Results 41 to 50 of about 211,846 (266)
Frontiers in Energy ResearchWith the continued development and progress of industrialisation, modernisation, and smart cities, global energy demand continues to increase. Photovoltaic systems are used to control CO2 emissions and manage global energy demand.
Manoharan Madhiarasan
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Energies, 2022 Currently, AC motors are a key element of industrial and commercial drive systems. During normal operation, the machines may become damaged, which may pose a threat to the users.
Maciej Skowron +2 more
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Hyperparameter Tuning Approaches
, 2023 AbstractThis chapter provides a broad overview over the different hyperparameter tunings. It details the process of HPT, and discusses popular HPT approaches and difficulties. It focuses on surrogate optimization, because this is the most powerful approach.
Thomas Bartz-Beielstein +1 more
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Learning Individualized Hyperparameter Settings
Algorithms, 2023 The performance of optimization algorithms, and consequently of AI/machine learning solutions, is strongly influenced by the setting of their hyperparameters. Over the last decades, a rich literature has developed proposing methods to automatically determine the parameter setting for a problem of interest, aiming at either robust or instance-specific ...
Vittorio Maniezzo, Tingting Zhou
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
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Optimizing EMG Classification through Metaheuristic Algorithms
Technologies, 2023 This work proposes a metaheuristic-based approach to hyperparameter selection in a multilayer perceptron to classify EMG signals. The main goal of the study is to improve the performance of the model by optimizing four important hyperparameters: the ...
Marcos Aviles +2 more
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Accelerating Hyperparameter Optimisation with PyCOMPSs [PDF]
Workshop Proceedings of the 48th International Conference on Parallel Processing, 2019 Machine Learning applications now span across multiple domains due to the increase in computational power of modern systems. There has been a recent surge in Machine Learning applications in High Performance Computing (HPC) in an attempt to speed up training. However, besides training, hyperparameters optimisation(HPO) is one of the most time consuming
Njoroge Kahira, Albert +3 more
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Tumor mutational burden as a determinant of metastatic dissemination patterns
Molecular Oncology, EarlyView.This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
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The Efficiency of YOLOv5 Models in the Detection of Similar Construction Details
Applied SciencesComputer vision solutions have become widely used in various industries and as part of daily solutions. One task of computer vision is object detection. With the development of object detection algorithms and the growing number of various kinds of image ...
Tautvydas Kvietkauskas +3 more
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Recurrent neural network optimization for wind turbine condition prognosis
Diagnostyka, 2022 This research focuses on employing Recurrent Neural Networks (RNN) to prognosis a wind turbine operation’s health from collected vibration time series data, by using several memory cell variations, including Long Short Time Memory (LSTM), Bilateral LSTM (
Kerboua Adlen, Kelaiaia Ridha
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