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Application of the UAV Photogrammetry to Monitor the Progressive Surface Subsidence with a Time-Dependent Model
The surface subsidence, with a maximum value exceeding 160 m, has developed over 40 years due to underground magnetite mining. The classical map**...
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Interpretable weather forecasting for worldwide stations with a unified deep model
Automatic weather stations are essential for fine-grained weather forecasting; they can be built almost anywhere around the world and are much...
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A novel pressure transient analysis model for fracturing wells in fracture–cavity carbonate reservoirs
Large-scale karst caves are the principal storage spaces for hydrocarbon resources in fracture–cavity carbonate reservoirs. Drilling directly into...
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Study on Bayesian Skew-Normal Linear Mixed Model and Its Application in Fire Insurance
Fire insurance is a crucial component of property insurance, and its rating depends on the forecast of insurance loss claim data. Fire insurance loss...
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Model Selection
In this chapter, we discuss approaches for a problem called model selection. Model selection is always needed when there are a number of candidate...
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Fuglevand Model (Rate Coding and Motor Unit Recruitment Model)
For force and sEMG simulation, we introduce the motor unit recruitment and rate coding (Fuglevand) model in this chapter. This model has already been...
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A generalisation of the integral Maxwell model: the gK-BKZ model—frame invariance and analytical solutions
In this work, we present a generalisation of the Maxwell integral model by develo** a new relaxation modulus based on the Mittag-Leffler function....
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Use Data Augmentation Model in Image Segmentation
In our research, we have harnessed the power of deep learning techniques for data augmentation. Specifically, we employed generative adversarial...
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A Phenomenological Model for Interstitial Hydrogen Absorption in Niobium
A phenomenological model has been developed for hydrogen absorption in niobium. The model has nine free parameters that have a physical basis. The...
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A mathematical model based on modified ID3 algorithm for healthcare diagnostics model
Data has become an asset in this digitization revolution, and the healthcare segment is the leading cause of this big data. Healthcare data analysis...
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Model Checking Futexes
The futex Linux system call enables implementing performant inter-thread synchronisation primitives, such as mutexes and condition variables....
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Hierarchy Affective Knowledge Enhanced Emotion Recognition Model
Fine-grained emotion recognition models are better at capturing diverse emotions than traditional approaches. However, the huge number of category...
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An Improved Unique Fatigue Crack Growth Rate Curve Model and Determination of the Model Shape Exponents
It is essential to precisely predict the crack growth, especially the near-threshold regime crack growth under different stress ratios, for most...
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Bayesian Model Class Selection and Self-Calibratable Model Classes for Real-Time System Identification
This chapter introduces the Bayesian model class selection for real-time system identification and an adaptive reconfiguring strategy for the model...
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Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction
Glass transitions are an important phenomenon in amorphous materials with potential for various applications. The Tool-Narayan-aswamy-Moynihan (TNM)...
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Voice production model based on phonation biophysics
This paper presents a proposal to a source-filter theory of voice production, more precisely related to voiced sounds. It is a proposal of a model to...
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Automatic Classification of Disordered Voices Based on a Hybrid HMM-SVM Model
AbstractThe main concern of this paper is the clinical assessment of disordered voices using an automatic classification method based on a hybrid...
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Symmetric Geometric Skew Normal Regression Model
Recently, Kundu (2014, Sankhya, Ser. B, 167–189, 2014) proposed a geometric skew normal (GSN) distribution as an alternative to Azzalini’s skew...
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A Federated Cox Model with Non-proportional Hazards
Recent research has shown the potential for neural networks to improve upon classical survival models such as the Cox model, which is widely used in...
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Bayesian multiple linear regression model for GDP in India
Gross Domestic Product (GDP) known as the pulse of economy for any country depends on multiple factors like export–import, inflation rate and...
