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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
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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
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. The algorithm, and associated code, have been enhanced recently with the introduction of two new cut types, one of which has been successfully used in searches
P C Bhat, S Sekmen, Chip Stewart
exaly +3 more sources
Architecture of a grid-enabled Web search engine [PDF]
Information Processing and Management, 2007 Search Engine for South-East Europe (SE4SEE) is a socio-cultural search engine running on the grid infrastructure. It offers a personalized, on-demand, country-specific, category-based Web search facility. The main goal of SE4SEE is to attack the page freshness problem by performing the search on the original pages residing on the Web, rather than on ...
Tayfun Kucukyilmaz +2 more
exaly +4 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
Frontiers in Physiology, 2023 Introduction: Predicting ventricular arrhythmia Torsade de Pointes (TdP) caused by drug-induced cardiotoxicity is essential in drug development. Several studies used single biomarkers such as qNet and Repolarization Abnormality (RA) in a single cardiac ...
Yunendah Nur Fuadah +8 more
doaj +1 more source
Grid Search Based Tire-Road Friction Estimation
IEEE Access, 2020 The tire-road friction coefficient (μmax) is an important input for vehicle dynamics control system and automated driving modules. However, reliable and accurate measurement of this parameter is difficult and costly in mass-produced vehicles and ...
Liang Shao +3 more
doaj +1 more source
Spatial search on grids with minimum memory [PDF]
Quantum Information and Computation, 2015 We study quantum algorithms for spatial search on finite dimensional grids. Patel \textit{et al.}~and Falk have proposed algorithms based on a quantum walk without a coin, with different operators applied at even and odd steps. Until now, such algorithms have been studied only using numerical simulations.
Andris Ambainis +2 more
openaire +2 more sources