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 …

[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 …

Machine learning applied to the NOx prediction of diesel vehicle under real driving cycle

J Lee, S Kwon, H Kim, J Keel, T Yoon, J Lee - Applied Sciences, 2021 - mdpi.com
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 …

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 …

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 …

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 …

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 …

[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 …

[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 …

Design & fabrication of small scale horizontal axis wind turbine and performance analysis of the turbine

S Acharya, A Pokhrel, B Bohara… - … Conference on Smart …, 2017 - ieeexplore.ieee.org
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 …