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41
Modelling to Engineering Data Using a New Class of Continuous Models
Published 2021-01-01“…In this paper, a new flexible generator of continuous lifespan models referred to as the Topp-Leone Weibull G (TLWG) family is developed and studied. …”
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42
Malicious code within model detection method based on model similarity
Published 2023-08-01Subjects: Get full text
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43
Numerical modelling of ductile damage mechanics coupled with an unconventional plasticity model
Published 2016-10-01“…In this paper, we combine the approach proposed by Lemaitre with the features of an unconventional plasticity model, the extended subloading surface model, to predict material fatigue even for loading conditions below the yield stress.…”
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44
Stochastic Modeling of Surface Viscoelastic Treatments Combined with Model Condensation Procedures
Published 2010-01-01Get full text
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45
Dynamic Modeling of Macroeconomics: Endogen Models of N. Kaldor and M. Kalecki
Published 2011-02-01Get full text
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46
Numerical modelling of ductile damage mechanics coupled with an unconventional plasticity model
Published 2016-10-01“…In this paper, we combine the approach proposed by Lemaitre with the features of an unconventional plasticity model, the extended subloading surface model, to predict material fatigue even for loading conditions below the yield stress…”
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47
Corrigendum: Modeling flow in an in vitro anatomical cerebrovascular model with experimental validation
Published 2025-01-01Subjects: “…cerebrovascular model…”
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48
A New Extension of the Exponentiated Weibull Model Mathematical Properties and Modelling
Published 2022-01-01“…In terms of performance, we show that the EW-EW distribution beats other models.…”
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49
A model based rule for selecting spiking thresholds in neuron models
Published 2015-12-01Subjects: Get full text
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50
MODEL PERTANIAN DENGAN MENGGUNAKAN MODEL EKONOMETRIKA DI KABUPATEN BEKASI
Published 2021-10-01“…Sementara itu, teori yang relevan ditempatkan sebagai model dasar (basic model) untuk dilonggarkan asumsinya agar mampu merekam sistem ekonomi Kabupaten Bekasi. …”
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51
Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning
Published 2022-01-01“…This paper proposes a new dendrite neuron model (DNM), which combines metaheuristic algorithm and dendrite neuron model effectively. …”
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52
Enhancing Interpretability of Neural Compact Models: Toward Reliable Device Modeling
Published 2024-01-01Subjects: “…Neural compact models…”
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53
Modelling Shallow Water Wakes Using a Hybrid Turbulence Model
Published 2014-01-01“…A numerical research with different turbulence models for shallow water equations was carried out. …”
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54
Retracted: Inverted Length-Biased Exponential Model: Statistical Inference and Modeling
Published 2024-01-01Get full text
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55
THE MODELLING OF CARGO TRANSSHIPMENT OPERATIONS USING THE BUSINESS PROCESS MODELLING TOOLS
Published 2024-09-01Subjects: Get full text
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56
Modeling and forecasting of egg production in india using time series models
Published 2021-12-01“…<p> <b>Results: </b>It is detected that Holt's Linear Trend Model is the best fit model for forecasting. The MAPE values are obtained as 2.137%, 5.378%, 4.681%, and 1.392% by the best-fitted models BATS, TBATS, ARIMA (1,2,2), and Holt?…”
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57
Modeling Complex Systems: A Case Study of Compartmental Models in Epidemiology
Published 2022-01-01“…Compartmental epidemic models have been widely used for predicting the course of epidemics, from estimating the basic reproduction number to guiding intervention policies. …”
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58
Modelling and analysis of an epidemic model with awareness caused by deaths due to fear
Published 2025-12-01“…In this paper, we establish a compartmental model in which the transmission rate is associated with the fear of being infected by COVID-19. …”
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59
Tridiagonal Hamiltonians modeling the density of states of the double-scaled SYK model
Published 2025-01-01Subjects: “…Matrix Models…”
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60
Data-driven model discovery and model selection for noisy biological systems.
Published 2025-01-01“…Machine learning methods offer alternative means of model construction: differential equation models can be learnt from data via model discovery using sparse identification of nonlinear dynamics (SINDy). …”
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