Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …
technologies, which promise to realize lean and just-in-time production through digitization …
The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …
combat global climate change. We identify two crucial opportunities that AI offers in this …
Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
Some recent studies have shown that machine learning can achieve higher predictive
accuracy than logit models. However, existing studies rarely examine behavioral outputs …
accuracy than logit models. However, existing studies rarely examine behavioral outputs …
Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis
A Alwosheel, S van Cranenburgh… - Journal of choice modelling, 2018 - Elsevier
Abstract Artificial Neural Networks (ANNs) are increasingly used for discrete choice analysis.
But, at present, it is unknown what sample size requirements are appropriate when using …
But, at present, it is unknown what sample size requirements are appropriate when using …
Predicting the travel mode choice with interpretable machine learning techniques: A comparative study
MT Kashifi, A Jamal, MS Kashefi… - Travel Behaviour and …, 2022 - Elsevier
Prediction of mode choice for travelers has been the subject of keen interest among
transportation planners. Traditionally, mode choice analysis is conducted by statistical …
transportation planners. Traditionally, mode choice analysis is conducted by statistical …
Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach
Active travel has environmental, social, and public health-related benefits. Researchers from
diverse domains have extensively studied built-environment associations with active travel …
diverse domains have extensively studied built-environment associations with active travel …
[HTML][HTML] A review of the use of artificial intelligence methods in infrastructure systems
L McMillan, L Varga - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …
growth of digitalisation and has the potential to enable the 'system of systems' approach …
Examining non-linear associations between built environments around workplace and adults' walking behaviour in Shanghai, China
Considering that most working adults spend nearly half their waking time at work, creating a
supportive built environment around workplaces could be a feasible approach to maintain …
supportive built environment around workplaces could be a feasible approach to maintain …
A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity
Discrete choice models has been for decades the most used technique to model travel
mode choice, being the multinomial logit (MNL) the most popular model among them …
mode choice, being the multinomial logit (MNL) the most popular model among them …