3.201 a 3.210 de 5.900 Resultados
27 feb 2024
Marina Esteban-Medina; Víctor Manuel de la Oliva Roque; Sara Herráiz-Gil; María Peña-Chilet; Joaquín Dopazo; Carlos Loucera, 2024, "drexml: A command line tool and Python package for drug repurposing", https://doi.org/10.24433/CO.8171877.V1
Capsule for the `drexml` python package: (DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal transductionDataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
26 feb 2024
Arenas-García, Jerónimo; Cid-Sueiro, Jesus; Calvo-Bartolomé, Lorena, 2025, "IntelComp Cancer Science and Technology Indicators", https://doi.org/10.5281/ZENODO.10706438
This dataset compiles key indicators about cancer-related technology and scientific production in the World, EU and France. Derived from several primary sources, it includes expert-curated topic models via the Interactive Model Trainer (IMT) on cancer-related OpenAIRE publication...Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
26 feb 2024
Zahir, Adam, 2025, "Data for Performance Evaluation of Multi-Cloud Service Federation using Private and Public Blockchains", https://doi.org/10.5281/ZENODO.10708184
This project contains the measurements and analysis tools used in the conference paper entitled Performance Evaluation of Multi-Cloud Service Federation using Private and Public Blockchains, which was presented at ICDCN 2024.Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
22 feb 2024
Lo Schiavo, Leonardo; Garcia-Aviles, Gines; Garcia-Saavedra, Andres; Gramaglia, Marco; Fiore, Marco; Banchs, Albert; Costa-Perez, Xavier, 2025, "Datasets used in https://doi.org/10.1145/3636534.3649381", https://doi.org/10.5281/ZENODO.10691661
CloudRIC is a system that meets specific reliability targets in 5G FEC processing while sharing pools of heterogeneous processors among DUs, which leads to more cost- and energy-efficient vRANs. The details of the solution are presented in https://doi.org/10.1145/3636534.3649381....Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
20 feb 2024 - BODYinTRANSIT (Sensory-driven Body Transformation Experiences On-the-move)
Tajadura‑Jiménez, Ana; Crucianelli, Laura; Zheng, Rebecca; Cheng, Chloe; Ley‑Flores, Judith; Borda‑Más, Mercedes; Bianchi‑Berthouze, Nadia; Fotopoulou, Aikaterini, 2024, "FootStep illusion_Eating disorders", https://doi.org/10.21950/VEEYMS, e-cienciaDatos, V1
The dataset consisted of measurements obtained in two Experiments from 73 female participants aged between 18 and 49 years old. In Experiment 1, we tested healthy women assigned to three groups based on self-reported Symptomatology of Eating Disorders as assessed by a questionnai... |
20 feb 2024 -
FootStep illusion_Eating disorders
Datos tabulares - 79,3 KB
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20 feb 2024 -
FootStep illusion_Eating disorders
Datos tabulares - 278,1 KB
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20 feb 2024 -
FootStep illusion_Eating disorders
Texto plano - 9,0 KB -
MD5: 4f971cb8e8eca58b2bc4fccac4bef7d3
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Valores separados por comas - 22,7 MB -
MD5: 59cbb7b1fd9724d89de28b5564e78316
REBIUN - CSIC 2021 |
Valores separados por comas - 21,9 MB -
MD5: 73d2274bee7ceb345f1bd5cea9195bf8
REBIUN - CSIC 2022 |
