Suchergebnisse - ANZSRC::170205 Neurocognitive Patterns and Neural Networks

Modelling nitrogen content of pasture herbage using thermal images and artificial neural networks

Autoren: Safa, Majeed Martin, KE KC, B et al.

Quelle: Thermal Science and Engineering Progress. 11:283-288

Schlagwörter: 0106 biological sciences, 2. Zero hunger, ANZSRC::070104 Agricultural Spatial Analysis and Modelling, pastoral farming, 04 agricultural and veterinary sciences, 15. Life on land, 01 natural sciences, ANZSRC::4017 Mechanical engineering, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, fertiliser (N), ANZSRC::4012 Fluid mechanics and thermal engineering, 0401 agriculture, forestry, and fisheries, infrared image, artificial neural networks

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S2451904918306668

Artificial neural networks to identify naturally existing disease severity status

Autoren: Waidyarathne, KP Samarasinghe, Sandhya

Quelle: Neural Computing and Applications. 25:1031-1041

Schlagwörter: ANZSRC::070308 Crop and Pasture Protection (Pests, 0301 basic medicine, 2. Zero hunger, 0303 health sciences, Evolutionary and Fuzzy Computation, ANZSRC::4611 Machine learning, network pruning, ANZSRC::4602 Artificial intelligence, ANZSRC::080108 Neural, 15. Life on land, SOM, MLP, 3. Good health, 03 medical and health sciences, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, WCLWD, classification, Diseases and Weeds), ANZSRC::4603 Computer vision and multimedia computation, Ward

Zugangs-URL: https://dblp.uni-trier.de/db/journals/nca/nca25.html#WaidyarathneS14
https://link.springer.com/article/10.1007/s00521-014-1572-6
https://dl.acm.org/doi/10.1007/s00521-014-1572-6
https://researcharchive.lincoln.ac.nz/handle/10182/8234

Novel recurrent neural network for modelling biological networks: Oscillatory p53 interaction dynamics

Autoren: Hong Ling Don Kulasiri Sandhya Samarasinghe

Quelle: Biosystems. 114:191-205

Schlagwörter: ANZSRC::40 Engineering, 0301 basic medicine, Neural Networks, ANZSRC::31 Biological sciences, Systems Biology, 0206 medical engineering, Proto-Oncogene Proteins c-mdm2, 02 engineering and technology, Computer, 03 medical and health sciences, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, ANZSRC::010406 Stochastic Analysis and Modelling, biological robustness, Humans, recurrent neural networks, Computer Simulation, Neural Networks, Computer, ANZSRC::060114 Systems Biology, Tumor Suppressor Protein p53, p53-Mdm2 oscillation system, artificial neural network, nonlinear ordinary differential equations, Signal Transduction

Dateibeschreibung: Print-Electronic

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/24012741
https://pubmed.ncbi.nlm.nih.gov/24012741/
https://www.sciencedirect.com/science/article/pii/S0303264713001925
https://europepmc.org/article/MED/24012741
https://www.ncbi.nlm.nih.gov/pubmed/24012741
https://researcharchive.lincoln.ac.nz/handle/10182/8233
https://doi.org/10.1016/j.biosystems.2013.08.004

Modelling fuel consumption in wheat production using artificial neural networks

Autoren: Safa, Majeed Samarasinghe, Sandhya

Quelle: Energy. 49:337-343

Schlagwörter: 2. Zero hunger, ANZSRC::0703 Crop and Pasture Production, 02 engineering and technology, neural networks, 7. Clean energy, ANZSRC::4017 Mechanical engineering, modelling, fuel consumption, Canterbury, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, wheat, ANZSRC::4012 Fluid mechanics and thermal engineering, ANZSRC::070301 Agro-ecosystem Function and Prediction, 0202 electrical engineering, electronic engineering, information engineering, ANZSRC::070105 Agricultural Systems Analysis and Modelling, ANZSRC::4008 Electrical engineering, New Zealand

Zugangs-URL: https://ideas.repec.org/a/eee/energy/v49y2013icp337-343.html
https://econpapers.repec.org/RePEc:eee:energy:v:49:y:2013:i:c:p:337-343
https://www.sciencedirect.com/science/article/pii/S0360544212008353
https://www.sciencedirect.com/science/article/pii/S0360544212008353#!

