Search Results - anzsrc::4606 distributed computing and systems software*

The Impact of Agile Development Practices on Project Outcomes

Authors: Dipendra Ghimire Stuart Charters

Source: Software; Volume 1; Issue 3; Pages: 265-275

Subject Terms: agile software development, teamwork, software factors, ANZSRC::4612 Software engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, ANZSRC::460806 Human-computer interaction, ANZSRC::4606 Distributed computing and systems software

File Description: application/pdf

Probing Biological Nitrogen Fixation in Legumes Using Raman Spectroscopy

Authors: Abdolabbas Jafari Kritarth Seth Armin Werner et al.

Source: Sensors (Basel)
Sensors, Vol 24, Iss 15, p 4944 (2024)

Subject Terms: 0301 basic medicine, Glycine max, Nitrogen, TP1-1185, ANZSRC::410603 Soil biology, non-destructive, rhizobia, Spectrum Analysis, Raman, Article, ANZSRC::300210 Sustainable agricultural development, 03 medical and health sciences, Nitrogen Fixation, biosystems, Least-Squares Analysis, sensors and digital hardware, Symbiosis, Raman, ANZSRC::300805 Oenology and viticulture, ANZSRC::4606 Distributed computing and systems software, 2. Zero hunger, 0303 health sciences, precision agriculture, ANZSRC::460907 Information systems for sustainable development and the public good, Spectrum Analysis, Chemical technology, pattern recognition, ANZSRC::4009 Electronics, Fabaceae, chemometrics, symbiosis, ANZSRC::4008 Electrical engineering

File Description: Electronic

Access URL: https://pubmed.ncbi.nlm.nih.gov/39123990
https://doaj.org/article/bda4a9d759874a5fba4f7cdacf10c302

Novel Contactless Sensors for Food, Beverage and Packaging Evaluation

Authors: Claudia Gonzalez Viejo Damir D. Torrico Sigfredo Fuentes

Source: Sensors (Basel)
Sensors, Vol 23, Iss 19, p 8082 (2023)

Subject Terms: ANZSRC::300607 Food technology, Chemical technology, Food Packaging, ANZSRC::4009 Electronics, TP1-1185, ANZSRC::300604 Food packaging, preservation and processing, Beverages, n/a, Editorial, Food, Product Packaging, ANZSRC::300602 Food chemistry and food sensory science, Humans, ANZSRC::4008 Electrical engineering, sensors and digital hardware, ANZSRC::4606 Distributed computing and systems software

Access URL: https://pubmed.ncbi.nlm.nih.gov/37836912
https://doaj.org/article/f2e9eabef54e4bfc8f5fc964bde7d752

Digital Integration and Automated Assessment of Eye-Tracking and Emotional Response Data Using the BioSensory App to Maximize Packaging Label Analysis

Authors: Damir D. Torrico Sigfredo Fuentes Claudia Gonzalez Viejo et al.

Source: Sensors (Basel)
Sensors, Vol 21, Iss 22, p 7641 (2021)
Sensors
Volume 21
Issue 22

Subject Terms: Emotions, ANZSRC::520406 Sensory processes, TP1-1185, ANZSRC::300604 Food packaging, preservation and processing, perception and performance, computer vision, Article, sensory analysis, Machine Learning, 0404 agricultural biotechnology, ANZSRC::300602 Food chemistry and food sensory science, sensors and digital hardware, Eye-Tracking Technology, computer application, ANZSRC::4606 Distributed computing and systems software, Chemical technology, ANZSRC::4009 Electronics, 04 agricultural and veterinary sciences, Mobile Applications, eye fixations, Facial Expression, ANZSRC::520401 Cognition, ANZSRC::350602 Consumer-oriented product or service development, areas of interest, ANZSRC::4008 Electrical engineering, 0405 other agricultural sciences

File Description: application/pdf; Electronic

Access URL: https://pubmed.ncbi.nlm.nih.gov/34833713
https://eprints.whiterose.ac.uk/180997/1/sensors-21-07641.pdf
https://doaj.org/article/954d0eae5892471ea1a9ddabed592294
https://findanexpert.unimelb.edu.au/scholarlywork/1614813-digital-integration-and-automated-assessment-of-eye-tracking-and-emotional-response-data-using-the-biosensory-app-to-maximize-packaging-label-analysis
https://pubmed.ncbi.nlm.nih.gov/34833713/
https://www.mdpi.com/1424-8220/21/22/7641/pdf
https://www.mdpi.com/1424-8220/21/22/7641

Influence of Label Design and Country of Origin Information in Wines on Consumers’ Visual, Sensory, and Emotional Responses

Authors: Chang Liu Chetan Sharma Qiqi Xu et al.

