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Global Ecology and Conservation, ISSN 2351-9894, 03/2020, Volume 21, p. e00855
Islands are well-known to house an incredible biodiversity, higher level of threatened species and extinctions than mainlands. Because of human activities and... 
Malvaceae | Restoration | Physical dormancy | Germination | Conservation | BIODIVERSITY | SAVANNA | SEED-GERMINATION | ESTABLISHMENT SUCCESS | LIGHT | CLIMATE-CHANGE | LA REUNION | INVASIVE GRASS | PHYSICAL DORMANCY BREAK | TREE | ECOLOGY | BIODIVERSITY CONSERVATION | Life Sciences | Vegetal Biology
Journal Article
Ecological Engineering, ISSN 0925-8574, 10/2018, Volume 122, pp. 10 - 15
•Dormancy in H. contortus seeds is broken after 1 year of after-ripening.•Light is required for optimal germination of H. contortus seeds.•Seed viability is... 
Heteropogon contortus | Photoblasty | Savannas restoration | Smoke-infused water | Physiological dormancy | Germination | LIMITATIONS | QUALITY | GRASSLAND | SEEDLING GROWTH | SMOKE EXTRACT | SIGNALS | RELEASE | ESTABLISHMENT | ENVIRONMENTAL SCIENCES | INVASION | ENGINEERING, ENVIRONMENTAL | ECOLOGY | Seeds
Journal Article
Journal Article
Ecological Engineering, ISSN 0925-8574, 10/2018, Volume 122, p. 10
As observed at a world scale, in Reunion Island Heteropogon contortus savannas face major pressure and need to be preserved and restored. However, the use of... 
Grasslands | Darkness | Seeds | Methodology | Germination | Beekeeping | Smoke | Photobiology | Seed germination | Dormancy | Ripening | Storage | Restoration | Solutions | Reproducibility | Light | Environmental restoration | Flowers & plants | Savannahs | Species
Journal Article
Energy Conversion and Management, ISSN 0196-8904, 2008, Volume 49, Issue 5, pp. 1156 - 1166
Short term load forecasting (STLF) is an essential tool for efficient power system planning and operation. We propose in this paper the use of Bayesian... 
Load modelling | Short term load forecasting | Bayesian inference | Neural networks | Model selection | load modelling | MECHANICS | THERMODYNAMICS | HOUR | ENERGY & FUELS | neural networks | model selection | short term load forecasting | PHYSICS, NUCLEAR | Analysis | Engineering Sciences
Journal Article
Heart, Lung and Circulation, ISSN 1443-9506, 2009, Volume 18, pp. S248 - S248
Journal Article
IEEE Transactions on Neural Networks, ISSN 1045-9227, 03/2006, Volume 17, Issue 2, pp. 273 - 293
Journal Article
Journal of Solar Energy Engineering, Transactions of the ASME, ISSN 0199-6231, 2006, Volume 128, Issue 3, pp. 394 - 405
Journal Article
Energy Conversion & Management, ISSN 0196-8904, 05/2008, Volume 49, Issue 5, pp. 1156 - 1156
Bayesian neural network approach to short time load forecasting (STLF) was investigated. STLF was essential for planning the day to day operation of an... 
Journal Article
Energy Conversion & Management, ISSN 0196-8904, 05/2008, Volume 49, Issue 5, pp. 1156 - 1156
Bayesian neural network approach to short time load forecasting (STLF) was investigated. STLF was essential for planning the day to day operation of an... 
Journal Article
12/2012
This paper deals with neural networks modelling of HVAC systems. In order to increase the neural networks performances, a method based on sensitivity analysis... 
Journal Article
Journal of Solar Energy Engineering, Transactions of the ASME, ISSN 0199-6231, 05/2005, Volume 127, Issue 2, pp. 294 - 301
This paper deals with a new model of HVAC systems for hourly simulations. The former is derived from a short time step model that is priory described. The... 
HEAT-PUMPS | THERMAL-MODEL | ENERGY & FUELS | ENGINEERING, MECHANICAL | Air conditioning | Equipment and supplies | Research | HVAC equipment | Solar energy | Thermics | Mechanics | Engineering Sciences | Physics | Civil Engineering
Journal Article
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005, ISSN 2161-4393, 2005, Volume 2, pp. 960 - 965 vol. 2
This paper deals with a new saliency measure for ranking and removing the less important inputs and hidden nodes. This new metric is the result of a global... 
Intelligent networks | Sensitivity analysis | Input variables | Neural networks | Cost function | Control systems | Polynomials | System identification | Testing | Power engineering and energy
Conference Proceeding
1905, United States congressional serial set, Volume 58th Congress, no. 430, pt. 1, 883
Human remains (Archaeology) | Jewelry | Smithson, James | Interoceanic canals | Dept. of the Interior | Description and travel | Dams | Wildlife conservation | Antiquities | Urban areas | Monographs | Eclipses | Sun | Petroleum | Paper and paper products | Territories and possessions | Geological Survey | Petroglyphs | Telescopes | Lenses | Irrigation | Art | United States | National Museum of Natural History | Metals | Leather | Research | Pearls | Zittel, Karl Alfred von | Bees | Archaeology | Fishes | Smithsonian Institution | Bureau of American Ethnology | Evolution | Population | Solar system | Reclamation of land | Hides and skins | Animal flight | Aeronautics | Indian reservations | Birds | Radio | Subways | Economic development | Museum acquisitions | Laws and legislation | Photography | Horses | Exhibitions | Aged | Color blindness | Astronomy | Indigenous peoples | Sanitation | Humans | Radiation | Electric lighting | Oysters | College teachers | Stokes, George Gabriel | Railroads | Weapons | Scientific apparatus and instruments | Light | Gegenbauer, Karl | Smithsonian Astrophysical Observatory | Clay | Architecture | Malaria | Fisheries and fishing industry | Textile fabrics | Reclamation Service (1902-1907) | Chemistry | Gas-lighting | Wildlife refuges | Atmosphere | Vision | Annual Reports | Death | Scientists | Temples | Levees | Airplanes | Zoology | Science | Anthropology | Flowers | Mountains | Federal aid to museums | Zoos | Electricity | Lighting | Age | Gravity | Federal receipts and expenditures | Geology | Wood | Buildings | Museums | Observatories | Financial statements | Animals | Urban transportation | Lightning | International Exchange Service | Museum exhibits
eBook
2000, ISBN 0080438652
This chapter presents the use of Artificial Neural Networks (ANN) for the modeling of the cooling loads of HVAC systems, and to predict therefore the energy... 
Book Chapter
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