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Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.

M. Guillén, A. Llanes, B. Imbernón, R. Martínez-España, A. Bueno-Crespo, J. Cano, and J. Cecilia. J. Supercomput., 77 (1): 818-840 (2021)

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QN-Docking: An innovative molecular docking methodology based on Q-Networks.A. Serrano, B. Imbernón, H. Sánchez, J. Cecilia, A. Bueno-Crespo, and J. Abellán. Appl. Soft Comput., (2020)Performance Evaluation of Clustering Algorithms on GPUs.J. Morales-García, A. Llanes, B. Imbernón, and J. Cecilia. Intelligent Environments (Workshops), volume 28 of Ambient Intelligence and Smart Environments, page 400-409. IOS Press, (2020)Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach.A. Serrano, B. Imbernón, H. Sánchez, J. Cecilia, A. Bueno-Crespo, and J. Abellán. ICPP Workshops, page 6:1-6:8. ACM, (2018)Designing HYPERDOCK: A Parallel Hyperheuristic Method for Virtual Screening.B. Imbernón, J. Cecilia, J. Cutillas-Lozano, and D. Giménez. ICPP Workshops, page 10:1-10:8. ACM, (2018)METADOCK: A parallel metaheuristic schema for virtual screening methods.B. Imbernón, J. Cecilia, H. Sánchez, and D. Giménez. Int. J. High Perform. Comput. Appl., (2018)Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.M. Guillén, A. Llanes, B. Imbernón, R. Martínez-España, A. Bueno-Crespo, J. Cano, and J. Cecilia. J. Supercomput., 77 (1): 818-840 (2021)Enhancing Metaheuristic-based Virtual Screening Methods on Massively Parallel and Heterogeneous Systems.B. Imbernón, J. Cecilia, and D. Giménez. PMAM@PPoPP, page 50-58. ACM, (2016)Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model.A. Bueno-Crespo, R. Martínez-España, J. Morales-García, A. Ortiz-González, B. Imbernón, J. Martínez-Más, D. Rosique-Egea, and M. Álvarez. IWINAC (2), volume 14675 of Lecture Notes in Computer Science, page 451-460. Springer, (2024)Deep Learning Approach for Classifying Papanicolau Cervical Smears.J. Martínez-Más, A. Bueno-Crespo, B. Imbernón, J. Cecilia, R. Martínez-España, M. Remezal-Solano, A. Sánchez-Espinosa, S. Ortiz-Reina, and J. Martínez-Cendán. ICPP Workshops, page 7:1-7:5. ACM, (2018)Using remote GPU virtualization techniques to enhance edge computing devices.J. Cecilia, J. Morales-García, B. Imbernón, J. Prades, J. Cano, and F. Silla. Future Gener. Comput. Syst., (May 2023)

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Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.

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Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.