Works matching IS 10881980 AND DT 2022 AND VI 26 AND IP 1
Results: 27
Data innovation in industrial ecology.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 6, doi. 10.1111/jiec.13256
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JIE 2021 reviewers.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 364, doi. 10.1111/jiec.13249
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- Article
Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 27, doi. 10.1111/jiec.13245
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Machine learning‐based stocks and flows modeling of road infrastructure.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 44, doi. 10.1111/jiec.13232
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A data framework for assessing social inequality and equity in multi‐sector social, ecological, infrastructural urban systems: Focus on fine‐spatial scales.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 145, doi. 10.1111/jiec.13222
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Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 164, doi. 10.1111/jiec.13214
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PIOT‐Hub ‐ A collaborative cloud tool for generation of physical input–output tables using mechanistic engineering models.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 107, doi. 10.1111/jiec.13204
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A scalable data collection, characterization, and accounting framework for urban material stocks.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 58, doi. 10.1111/jiec.13198
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Estimation of entity‐level land use and its application in urban sectoral land use footprint: A bottom‐up model with emerging geospatial data.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 309, doi. 10.1111/jiec.13191
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Exploring machine learning techniques to predict deforestation to enhance the decision‐making of road construction projects.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 225, doi. 10.1111/jiec.13185
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Semisupervised machine learning classification framework for material intensity parameters of residential buildings.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 72, doi. 10.1111/jiec.13174
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Dynamic exergy analysis: From industrial data to exergy flows.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 12, doi. 10.1111/jiec.13168
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Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 281, doi. 10.1111/jiec.13165
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This city is not a bin: Crowdmapping the distribution of urban litter.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 197, doi. 10.1111/jiec.13164
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Increasing the energy efficiency of a data center based on machine learning.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 323, doi. 10.1111/jiec.13155
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Comparing the environmental performance of distributed versus centralized plastic recycling systems: Applying hybrid simulation modeling to life cycle assessment.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 252, doi. 10.1111/jiec.13151
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Material intensity database for the Dutch building stock: Towards Big Data in material stock analysis.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 272, doi. 10.1111/jiec.13143
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Correcting remaining truncations in hybrid life cycle assessment database compilation.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 121, doi. 10.1111/jiec.13132
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Appending material flows to the National Energy Modeling System (NEMS) for projecting the physical economy of the United States.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 294, doi. 10.1111/jiec.13053
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A field experiment on workplace norms and electric vehicle charging etiquette.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 183, doi. 10.1111/jiec.13116
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Futura: A new tool for transparent and shareable scenario analysis in prospective life cycle assessment.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 134, doi. 10.1111/jiec.13115
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Toward the development of subnational hybrid input–output tables in a multiregional framework.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 88, doi. 10.1111/jiec.13085
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Potentials of big data for corporate environmental management: A case study from the German automotive industry.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 336, doi. 10.1111/jiec.13062
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A comparison study of bottom‐up and top‐down methods for analyzing the physical composition of municipal solid waste.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 240, doi. 10.1111/jiec.13128
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Issue Information, Cover, and Table of Contents.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 1, doi. 10.1111/jiec.13029
- Publication type:
- Article
Corporate carbon performance data: Quo vadis?
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 350, doi. 10.1111/jiec.13008
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A mass balance approach to urban water analysis using multi‐resolution data.
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- Journal of Industrial Ecology, 2022, v. 26, n. 1, p. 213, doi. 10.1111/jiec.12995
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