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Assessment of spatial interpolation techniques for drought severity analysis in Salt Lake Basin [PDF]

open access: yesDesert, 2021
Drought risk management requires drought monitoring which is usually carried out by applying different drought indices which are, effectively, continuous functions of precipitation and other meteorological data.
Amir R. Keshtkar, N. Moazami, A. Afzali
doaj   +1 more source

PIN POWER CALCULATION SCHEME FOR REACTOR PRESSURE VESSEL FAST NEUTRON FLUENCE ESTIMATION [PDF]

open access: yesEPJ Web of Conferences, 2021
The estimation of the neutron fluence at the Reactor Pressure Vessel (RPV) is classically carried out by a two-step approach. The first step is to estimate the full core neutron source term whether the second step of the calculation consists in the ...
Brovchenko Mariya, Taforeau Julien
doaj   +1 more source

The Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture

open access: yesRemote Sensing, 2022
The precision fertilization system is the basis for upgrading conventional intensive agricultural production, while achieving both high and quality yields and minimizing the negative impacts on the environment.
Dorijan Radočaj   +2 more
doaj   +1 more source

A Comparison of the Performance of Different Interpolation Methods in Replicating Rainfall Magnitudes under Different Climatic Conditions in Chongqing Province (China)

open access: yesAtmosphere, 2021
Precipitation is considered a crucial component in the hydrological cycle and changes in its spatial pattern directly influence the water resources.
Ruting Yang, Bing Xing
doaj   +1 more source

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

open access: yesGeotechnics, 2022
The use of optimization methods in geotechnics dates back to the 1950s. They were used in slope stability analysis (Bishop) and evolved to a wide range of applications in ground engineering.
Djamalddine Boumezerane
doaj   +1 more source

Methods for Simplifying Quasi-Deterministic Millimeter-Wave Channel Models

open access: yesIEEE Access, 2023
It is crucial to have a dependable and precise channel model in order to study the properties of millimeter wave (mmWave) propagation. The Quasi-deterministic (QD) channel model is employed in this viewpoint, which describes the propagation of mm-Wave as
Radwa A. Roshdy   +5 more
doaj   +1 more source

Multistart method with deterministic restart mechanism [PDF]

open access: yesVestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2020
This work was financially supported by the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan (grant no. AP05133366).
Gulshat A. Amirkhanova   +3 more
openaire   +1 more source

Matrix Completion with Deterministic Sampling: Theories and Methods [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
In some significant applications such as data forecasting, the locations of missing entries cannot obey any non-degenerate distributions, questioning the validity of the prevalent assumption that the missing data is randomly chosen according to some probabilistic model.
Guangcan Liu   +3 more
openaire   +3 more sources

Deterministic Approximate Methods for Maximum Consensus Robust Fitting [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Maximum consensus estimation plays a critically important role in robust fitting problems in computer vision. Currently, the most prevalent algorithms for consensus maximization draw from the class of randomized hypothesize-and-verify algorithms, which are cheap but can usually deliver only rough approximate solutions.
Huu Le   +4 more
openaire   +4 more sources

Combined Deterministic and Stochastic System Identification and Realization: DSR - A Subspace Approach Based on Observations [PDF]

open access: yesModeling, Identification and Control, 1996
A numerically stable and general algorithm for identification and realization of a complete dynamic linear state space model, including the system order, for combined deterministic and stochastic systems from time series is presented.
David Di Ruscio
doaj   +1 more source

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