Detection of smoke-derived compounds from bushfires in Cabernet-Sauvignon grapes, must, and wine using Near-Infrared spectroscopy and machine learning algorithms

Autoren: Summerson, V Viejo, CG Torrico, Damir et al.

Quelle: OENO One, Vol 54, Iss 4 (2020)

Schlagwörter: Artificial neural networks, Smoke taint, ANZSRC::31 Biological sciences, Botany, Agriculture, smoke taint, ANZSRC::30 Agricultural, 04 agricultural and veterinary sciences, Remote sensing, ANZSRC::020503 Nonlinear Optics and Spectroscopy, remote sensing, ANZSRC::050101 Ecological Impacts of Climate Change, climate change, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, 0404 agricultural biotechnology, veterinary and food sciences, QK1-989, ANZSRC::070604 Oenology and Viticulture, Climate change, 0405 other agricultural sciences, artificial neural networks

Zugangs-URL: https://oeno-one.eu/article/download/4501/13769
https://doaj.org/article/39bb628c4fd6414aa1133989a2806686
https://doaj.org/article/11fc37805afe466790d740958bae22da
https://findanexpert.unimelb.edu.au/scholarlywork/1486386-detection-of-smoke-derived-compounds-from-bushfires-in-cabernet-sauvignon-grapes--must--and-wine-using-near-infrared-spectroscopy-and-machine-learning-algorithms
https://www.scilit.net/article/824395decea976b6a20306b042989a73
https://researcharchive.lincoln.ac.nz/handle/10182/13396
https://oeno-one.eu/article/view/4501
https://oeno-one.eu/article/download/4501/13769

Sleep Patterns During an Antarctic Field Expedition

Autoren: Weymouth, W Steel, Gary

Quelle: Military Medicine. 178:438-444

Schlagwörter: Adult, Male, Adolescent, ANZSRC::17 Psychology and Cognitive Sciences, Antarctic Regions, ANZSRC::4203 Health services and systems, Perception and Performance, cognitive, ANZSRC::170112 Sensory Processes, Young Adult, 03 medical and health sciences, Cognition, 0302 clinical medicine, Reference Values, Humans, sleep, ANZSRC::3202 Clinical sciences, Incidence, sleep patterns, sleep quality, Middle Aged, sleep disturbance, Dyssomnias, United States, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, Expeditions, Antarctic, Female, Sleep

Dateibeschreibung: Print

Zugangs-URL: https://academic.oup.com/milmed/article-pdf/178/4/438/20494949/milmed-d-12-00447.pdf
https://pubmed.ncbi.nlm.nih.gov/23707831
https://academic.oup.com/milmed/article/178/4/438/4222859
https://ir.canterbury.ac.nz/handle/10092/14165
https://www.ncbi.nlm.nih.gov/pubmed/23707831
http://www.safetylit.org/citations/index.php?fuseaction=citations.viewdetails&citationIds[]=citjournalarticle_401067_11

A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problems

Autoren: Obiedat, M Samarasinghe, Sandhya

Quelle: Applied Soft Computing. 48:91-110

Schlagwörter: Evolutionary and Fuzzy Computation, ANZSRC::170204 Linguistic Processes (incl. Speech Production and Comprehension), centrality measures, ANZSRC::4602 Artificial intelligence, 02 engineering and technology, ANZSRC::080108 Neural, 16. Peace & justice, 01 natural sciences, complex real-life problems, credibility weights, ANZSRC::4903 Numerical and computational mathematics, socio-ecological systems, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, 2-tuple fuzzy linguistic representation, policy scenario simulations, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy Cognitive Map, ANZSRC::080205 Numerical Computation, 0105 earth and related environmental sciences

Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation

Autoren: Samarasinghe, Sandhya Strickert, G

Quelle: Environmental Modelling & Software. 39:188-200

Schlagwörter: Evolutionary and Fuzzy Computation, 0208 environmental biotechnology, 0207 environmental engineering, self-organizing maps, mixed-method triangulation, 02 engineering and technology, ANZSRC::080108 Neural, 16. Peace & justice, policy simulation, fuzzy cognitive maps, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, auto-associative neural networks, 13. Climate action, ANZSRC::040604 Natural Hazards, earthquakes, ANZSRC::040601 Geomorphology and Regolith and Landscape Evolution, natural hazard mitigation