Source: Sensors (Basel)
Sensors, Vol 22, Iss 6, p 2158 (2022)
Sensors; Volume 22; Issue 6; Pages: 2158

Subject Terms: Adult, Male, ANZSRC::300601 Beverage chemistry and beverage sensory science, Emotions, provenance, consumers' acceptability, Wine, TP1-1185, Intention, logo, wine labels, eye-tracking, Article, ANZSRC::350601 Consumer behaviour, Young Adult, 0404 agricultural biotechnology, Humans, sensors and digital hardware, ANZSRC::300805 Oenology and viticulture, ANZSRC::4606 Distributed computing and systems software, Chemical technology, ANZSRC::4009 Electronics, 04 agricultural and veterinary sciences, Consumer Behavior, Middle Aged, 16. Peace & justice, Taste, Female, ANZSRC::4008 Electrical engineering, 0405 other agricultural sciences

File Description: application/pdf; Electronic

Access URL: https://pubmed.ncbi.nlm.nih.gov/35336334
https://doaj.org/article/344b8599003d4e5faaa49a86ebe52d10

Effects of 'the Selected Smartphone Social-Messaging Applications' Training on Iranian Elderly’s Quality of Life: Results of a Qualitative Study

Authors: Hosseini, Seyed Ebrahim Charters, Stuart Anthony, Patricia et al.

Source: International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 07 (2021); pp. 154-175

Subject Terms: Quality of life, ANZSRC::460804 Computing education, semi-experimental qualitative method, smartphone, social applications, ANZSRC::441007 Sociology and social studies of science and technology, ANZSRC::460102 Applications in health, 3. Good health, Iranian elderly, 03 medical and health sciences, 0302 clinical medicine, quality of life, Semi-experimental qualitative method, Social applications, ANZSRC::4601 Applied computing, Smartphone, ANZSRC::460806 Human-computer interaction, ANZSRC::460910 Information systems user experience design and development, ANZSRC::461002 Human information behaviour, ANZSRC::4606 Distributed computing and systems software

File Description: application/pdf

Access URL: https://online-journals.org/index.php/i-jim/article/download/19475/9071
https://online-journals.org/index.php/i-jim/article/view/19475
https://igi.indrastra.com/items/show/1888
https://www.online-journals.org/index.php/i-jim/article/view/19475/9071
https://online-journals.org/index.php/i-jim/article/viewFile/19475/9071
https://dblp.uni-trier.de/db/journals/ijim/ijim15.html#HosseiniCAA21
https://researcharchive.lincoln.ac.nz/handle/10182/13807

Classification of Smoke Contaminated Cabernet Sauvignon Berries and Leaves Based on Chemical Fingerprinting and Machine Learning Algorithms

Authors: Vasiliki Summerson Claudia Gonzalez Viejo Colleen Szeto et al.

Source: Sensors (Basel)
Sensors, Vol 20, Iss 18, p 5099 (2020)
Sensors
Volume 20
Issue 18

Subject Terms: Smoke taint, near-infrared spectroscopy, ANZSRC::0908 Food Sciences, Chemical technology, ANZSRC::4009 Electronics, smoke taint, TP1-1185, 04 agricultural and veterinary sciences, 15. Life on land, Article, remote sensing, climate change, 0404 agricultural biotechnology, volatile phenols, 13. Climate action, ANZSRC::4008 Electrical engineering, sensors and digital hardware, ANZSRC::090806 Wine Chemistry and Wine Sensory Science, ANZSRC::4606 Distributed computing and systems software

File Description: application/pdf; Electronic

Access URL: https://pubmed.ncbi.nlm.nih.gov/32906800
https://doaj.org/article/ed967f44d0934627a702c83e379270a8
https://dblp.uni-trier.de/db/journals/sensors/sensors20.html#SummersonVSWTPB20
https://www.mdpi.com/1424-8220/20/18/5099/pdf
https://minerva-access.unimelb.edu.au/bitstream/handle/11343/251554/PMC7571113.pdf
https://doi.org/10.3390/s20185099
https://www.mdpi.com/1424-8220/20/18/5099
https://findanexpert.unimelb.edu.au/scholarlywork/1464308-classification-of-smoke-contaminated-cabernet-sauvignon-berries-and-leaves-based-on-chemical-fingerprinting-and-machine-learning-algorithms

Machine Learning Modeling of Wine Sensory Profiles and Color of Vertical Vintages of Pinot Noir Based on Chemical Fingerprinting, Weather and Management Data

Authors: Sigfredo Fuentes Damir D. Torrico Eden Tongson et al.

