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The viscous strip approach to simplify the calculation of the surface acoustic wave generated streaming
In recent decades, the importance of surface acoustic waves, as a biocompatible tool to integrate with microfluidics, has been proven in various...
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Nuclear Magnetic Resonance
Nuclear magnetic resonance (NMR) Nuclear Magnetic Resonance (NMR) uses a large ensemble of molecules in a test tube (a liquid). The spinSpin states...
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Multirate Circuit - EM - Device Simulation
Radio frequency (RF) integrated circuits are at the core of modern mobile communication. They basically comprise the analog front-end, the...
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New Insights on Loss Given Default for Ship** Finance: Parametric and Non-parametric Estimations
This study analyzes different parametric and non-parametric modeling methods for estimating the Loss Given Default (LGD) of bank loans for ship**...
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Mathematical Modeling and Diagnostics Using Neural Networks and a Genetic Algorithm for Epilepsy Patients
Medical and biological electroencephalogram (EEG) signals are widely used for diagnosis, further medical support and treatment of such disease as...
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Single-step auto-tuning of external active dam** control strategy for a drill-string speed-controlled electrical drive
This paper presents a single-step automatic tuning procedure and an estimator of key parameters of the drill-string system used in deep drilling...
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A Debugging Tool for Routing Protocols in Wireless Sensor Networks
A wireless sensor network (WSN) is an important modern technology supporting the internet of things. These networks are created as needed. There is...
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Advanced Analytics for Rock Blasting and Explosives Engineering in Mining
Blasting is a fundamental operation in the mining of metal and non-metal mine sites. There is a historical story of using explosive material in both...
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Results
This section starts by describing the financial data, evaluation metrics and an additional strategy utilized as comparison baseline for this work’s...
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Integraltransformationen – Multiplizieren statt Differenzieren
Durch die Arbeiten von Laplace und Fourier sind Integraltransformationen als mathematische Methode aus kaum einem Anwendungsfeld wegzudenken. Die...
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Some Properties of the Fractal Convolution of Functions
We consider the fractal convolution of two maps f and g defined on a real interval as a way of generating a new function by means of a suitable...
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AI-Enhanced Fault Detection Using Multi-Structured Data in Semiconductor Manufacturing
The semiconductor industry is growing rapidly due to its key drivers, an increased chip demand for newly emerging technologies, as well as the...
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Random Average Sampling in a Reproducing Kernel Subspace of Mixed Lebesgue Space \(L^{p,q}({\mathbb {R}}^{n+1})\)
In this paper, we study average sampling inequality in a probabilistic framework for a reproducing kernel subspace V of mixed Lebesgue space. More...
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Solutions to rough differential equations
We show how to solve differential equations driven by rough paths by a simple Picard iteration argument. This yields a pathwise solution theory...
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Spirometry-Based Airways Disease Simulation and Recognition Using Machine Learning Approaches
The purpose of this study is to provide means to physicians for automated and fast recognition of airways diseases. In this work, we mainly focus on...
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Mathematical Modeling of Coupled Electro-thermal Response of Nerve Tissues Subjected to Radiofrequency Fields
This study aims at develo** a mathematical model taking into account the effects of thermal pain sensation induced during the radiofrequency...
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Sparse Representation for Device-Free Human Detection and Localization with COTS RFID
Passive human detection and localization is the basis for a broad range of intelligent scenarios including unmanned supermarket, health monitoring,...
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Homogeneous Quasi-Continuous Sliding Mode Control
Control under heavy uncertainty conditions is one of the central topics of the modern control theory. The sliding-mode control approach [51, 53, 9]...
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Sampling and Reconstruction of Signals in a Reproducing Kernel Space with Mixed Norm
In this paper, the signals of interest reside in a reproducing kernel space with mixed norm defined on metric measure spaces. We consider three...
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Background and State-of-the-Art
This chapter presents the fundamental concepts put into practice throughout this thesis. In first place, the subject of Cryptocurrencies is...