Model evaluation for forecasting traffic accident severity in rainy seasons using machine learning algorithms: Seoul city study
J Lee, T Yoon, S Kwon, J Lee - Applied Sciences, 2019 - mdpi.com
There have been numerous studies on traffic accidents and their severity, particularly in
relation to weather conditions and road geometry. In these studies, traditional statistical …
relation to weather conditions and road geometry. In these studies, traditional statistical …
[图书][B] Causality, correlation and artificial intelligence for rational decision making
T Marwala - 2015 - books.google.com
Causality has been a subject of study for a long time. Often causality is confused with
correlation. Human intuition has evolved such that it has learned to identify causality through …
correlation. Human intuition has evolved such that it has learned to identify causality through …
Machine learning applied to the NOx prediction of diesel vehicle under real driving cycle
Euro 6 standards impose stringent nitrogen oxide (NOx) emission limits on diesel cars. NOx
emissions are significantly different between Euro 6 diesel cars and the previous standards …
emissions are significantly different between Euro 6 diesel cars and the previous standards …
Forecasting wind speed using the proposed wavelet neural network
MA Mohammed, LA Ahmed - Discrete Dynamics in Nature and …, 2023 - Wiley Online Library
Wind energy is one of the speedy processing technologies in the energy generation industry
and the most economical methods of electrical power generation. For the reliability of …
and the most economical methods of electrical power generation. For the reliability of …
An artificial neural networks approach to estimate occupational accident: a national perspective for Turkey
H Ceylan - Mathematical problems in engineering, 2014 - Wiley Online Library
Occupational accident estimation models were developed by using artificial neural networks
(ANNs) for Turkey. Using these models the number of occupational accidents and death and …
(ANNs) for Turkey. Using these models the number of occupational accidents and death and …
Flexibly-bounded rationality and marginalization of irrationality theories for decision making
T Marwala - arXiv preprint arXiv:1306.2025, 2013 - arxiv.org
In this paper the theory of flexibly-bounded rationality which is an extension to the theory of
bounded rationality is revisited. Rational decision making involves using information which …
bounded rationality is revisited. Rational decision making involves using information which …
Modeling of 2D Functionally Graded Circular Plates with Artificial Neural Network
MD Demirbaş, D Çakır - International Scientific and Vocational …, 2020 - dergipark.org.tr
The thermo-mechanical properties of the functionally graded material (FGM) depend on the
volumetric distribution that determines the material character, which is very important in …
volumetric distribution that determines the material character, which is very important in …
[PDF][PDF] Research rticle Forecasting Wind Speed Using the Proposed Wavelet Neural Network
MA Mohammed, LA Ahmed - 2023 - academia.edu
Wind energy is one of the speedy processing technologies in the energy generation industry
and the most economical methods of electrical power generation. For the reliability of …
and the most economical methods of electrical power generation. For the reliability of …
[PDF][PDF] Free Vibration Analysis of Shape Memory Alloys Used In Wind Turbine Blade Root Connection
C Emekiz, MT Altunok - International Refereed Journal of …, 2016 - researchgate.net
In this work, the free vibration analysis is done on a blade of AIR X-400W horizontal axis
wind turbine. Turbine blade length is designed as 66.5 cm and 4140 steel, shape memory …
wind turbine. Turbine blade length is designed as 66.5 cm and 4140 steel, shape memory …
Design & fabrication of small scale horizontal axis wind turbine and performance analysis of the turbine
The use of renewable energy is growing rapidly in the modern trend. Specially, wind
turbines have been playing a great role in the generation of electricity and moreover their …
turbines have been playing a great role in the generation of electricity and moreover their …