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Machine learning algorithms to predict core, skin, and hair-coat temperatures of piglets
(Elsevier B.V., 2018-08-01)
Internal-body (core) and surface temperatures of livestock are important information that indicate heat stress status and comfort of animals. Previous studies focused on developing mechanistic and empirical models to predict ...
Temperature-Based Deep Boltzmann Machines
(Springer, 2018-08-01)
Deep learning techniques have been paramount in the last years, mainly due to their outstanding results in a number of applications, that range from speech recognition to face-based user identification. Despite other ...
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization
(2020-07-01)
Restricted Boltzmann Machines (RBM) are stochastic neural networks mainly used for image reconstruction and unsupervised feature learning. An enhanced version, the temperature-based RBM (T-RBM), considers a new temperature ...
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization
(Ieee, 2020-01-01)
Restricted Boltzmann Machines (RBM) are stochastic neural networks mainly used for image reconstruction and unsupervised feature learning. An enhanced version, the temperature-based RBM (T-RBM), considers a new temperature ...
Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute VentilationRespiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation
(IEEE, 2020)
Continuous monitoring of ventilatory parameters such as tidal volume (TV) and minute ventilation (MV) has shown to be effective in the prevention of respiratory compromise events in hospitalized patients. However, the ...
Turning of compacted graphite iron using commercial tiN coated Si 3N4 under dry machining conditions
(2008-12-01)
Due to their high hardness and wear resistance Si3N4 based ceramics are one of the most suitable cutting tool materials for machining hardened materials. Therefore, their high degree of brittleness usually leads to ...
Turning of compacted graphite iron using commercial tiN coated Si 3N4 under dry machining conditions
(2008-12-01)
Due to their high hardness and wear resistance Si3N4 based ceramics are one of the most suitable cutting tool materials for machining hardened materials. Therefore, their high degree of brittleness usually leads to ...
On the training algorithms for Restricted Boltzmann Machine-Based Models
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2018-12-05)
Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ...
FROG: A global machine-learning temperature calibration for branched GDGTs in soils and peats
(Geochimica et Cosmochimica Acta, 2022)
Microclimate modification under the effect of stationary and portable wind machines
(Elsevier B.V., 2019)
Frosts are one of the most harmful weather events, causing recurrent and great damage in agriculture. Active control methods, such as wind machines, must be implemented to reduce the impact on crops. A new portable wind ...