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3981
Pre-service mathematics teachers' modelling processes within model eliciting activity through digital technologies
Published 2025-06-01“…This study examines the modelling approaches of high school pre-service mathematics teachers (PSTs) and the types and purposes of digital technologies they use at different stages of the mathematical modelling process. Conducted during the 2018–2019 academic year, the study involved 26 PSTs working in eight groups as part of a course on computer technologies in mathematics education. …”
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3982
Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction.
Published 2016-01-01“…We review how this unsupervised learning technique generates plausible dyadic sequences that are sensitive to relationship quality and provide a natural mechanism for computational models of behavioral and affective micro-social processes.…”
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3983
A generative model-based coevolutionary training framework for noise-tolerant softsensors in wastewater treatment processes
Published 2025-03-01“…Abstract Data-driven softsensors have gained widespread application in process monitoring and quality prediction, offering advantages over traditional measurement techniques by mitigating their limitations and costs. …”
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3984
Optimising the Grinding Wheel Design for Flute Grinding Processes Utilising Numerical Analysis of the Complex Contact Conditions
Published 2020-09-01“…Based on that, a simulation tool was implemented to analyse the complex contact conditions during flute grinding depending on the process parameters and tool/workpiece geometry. The influence of different grinding parameters on the effective contact length, the specific material removal rate and the equivalent chip thickness was evaluated by employing the computer-based model. …”
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3985
Modeling and nonlinear analysis of chaotic wave processes in electrochemically active neuronal media based on matrix decomposition
Published 2020-09-01“…The necessary conditions for self-organization of chaotic self-oscillations in the FitzHugh – Nagumo model are determined. Computer modeling based on the matrix decomposition of chaotic wave processes in electrochemically active neuronal media has shown the interaction of higher-order nonlinear processes leading to stabilization (to a finite value) of the amplitude of the chaotic wave process. …”
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3986
PALEOGEODYNAMICS OF MAGMATIC AND METAMORPHIC PROCESSES OF FORMATION OF ULTRAMAFIC ROCKS OF CHAGAN-UZUN MASSIF (OPHIOLITES OF GORNY ALTAI)
Published 2021-12-01“…In general, results of comprehensive studies made it possible to determine the sequence of paleogeodynamic processes of formation of ultramafic rocks of the Chagan-Uzun massif. …”
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3987
Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction
Published 2025-12-01“…This study proposes a novel probabilistic model called the matrix-variate Gaussian process (GP) with structured kernels while focusing on the periodicity. …”
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3988
Information-Theoretic Sequential Framework to Elicit Dynamic High-Order Interactions in High-Dimensional Network Processes
Published 2025-06-01“…Complex networks of stochastic processes are crucial for modeling the dynamics of interacting systems, particularly those involving high-order interactions (HOIs) among three or more components. …”
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3989
A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes
Published 2025-01-01“…This study presents a novel dynamic machine learning based explainable fusion approach to address the issues of process monitoring in industrial and chemical process systems. …”
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3990
Dopaminergic modulation and dosage effects on brain state dynamics and working memory component processes in Parkinson’s disease
Published 2025-03-01“…We employ a Bayesian state-space computational model to delineate brain state dynamics related to different task phases. …”
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3991
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3992
Informative Path Planning Using Physics-Informed Gaussian Processes for Aerial Mapping of 5G Networks
Published 2024-11-01“…In this article, we propose the leveraging of unmanned aerial vehicles (UAVs) and Gaussian processes (GPs) to reduce the complexity of this task. …”
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3993
Constrained reduced-order modeling using bounded Gaussian processes for physically consistent reacting flow predictions
Published 2025-09-01“…These surrogate models are built in a data-driven manner by combining computational fluid dynamics simulations with Proper Orthogonal Decomposition (POD) for dimensionality reduction and Gaussian Process Regression (GPR) for nonlinear regression. …”
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3994
Multi-sensor monitoring for optimising printing parameters of laser powder bed fusion (L-PBF) processes
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3995
Modeling of spatial extremes in environmental data science: time to move away from max-stable processes
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3996
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3997
Rapid fault cause identification in surface mount technology processes based on factory-wide data analysis
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3998
Cancers and Benign Processes on 68Ga PSMA PET-CT Imaging Other than Prostate Cancer
Published 2022-06-01“…The aim of this study was to report 68Ga PSMA PET-CT in other cancers and benign processes incidentally detected on 68Ga PSMA PET-CT in patients with prostate cancer. …”
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3999
Information Technologies for Development of Specific Regions of Poland in Assessment of the Analytic Hierarchy Process Method
Published 2015-10-01“…The state and the dynamics of the process of information technologies, in relation with the digitization, mobility and cloud computing processing trends in the areas of public administration and economics as well as functioning of individual households show vast diversification in those areas. …”
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4000
Service aware base station processing resource allocation for centralized radio access network
Published 2018-08-01“…Current research on resource allocation algorithmsmainly focuses on data centers,and cloud computing environments.These resource allocation algorithms did not consideRthe diversity of processing resources(CPU,memory,network bandwidth,FPGA,DSP)and the diversity of service types in the centralized base station,resulting in the low processing resource utilization.In ordeRto solve this problem,a service oriented base station processing resource allocation algorithm was proposed.Firstly,the Fisher partitionmethod was used to classify the base station’s processing resource requirements according to the user’s service request.Then,the resource allocation balancing strategy was used to allocate the base station processing resources.Experimental results show that the algorithm is effective to reduce the number of physi cal servers and improves the resource utilization of the servers,realizing energy conservation and communications.…”
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