Source: Sensors (Basel)
Sensors, Vol 20, Iss 13, p 3618 (2020)
Sensors
Volume 20
Issue 13

Subject Terms: ANZSRC::0908 Food Sciences, Chemical technology, ANZSRC::4009 Electronics, TP1-1185, 04 agricultural and veterinary sciences, artificial intelligence, Article, chemical fingerprinting, water balance, 0404 agricultural biotechnology, wine colour, sensory profile, ANZSRC::4008 Electrical engineering, sensors and digital hardware, wine color, ANZSRC::090806 Wine Chemistry and Wine Sensory Science, ANZSRC::4606 Distributed computing and systems software

File Description: application/pdf; Electronic

Access URL: https://www.mdpi.com/1424-8220/20/13/3618/pdf
https://pubmed.ncbi.nlm.nih.gov/32605057
https://doaj.org/article/4ca3de7ced064a40a2d20525db067dda
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374325
https://findanexpert.unimelb.edu.au/scholarlywork/1455457-machine-learning-modeling-of-wine-sensory-profiles-and-color-of-vertical-vintages-of-pinot-noir-based-on-chemical-fingerprinting--weather-and-management-data
https://www.mdpi.com/1424-8220/20/13/3618/pdf
https://doi.org/10.3390/s20133618
https://researcharchive.lincoln.ac.nz/handle/10182/12203
https://minerva-access.unimelb.edu.au/handle/11343/244923

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

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

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

Subject Terms: 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

File Description: application/pdf; Electronic

Access 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

Development of a Biosensory Computer Application to Assess Physiological and Emotional Responses from Sensory Panelists

Authors: Sigfredo Fuentes Claudia Gonzalez Viejo Damir D. Torrico et al.

Source: Sensors (Basel)
Sensors, Vol 18, Iss 9, p 2958 (2018)
Sensors
Volume 18
Issue 9

Subject Terms: Biometry, Monitoring, sensory evaluation, Emotions, Video Recording, Blood Pressure, TP1-1185, Autonomic Nervous System, Article, Machine Learning, 0404 agricultural biotechnology, Heart Rate, Photography, Humans, Physiologic, sensors and digital hardware, ANZSRC::4606 Distributed computing and systems software, Monitoring, Physiologic, Principal Component Analysis, integrated camera system, Chemical technology, autonomic nervous system, nonintrusive biometrics, ANZSRC::4009 Electronics, computer vision algorithms, 04 agricultural and veterinary sciences, Cloud Computing, Facial Expression, Self Report, ANZSRC::4008 Electrical engineering, Skin Temperature, 0405 other agricultural sciences

File Description: application/pdf; Electronic

Access URL: https://www.mdpi.com/1424-8220/18/9/2958/pdf
https://pubmed.ncbi.nlm.nih.gov/30189663
https://doaj.org/article/81fcdd9224934ed39a37191d7b02d44c
https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#FuentesVTD18
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164119/
https://minerva-access.unimelb.edu.au/handle/11343/248263
https://doi.org/10.3390/s18092958
https://findanexpert.unimelb.edu.au/scholarlywork/1347893-development-of-a-biosensory-computer-application-to-assess-physiological-and-emotional-responses-from-sensory-panelists
https://pubmed.ncbi.nlm.nih.gov/30189663/

Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study for Chocolate

Authors: Claudia Gonzalez Viejo Sigfredo Fuentes Damir D. Torrico et al.

Source: Sensors (Basel)
Sensors, Vol 18, Iss 6, p 1802 (2018)
Sensors
Volume 18
Issue 6

Subject Terms: ANZSRC::11 Medical and Health Sciences, Male, Monitoring, ANZSRC::0908 Food Sciences, Video Recording, TP1-1185, 02 engineering and technology, computer vision, Article, Machine Learning, Computer-Assisted, non-intrusive sensors, Heart Rate, heart rate, 0202 electrical engineering, electronic engineering, information engineering, Humans, Chocolate, Physiologic, sensors and digital hardware, Photoplethysmography, ANZSRC::4606 Distributed computing and systems software, Monitoring, Physiologic, 2. Zero hunger, Chemical technology, ANZSRC::4009 Electronics, blood pressure, Blood Pressure Determination, Signal Processing, Computer-Assisted, Face, Signal Processing, Female, ANZSRC::4008 Electrical engineering, Food Hypersensitivity, machine learning modelling

File Description: application/pdf; Electronic

Access URL: https://res.mdpi.com/d_attachment/sensors/sensors-18-01802/article_deploy/sensors-18-01802-v2.pdf
https://pubmed.ncbi.nlm.nih.gov/29865289
https://doaj.org/article/e05452f743ae4fa698eb71335dd688af
https://doaj.org/article/e05452f743ae4fa698eb71335dd688af
https://minerva-access.unimelb.edu.au/bitstream/handle/11343/255272/PMC6022164.pdf
https://www.mdpi.com/1424-8220/18/6/1802/pdf
http://doi.org/10.3390/s18061802
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022164
https://researcharchive.lincoln.ac.nz/handle/10182/11586

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks

Authors: Nima Teimouri Mads Dyrmann Per Rydahl Nielsen et al.

