Eigen-entropy based time series signatures to support multivariate time series classification [PDF]
Scientific ReportsMost current algorithms for multivariate time series classification tend to overlook the correlations between time series of different variables. In this research, we propose a framework that leverages Eigen-entropy along with a cumulative moving window ...
Abhidnya Patharkar +6 more
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Beyond Information Distortion: Imaging Variable-Length Time Series Data for Classification [PDF]
SensorsTime series data are prevalent in diverse fields such as manufacturing and sensor-based human activity recognition. In real-world applications, these data are often collected with variable sample lengths, which can pose challenges for classification ...
Hyeonsu Lee, Dongmin Shin
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Trend analyses of regional time series of temperatures and rainfall of the Tapi basin
Journal of Agrometeorology, 2020 Climate change information at the scale of basin is vital for planning, development and use of water. The Tapi basin is climatically responsive. Hydrological response of a basin is based mainly on rainfall and temperature.
GANESH D. KALE
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Trend analysis of the airborne fraction and sink rate of anthropogenically released CO2 [PDF]
Biogeosciences, 2019 Is the fraction of anthropogenically released CO2 that remains in the atmosphere (the airborne fraction) increasing? Is the rate at which the ocean and land sinks take up CO2 from the atmosphere decreasing?
M. Bennedsen +5 more
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The Role of Low Temperature Waste Heat Recovery in Achieving 2050 Goals: A Policy Positioning Paper
Energies, 2020 Urban waste heat recovery, in which low temperature heat from urban sources is recovered for use in a district heat network, has a great deal of potential in helping to achieve 2050 climate goals.
Edward Wheatcroft +4 more
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Challenges of integrated variance estimation in emerging stock markets [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 Estimating integrated variance, using high frequency data, requires modelling experience and data crunching skills. Although intraday returns have attracted much attention in recent years, handling these data is challenging because of their ...
Josip Arnerić, Mario Matković
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Low Density Neutron Star Matter with Quantum Molecular Dynamics: The Role of Isovector Interactions
Universe, 2022 The effect of isospin-dependent nuclear forces on the inner crust of neutron stars is modeled within the framework of Quantum Molecular Dynamics (QMD).
Parit Mehta +4 more
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Investor sentiment and foreign financial flows: Evidence from South Africa [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 Foreign financial flows to emerging markets have increasingly become important following the opening of financial markets globally. These financial flows are a function of a country’s fundamentals related to future productivity.
Hilary Tinotenda Muguto +2 more
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Contracts, Business Models and Barriers to Investing in Low Temperature District Heating Projects
Applied Sciences, 2019 Approximately 1.2 EJ of energy are potentially available for recovery each year from urban heat sources in the EU. This corresponds to more than 10 percent of the EU’s total energy demand for heat and hot water.
Kristina Lygnerud +2 more
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EVALUATING THE IMPACT OF DATA.GOV.RO ON THE ACADEMIC RESEARCH [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2022 In the context of the digital revolution, data is the most valuable resource which gains in value the more it is used. Freely available open source data and institutional data repositories encourage and connect, both academia and industry.
MIRICĂ ANDREEA, PETCU IONELA-ROXANA
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