Results 271 to 280 of about 27,651,836 (340)
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2025 International Conference on Computational Innovations and Sustainable Technologies (ICCIST)
Pauli decomposition is employed as a fundamental tool for visualizing and analyzing PolSAR data. The research paper aims for hardware implementation of image processing algorithm for radar polarimetry Pauli decomposition method.
P. Dias, R. Banakar
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Pauli decomposition is employed as a fundamental tool for visualizing and analyzing PolSAR data. The research paper aims for hardware implementation of image processing algorithm for radar polarimetry Pauli decomposition method.
P. Dias, R. Banakar
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Science of the Total Environment, 2019
To address the unprecedented increase in China's CO2 emissions over the past decades, the Chinese government has implemented many policies that are aimed at reducing carbon intensity. Applying the LMDI method, this study conducts a decomposition analysis
Chi Zhang +3 more
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To address the unprecedented increase in China's CO2 emissions over the past decades, the Chinese government has implemented many policies that are aimed at reducing carbon intensity. Applying the LMDI method, this study conducts a decomposition analysis
Chi Zhang +3 more
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Structural path and decomposition analysis of aggregate embodied energy and emission intensities
Energy Economics, 2019Aggregate energy and emission intensities have respectively been widely used to measure the overall performance of energy consumption and environmental pollution from the production perspective.
B. Su, B. Ang, Yingzhu Li
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Journal of Environmental Management, 2019
Effectively treating industrial SO2 emissions depends on the synergy of different factors from the industrial SO2 generation source to the end of treatment.
Ye Hang +4 more
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Effectively treating industrial SO2 emissions depends on the synergy of different factors from the industrial SO2 generation source to the end of treatment.
Ye Hang +4 more
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InSAR Coherence-Decomposition Analysis
IEEE Geoscience and Remote Sensing Letters, 2010The phase coherence in synthetic aperture radar interferometry is often used in classification algorithms to detect possible temporal changes of the imaged terrain. However, in mountain areas, the interferometric coherence is also sensitive to the slight variations of the acquisition geometry.
Teng Wang +2 more
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Journal of Cleaner Production, 2019
Currently, over 20% of global electricity and 30% of global CO2 emissions from fuel combustion are generated in China. Understanding the driving forces of CO2 emissions from power generation is critical for both decarbonizing the power sector and ...
Saige Wang +5 more
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Currently, over 20% of global electricity and 30% of global CO2 emissions from fuel combustion are generated in China. Understanding the driving forces of CO2 emissions from power generation is critical for both decarbonizing the power sector and ...
Saige Wang +5 more
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European Journal of Operational Research, 2019
Abating CO2 emissions from the electricity sector in China has received increasing attention in the past years. Assessing the drivers behind CO2 emissions is fundamental to identifying cost-effective policy measures to reduce emissions.
Hui Wang +3 more
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Abating CO2 emissions from the electricity sector in China has received increasing attention in the past years. Assessing the drivers behind CO2 emissions is fundamental to identifying cost-effective policy measures to reduce emissions.
Hui Wang +3 more
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Index decomposition analysis for comparing emission scenarios: Applications and challenges
Energy Economics, 2019As global action on climate change gathers momentum, an area of interest is what the world's greenhouse gas emission trajectory will be in the future and whether it can meet the emission targets set forth.
B. Ang, Tian Goh
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Autonomous behaviours decomposition and modal analysis
International Journal of Control, 2001In this paper, the notions of simple, very simple and indecomposable autonomous behaviour are introduced and characterized. By resorting to some recent results about the direct sum decomposition of (linear, time-invariant, differential) behaviours (Bisiacco and Valcher 2001), as well as to the well-known primary decomposition theorem for finitely ...
BISIACCO, MAURO, VALCHER, MARIA ELENA
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Sparse Decompositions for Exploratory Pattern Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987We define and verify the utility of a pattern analysis procedure called sparse decomposition. This technique involves sequentially ``peeling'' sparse subsets of patterns from a pattern set, where sparse subsets are sets of patterns which possess a certain degree of regularity or compactness as measured by a compactness measure c.
R L, Hoffman, A K, Jain
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