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Automated Nystagmus Parameter Determination: Differentiating Nystagmic from Voluntary Eye-Movements
Nystagmus describes an involuntary oscillation of one or both eyes. Depending on its origin, it decreases visual acuity and may lead to vertigo,...
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Parameterized complexity of multiwinner determination: more effort towards fixed-parameter tractability
We study the parameterized complexity of winner determination problems for three prevalent k -committee selection rules, namely the minimax approval...
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Zero root-mean-square error for single- and double-diode photovoltaic models parameter determination
The parameter determination based on experimental data aids in providing an accurate assessment for predicting the output current of the PV cells....
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Adaptive Parameter Determination Method of Synchronous Motor Digital PI Regulator
The parameter adaptation of digital PI regulator of synchronous motor has great influence on the production and use of current electric and...
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Boundary parameter matching for isogeometric analysis using Schwarz–Christoffel map**
Isogeometric analysis has brought a paradigm shift in integrating computational simulations with geometric designs across engineering disciplines....
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Fundamentals of Computation and Determination
This chapter illustrates the fundamental aspects of practical computations and determinations of the Earth’s gravity field. The topics covered are of...
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Faster Winner Determination Algorithms for (Colored) Arc Kayles
Arc Kayles and Colored Arc Kayles, two-player games on a graph, are generalized versions of well-studied combinatorial games Cram and Domineering,...
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Vector-Based Attitude Determination
Direction is the basic need of human beings. People need to identify the direction in their daily life.
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Improving word similarity computation accuracy by multiple parameter optimization based on ontology knowledge
Word similarity computation is one of the most fundamental areas of research in semantic information processing. Prior studies on Chinese word...
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Abstract: Determination of Unknown Biomechanical Parameters of a Screw-vertebra MBS Model
In this study, we show that parameters for which values are not known a priori can be determined with sufficient accuracy using a multibody...
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Modal Parameter Identification of Bridge Structure Based on Hybrid Genetic Algorithm
Bridges play an irreplaceable role in the structure of modern transportation system and play an important pivotal role in the development of...
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ClaSP: parameter-free time series segmentation
The study of natural and human-made processes often results in long sequences of temporally-ordered values, aka time series (TS). Such processes...
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Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration
Spiking Neural Network (SNN), originating from the neural behavior in biology, has been recognized as one of the next-generation neural networks....
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Parameter-Sensitive Queries: Causes and Solutions
Stored procedures and prepared statements can use parameters as placeholders for values. The optimizer can use the values in the parameter when the...
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A novel peridynamic fatigue crack propagation model based on two-parameter remaining-life formulation
A novel peridynamic fatigue model is introduced that incorporates the R-ratio effects on fatigue crack growth using a two-parameter remaining-life...
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Lazy Parameter Tuning and Control: Choosing All Parameters Randomly from a Power-Law Distribution
Most evolutionary algorithms have multiple parameters and their values drastically affect the performance. Due to the often complicated interplay of...
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Orbit Determination
Determining orbits from measurements has been done for hundreds of years. The general approach is to take a series of measurements of the object from...
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Parameter Estimation of Proton Exchange Membrane Fuel Cell Model Using Chaotic Embedded Particle Swarm Optimization Technique
The value of parametric coefficients in proton exchange membrane fuel cells (PEMFC) are not specified by the manufacturer thus it becomes necessary...
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Optimal Parameter Selection Using Explainable AI for Time-Series Anomaly Detection
Time-series anomaly detection is a technique for detecting unusual values, changes, or movements in a large amount of data arranged in time-series....
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Enhanced whale optimization algorithm-based modeling and simulation analysis for industrial system parameter identification
Parameter identification for complex systems of nonlinear nature is challenging due to the complicated process structure and large number of...
