Items where Subject is "Artificial Intelligence Technologies"

2015

Lee, J., 2015. Dataset for "Norm Awareness for Virtual Characters Behaviour: A Socio-Cognitive Approach". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00100.

2016

Lee, J., Gabe-Thomas, E., Lovett, T., Padget, J., Natarajan, S., Coley, D., 2016. ENLITEN - A dataset and its associated analysis code for the paper entitled "Designing sensor sets for capturing energy events in buildings". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00241.

2020

De La Dehesa Cueto-Felgueroso, J., 2020. Dataset for "A Novel Neural Network Architecture with Applications to 3D Animation and Interaction in Virtual Reality". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00752.

Dehesa, J., Ninja Theory Ltd, 2020. Dataset for "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00754.

2022

Davenport, J., 2022. Dataset for chapter "Quality and Bias". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01099.

2023

Hoffmann, J., 2023. A scoping review of regularization in decision science. Open Science Framework. Available from: https://doi.org/10.17605/OSF.IO/DVP37.

2024

Martinez Hernandez, U., Guo, Q., 2024. Dataset for "VibroTact: Soft piezo vibration fingertip sensor for recognition of texture roughness via robotic sliding exploratory procedures". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01351.

2025

Ahmed, S., Mohanna, M., Martinez Hernandez, U., Awad, M., Mansour, A., 2025. Datasets for Bilateral Lower-Limb Neuromechanical Signals in Able-Bodied and Impaired Individuals with Wearable and Ambient Sensors (BLISS). Version 3. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01425.

Al, G., 2025. Dataset for "Filament Type Recognition for Additive Manufacturing Using a Spectroscopy Sensor and Machine Learning". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01501.