Zugangs-URL: https://dl.acm.org/doi/10.5555/2773794.2773816

NATURE-INSPIRED COGNITIVE EVOLUTION TO PLAY MS. PAC-MAN

Autoren: Tan, TG Teo, J Anthony, Patricia

Quelle: International Journal of Modern Physics: Conference Series. :456-463

Schlagwörter: ANZSRC::0801 Artificial Intelligence and Image Processing, Evolutionary and Fuzzy Computation, 9. Industry and infrastructure, ANZSRC::0603 Evolutionary Biology, ANZSRC::080108 Neural, 7. Clean energy, 01 natural sciences, Ms. Pac-man, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, 11. Sustainability, 0103 physical sciences, evolutionary artificial neural network, evolution strategies, QA Mathematics

Dateibeschreibung: text

Zugangs-URL: https://www.worldscientific.com/doi/pdf/10.1142/S2010194512005545
https://eprints.ums.edu.my/id/eprint/20595
https://www.worldscientific.com/doi/abs/10.1142/S2010194512005545
https://www.worldscientific.com/doi/pdf/10.1142/S2010194512005545
https://ui.adsabs.harvard.edu/abs/2012IJMPS...9..456T/abstract

Backpropagation Neural Ensemble for Localizing and Recognizing Non-Standardized Malaysia’s Car Plates

Autoren: Chin, Kim On Teo, Kein Yau Rayner Alfred et al.

Quelle: International Journal on Advanced Science, Engineering and Information Technology. 6:1112

Schlagwörter: ANZSRC::40 Engineering, ANZSRC::1006 Computer Hardware, car plate recognition, TJ Mechanical engineering and machinery, 01 natural sciences, feed-forward neural network, QA76.75-76.765 Computer software, image processing, ANZSRC::10 Technology, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, 13. Climate action, ANZSRC::080106 Image Processing, 0103 physical sciences, ANZSRC::46 Information and computing sciences, ensemble neural network, backpropagation

Dateibeschreibung: text

Zugangs-URL: http://www.insightsociety.org/ojaseit/index.php/ijaseit/article/download/1488/920
https://researcharchive.lincoln.ac.nz/handle/10182/9157
https://researcharchive.lincoln.ac.nz/bitstream/10182/9157/1/On%20et%20al%202016%20Backpropagation%20neural%20ensemble%20for%20localizing%20and%20recognising.pdf
http://eprints.ums.edu.my/id/eprint/28981
https://core.ac.uk/display/152454879
http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1488

Spatial Variability of Aroma Profiles of Cocoa Trees Obtained through Computer Vision and Machine Learning Modelling: A Cover Photography and High Spatial Remote Sensing Application

Autoren: Gabriela Chacon Damir D. Torrico Sigfredo Fuentes et al.

Quelle: Sensors (Basel)
Sensors, Vol 19, Iss 14, p 3054 (2019)
Sensors
Volume 19
Issue 14

Schlagwörter: ANZSRC::070104 Agricultural Spatial Analysis and Modelling, Neural Networks, Image Processing, ANZSRC::0908 Food Sciences, cocoa beans, TP1-1185, Article, Gas Chromatography-Mass Spectrometry, Machine Learning, Computer, Computer-Assisted, 0404 agricultural biotechnology, Image Processing, Computer-Assisted, ANZSRC::080302 Computer System Architecture, volatile compounds, sensors and digital hardware, ANZSRC::4606 Distributed computing and systems software, 2. Zero hunger, Cacao, Volatile Organic Compounds, leaf area index, Chemical technology, ANZSRC::080110 Simulation and Modelling, 1. No poverty, ANZSRC::4009 Electronics, 04 agricultural and veterinary sciences, VitiCanopy app, 15. Life on land, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, 13. Climate action, Remote Sensing Technology, Neural Networks, Computer, ANZSRC::4008 Electrical engineering, artificial neural networks

