Results 21 to 30 of about 13,815,827 (291)

An Approach to Supervised Learning: Dynamic Multi-Hyperplane Partitioning

open access: yesIEEE Access, 2020
Supervised learning has tremendous applications in cancer prediction, patient treatment, business, and engineering. Datasets for supervised learning are often corrupted by noise and non-biological effects, leading to model-overfitting and performance ...
Anuchate Pattanateepapon   +2 more
doaj   +1 more source

Use of the VegSyst model to simulate seasonal dry matter production, N and K uptake and evapotranspiration in greenhouse soil-grown tomato in Uruguay

open access: yesAgricultural Water Management, 2023
The VegSyst model, initially developed for nitrogen (N) and irrigation recommendations for greenhouse-grown vegetable crops in southeastern Spain, was calibrated and validated for greenhouse tomato cultivated in soil in Uruguay (South America) for autumn
Cecilia Berrueta   +4 more
doaj   +1 more source

ELSID-Diabetes study-evaluation of a large scale implementation of disease management programmes for patients with type 2 diabetes. Rationale, design and conduct – a study protocol [ISRCTN08471887]

open access: yesBMC Public Health, 2005
Background Diabetes model projects in different regions of Germany including interventions such as quality circles, patient education and documentation of medical findings have shown improvements of HbA1c levels, blood pressure and occurrence of ...
Gensichen Jochen   +7 more
doaj   +1 more source

Computing Offloading Strategy for Concurrent Flow Tasks Based on Two-stage Optimization [PDF]

open access: yesJisuanji gongcheng, 2022
Recently, computing offloading has attracted the attention of researchers as one of the most critical technologies in mobile edge computing. However, the existing research rarely considers the application topology, diversity of optimization objectives ...
YAO Zheng, WU Huaiyu, CHEN Yang
doaj   +1 more source

GFBio DMP Tool

open access: yes, 2023
<p>GFBio DMP Tool based on RDMO</p>- This work was supported by the German Research Foundation (DFG) within the project "Establishment of the National Research Data Infrastructure (NFDI)" in the consortium NFDI4Biodiversity (project number ...
Pfaff, Claas-Thido   +4 more
core   +1 more source

korbinib/DMP-writing-workshop: 2021_03_10_Aas

open access: yes, 2021
DMP writing workshop, for Researchers in Aas, online 09.03.- 10.03.2021Trademarks, service marks, trade names, logos, icons, and domain names in this presentations are proprietary to their respective owner and are not subject of this license.
Korbinian Bösl   +1 more
core   +1 more source

Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements

open access: yesAnimal, 2015
Spot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a GreenFeed emission monitoring (GEM) unit.
D.J. Cottle   +3 more
doaj   +1 more source

DMP Climate Neutrality Decision Models in Action

open access: yes
DMP for National Research Program project "Climate Neutrality Decision Models in Action"
Ieva Pakere   +3 more
  +7 more sources

Effect of Ionic Liquids on the Isobaric Vapor-Liquid Equilibrium Behavior of Acetone-Chloroform

open access: yesApplied Sciences, 2018
Isobaric vapor-liquid equilibrium (VLE) data of the ternary system acetone + chloroform + 1,3-dimethylimidazolium dimethylphosphate ([MMIM][DMP]) or 1-ethyl-3-methylimidazolium diethylphosphate ([EMIM][DEP]) were obtained at 101.3 kPa.
Qinglin Gao   +3 more
doaj   +1 more source

A New Efficient Hybrid Intelligent Model for Biodegradation Process of DMP with Fuzzy Wavelet Neural Networks [PDF]

open access: yesScientific Reports, 2017
AbstractA new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities of neural networks (NN), handling uncertainty
Mingzhi Huang   +3 more
openaire   +2 more sources

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