Results 21 to 30 of about 9,482,218 (334)
, 2020 This paper aims to review Artificial neural networks, Multi-Layer Perceptron Neural network (MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for early diagnosis of breast cancer based on their accuracy in order to ...
Meha D. Desai, Manan Shah
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Cardiac Arrhythmia Classification by Multi-Layer Perceptron and Convolution Neural Networks [PDF]
Bioengineering, 2018 The electrocardiogram (ECG) plays an imperative role in the medical field, as it records heart signal over time and is used to discover numerous cardiovascular diseases. If a documented ECG signal has a certain irregularity in its predefined features, this is called arrhythmia, the types of which include tachycardia, bradycardia, supraventricular ...
Savalia, Shalin, Emamian, Vahid
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Predicting the Grouting Ability of Sandy Soils by Artificial Neural Networks Based On Experimental Tests [PDF]
Civil Engineering Infrastructures Journal, 2014 In this paper, the grouting ability of sandy soils is investigated by artificial neural networks based on the results of chemical grout injection tests.
Mahmoud Hassanlourad +2 more
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A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks [PDF]
, 2020 In this paper, we present a gradient-free approach for training multi-layered neural networks based upon quantum perceptrons. Here, we depart from the classical perceptron and the elemental operations on quantum bits, i.e. qubits, so as to formulate the problem in terms of quantum perceptrons.
Tariq Mahmood Khan, Antonio Robles-Kelly
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Engineering, Technology & Applied Science Research, 2021 The goal of the current study is to develop a diagnosis model for chili pepper disease diagnosis by applying filter and wrapper feature selection methods as well as a Multi-Layer Perceptron Neural Network (MLPNN).
S. Nuanmeesri, W. Sriurai
semanticscholar +1 more source
Option Pricing Based on Modular Neural Network [PDF]
تحقیقات مالیObjective Hedging the risk caused by price volatility using options relies on an accurate and appropriate valuation of those options. Therefore, the purpose of this research is to value the options traded on the Tehran Stock Exchange using modular neural
Moslem Peymany Foroushani +2 more
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Scientific Reports, 2023 The clinical applications of brain age prediction have expanded, particularly in anticipating the onset and prognosis of various neurodegenerative diseases.
Yoonji Joo +8 more
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Arabian Journal of Chemistry, 2022 The design and development of supercritical carbon dioxide (sc-CO2) based processes for production of pharmaceutical micro/nanoparticles is one of the interesting research topics of pharmaceutical industries owing to its attractive advantages.
Nedasadat Saadati Ardestani +3 more
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Performance comparison of land change modeling techniques for land use projection of arid watersheds [PDF]
Global Journal of Environmental Science and Management, 2018 The change of land use/land cover has been known as an imperative force in environmental alteration, especially in arid and semi-arid areas. This research was mainly aimed to assess the validity of two major types of land change modeling techniques via a
S.M. Tajbakhsh +3 more
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IEEE Access, 2021 Smart control systems are mostly applied in industry to control the movements of heavy machinery while optimizing overall operational efficiency. Major shipping companies use large quay cranes to load and unload containers from ships and still rely on ...
Sergej Jakovlev +2 more
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