A methodology for energy multivariate time series forecasting in smart buildings based on feature selection
The massive collection of data via emerging technologies like the Internet of Things (IoT)
requires finding optimal ways to reduce the created features that have a potential impact on …
requires finding optimal ways to reduce the created features that have a potential impact on …
Machine learning automatic model selection algorithm for oceanic chlorophyll-a content retrieval
Ocean Color remote sensing has a great importance in monitoring of aquatic environments.
The number of optical imaging sensors onboard satellites has been increasing in the past …
The number of optical imaging sensors onboard satellites has been increasing in the past …
Model selection process in time series analysis of production system with random output
SO Ongbali, AC Igboanugo, SA Afolalu… - IOP Conference …, 2018 - iopscience.iop.org
In time series investigation of characteristics of production system, different competing
models are generally obtained particularly in production settings with stochastic output …
models are generally obtained particularly in production settings with stochastic output …
A framework for developing a prognostic model using partial discharge data from electrical trees
NHA Aziz - 2018 - stax.strath.ac.uk
Insulation breakdown is a key failure mode of high voltage (HV) equipment, with progressive
faults such as electrical treeing leading to potentially catastrophic failure. Electrical treeing …
faults such as electrical treeing leading to potentially catastrophic failure. Electrical treeing …
Choice of the order of the regression model for forecasting of random non-stationary economic processes
S Kubiv - Technology audit and production reserves, 2019 - journals.uran.ua
The object of research is heteroskedastic processes that affect the production of military
goods of exporting countries. Today, armed conflicts are the most significant factor affecting …
goods of exporting countries. Today, armed conflicts are the most significant factor affecting …
[PDF][PDF] ВИБІР ПОРЯДКУ РЕГРЕСІЙНОЇ МОДЕЛІ ПРИ ПРОГНОЗУВАННІ ВИПАДКОВИХ НЕСТАЦІОНАРНИХ ЕКОНОМІЧНИХ ПРОЦЕСІВ
ПС НЕСТАЦИОНАРНЫХ - core.ac.uk
Об'єктом дослідження є гетероскедастичні процеси, які впливають на виробництво
товарів військового призначення країн-експортерів. На сьогоднішній день збройні …
товарів військового призначення країн-експортерів. На сьогоднішній день збройні …
MLSurf: Surfer Motion Characterization Using Machine Learning Techniques
D Bányay - 2019 - diva-portal.org
Wave surfing is a popular sport that requires minimal financial investment, while it can still
be enjoyable from the very first attempt. At the same time, the demand for smart devices that …
be enjoyable from the very first attempt. At the same time, the demand for smart devices that …