Blar i Publikasjoner fra CRIStin på emneord "nevrale nettverk"
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The Application of an Artificial Neural Network as a Baseline Model for Condition Monitoring of Innovative Humidified Micro Gas Turbine Cycles
(Peer reviewed; Journal article, 2023)Due to high penetration of renewables, the EU energy system is undergoing a transition from large-scale centralized generation toward small-scale distributed generation. The increasing share of intermittent renewables such ... -
Assistive Data Glove for Isolated Static Postures Recognition in American Sign Language Using Neural Network
(Peer reviewed; Journal article, 2023)Sign language recognition is one of the most challenging tasks of today’s era. Most of the researchers working in this domain have focused on different types of implementations for sign recognition. These implementations ... -
Comparative analysis of artificial neural network model and analysis of variance for predicting defect formation in plastic injection moulding processes
(Peer reviewed; Journal article, 2023)This study investigates the impact of plastic injection moulding process parameters on overflow defect formation. Experiments were conducted using a Taguchi L27 orthogonal array design. Multilayer Perceptron (MLP) artificial ... -
Household Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures
(Peer reviewed; Journal article, 2019-02)The progress of technology on energy and IoT fields has led to an increasingly complicated electric environment in low-voltage local microgrid, along with the extensions of electric vehicle, micro-generation, and local ... -
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
(Journal article; Peer reviewed, 2019-05)Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ... -
Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise
(Peer reviewed; Journal article, 2023)In this paper, we propose the use of recurrent neural networks (RNNs) for artifact correction and analysis of heart rate variability (HRV) data. HRV can be a valuable metric for determining the function of the heart and ... -
A U‑net based approach to epidermal tissue segmentation in whole slide histopathological images
(Peer reviewed; Journal article, 2019-06)Malignant melanoma is a severe and aggressive type of skin cancer, with a rapid decrease in survival rate if not diagnosed and treated at an early stage. Histopathological examination of hematoxylin and eosin stained tissue ...