Mathematical Modelling and Computational Intelligence Techniques: ICMMCIT-2021, Gandhigram, India February 10–12

دانلود کتاب Mathematical Modelling and Computational Intelligence Techniques: ICMMCIT-2021, Gandhigram, India February 10–12

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کتاب مدل‌سازی ریاضی و تکنیک‌های هوش محاسباتی: ICMMCIT-2021، گاندیگرام، هند 10 تا 12 فوریه نسخه زبان اصلی

دانلود کتاب مدل‌سازی ریاضی و تکنیک‌های هوش محاسباتی: ICMMCIT-2021، گاندیگرام، هند 10 تا 12 فوریه بعد از پرداخت مقدور خواهد بود
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توضیحاتی در مورد کتاب Mathematical Modelling and Computational Intelligence Techniques: ICMMCIT-2021, Gandhigram, India February 10–12

نام کتاب : Mathematical Modelling and Computational Intelligence Techniques: ICMMCIT-2021, Gandhigram, India February 10–12
عنوان ترجمه شده به فارسی : مدل‌سازی ریاضی و تکنیک‌های هوش محاسباتی: ICMMCIT-2021، گاندیگرام، هند 10 تا 12 فوریه
سری : Springer Proceedings in Mathematics & Statistics, 376
نویسندگان : , , ,
ناشر : Springer
سال نشر : 2022
تعداد صفحات : 349
ISBN (شابک) : 9811660174 , 9789811660177
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 6 مگابایت



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فهرست مطالب :


