Search Results - Hyper-parameters estimation

Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Muttaqi K.M.

Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement by Sakinah Ali Pitchay, Kaban, A

Bayesian estimation of time to failure distributions based on skew normal degradation model : an application to GaAs laser degradation data by Laila Naji Ba Dakhn, Mohd Aftar Abu Bakar, Kamarulzaman Ibrahim

“…In this paper, the Bayesian method which involves informative and weakly informative priors are considered to estimate the parameters and percentiles of the time to failure distribution. …”
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State-of-Charge Estimation of Li-ion Battery at Variable Ambient Temperature with Gated Recurrent Unit Network by Hannan M.A., How D.N.T., Mansor M., Lipu M.S.H., Ker P.J., Muttaqi K.M.

“…Charging (batteries); Deep learning; Learning systems; Lithium compounds; Lithium-ion batteries; Long short-term memory; Multilayer neural networks; Temperature; Empirical evaluations; Experiment set-up; Hyper-parameter; Learning methods; Multi layer perceptron; Simple recurrent networks; State of charge; State-of-charge estimation; Battery management systems…”

Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm by Hossain Lipu M.S., Hannan M.A., Hussain A., Ansari S., Rahman S.A., Saad M.H.M., Muttaqi K.M.

“…However, proper selection of RFR architecture and hyper-parameters combination remains a key issue to be explored. …”

SOC Estimation Using Deep Bidirectional Gated Recurrent Units with Tree Parzen Estimator Hyperparameter Optimization by How D.N.T., Hannan M.A., Lipu M.S.H., Ker P.J., Mansor M., Sahari K.S.M., Muttaqi K.M.

“…Battery management systems; Charging (batteries); Computer architecture; Digital storage; Heuristic methods; Lithium-ion batteries; Long short-term memory; Temperature measurement; Trees (mathematics); Bidirectional gated recurrent unit; Computational modelling; Deep learning; GRU; Hyper-parameter; Learning models; Optimisations; Parzen estimators; State-of-charge estimation; States of charges; Optimization…”

Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries by Hossain Lipu M.S., Hannan M.A., Hussain A., Ansari S., Ayob A., Saad M.H.M., Muttaqi K.M.

Hierarchical Bayesian Spatial Models for Disease Mortality Rates by Mohamed Elobaid, Rafida

“…The classical approach, which used to estimate the risk associated with the spread of the disease, did not seem to give a good estimation when there were different factors expected to influence the spread of the disease. …”
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Estimation of the regularisation parameter in Huber-MRF for image resolution enhancement by Sakinah Ali Pitchay, Kab�n A.

River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network by Zanial W.N.C.W., Malek M.B.A., Reba M.N.M., Zaini N., Ahmed A.N., Sherif M., Elshafie A.

“…Therefore, it is necessary to precisely estimate how the river flow will alter as a result of changing rainfall patterns. …”

Knowledge Transfer Of Aedes Larvae Control System For Dengue Outbreak To A Local Authority Company by Ghazali, Rozaimi, Sulaima, Mohamad Fani, Ab. Ghani, Mohd Ruddin, Othman, Md Nazri, Jali, Mohd Hafiz

“…Besides, the pre-trained model of the Common Object in the Context dataset has been applied in this training, where the hyper-parameter fine-tune configuration has been implemented in this study. …”
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Aedes Aegypti Larvae Detection System Based On Convolution Neural Network Via Transfer Learning by Mohd Fuad, Mohamad Aqil

“…Besides, the pre-trained model of the Common Object in the Context dataset has been applied in this training, where the hyper-parameter fine-tune configuration has been implemented in this study. …”
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