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This book is a Printed Edition of the Special Issue that covers research on symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multicriteria decision-making (MCDM) problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the book.

COVID-19 --- criteria importance through inter-criteria correlation (CRITIC) --- combined compromise solution (CoCoSo) --- gray values --- temporary hospital --- location selection --- ARAS --- interval-valued triangular fuzzy numbers --- e-learning courses --- MCDM --- neutrosophic sets --- quadripartitioned bipolar neutrosophic sets --- similarity measure --- decision making --- multiple-criteria decision-making --- neutrosophic --- single-valued neutrosophic sets --- TOPSIS --- Hamming distance --- Euclidean distance --- e-commerce development strategies --- Symmetry --- bibliometric analysis --- Web of Science --- co-citation --- burst detection analysis --- supply chain --- DANP-mV model --- performance analysis --- asymmetric underactuated --- rehabilitation --- robotic exoskeleton --- symmetric and asymmetric trajectory --- Bowden cable --- video processing data --- EOQ --- Wilson’s formulation --- lot size --- reordering time --- visual analogue scales (VAS) --- criteria weighting --- matrix question --- survey --- WASPAS-SVNS --- entropy --- direct rating --- rehabilitation device --- electromyogram --- symmetry --- window parameters --- feature extraction --- pattern recognition --- sensitivity analysis --- reliability --- failure probability --- quantile --- civil engineering --- limit states --- mathematical model --- uncertainty --- cost overrun --- construction project --- fuzzy sets --- earned value management (EVM) --- artificial neural networks (ANNs) --- multiple regression analysis --- road industry --- buckling --- safety --- superquantile --- subquantile --- aerial imagery --- lossy compression --- qualitative evaluation --- WASPAS --- neutrosophic set --- Analytic Hierarchy Process --- fuzzy Analytic Hierarchy Process --- symmetric and asymmetric fuzzy numbers --- stability --- landscape --- micro factor --- macro factor --- real estate market --- Big Data analysis --- Big Data --- land price --- R and Python --- land Big Data --- symmetric data --- asymmetric data --- solution models

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Applied mathematics and symmetry work together as a powerful tool for problem reduction and solving. We are communicating applications in probability theory and statistics (A Test Detecting the Outliers for Continuous Distributions Based on the Cumulative Distribution Function of the Data Being Tested, The Asymmetric Alpha-Power Skew-t Distribution), fractals - geometry and alike (Khovanov Homology of Three-Strand Braid Links, Volume Preserving Maps Between p-Balls, Generation of Julia and Mandelbrot Sets via Fixed Points), supersymmetry - physics, nanostructures -chemistry, taxonomy - biology and alike (A Continuous Coordinate System for the Plane by Triangular Symmetry, One-Dimensional Optimal System for 2D Rotating Ideal Gas, Minimal Energy Configurations of Finite Molecular Arrays, Noether-Like Operators and First Integrals for Generalized Systems of Lane-Emden Equations), algorithms, programs and software analysis (Algorithm for Neutrosophic Soft Sets in Stochastic Multi-Criteria Group Decision Making Based on Prospect Theory, On a Reduced Cost Higher Order Traub-Steffensen-Like Method for Nonlinear Systems, On a Class of Optimal Fourth Order Multiple Root Solvers without Using Derivatives) to specific subjects (Facility Location Problem Approach for Distributed Drones, Parametric Jensen-Shannon Statistical Complexity and Its Applications on Full-Scale Compartment Fire Data). Diverse topics are thus combined to map out the mathematical core of practical problems.

