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Troncoso, A.
10945  Ergebnisse:
Personensuche X
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1

Medium-term water consumption forecasting based on deep neu..:

Gil-Gamboa, A. ; Paneque, P. ; Trull, O..
Expert Systems with Applications.  247 (2024)  - p. 123234 , 2024
Link: https://doi.org/10.1016/..
 
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2

Water consumption time series forecasting in urban centers ..:

García-Soto, C. G. ; Torres, J. F. ; Zamora-Izquierdo, M. A...
Applied Water Science.  14 (2024)  2 - p. , 2024
Link: https://doi.org/10.1007/..
 
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3

Pattern sequence-based algorithm for multivariate big data ..:

Pérez-Chacón, R. ; Asencio-Cortés, G. ; Troncoso, A..
Future Generation Computer Systems.  154 (2024)  - p. 397-412 , 2024
Link: https://doi.org/10.1016/..
 
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4

From simple to complex: a sequential method for enhancing t..:

Jiménez-Navarro, M J ; Martínez-Ballesteros, M ; Martínez-Álvarez, F..
Logic Journal of the IGPL.  , 2024
Link: https://doi.org/10.1093/..
 
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5

Ultrastructural examination of cryodamage in Paracentrotus ..:

Campos, S. ; Troncoso, J. ; Paredes, E.
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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6

Explainable hybrid deep learning and Coronavirus Optimizati..:

Troncoso-García, A.R. ; Brito, I.S. ; Troncoso, A..
Computers and Electronics in Agriculture.  215 (2023)  - p. 108387 , 2023
Link: https://doi.org/10.1016/..
 
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7

Exploring the feasibility of cryopreserving larvae of the c..:

Heres, P. ; Troncoso, J. ; Paredes, E.
Cryobiology.  113 (2023)  - p. 104582 , 2023
Link: https://doi.org/10.1016/..
 
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8

Building a Hofmeister-like series for the maximum in densit..:

Gámez, F. ; Sedano, L.F. ; Blazquez, S...
Journal of Molecular Liquids.  377 (2023)  - p. 121433 , 2023
Link: https://doi.org/10.1016/..
 
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9

Deep Learning-Based Approach for Sleep Apnea Detection Usin..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
Troncoso-García, A. R. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F.. - p. 626-637 , 2023
Link: https://doi.org/10.1007/..
 
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10

Olive Oil Fly Population Pest Forecasting Using Explainable..:

, In: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023); Lecture Notes in Networks and Systems,
Chacón-Maldonado, A. M. ; Troncoso-García, A. R. ; Martínez-Álvarez, F... - p. 121-131 , 2023
Link: https://doi.org/10.1007/..
 
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11

A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopi:

, In: Lecture Notes in Computer Science; Hybrid Artificial Intelligent Systems,
Tefera, E. ; Martínez-Ballesteros, M. ; Troncoso, A.. - p. 207-218 , 2023
Link: https://doi.org/10.1007/..
 
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12

Effect of diphenylalanine on model phospholipid membrane or..:

Bar, L. ; Losada-Pérez, P. ; Troncoso, J.
Journal of Molecular Liquids.  384 (2023)  - p. 122196 , 2023
Link: https://doi.org/10.1016/..
 
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13

A new approach based on association rules to add explainabi..:

Troncoso-García, A.R. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F..
Information Fusion.  94 (2023)  - p. 169-180 , 2023
Link: https://doi.org/10.1016/..
 
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14

A new hybrid method for predicting univariate and multivari..:

Castán-Lascorz, M.A. ; Jiménez-Herrera, P. ; Troncoso, A..
Information Sciences.  586 (2022)  - p. 611-627 , 2022
Link: https://doi.org/10.1016/..
 
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15

A novel approach to discover numerical association based on..:

, In: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing,
Segarra-Martín, C. ; Martínez-Ballesteros, M. ; Troncoso, A.. - p. 1148-1151 , 2022
Link: https://dl.acm.org/doi/1..
 
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