A review of electric vehicle load open data and models
The field of electric vehicle charging load modelling has been growing rapidly in the last
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …
decade. In light of the Paris Agreement, it is crucial to keep encouraging better modelling …
Machine learning in P&C insurance: A review for pricing and reserving
In the past 25 years, computer scientists and statisticians developed machine learning
algorithms capable of modeling highly nonlinear transformations and interactions of input …
algorithms capable of modeling highly nonlinear transformations and interactions of input …
Using hysteresis to predict the charge recombination properties of perovskite solar cells
The mixed halide perovskites have become famous worldwide due to their rapid
development of power conversion efficiency (PCE) and unique photoelectric properties …
development of power conversion efficiency (PCE) and unique photoelectric properties …
Classification vs. regression in supervised learning for single channel speaker count estimation
The task of estimating the maximum number of concurrent speakers from single channel
mixtures is important for various audio-based applications, such as blind source separation …
mixtures is important for various audio-based applications, such as blind source separation …
Countnet: Estimating the number of concurrent speakers using supervised learning
Estimating the maximum number of concurrent speakers from single-channel mixtures is a
challenging problem and an essential first step to address various audio-based tasks such …
challenging problem and an essential first step to address various audio-based tasks such …
Predicting consumer gaze hits: A simulation model of visual attention to dynamic marketing stimuli
C Rumpf, F Boronczyk, C Breuer - Journal of Business Research, 2020 - Elsevier
The purpose of the present study is to build and test a simulation model for the prediction of
gaze hits in the context of dynamic marketing stimuli. Forecasting the attentional effect of …
gaze hits in the context of dynamic marketing stimuli. Forecasting the attentional effect of …
How does cleaner energy transition influence standard of living and natural resources conservation? A study of households' perceptions in rural Odisha, India
SS Swain, P Mishra - Energy, 2021 - Elsevier
While importance of cleaner cooking fuels for improving quality of life and facilitating social
inclusion and ecological sustainability is well-recognized, success of the initiative depends …
inclusion and ecological sustainability is well-recognized, success of the initiative depends …
Predicting spatial crime occurrences through an efficient ensemble-learning model
Y Lamari, B Freskura, A Abdessamad… - … International Journal of …, 2020 - mdpi.com
While the use of crime data has been widely advocated in the literature, its availability is
often limited to large urban cities and isolated databases that tend not to allow for spatial …
often limited to large urban cities and isolated databases that tend not to allow for spatial …
l1-Regularization in Portfolio Selection with Machine Learning
In this work, we investigate the application of Deep Learning in Portfolio selection in a
Markowitz mean-variance framework. We refer to al 1 regularized multi-period model; the …
Markowitz mean-variance framework. We refer to al 1 regularized multi-period model; the …
Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction
OA Montesinos‐Lopez… - The Plant …, 2021 - Wiley Online Library
Genomic selection (GS) is revolutionizing conventional ways of developing new plants and
animals. However, because it is a predictive methodology, GS strongly depends on …
animals. However, because it is a predictive methodology, GS strongly depends on …