Ensemble approach for potential habitat mapping of invasive Prosopis spp. in Turkana, Kenya
Sign Up to like & getrecommendations! Published in 2018 at "Ecology and Evolution"
DOI: 10.1002/ece3.4649
Abstract: Abstract Aim Prosopis spp. are an invasive alien plant species native to the Americas and well adapted to thrive in arid environments. In Kenya, several remote‐sensing studies conclude that the genus is well established throughout… read more here.
Keywords: prosopis spp; prosopis; potential habitat; ensemble model ... See more keywords
Selection of aquaculture sites by using an ensemble model method: a case study of Ruditapes philippinarums in Moon Lake
Sign Up to like & getrecommendations! Published in 2020 at "Aquaculture"
DOI: 10.1016/j.aquaculture.2019.734897
Abstract: Abstract Manila clam Ruditapes philippinarum is one of the most important bivalve species, with high commercial value, cultured in coastal areas around the world. However, few studies have attempted to model the suitable habitats of… read more here.
Keywords: ensemble model; aquaculture sites; model; moon lake ... See more keywords
Estimating monthly wet sulfur (S) deposition flux over China using an ensemble model of improved machine learning and geostatistical approach
Sign Up to like & getrecommendations! Published in 2019 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2019.116884
Abstract: Abstract The wet S deposition was treated as a key issue because it played the negative on the soil acidification, biodiversity loss, and global climate change. However, the limited ground-level monitoring sites make it difficult… read more here.
Keywords: model; deposition flux; deposition; china ... See more keywords
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104252
Abstract: Background Chest X-ray radiography (CXR) has been widely considered as an accessible, feasible, and convenient method to evaluate suspected patients’ lung involvement during the COVID-19 pandemic. However, with the escalating number of suspected cases, traditional… read more here.
Keywords: ensemble model; hybrid ensemble; covid; model ... See more keywords
Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model
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DOI: 10.1016/j.enbuild.2020.110558
Abstract: Abstract Short-term building energy usage prediction plays an important role in fields of building energy management, power plants dispatch, and peak demand conflicting with grid security. A large number of data-driven models were applied to… read more here.
Keywords: energy; ensemble model; consumption prediction; data driven ... See more keywords
Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Renewable Energy"
DOI: 10.1016/j.renene.2020.03.168
Abstract: Abstract Accurate and reliable wind speed forecasting is vital in power system scheduling and management. Ensemble techniques are widely employed to enhance wind speed forecasting accuracy. This paper proposes a negative correlation learning-based regularized extreme… read more here.
Keywords: ensemble model; model; wind speed; relm ... See more keywords
Identifying the low risk patient in surgical intensive and intermediate care units using continuous monitoring
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DOI: 10.1016/j.surg.2017.08.022
Abstract: Background. Continuous predictive monitoring has been employed successfully to predict subclinical adverse events. Should low values on these models, however, reassure us that a patient will not have an adverse outcome? Negative predictive values of… read more here.
Keywords: care unit; care units; ensemble model; intensive care ... See more keywords
Evaluation of efficiency prediction algorithms and development of ensemble model for CRISPR/Cas9 gRNA selection
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DOI: 10.1093/bioinformatics/btac681
Abstract: MOTIVATION The CRISPR/Cas9 system is widely used for genome editing. The editing efficiency of CRISPR/Cas9 is mainly determined by the guide RNA (gRNA). Although many computational algorithms have been developed in recent years, it is… read more here.
Keywords: crispr cas9; algorithms; crispr; grna ... See more keywords
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz629
Abstract: MOTIVATION Gram-positive bacteria have developed secretion systems to transport proteins across their cell wall, a process that plays an important role during host infection. These secretion mechanisms have also been harnessed for therapeutic purposes in… read more here.
Keywords: secretion; ensemble model; gradient boosting; non classical ... See more keywords
Forecasting the Short-Term Electricity Consumption of Building Using a Novel Ensemble Model
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DOI: 10.1109/access.2019.2925740
Abstract: The accurate prediction approach of urban buildings’ electricity consumption is an important foundation for smart urban energy management. It provides a decision basis for reasonable electricity deployments upon different scenarios. Usually, a single model cannot… read more here.
Keywords: prediction; electricity; ensemble model; electricity consumption ... See more keywords
Adaptive Data Balancing Method Using Stacking Ensemble Model and Its Application to Non-Technical Loss Detection in Smart Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230952
Abstract: A stacking ensemble model (SEM) is proposed in this paper to identify non-technical losses. Three layers make up the proposed model. Data pre-processing is performed at the first layer, where issues of data imbalance, missing… read more here.
Keywords: adaptive data; stacking ensemble; layer; non technical ... See more keywords