Source: Sensors (Basel)
Sensors, Vol 18, Iss 5, p 1580 (2018)
Sensors; Volume 18; Issue 5; Pages: 1580
Teimouri, N, Dyrmann, M, Nielsen, P R, Mathiassen, S K, Somerville, G J & Jørgensen, R N 2018, 'Weed Growth Stage Estimator Using Deep Convolutional Neural Networks', Sensors, vol. 18, no. 5, 1580. https://doi.org/10.3390/s18051580

Subject Terms: Neural Networks, Image Processing, convolutional neural network, TP1-1185, 02 engineering and technology, Poaceae, computer vision, Article, Computer, Computer-Assisted, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, growth stage, leaf counting, deep learning, sensors and digital hardware, ANZSRC::4606 Distributed computing and systems software, Chemical technology, ANZSRC::4009 Electronics, 04 agricultural and veterinary sciences, 15. Life on land, Plant Leaves, 0401 agriculture, forestry, and fisheries, Neural Networks, Computer, Polygonum, ANZSRC::4008 Electrical engineering

File Description: application/pdf; Electronic

Access URL: https://www.mdpi.com/1424-8220/18/5/1580/pdf
https://pubmed.ncbi.nlm.nih.gov/29772666
https://doaj.org/article/a350c3e1ed404411a22b53657048cba9
http://europepmc.org/articles/PMC5981438
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981438
https://doi.org/10.3390/s18051580
https://dblp.uni-trier.de/db/journals/sensors/sensors18.html#TeimouriDNMSJ18
https://www.mdpi.com/1424-8220/18/5/1580/pdf
https://www.mdpi.com/1424-8220/18/5/1580
https://pure.au.dk/ws/files/128337396/sensors_18_01580_v2.pdf
https://pure.au.dk/ws/files/128337396/sensors_18_01580_v2.pdf
https://doi.org/10.3390/s18051580
https://pure.au.dk/portal/en/publications/6778ad94-e400-4939-aeca-4da4312f7604

Effects of smartphone social applications on elderly people’s quality of life

Authors: Hosseini, Seyed Ebrahim Charters, Stuart Anthony, Patricia

Subject Terms: Iranian elderly, quality of life, smartphone, social applications, CASP-19, ANZSRC::4601 Applied computing, ANZSRC::4606 Distributed computing and systems software

File Description: pp.137-152

Relation: The original publication is available from International Association of Online Engineering (IAOE) - https://doi.org/10.3991/ijim.v17i02.35457 - https://doi.org/10.3991/ijim.v17i02.35457; International Journal of Interactive Mobile Technologies; https://doi.org/10.3991/ijim.v17i02.35457; https://hdl.handle.net/10182/19554

Availability: https://hdl.handle.net/10182/19554
https://doi.org/10.3991/ijim.v17i02.35457

Probing biological nitrogen fixation in legumes using Raman spectroscopy

Authors: Jafari, A Seth, K Werner, A et al.

Subject Terms: biosystems, chemometrics, non-destructive, pattern recognition, precision agriculture, rhizobia, symbiosis, Fabaceae, Nitrogen, Spectrum Analysis, Raman, Least-Squares Analysis, Nitrogen Fixation, Glycine max, ANZSRC::300210 Sustainable agricultural development, ANZSRC::460907 Information systems for sustainable development and the public good, ANZSRC::410603 Soil biology, ANZSRC::300805 Oenology and viticulture, ANZSRC::4008 Electrical engineering, ANZSRC::4009 Electronics, sensors and digital hardware, ANZSRC::4606 Distributed computing and systems software

Subject Geographic: Switzerland

File Description: 14 pages; Electronic

Relation: The original publication is available from MDPI - https://doi.org/10.3390/s24154944 - https://doi.org/10.3390/s24154944; Sensors; https://doi.org/10.3390/s24154944; s24154944; https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:001287117600001&DestLinkType=FullRecord&DestApp=WOS_CPL; 39123990 (pubmed); https://hdl.handle.net/10182/17845

Availability: https://hdl.handle.net/10182/17845
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:001287117600001&DestLinkType=FullRecord&DestApp=WOS_CPL
https://doi.org/10.3390/s24154944

Does globalization impact dividend policy and payout rate?

Authors: Banchit, A Abidin, Sazali Wu, L

Subject Terms: dividend, payout, volatility, globalization, ANZSRC::14 Economics, ANZSRC::200206 Globalisation and Culture, ANZSRC::4606 Distributed computing and systems software

File Description: pp.471-478

Relation: The original publication is available from Science and Engineering Research Support Society - http://sersc.org/journals/index.php/IJAST/article/view/907; International Journal of Advanced Science and Technology; https://hdl.handle.net/10182/11717

Availability: https://hdl.handle.net/10182/11717