261 a 270 de 840 Resultados
11 ene. 2024 - Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC)
Viadero-Monasterio, Fernando; Nguyen, Anh-Tu; Lauber, Jimmy; López Boada, María Jesús; López Boada, Beatriz, 2024, "Event-Triggered Robust Path Tracking Control Considering Roll Stability Under Network-Induced Delays for Autonomous Vehicles dataset", https://doi.org/10.21950/NUBYHR, e-cienciaDatos, V1
This data set comprises the vehicle path tracking responses with different controllers. - Time (s) - Sideslip angle (deg) - Roll (deg) - Roll rate (deg/s) - Yaw error (deg) - Lateral error (m) - Steering command (deg) - Anti-roll moment (Nm) - Longitudinal speed (m/s) - X positio... |
10 ene. 2024
Martínez-De Miguel, Claudia; Segura Bedmar, Isabel; Chacón-Solano, Esteban; Guerrero-Aspizua, Sara, 2024, "RareDis corpus", https://doi.org/10.21950/DEURZF, e-cienciaDatos, V1
Para poder aplicar técnicas de PLN y aprendizaje profundo capaces de reconocer de forma automática las menciones de las enfermedades raras y sus manifestaciones clínicas en textos es imprescindible contar con un dataset (colección de textos anotados con enfermedades y síntomas /... |
10 ene. 2024
Relaño, Carlos; Muñoz, Jorge; Monje Micharet, Concepción Alicia; Martínez de la Casa, Santiago; González, Daniel, 2024, "SoftArmControl: Data and results of the identification and control of a soft robotic arm", https://doi.org/10.21950/J95IFS, e-cienciaDatos, V1
Different csv files are available that include information about the pose (yaw and pitch angles) of the soft arm while varying the position of its motors. Three datasets are specifically available: experimental data used for the identification of the soft arm model; experimental... |
9 ene. 2024
Relaño, Carlos; Muñoz, Javier; Monje, Concepción A., 2024, "SoftGP: Gaussian process regression for forward and inverse kinematics of soft robots", https://doi.org/10.21950/Y4AN3E, e-cienciaDatos, V1
The data collected from the soft arm and neck and the Gaussian process models trained using that data. |
9 ene. 2024
Segura Bedmar, Isabel; Camino Perdones, David; Guerrero Aspizua, Sara, 2024, "NLP4RARE-NER", https://doi.org/10.21950/S2IRKE, e-cienciaDatos, V1
El dataset contiene el código de la implementación y experimentación de los enfoques propuestos en el artículo: Isabel Segura Bedmar, David Camino Perdones, Sara Guerrero Aspizua. (2022). Exploring deep learning methods for recognizing rare diseases and their clinical manifestati... |
8 ene. 2024
Travieso, Emiliano, 2024, "Coal price composition in Uruguay (1887-1913) and coal prices in Uruguay and New Zealand (1890-1911).", https://doi.org/10.21950/YTND5F, e-cienciaDatos, V1
Coal prices in Uruguay and New Zealand (1890-1911) and coal price composition in Uruguay (1887-1913) reconstructed from primary sources. |
8 ene. 2024
Travieso, Emiliano, 2024, "Atlas of Uruguayan agriculture, c.1900", https://doi.org/10.21950/17FVAY, e-cienciaDatos, V1
District-level (secciones judiciales) boundary & attribute data for agricultural, geographical, and population variables. All Uruguayan districts c.1900. |
8 ene. 2024
Muñoz Organero, Mario, 2024, "Dataset for the automatic detection of traffic lights, street crossings and urban roundabouts based on GPS traces while driving", https://doi.org/10.21950/EDTWR7, e-cienciaDatos, V1
A specifically designed dataset generated using a driving path in Madrid which has been traveled 55 times using 3 different car models. The journey includes two urban areas and a connecting motorway. The overall length is 8.1 km and includes several road elements of interest (tra... |
8 ene. 2024
Muñoz Organero, Mario, 2024, "Dataset for sample T1DM simulated patients used to validate the paper Muñoz-Organero, M. “Deep physiological model for blood glucose prediction in T1DM patients”. Sensors (Switzerland), 2020, 20(14), pp. 1–17, 3896", https://doi.org/10.21950/MMVBUJ, e-cienciaDatos, V1
The AIDA diabetes simulator has been used to generate 10 days of data for the different models implemented by the tool. |
30 dic. 2023
Nikolaidou, Anna; Chiolerio, Alessandro; Dehshibi, Mohammad Mahd; Adamatzky, Andrew, 2024, "Functionalising the electrical properties of Kombucha zoogleal mats for biosensing applications"
Data acquired from the electrical characterisation of pure and functionalised with graphene and zeolite Y Kombucha mats, including dynamic current-voltage (I-V) profiling, impedance, capacitance, and resistance measurements.Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