Dateibeschreibung: application/pdf; Electronic

Zugangs-URL: https://www.mdpi.com/1424-8220/19/14/3054/pdf
https://pubmed.ncbi.nlm.nih.gov/31373303
https://doaj.org/article/f0fa52ca6f4f4cde800cfcb8aa4d974e
https://pubmed.ncbi.nlm.nih.gov/31373303/
https://www.mdpi.com/1424-8220/19/14/3054
https://minerva-access.unimelb.edu.au/bitstream/handle/11343/241653/sensors-19-03054.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678375
https://findanexpert.unimelb.edu.au/scholarlywork/1402790-spatial-variability-of-aroma-profiles-of-cocoa-trees-obtained-through-computer-vision-and-machine-learning-modelling--a-cover-photography-and-high-spatial-remote-sensing-application
https://www.mdpi.com/1424-8220/19/14/3054/pdf

A mathematical model of synaptotagmin 7 revealing functional importance of short-term synaptic plasticity

Autoren: He, Yao Kulasiri, Don Liang, JIngyi

Quelle: Neural Regen Res
Neural Regeneration Research, Vol 14, Iss 4, Pp 621-631 (2019)

Schlagwörter: 0301 basic medicine, 0303 health sciences, synapse, short-term plasticity, short-term facilitation and depression, mathematical model, low-frequency stimulation, high-frequency stimulation, ANZSRC::3209 Neurosciences, 03 medical and health sciences, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, ANZSRC::100404 Regenerative Medicine (incl. Stem Cells and Tissue Engineering), Neurology. Diseases of the nervous system, RC346-429, Research Article

Dateibeschreibung: Print

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/30632502
https://doaj.org/article/13ba64b6f27a4cf9a749f6cec49c1fd6
http://www.nrronline.org/article.asp?issn=1673-5374;year=2019;volume=14;issue=4;spage=621;epage=631;aulast=He
https://www.ncbi.nlm.nih.gov/pubmed/30632502
https://europepmc.org/abstract/MED/30632502
http://www.nrronline.org/article.asp?issn=1673-5374;year=2019;volume=14;issue=4;spage=621;epage=631;aulast=He;type=2
https://researcharchive.lincoln.ac.nz/handle/10182/10800
https://pubmed.ncbi.nlm.nih.gov/30632502/

Prediction of wheat production using artificial neural networks and investigating indirect factors affecting it: Case study in Canterbury province, New Zealand

Autoren: Safa, Majeed Samarasinghe, Sandhya Nejat, M

Schlagwörter: agricultural production, agricultural systems, modelling, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, ANZSRC::070301 Agro-ecosystem Function and Prediction, ANZSRC::070103 Agricultural Production Systems Simulation, ANZSRC::070105 Agricultural Systems Analysis and Modelling, ANZSRC::30 Agricultural, veterinary and food sciences

Dateibeschreibung: pp.791-803

Relation: The original publication is available from Tarbiat Modares University - http://jast.modares.ac.ir/browse.php?mag_id=634&slc_lang=en&sid=23; Journal of Agricultural Science and Technology; https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:000360584500001&DestLinkType=FullRecord&DestApp=WOS_CPL; CQ4ON (isidoc); https://hdl.handle.net/10182/8206

Verfügbarkeit: https://hdl.handle.net/10182/8206
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:000360584500001&DestLinkType=FullRecord&DestApp=WOS_CPL

Real time mobile based license plate recognition system with neural networks

Autoren: Liew, C On, CK Alfred, R et al.

Quelle: International Conference on Telecommunication, Electronic and Computer Engineering (ICTEC) 2019

Schlagwörter: Convolutional Neural Network, Backpropagation Feed Forward Neural Network, license plates, character recognition, Automatic License Plate Recognition, ANZSRC::0801 Artificial Intelligence and Image Processing, ANZSRC::080108 Neural, Evolutionary and Fuzzy Computation, ANZSRC::170205 Neurocognitive Patterns and Neural Networks, ANZSRC::0906 Electrical and Electronic Engineering, ANZSRC::51 Physical sciences

Geographisches Schlagwort: Melaka, Malaysia

Dateibeschreibung: 8 pages

Relation: The original publication is available from IOP Publishing Ltd - https://doi.org/10.1088/1742-6596/1502/1/012032 - https://iopscience.iop.org/issue/1742-6596/1502/1; Journal of Physics: Conference Series; https://doi.org/10.1088/1742-6596/1502/1/012032; https://hdl.handle.net/10182/13235

Verfügbarkeit: https://hdl.handle.net/10182/13235
https://doi.org/10.1088/1742-6596/1502/1/012032