Keresés
39 találatból megjelenítve: 31-39
Cím: An energy-aware and Q-learning-based area coverage for oil pipeline monitoring systems using sensors and Internet of Things
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Accurate simulation of tumor growth during chemotherapy has significant potential to alleviate the risk of unknown side effects and optimize clinical trials. In this study, a 3D simulation model encompassing angiogenesis ...
Cím: Preventing cloud network from spamming attacks using cloudflare and KNN
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Islamic resistance to secularism is one of the most frequently stated problems in France. This paper addresses this issue as seen by French Muslim discourses. It is argued, here, that French Muslim discourses on la?cité ...
Cím: Two layer symmetric cryptography algorithm for protecting data from attacks
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Dátum: 2023
Feltöltve: 2023-02-16
(2023)
Authentication protocols are often used in smart grids to deliver the necessary level of security. A huge number of clients in such a system, however, provides the attacker with the ability to clone them, for example. ...
Cím: Comparative analysis of machine learning and numerical modeling for combined heat transfer in polymethylmethacrylate
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
This study has compared different methods to predict the simultaneous effects of conductive and radiative heat transfer in a polymethylmethacrylate (PMMA) sample. PMMA is a type of polymer utilized in various sensors and ...
Cím: Data driven models to predict pore pressure using drilling and petrophysical data
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Hydrological drought forecasting is a key component in water resources modeling as it relates directly to water availability. It is crucial in managing and operating dams, which are constructed in rivers. In this study, ...
Cím: Blockchain and Artificial Intelligence: Connecting Two Distinct Technologies to Comply with GDPR's Data Protection By Design Principle
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
This work considers a multifactor linear mixed model under heteroscedasticity in random-effect factors and the skew-normal errors for modeling the correlated datasets. We implement an expectation–maximization (EM) algorithm ...
Cím: Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
The present study focused on the development, optimization, and performance evaluation of a harvesting robot for heavyweight agricultural products. The main objective of developing this system is to improve the harvesting ...
Cím: Systematic review of deep learning and machine learning for building energy
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
The building energy (BE) management plays an essential role in urban sustainability and smart cities. Recently, the novel data science and data-driven technologies have shown significant progress in analyzing the energy ...
Cím: Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid ...