An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning [PDF]
Bioengineering, 2022 Heart-sound auscultation is one of the most widely used approaches for detecting cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope depends on the physician’s skill and judgment.
Yunendah Nur Fuadah +2 more
doaj +2 more sources
PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN–LSTM [PDF]
Diagnostics, 2023 Researchers commonly use continuous noninvasive blood-pressure measurement (cNIBP) based on photoplethysmography (PPG) signals to monitor blood pressure conveniently. However, the performance of the system still needs to be improved.
Nurul Qashri Mahardika T +3 more
doaj +2 more sources
Grid Search and Genetic Algorithm Optimization of Neural Networks for Automotive Radar Object Classification [PDF]
SensorsThis paper proposes and evaluates two neural network-based approaches for object classification in automotive radar systems, comparing the performance impact of grid search and genetic algorithm (GA) hyperparameter optimization strategies.
Atila Gabriel Ham +5 more
doaj +2 more sources
Deep Learning for Predicting Late-Onset Breast Cancer Metastasis: The Single-Hyperparameter Grid Search (SHGS) Strategy for Meta-Tuning a Deep Feed-Forward Neural Network [PDF]
BioengineeringBackground: While machine learning has advanced in medicine, its widespread use in clinical applications, especially in predicting breast cancer metastasis, is still limited. We have been dedicated to constructing a deep feed-forward neural network (DFNN)
Yijun Zhou, Om Arora-Jain, Xia Jiang
doaj +2 more sources
Grid Search of Convolutional Neural Network model in the case of load forecasting [PDF]
Archives of Electrical Engineering, 2021 The Convolutional Neural Network (CNN) model is one of the most effective models for load forecasting with hyperparameters which can be used not only to determine the CNN structure and but also to train the CNN model.
Thanh Ngoc Tran
doaj +3 more sources
Optimizing Event Selection with the Random Grid Search [PDF]
Computer Physics Communications, 2018 The random grid search (RGS) is a simple, but efficient, stochastic algorithm to find optimal cuts that was developed in the context of the search for the top quark at Fermilab in the mid-1990s.
Bhat, Pushpalatha C. +3 more
core +2 more sources
Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data. [PDF]
J Clin Med, 2022 Jiang X, Xu C.
europepmc +3 more sources
Detection of Obstructive Sleep Apnea from ECG Signal Using SVM Based Grid Search [PDF]
International Journal of Electronics and Telecommunications, 2021 Obstructive Sleep Apnea is one common form of sleep apnea and is now tested by means of a process called Polysomnography which is time-consuming, expensive and also requires a human observer throughout the study of the subject which makes it inconvenient
K.K. Valavan +6 more
doaj +1 more source
Optimizing k-mer size using a variant grid search to enhance de novo genome assembly. [PDF]
Bioinformation, 2016 Cha S, Bird DM.
europepmc +3 more sources
Turkish Journal of Electrical Engineering and Computer SciencesMustafa Açıkkar
openalex +3 more sources