Ensemble approach for potential habitat mapping of invasive Prosopis spp. in Turkana, Kenya
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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
Identifying Drivers Affecting the Spatial Distribution of Suitable Habitat for the Pine Wood Nematode (Bursaphelenchus xylophilus) in China: Insights From Ensemble Model and Geographical Detector
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DOI: 10.1002/ece3.71433
Abstract: ABSTRACT Biological invasions have become an important threat to global ecological security and forest health, and exploring the environmental driving mechanisms of invasive species is important for prevention and control. Bursaphelenchus xylophilus (Steiner and Buhrer,… read more here.
Keywords: ensemble model; suitability; distribution; suitability xylophilus ... See more keywords
An interpretable ensemble model combining handcrafted radiomics and deep learning for predicting the overall survival of hepatocellular carcinoma patients after stereotactic body radiation therapy
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Cancer Research and Clinical Oncology"
DOI: 10.1007/s00432-025-06119-8
Abstract: Hepatocellular carcinoma (HCC) remains a global health concern, marked by increasing incidence rates and poor outcomes. This study seeks to develop a robust predictive model by integrating radiomics and deep learning features with clinical data… read more here.
Keywords: deep learning; ensemble model; handcrafted radiomics; radiomics deep ... See more keywords
Prediction of discharge coefficient of submerged gates using a stacking ensemble model
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DOI: 10.1007/s00500-025-10518-x
Abstract: Improving the precision of discharge coefficient (Cd) prediction is crucial for effective agricultural water management. However, existing methods for Cd calculation are often complex and dependent on specific assumptions. Therefore, there is a critical need… read more here.
Keywords: ensemble model; prediction; base; model ... See more keywords
Ensemble modeling of extreme seasonal temperature trends in Iran under socio-economic scenarios
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DOI: 10.1007/s11069-024-06830-8
Abstract: A new ensemble model was introduced and evaluated for projecting minimum and maximum temperatures in Iran. Trends in minimum and maximum temperatures in the near term (2021–2040) were obtained using socio-economic scenarios of five models… read more here.
Keywords: temperature; ensemble model; minimum maximum; economic scenarios ... 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
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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