Results 21 to 30 of about 334,287 (161)
Kernel SVM Classifiers based on Fractal Analysis for Estimation of Hearing Loss
ENP Engineering Science Journal, 2022 Hearing screening consists of analyzing the hearing capacity of an individual, regardless of age. It identifies serious hearing problems, degree, type and cause of the hearing loss and the needs of the person to propose a solution.
Mohamed Djemai, Mhania Guerti
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GRID Resource Searching on the GridSim Simulator [PDF]
, 2009 Nowadays, the Grid is the focus of multiple researches. Our work is centered on Resource Management for Grids as it is an opened and current research area. Decentralized, scalable and efficient resource search algorithms are one of the key issues for resource management in large Grid systems.
Antonia Gallardo +4 more
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Journal of Marine Science and Engineering, 2021 Constructing offshore and coastal structures with the highest level of stability and lowest cost, as well as the prevention of faulty risk, is the desired plan that stakeholders seek to obtain.
Alawi Alqushaibi +5 more
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Feature Selection and Classification of Ulcerated Lesions Using Statistical Analysis for WCE Images
Applied Sciences, 2017 Wireless capsule endoscopy (WCE) is a technology developed to inspect the whole gastrointestinal tract (especially the small bowel area that is unreachable using the traditional endoscopy procedure) for various abnormalities in a non-invasive manner ...
Shipra Suman +6 more
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A Hybrid Neural Network Model for Short-Term Wind Speed Forecasting
Energies, 2023 This study proposes an effective wind speed forecasting model combining a data processing strategy, neural network predictor, and parameter optimization method.
Shengxiang Lv, Lin Wang, Sirui Wang
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Improving the Robustness and Quality of Biomedical CNN Models through Adaptive Hyperparameter Tuning
Applied Sciences, 2022 Deep learning is an obvious method for the detection of disease, analyzing medical images and many researchers have looked into it. However, the performance of deep learning algorithms is frequently influenced by hyperparameter selection, the question of
Saeed Iqbal +4 more
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Deteksi Dini Penyakit Diabetes Menggunakan Machine Learning dengan Algoritma Logistic Regression
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2022 Diabetes menjadi salah satu penyakit yang mematikan di dunia, termasuk di Indonesia. Diabetes dapat menyebabkan komplikasi di banyak bagian tubuh dan secara keseluruhan dapat meningkatkan risiko kematian.
Erlin +4 more
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Hyperparameter Tuning on Classification Algorithm with Grid Search
SISTEMASI, 2022 Currently, machine learning algorithms continue to be developed to perform optimization with various methods to produce the best-performing model. In Supervised learning or classification, most of the algorithms have hyperparameters. Tuning hyperparameter is an architecture of deep learning to improve the performance of predictive models.
Wahyu Nugraha, Agung Sasongko
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Urban ScienceAdvancing urban scholarship and addressing pressing challenges such as gentrification, housing affordability, and urban sprawl require robust predictive models.
Tris Kee, Winky K.O. Ho
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Safe Grid Search with Optimal Complexity
CoRR, 2018 Popular machine learning estimators involve regularization parameters that can be challenging to tune, and standard strategies rely on grid search for this task. In this paper, we revisit the techniques of approximating the regularization path up to predefined tolerance $ε$ in a unified framework and show that its complexity is $O(1/\sqrt[d]ε)$ for ...
Eugène Ndiaye +4 more
openaire +3 more sources