Anomaly detection, analysis and prediction techniques in iot environment: A systematic literature review
M Fahim, A Sillitti - IEEE Access, 2019 - ieeexplore.ieee.org
Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …
past few years due to the advancement of sensor monitoring technologies, low-cost …
Stock market forecasting using computational intelligence: A survey
Stock market plays a key role in economical and social organization of a country. Stock
market forecasting is highly demanding and most challenging task for investors, professional …
market forecasting is highly demanding and most challenging task for investors, professional …
Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015
MP Singleton, AE Thode, AJS Meador… - Forest ecology and …, 2019 - Elsevier
In the last three decades, over 4.1 million hectares have burned in Arizona and New Mexico
and the largest fires in documented history have occurred in the past two decades. Changes …
and the largest fires in documented history have occurred in the past two decades. Changes …
BIFM: Big-data driven intelligent forecasting model for COVID-19
Ever since the pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China, it
has been recognized as a global threat and several studies have been carried out nationally …
has been recognized as a global threat and several studies have been carried out nationally …
Multiscale deep bidirectional gated recurrent neural networks based prognostic method for complex non-linear degradation systems
Reliable estimation of the remaining useful life (RUL) of complex engineered systems plays
a vital role in avoiding undue maintenance situations while guaranteeing system safety …
a vital role in avoiding undue maintenance situations while guaranteeing system safety …
Coupling sentiment and human mobility in natural disasters: a Twitter-based study of the 2014 South Napa Earthquake
Understanding population dynamics during natural disasters is important to build urban
resilience in preparation for extreme events. Social media has emerged as an important …
resilience in preparation for extreme events. Social media has emerged as an important …
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability
In situ observations of suspended sediment concentration (SSC) and hydrodynamics were
conducted in the subaqueous Yellow River Delta, China. With the dataset, a new least …
conducted in the subaqueous Yellow River Delta, China. With the dataset, a new least …
An EEMD-BiLSTM algorithm integrated with Boruta random forest optimiser for significant wave height forecasting along coastal areas of Queensland, Australia
Using advanced deep learning (DL) algorithms for forecasting significant wave height of
coastal sea waves over a relatively short period can generate important information on its …
coastal sea waves over a relatively short period can generate important information on its …
Environmentally induced functional shifts in phytoplankton and their potential consequences for ecosystem functioning
Phytoplanktonic organisms are particularly sensitive to environmental change, and, as they
represent a direct link between abiotic and biotic compartments within the marine food web …
represent a direct link between abiotic and biotic compartments within the marine food web …
Day-ahead seasonal solar radiation prediction, combining VMD and STACK algorithms
S El Bakali, O Hamid, S Gheouany - Clean Energy, 2023 - academic.oup.com
This article proposes a method for accurately predicting solar irradiance over a 24-hour
horizon to forecast photovoltaic energy generation in a positive-energy building. In order to …
horizon to forecast photovoltaic energy generation in a positive-energy building. In order to …