journal article·2022-09-23Open access

Special Issue on Applied Artificial Neural Networks

Marcos Gestal

Applied Sciences· Volume 12· Issue 19

Abstract

Over the years there have been many attempts to understand, and subsequently imitate, the way that humans try to solve problems, so it can help to artificially achieve the same kind of intelligent behavior [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short

Research context

OpenAlex topics: Anomaly Detection Techniques and Applications · Traffic Prediction and Management Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer Science and Information Technologies, Elviña Campus, University of A Coruña, 15008 A Coruña, Spain

RNASA-IMEDIR-Group, Faculty of Computer Science, University of A Coruña, CITIC, Elviña, 15071 A Coruña, Spain

IKERDATA S.L., ZITEK, University of the Basque Country UPVEHU, Rectorate Building, 48940 Leioa, Spain

References (11)

Show source-provided references
1. Rivero, D., Ramírez-Morales, I., Fernandez-Blanco, E., Ezquerra, N., and Pazos, A. (2020). Classical music prediction and composition by means of variational autoencoders. Appl. Sci., 10.10.3390/app10093053 ↗
2. Farhadi, M., Abbaspour-Gilandeh, Y., Mahmoudi, A., and Mari Maja, J. (2020). An Integrated System of Artificial Intelligence and Signal Processing Techniques for the Sorting and Grading of Nuts. Appl. Sci., 10.10.3390/app10093315 ↗
3. Chen, K., Wang, P., Yang, X., Zhang, N., and Wang, D. (2020). A Model Output Deep Learning Method for Grid Temperature Forecasts in Tianjin Area. Appl. Sci., 10.10.3390/app10175808 ↗
4. Gil-Cordero, E., and Cabrera-Sánchez, J.-P. (2020). Private Label and Macroeconomic Indexes: An Artificial Neural Networks Application. Appl. Sci., 10.10.3390/app10176043 ↗
5. Hussain, S., Yu, Y., Ayoub, M., Khan, A., Rehman, R., Wahid, J.A., and Hou, W. (2021). IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19. Appl. Sci., 11.10.3390/app11083495 ↗
6. Jimenez, J., Navarro, L., Quintero M., C.G., and Pardo, M. (2021). Multivariate Statistical Analysis for Training Process Optimization in Neural Networks-Based Forecasting Models. Appl. Sci., 11.10.3390/app11083552 ↗
7. Banjanin, M.K., Stojčić, M., Drajić, D., Ćurguz, Z., Milanović, Z., and Stjepanović, A. (2021). Adaptive Modeling of Prediction of Telecommunications Network Throughput Performances in the Domain of Motorway Coverage. Appl. Sci., 11.10.3390/app11083559 ↗
8. Sobolewski, Ł., and Miczulski, W. (2021). Methods of Constructing Time Series for Predicting Local Time Scales by Means of a GMDH-Type Neural Network. Appl. Sci., 11.10.3390/app11125615 ↗
9. Duarte, V., Leger, P., Contreras, S., and Fukuda, H. (2021). Using Artificial Neural Network to Detect Fetal Alcohol Spectrum Disorder in Children. Appl. Sci., 11.10.3390/app11135961 ↗
10. Valverde Castilla, G.A., Mira McWilliams, J.M., and González-Pérez, B. (2021). One-Layer vs. Two-Layer SOM in the Context of Outlier Identification: A Simulation Study. Appl. Sci., 11.10.3390/app11146241 ↗
11. Maldonado-Chan, M., Mendez-Vazquez, A., and Guardado-Medina, R.O. (2021). Multimodal Tucker Decomposition for Gated RBM Inference. Appl. Sci., 11.10.3390/app11167397 ↗