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Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique., , , , , , and . Expert Syst. Appl., (2020)Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning., , , , , , and . J. Supercomput., 77 (1): 818-840 (2021)Evolutionary strategies as applied to shear strain effects in reinforced concrete beams., , , and . Appl. Soft Comput., (2017)Evaluation of synthetic data generation for intelligent climate control in greenhouses., , , , , and . Appl. Intell., 53 (21): 24765-24781 (November 2023)Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques., , , and . Agriculture and Environment Perspectives in Intelligent Systems, volume 24 of Ambient Intelligence and Smart Environments, IOS Press, (2019)Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network., , , , and . Sensors, 20 (3): 903 (2020)Bioinspired Architecture Selection for Multitask Learning., , , and . Frontiers Neuroinformatics, (2017)Deep Learning Approach for Classifying Papanicolau Cervical Smears., , , , , , , , and . ICPP Workshops, page 7:1-7:5. ACM, (2018)Analysis of Lecturers' Behavior Through the Use of Learning Management Systems: A Case Study in Computer Engineering., , , , and . Intelligent Environments (Workshops), volume 23 of Ambient Intelligence and Smart Environments, page 407-416. IOS Press, (2018)Influence of Multivariate Modeling in the Prediction of Soil Carbon by a Portable Infrared Sensor., , , , and . Intelligent Environments (Workshops), volume 22 of Ambient Intelligence and Smart Environments, page 88-97. IOS Press, (2017)