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TITLE: B Corp versus ISO 9001 and 14001 certifications: Aligned, or alternative paths, towards sustainable development?  Full Text
AUTHORS: Fonseca, L; Silva, V; José Carlos Sá; Lima, V ; Santos, G; Silva, R ;
PUBLISHED: 2022, SOURCE: CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT, VOLUME: 29, ISSUE: 3
INDEXED IN: Scopus WOS CrossRef: 34
IN MY: ORCID
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TITLE: Earth Observation Satellite Imagery Information Based Decision Support Using Machine Learning  Full Text
AUTHORS: Ferreira, Bruno; Silva, Rui G. ; Iten, Muriel;
PUBLISHED: 2022, SOURCE: REMOTE SENSING, VOLUME: 14, ISSUE: 15
INDEXED IN: Scopus WOS CrossRef: 4
IN MY: ORCID
4
TITLE: Framework for the Development of a Digital Twin for Solar Water Heating Systems
AUTHORS: Rui Gabriel Silva ; António Araújo ;
PUBLISHED: 2022, SOURCE: 2022 International Conference on Control, Automation and Diagnosis, ICCAD 2022
INDEXED IN: Scopus CrossRef: 1 Unpaywall
IN MY: ORCID
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TITLE: Optimization of Collector Area and Storage Volume in Domestic Solar Water Heating Systems with On-Off Control—A Thermal Energy Approach
AUTHORS: António Araújo; Ana C. Ferreira; Carlos Oliveira; Rui Silva ; Vítor Pereira;
PUBLISHED: 2022, SOURCE: SSRN Electronic Journal
INDEXED IN: CrossRef Unpaywall
IN MY: ORCID
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TITLE: A review of optimization techniques for supplier selection and order allocation
AUTHORS: Ferreira, BAS; Silva, RG ;
PUBLISHED: 2021, SOURCE: Competitive Drivers for Improving Future Business Performance
INDEXED IN: Scopus CrossRef
IN MY: ORCID
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TITLE: The Deterministic Nature of Sensor-Based Information for Condition Monitoring of the Cutting Process
AUTHORS: Silva, R ; Araujo, A ;
PUBLISHED: 2021, SOURCE: MACHINES, VOLUME: 9, ISSUE: 11
INDEXED IN: Scopus WOS CrossRef: 1
IN MY: ORCID
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TITLE: A Novel Approach to Condition Monitoring of the Cutting Process Using Recurrent Neural Networks  Full Text
AUTHORS: Rui Silva ; Antonio Araujo ;
PUBLISHED: 2020, SOURCE: SENSORS, VOLUME: 20, ISSUE: 16
INDEXED IN: Scopus WOS CrossRef: 11
IN MY: ORCID
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TITLE: Monitoring sustainable development by means of earth observation data and machine learning: a review  Full Text
AUTHORS: Bruno Ferreira; Muriel Iten; Rui G Silva ;
PUBLISHED: 2020, SOURCE: ENVIRONMENTAL SCIENCES EUROPE, VOLUME: 32, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 30
IN MY: ORCID
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