History of engineering & technology --- Khovanov homology --- braid link --- Jones polynomial --- drone deployment --- drone port --- traveling salesman --- facility location problem --- molecular arrays --- constrained optimization --- equivariant bifurcation theory --- generalized Lane–Emden systems --- Noether-like operator --- conservation laws --- barycentric coordinate system --- coordinate system --- hexagonal grid --- triangular grid --- tri-hexagonal grid --- transformations --- test for outliers --- order statistics --- extreme values --- confidence intervals --- Monte-Carlo simulation --- nonlinear equations --- systems --- derivative-free methods --- fast algorithms --- computational efficiency --- neutrosophic soft sets --- inconsistent information --- prospect theory --- stochastic multi-criteria group decision making --- lie symmetries --- invariants --- shallow water --- similarity solutions --- optimal system --- equal volume projection --- hierarchical grid --- iterative function --- multiple root --- composite method --- derivative-free method --- optimal convergence --- full-scale fire experiment --- compartment fire --- permutation entropy --- two length permutation entropy --- time series analysis --- parametric Jensen-Shannon statistical complexity --- symmetric duality --- alpha-power skew-t distribution --- skew-t distribution --- power-t distribution --- asymmetry --- Fisher information matrix --- maximum likelihood estimation --- iteration --- fixed points --- fractals

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Applied mathematics and symmetry work together as a powerful tool for problem reduction and solving. We are communicating applications in probability theory and statistics (A Test Detecting the Outliers for Continuous Distributions Based on the Cumulative Distribution Function of the Data Being Tested, The Asymmetric Alpha-Power Skew-t Distribution), fractals - geometry and alike (Khovanov Homology of Three-Strand Braid Links, Volume Preserving Maps Between p-Balls, Generation of Julia and Mandelbrot Sets via Fixed Points), supersymmetry - physics, nanostructures -chemistry, taxonomy - biology and alike (A Continuous Coordinate System for the Plane by Triangular Symmetry, One-Dimensional Optimal System for 2D Rotating Ideal Gas, Minimal Energy Configurations of Finite Molecular Arrays, Noether-Like Operators and First Integrals for Generalized Systems of Lane-Emden Equations), algorithms, programs and software analysis (Algorithm for Neutrosophic Soft Sets in Stochastic Multi-Criteria Group Decision Making Based on Prospect Theory, On a Reduced Cost Higher Order Traub-Steffensen-Like Method for Nonlinear Systems, On a Class of Optimal Fourth Order Multiple Root Solvers without Using Derivatives) to specific subjects (Facility Location Problem Approach for Distributed Drones, Parametric Jensen-Shannon Statistical Complexity and Its Applications on Full-Scale Compartment Fire Data). Diverse topics are thus combined to map out the mathematical core of practical problems.

History of engineering & technology --- Khovanov homology --- braid link --- Jones polynomial --- drone deployment --- drone port --- traveling salesman --- facility location problem --- molecular arrays --- constrained optimization --- equivariant bifurcation theory --- generalized Lane–Emden systems --- Noether-like operator --- conservation laws --- barycentric coordinate system --- coordinate system --- hexagonal grid --- triangular grid --- tri-hexagonal grid --- transformations --- test for outliers --- order statistics --- extreme values --- confidence intervals --- Monte-Carlo simulation --- nonlinear equations --- systems --- derivative-free methods --- fast algorithms --- computational efficiency --- neutrosophic soft sets --- inconsistent information --- prospect theory --- stochastic multi-criteria group decision making --- lie symmetries --- invariants --- shallow water --- similarity solutions --- optimal system --- equal volume projection --- hierarchical grid --- iterative function --- multiple root --- composite method --- derivative-free method --- optimal convergence --- full-scale fire experiment --- compartment fire --- permutation entropy --- two length permutation entropy --- time series analysis --- parametric Jensen-Shannon statistical complexity --- symmetric duality --- alpha-power skew-t distribution --- skew-t distribution --- power-t distribution --- asymmetry --- Fisher information matrix --- maximum likelihood estimation --- iteration --- fixed points --- fractals

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The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist–Johnson–Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast–Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control --- n/a --- Holmquist-Johnson-Cook constitutive model of briquette --- Fast-Newman algorithm

Choose an application

• Reference Manager
• EndNote
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The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

Technology: general issues --- process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist-Johnson-Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast-Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control