A Comprehensive Study of Smartphone-Based Indoor Activity Recognition via Xgboost
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922974
Abstract: Recently, multi-floor indoor positioning has become increasingly interesting for researchers, in which accurate recognition of indoor activities is critical for the detection of floor changes and the improvement of positioning accuracy according to indoor landmarks.… read more here.
Keywords: comprehensive study; indoor activity; recognition; activity recognition ... See more keywords
Prediction Dynamics in Cotton Aphid Using Unmanned Aerial Vehicle Multispectral Images and Vegetation Indices
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3235912
Abstract: Cotton harvest can be increased by having real-time information on the state of cotton aphid populations. However, traditional cotton aphid monitoring relies on ground sample methods supported by models such as linear regression, resulting in… read more here.
Keywords: xgboost; cotton aphid; cotton; svr ... See more keywords
Drug-induced cell viability prediction from LINCS-L1000 through WRFEN-XGBoost algorithm
Sign Up to like & getrecommendations! Published in 2021 at "BMC Bioinformatics"
DOI: 10.1186/s12859-020-03949-w
Abstract: Background Predicting the drug response of the cancer diseases through the cellular perturbation signatures under the action of specific compounds is very important in personalized medicine. In the process of testing drug responses to the… read more here.
Keywords: medicine; cell viability; lincs l1000; drug ... See more keywords
Analysis and prediction of hand, foot and mouth disease incidence in China using Random Forest and XGBoost
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DOI: 10.1371/journal.pone.0261629
Abstract: Hand, foot and mouth disease (HFMD) is an increasingly serious public health problem, and it has caused an outbreak in China every year since 2008. Predicting the incidence of HFMD and analyzing its influential factors… read more here.
Keywords: xgboost; prediction; mainland china; incidence ... See more keywords
Prediction of Dichloroethene Concentration in the Groundwater of a Contaminated Site Using XGBoost and LSTM
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19159374
Abstract: Chlorinated aliphatic hydrocarbons (CAHs) are widely used in agriculture and industries and have become one of the most common groundwater contaminations. With the excellent performance of the deep learning method in predicting, LSTM and XGBoost… read more here.
Keywords: contaminated site; xgboost; groundwater; xgboost lstm ... See more keywords