|
|
SEDE 2022: Keyword Index| Keyword | Papers |
|---|
| a | | Agile | Software Development: Past, Present, and Future | | American Sign Language | IASLS a Mobile Application for Facilitating Communications in American Sign Language | | AR Feature Testing | Preparation of Human-Testing Experiment to Determine Key Features for Augmented Reality Applications to Succeed | | Augmented Reality | Preparation of Human-Testing Experiment to Determine Key Features for Augmented Reality Applications to Succeed
Determining Optimal Control Frequency for Large Numbers of Virtual Agents within an Augmented Reality Application | | Autoencoder | EA-NET: A Hybrid and Ensemble Multi-Level Approach For Robust Anomaly Detection | | c | | C# | Graph-It: Design and implementation of a Graph Theory toolbox and visualization application | | communication | IASLS a Mobile Application for Facilitating Communications in American Sign Language | | computational biology | Challenges of Software Engineering in Computational Biology and Bioinformatics Scientific Software Projects | | e | | Ensemble Anomaly Detection | EA-NET: A Hybrid and Ensemble Multi-Level Approach For Robust Anomaly Detection | | f | | Framerate | Determining Optimal Control Frequency for Large Numbers of Virtual Agents within an Augmented Reality Application | | g | | graph algorithms | Graph-It: Design and implementation of a Graph Theory toolbox and visualization application | | graph theory | Graph-It: Design and implementation of a Graph Theory toolbox and visualization application | | graphics | MuVR: A Multiuser Virtual Reality Framework for Unity | | h | | history | Software Development: Past, Present, and Future | | HMD | An Overview of Virtual Reality | | HoloLens | Determining Optimal Control Frequency for Large Numbers of Virtual Agents within an Augmented Reality Application | | HoloLens 2 | Determining Optimal Control Frequency for Large Numbers of Virtual Agents within an Augmented Reality Application | | l | | low-code | Software Development: Past, Present, and Future | | m | | machine learning | IASLS a Mobile Application for Facilitating Communications in American Sign Language | | mobile application | IASLS a Mobile Application for Facilitating Communications in American Sign Language | | Multiplayer | MuVR: A Multiuser Virtual Reality Framework for Unity | | multiuser | MuVR: A Multiuser Virtual Reality Framework for Unity | | n | | Networking | MuVR: A Multiuser Virtual Reality Framework for Unity | | no-code | Software Development: Past, Present, and Future | | o | | one-class classifier | EA-NET: A Hybrid and Ensemble Multi-Level Approach For Robust Anomaly Detection | | r | | Rapid Application Development | Software Development: Past, Present, and Future | | s | | scientific computing | Challenges of Software Engineering in Computational Biology and Bioinformatics Scientific Software Projects | | software development | Software Development: Past, Present, and Future | | Software Engineering | Challenges of Software Engineering in Computational Biology and Bioinformatics Scientific Software Projects | | u | | Unity | Graph-It: Design and implementation of a Graph Theory toolbox and visualization application | | user interface | MuVR: A Multiuser Virtual Reality Framework for Unity | | user study | Preparation of Human-Testing Experiment to Determine Key Features for Augmented Reality Applications to Succeed | | UX | An Overview of Virtual Reality | | v | | virtual agents | Determining Optimal Control Frequency for Large Numbers of Virtual Agents within an Augmented Reality Application | | Virtual Reality | MuVR: A Multiuser Virtual Reality Framework for Unity | | visualization | Graph-It: Design and implementation of a Graph Theory toolbox and visualization application | | VR | An Overview of Virtual Reality | | VR History | An Overview of Virtual Reality | | w | | Waterfall | Software Development: Past, Present, and Future |
|
|
|
