research
∙
07/31/2023
DroneReqValidator: Facilitating High Fidelity Simulation Testing for Uncrewed Aerial Systems Developers
Rigorous testing of small Uncrewed Aerial Systems (sUAS) is crucial to e...
share
research
∙
07/14/2023
Leveraging Traceability to Integrate Safety Analysis Artifacts into the Software Development Process
Safety-critical system's failure or malfunction can cause loss of human ...
research
∙
07/01/2023
A Requirements-Driven Platform for Validating Field Operations of Small Uncrewed Aerial Vehicles
Flight-time failures of small Uncrewed Aerial Systems (sUAS) can have a ...
research
∙
11/08/2022
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations
Despite the huge advancement in knowledge discovery and data mining tech...
research
∙
05/02/2022
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis
In High Energy Physics (HEP), experimentalists generate large volumes of...
research
∙
03/24/2022
Extending MAPE-K to support Human-Machine Teaming
The MAPE-K feedback loop has been established as the primary reference m...
research
∙
10/01/2021
RescueAR: Augmented Reality Supported Collaboration for UAV Driven Emergency Response Systems
Emergency response events are fast-paced, noisy, and they require teamwo...
research
∙
09/05/2021
Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems
Rapid advancements in Artificial Intelligence have shifted the focus fro...
research
∙
03/28/2021
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Computer vision approaches are widely used by autonomous robotic systems...
research
∙
01/26/2021
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Microstructural materials design is one of the most important applicatio...
research
∙
12/06/2020
Art Style Classification with Self-Trained Ensemble of AutoEncoding Transformations
The artistic style of a painting is a rich descriptor that reveals both ...
research
∙
10/08/2020
Human-Drone Interactions with Semi-Autonomous Cohorts of Collaborating Drones
Research in human-drone interactions has primarily focused on cases in w...
research
∙
09/22/2020
Model-Driven Requirements for Humans-on-the-Loop Multi-UAV Missions
The use of semi-autonomous Unmanned Aerial Vehicles (UAVs or drones) to ...
research
∙
08/19/2020
Building Halo Merger Trees from the Q Continuum Simulation
Cosmological N-body simulations rank among the most computationally inte...
research
∙
06/05/2020
Securing IoT Applications using Blockchain: A Survey
The Internet of Things (IoT) has become a guiding technology behind auto...
research
∙
01/12/2020
The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System
The use of semi-autonomous Unmanned Aerial Vehicles (UAV) to support eme...
research
∙
07/29/2019
Improving MPI Collective I/O Performance With Intra-node Request Aggregation
Two-phase I/O is a well-known strategy for implementing collective MPI-I...
research
∙
07/28/2019
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes
Additive Manufacturing (AM) is a manufacturing paradigm that builds thre...
research
∙
07/07/2019
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery
Materials discovery is crucial for making scientific advances in many do...
research
∙
03/07/2019
Transfer Learning Using Ensemble Neural Nets for Organic Solar Cell Screening
Organic Solar Cells are a promising technology for solving the clean ene...
research
∙
11/14/2018
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations
SMILES is a linear representation of chemical structures which encodes t...
research
∙
09/16/2018
Analysis of Dynamic Memory Bandwidth Regulation in Multi-core Real-Time Systems
One of the primary sources of unpredictability in modern multi-core embe...
research
∙
06/20/2016
A New Parallel Algorithm for Two-Pass Connected Component Labeling
Connected Component Labeling (CCL) is an important step in pattern recog...
research
∙
08/04/2015