Analytical Solution of the Advection Diffusion Equation Taking Power Law and Linearity of Eddy Diffusivity Using Hankel Transform
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DOI: 10.1002/tqem.70185
Abstract: An analytical solution to the advection‐diffusion equation using the Hankel transform and variable separation technique is presented in this work. Taking into account the height “h” of the planetary boundary layer, it is divided into… read more here.
Keywords: eddy diffusivity; observed data; solution advection; analytical solution ... See more keywords
Identification and analysis of recent temporal temperature trends for Dehradun, Uttarakhand, India
Sign Up to like & getrecommendations! Published in 2018 at "Meteorology and Atmospheric Physics"
DOI: 10.1007/s00703-018-0608-3
Abstract: Maximum and minimum temperatures (Tmax and Tmin) are indicators of changes in climate. In this study, observed and gridded Tmax and Tmin data of Dehradun are analyzed for the period 1901–2014. Observed data obtained from… read more here.
Keywords: cru data; temperature; observed data; change points ... See more keywords
Comparing eyewitness-derived trajectories of bright meteors to instrumentally-observed data.
Sign Up to like & getrecommendations! Published in 2017 at "Planetary and space science"
DOI: 10.1016/j.pss.2017.02.016
Abstract: The NASA Meteoroid Environment Office (MEO) is often called upon to analyze meteors of public interest observed over the United States. Data from meteor networks are often utilized to accomplish this, as are recordings from… read more here.
Keywords: trajectories bright; observed data; tool; bright meteors ... See more keywords
Observed Data-Based Model Construction of Finite State Machines Using Exponential Representation of LMs
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DOI: 10.1109/tcsii.2021.3087189
Abstract: The problem of model construction of finite state machines (FSMs) from observed data is addressed by borrowing the methods and ideas of system identification in control theory. The construction contains three steps. Firstly, the dynamic… read more here.
Keywords: observed data; finite state; model construction; construction ... See more keywords
Dual-Conditional Diffusion Model for Seismic Data Reconstruction: Integrating Observed Data and Sampling Matrix Constraints
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DOI: 10.1109/tgrs.2025.3603101
Abstract: Seismic exploration relies heavily on high-quality data acquisition, but practical limitations often result in incomplete seismic data, violating the Nyquist sampling theorem and introducing aliasing. The completeness and accuracy of data directly influence the effectiveness… read more here.
Keywords: observed data; data sampling; reconstruction; dual conditional ... See more keywords
Temperature fluctuations along food supply chain: A dynamic and stochastic predictive approach to establish the best temperature value in challenge tests for Listeria monocytogenes
Sign Up to like & getrecommendations! Published in 2022 at "Italian Journal of Food Safety"
DOI: 10.4081/ijfs.2022.9981
Abstract: This study aims to evaluate the behaviour of Listeria monocytogenes under fluctuating temperature comparing the efficacy of deterministic and stochastic methods for its prediction. In the first part of the study, a strain of L.… read more here.
Keywords: observed data; mean temperature; temperature; listeria monocytogenes ... See more keywords