3C 4Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Differential Morphological Profile Neural Networks for Semantic Segmentation.
CoRR
David Huangal, J. Alex Hurt
2025 J jnl
Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets.
CoRR
J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott, Curt H. Davis
2025 J jnl
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Imagery Using Deep Learning Transformer and Convolutional Attention Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Anes Ouadou, David Huangal, Mariam Alshehri, Grant J. Scott, J. Alex Hurt
2024 J jnl
Adventures with Grace Hopper AI Super Chip and the National Research Platform.
CoRR
J. Alex Hurt, Grant J. Scott, Derek Weitzel, Huijun Zhu
2024 J jnl
Scaling Deep Learning Research with Kubernetes on the NRP Nautilus HyperCluster.
CoRR
J. Alex Hurt, Anes Ouadou, Mariam Alshehri, Grant J. Scott
2023 J jnl
Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery.
Sensors
J. Alex Hurt, Ilinca M. Popescu, Curt H. Davis, Grant J. Scott
2023 C conf
Hybrid Differential Morphological Profile Enabled Faster R-Cnn For Object Detection In High-Resolution Remote Sensing Imagery.
IGARSS
J. Alex Hurt, Curt H. Davis, Grant J. Scott
2023 — conf
Overhead Object Detection with Channel Attention for High-Resolution Multi-Spectral Satellite Imagery and DMP-extracted Shape Features.
AIPR
J. Alex Hurt, Trevor M. Bajkowski, Curt H. Davis, Grant J. Scott
2023 C conf
Semantic Segmentation of Burned Areas in Sentinel-2 Satellite Images Using Deep Learning Models.
IGARSS
Anes Ouadou, David Huangal, J. Alex Hurt, Grant J. Scott
2023 — conf
Towards Automated Nanoenergetic Reaction Characterization with Computational Vision.
AIPR
Timothy B. Gaines, J. Alex Hurt, James M. Keller, Grant J. Scott, Camden I. Boyle, Matthew R. Maschmann, Stanton R. Price
2022 C conf
Classification of an 8-Band Multi-Spectral Dataset Using DCNNs with Weight Initializations Derived from Pre-Trained RGB Networks.
IGARSS
Trevor M. Bajkowski, J. Alex Hurt, Curt H. Davis, Grant J. Scott
2022 B conf
Evolutionary Learning of Differential Morphological Profile Structure for Shape Feature Enabled Faster R-CNN.
IJCNN
J. Alex Hurt, James Keller, Grant J. Scott
2021 — conf
Evaluating Visuospatial Features for Tracking Hazards in Overhead UAS Imagery.
AIPR
Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price
2021 C conf
Improved Classification of High Resolution Remote Sensing Imagery with Differential Morphological Profile Neural Network.
IGARSS
J. Alex Hurt, Trevor M. Bajkowski, Grant J. Scott
2020 — conf
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features.
AIPR
Jeffrey J. Dale, David Huangal, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Stanton R. Price
2020 B conf
Differential Morphological Profile Neural Network for Object Detection in Overhead Imagery.
IJCNN
Grant J. Scott, J. Alex Hurt, Alex Yang, Muhammad Aminul Islam, Derek T. Anderson, Curt H. Davis
2020 — conf
Enabling Machine-Assisted Visual Analytics for High-Resolution Remote Sensing Imagery with Enhanced Benchmark Meta-Dataset Training of NAS Neural Networks.
IEEE BigData
J. Alex Hurt, David Huangal, Curt H. Davis, Grant J. Scott
2020 — conf
Extending Deep Convolutional Neural Networks from 3-Color to Full Multispectral Remote Sensing Imagery.
IEEE BigData
Trevor M. Bajkowski, Grant J. Scott, J. Alex Hurt, Curt H. Davis
2020 — conf
Spatiotemporal Maneuverability Hazard Analytics from Low-Altitude UAS Sensors.
AIPR
Trevor M. Bajkowski, David Huangal, J. Alex Hurt, Jeffrey Dale, James M. Keller, Grant J. Scott, Stanton R. Price
2019 B conf
Linear Order Statistic Neuron.
FUZZ-IEEE
Charlie T. Veal, Alex Yang, J. Alex Hurt, Muhammad Aminul Islam, Derek T. Anderson, Grant J. Scott, James M. Keller, Timothy C. Havens, Bo Tang