Results 21 to 30 of about 115,779 (267)
IDENTIFYING THREATS IN COMPUTER NETWORK BASED ON MULTILAYER NEURAL NETWORK
Nauka ta progres transportu, 2018 Purpose. Currently, there appear more often the reports of penetration into computer networks and attacks on the Web-server. Attacks are divided into the following categories: DoS, U2R, R2L, Probe.
I. V. Zhukovyts’kyy, V. M. Pakhomovа
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JTAM (Jurnal Teori dan Aplikasi Matematika), 2022 This article discusses the results of research on the combination of learning rate values, momentum, and the number of neurons in the hidden layer of the ANN Backpropagation (ANN-BP) architecture using meta-analysis.
Syaharuddin Syaharuddin +2 more
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EnergiesThis study investigates the use of artificial neural networks (ANNs) and deep neural networks (DNNs) for estimating photovoltaic (PV) energy output, with a particular focus on hyperparameter tuning.
Atıl Emre Cosgun
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Bike Sharing Prediction using Deep Neural Networks
JOIV: International Journal on Informatics Visualization, 2017 In this paper, we will use deep neural networks for predicting the bike sharing usage based on previous years usage data. We will use because deep neural nets for getting higher accuracy.
Chandrasegar Thirumalai +1 more
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TeraHertz imaging of hidden paint layers on canvas
Optics Express, 2009 We show terahertz reflection images of hidden paint layers in a painting on canvas and compare the results with X-ray Radiography and In-frared Reflectography. Our terahertz measurements show strong reflections from both the canvas/paint interface and from the raw umber/lead white interface, indicating sufficient refractive-index contrast.
Adam, A.J.L. (author) +3 more
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Roughness Assessment for Machined Surfaces in Turning Operation Using Neural Network [PDF]
Engineering and Technology Journal, 2014 Feed forward artificial neural network has been applied to predict the quality of turned surfaces for two types of coated carbide inserts. Four networks were proposed for each insert.
Mohanned M.H. AL-Khafaji +2 more
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Prediksi Gagal Jantung Menggunakan Artificial Neural Network
Jurnal Saintekom, 2023 Cardiovascular disease or heart problems are the leading cause of death worldwide. According to WHO (World Health Organization) every year there are more than 17.9 million deaths worldwide. In previous studies, there have been many studies related to the
Simeon Yuda Prasetyo
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Deep Learning with Stacked Denoising Auto-Encoder for Short-Term Electric Load Forecasting
Energies, 2019 Accurate short-term electric load forecasting is significant for the smart grid. It can reduce electric power consumption and ensure the balance between power supply and demand.
Peng Liu, Peijun Zheng, Ziyu Chen
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Fractal and FractionalThe current investigation examines the numerical performance of the fractional-order endemic disease model based on the direct spreading of cholera by applying the neuro-computing Bayesian regularization (BR) neural network process.
Saadia Malik
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Sensors, 2021 Aiming at addressing the problems of short battery life, low payload and unmeasured load ratio of logistics Unmanned Aerial Vehicles (UAVs), the Radial Basis Function (RBF) neural network was trained with the flight data of logistics UAV from the ...
Qin Yang +5 more
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