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Recent Developments in Mathematical, Statistical and Computational Sciences The V AMMCS International Conference, Waterloo, Canada, August 18–23, 2019
This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research...
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Oscillations and Periodic Solutions in a Two-Dimensional Differential Delay Model
A class of two-dimensional differential systems with delay and overall negative feedback is considered. Sufficient conditions for the existence of...
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Toral Diffeomorphisms Induce Quantum Superoperators via TAQS
We propose a new method for adapting (perturbing) models of quantum observables. The method is dubbed TAQS as it is based on toral automorphisms...
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A New Method of Modelling Tuneable Lasers with Functional Composition
A new nonlinear model is proposed for tuneable lasers. Using the generalized nonlinear Schrödinger equation as a starting point, expressions for the...
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A Bestiary of Transformation Semigroups for the Holonomy Decomposition
Here we give a selection of instructional examples of holonomy decompositions of finite transformation semigroups. These are edge cases that can be...
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Modelling Thermal Aspects of Decomposition
Temperature modelling at a crime scene is crucial for forensic investigators to estimate the minimum postmortem interval (PMI...
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Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
Pre-training a transformer-based model for the language modeling task in a large dataset and then fine-tuning it for downstream tasks has been found...
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An Optimal Control Strategy for a Malaria Model
Malaria is a major vector-borne disease that has been generating a serious health burden and devastating the economy of Sub-Saharan Africa,...
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Inferring Rankings from First Order Marginals
Motivated by applications in ranked-choice voting, we consider the problem of recovery of an election profile—encoded by a function f on the...
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About the Algorithms of Strategic Management
This article is devoted to the development of generalized dynamical programming methods of mathematical and computational approaches for solving...
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Prediction Intervals of Machine Learning Models for Taxi Trip Length
Errors are always present in predictions produced by machine learning models. Producing a quantitative estimate of the uncertainty in a model’s...
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The Impact of External Features on Prediction Accuracy in Short-Term Energy Forecasting
Accurate prediction of future electricity demand is important in the energy industry. Machine learning for time series prediction provides solutions...
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Mean-Square Stability of Stochastic System with Impulse and Unbounded Delay
This paper investigates mean-square stability of stochastic systems with time-varying parameters, impulses and unbounded delay. Applying the...
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Input-to-State Stability for Delayed Hybrid Systems and \(H_{\infty }\) Control
This paper addresses the problems of input-to-state stability/stabilization (ISS) and designing a robust reliable...
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Comparing Regularization Techniques Applied to a Perceptron
Overfitting is a common problem that is faced when dealing with neural networks, especially as computers continue to get more powerful, and we have...
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A Comparison of Turbulence Generated by 3DS Sparse Grids with Different Blockage Ratios and Different Co-frame Arrangements
A new type of grid turbulence generator, the 3D sparse grid (3DS), is a co-planar arrangement of co-frames each containing a different length scale...
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bacoli_py—A Python Package for the Error Controlled Numerical Solution of 1D Time-Dependent PDEs
This paper introduces, bacoli_py, a Python 3 package for computing error controlled numerical solutions to 1D time-dependent PDEs. This package wraps...
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Impulsive Distance-Based Formation Tracking Control of Multi-agent Systems
In this paper, we discuss the distance-based formation control problems for double-integrator multi-agent system (MAS) via impulsive protocols. The...
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Ranking Association Rules from Data Mining for Health Outcomes: A Case Study of Effect of Industrial Airborne Pollutant Mixtures on Birth Outcomes
Association rule mining can be a powerful computational tool for exploring complex interactions between high-dimensional exposures and health...
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Contaminant Removal in Ceramic Water Filters by Bacterial Biofilms
We investigate point-of-use ceramic water filters by reformulating an existing multi-scale biofilm model that has been developed for porous medium...