Preface
Acknowledgements
About This Book
Contents
About the Editors
Mathematical Modelling
Application of Optimal Controls on Dengue Dynamics—A Mathematical Study
1 Introduction
2 Mathematical Formulation and Its Description
2.1 Positivity and Boundedness of the System
3 Model Analysis
3.1 Endemic Equilibrium Point Existence
4 Sensitivity Analysis
5 Optimal Control Analysis
6 Discussion and Conclusion
References
Did the COVID-19 Lockdown in India Succeed? A Mathematical Study
1 Introduction
2 COVID-19 Lockdown: Indian Scenario
3 Methodology
3.1 Model Formulation
3.2 The Basic Reproduction Number
3.3 Data Collection and Model Fitting
4 Results
5 Discussion
6 Conclusion
7 Appendix 1
8 Appendix 2
References
Tumour Growth and Its Treatment Response Delineate with Mathematical Models
1 Introduction
2 Tumour Growth Treatment Model
3 Stability Analysis
3.1 Qualitative Analysis of Hahnfeldt Et. Al. Model and Modified Hahnfeldt Model Without Treatment
3.2 Result and Discussion
4 Numerical Simulation
4.1 Root Mean Square Error
5 Conclusion
References
A Computational Approach to the Three-Body Coulomb Problem: Positron Scattering from Atomic Systems
1 Introduction
2 Optical Potential Formalism
3 Computational Details
3.1 Computational Details of the Optical Potentials
3.2 Numerical Solutions of Lippmann–Schwinger Equations
3.3 Convergence of the Cross Section
3.4 An Overview of the Coupled-Channel Optical Method (CCOM) Computational Codes
4 Results
5 Conclusion
References
Common Best Proximity Points for Some Contractive Type Mappings
1 Introduction
2 Preliminaries
3 Main Results
4 Conclusion
References
Dynamical Analysis of Conformable Fractional-Order Rosenzweig-MacArthur Prey–Predator System
1 Introduction
2 Preliminaries and System Description
2.1 Preliminaries
2.2 System Description
3 Dynamical Behavior of the System
3.1 Existence and Uniqueness of the Solution
3.2 Non-negativity and Boundedness
4 Equilibrium Points and Stability Analysis
4.1 Equilibrium Points
4.2 Stability Analysis
5 Numerical Example
References
Computation of Probabilities of Mixed Poisson–Weibull Distribution
1 Introduction
2 Mixed Poisson Distributions
2.1 Negative Binomial, Poisson–Inverse Gaussian, and Poisson–Lognormal Distributions
2.2 The Poisson–Weibull Distribution
3 Computation of Poisson–Weibull Probabilities
3.1 Alternating Series Formula for Poisson–Weibull Probabilities
3.2 Monte Carlo Simulation Technique
3.3 Application of the Computational Approaches
4 Parameter Estimation
5 Applications
6 Concluding Remarks
References
Cost of Energy for Distributed Energy Resources-Based Power Generation in a Rural Microgrid: Impact of Controlling Parameters
1 Introduction
2 Study Area
3 Load Assessment
4 Resource Estimation
5 Formulating the Problem
6 Results and Discussion
7 Conclusion
References
Image Processing
Adaptive Learning Rate-Based Convolutional Neural Network Models for Brain Tumor Images Classification
1 Introduction
2 Learning Rate
2.1 Scheduling Learning Rate
2.2 Adaptive Learning Rate
3 Materials and Metrics
4 Methodology and Experimental Results
4.1 Data Preprocessing
4.2 Adaptive CNN Models Development
5 Conclusion and Future Enhancements
1. References
Extended Discrete Cosine Transform
1 Introduction
2 Discrete Cosine Transform
3 The Proposed Method
4 Image Metrics
5 Performance Evaluation Metrics
6 Results and Discussion
6.1 Lena Image
6.2 Mandrill Image
6.3 Peppers Image
6.4 Boat Image
6.5 Computing Time
7 Conclusions
References
Image Reconstruction from Geometric Moments via Cascaded Digital Filters
1 Introduction
2 Proposed Method
2.1 Inverse Coefficient Matrix
2.2 Subtractor Circuit
3 Experimental Results and Discussion
3.1 Image Reconstruction from Geometric Moments
3.2 Reconstruction Error and CPU Elapsed Time
4 Conclusion
References
Background Preserved and Feature-Oriented Contrast Improvement Using Weighted Cumulative Distribution Function for Digital Mammograms
1 Introduction
1.1 HE Partition-Based Methods
1.2 Adaptive Histogram Equalization (AHE) and Its Variants
1.3 Unsharp Masking (UM)-Based Methods
2 The Proposed Background Preserved and Feature-Oriented Contrast Improvement (BPFO-CI) Method
2.1 Implementation Mechanism of BPFO-CI
2.2 Algorithm for Background Preserved and Feature-Oriented Contrast Improvement Using Weighted Cumulative Distribution Function
3 The Experimental of BPFO-CI
3.1 Results and Discussion
4 Conclusion
References
Control Theory and Its Applications
Finite-Time Passification of Fractional-Order Recurrent Neural Networks with Proportional Delay and Impulses: An LMI Approach
1 Introduction
2 Model Description
3 Basic Results and Definitions
4 Theoretical Results
4.1 Analysis for FONNs Without Impulses
4.2 Analysis for FONNs with Impulses
5 Numerical Simulations
6 Conclusion and Future Directions
References
Synchronization of Delayed Fractional-Order Memristive BAM Neural Networks
1 Introduction
2 System Formulation and Preliminaries
3 Main Results
4 Illustrative Example
5 Conclusion
References
Graphs and Networks
r-Dynamic Chromatic Number of Extended Neighborhood Corona of Complete Graph with Some Graphs
1 Introduction
2 Preliminaries
3 Results
4 Conclusion
References
Corona Domination Number of Graphs
1 Introduction
2 Characterization of Corona Domination Number of a Graph
3 Corona Domination Number for Some Standard Graphs
4 Conclusion
References
An AHP-Based Unmanned Aerial Vehicle Selection for Data Collection in Wireless Sensor Networks
1 Introduction
2 Motivation
3 Related Works
4 Proposed Technique
4.1 AHP-Based Mobile Sink Selection Technique
5 Implementation Details
5.1 Virtual Grid-Based Geographic Routing-AHP Technique
5.2 Multiple Ring-Based Nested Routing-AHP Technique
6 Performance Analysis
6.1 Performance Analysis on Energy Consumption
6.2 Performance Analysis on Average Delay
6.3 Performance Analysis on Packet Delivery Ratio
7 Statistical Analysis of the Proposed Techniques
7.1 Two-Tailed Test
8 Conclusion
References
On the Characteristic Polynomial of the Subdivision-Vertex Join of Graphs
1 Introduction
2 Adjacency Characteristic Polynomial
3 Laplacian Characteristic Polynomial
4 Signless Laplacian Characteristic Polynomial
5 Conclusion
References
Genus and Book Thickness of the Inclusion Ideal Graph of a Ring
1 Introduction
2 Preliminaries
3 Genus of In(R)
4 Crosscap of In(R)
5 Book Thickness of In(R)
6 Conclusion
References
Inventory Control
An EOQ Inventory Model with Shortage Backorders and Incorporating a Learning Function in Fuzzy Parameters
1 Introduction
2 Review of Basic Concepts
2.1 Fuzzy Numbers
2.2 Arithmetic Operations on Fuzzy Numbers
2.3 Defuzzification of Fuzzy Numbers
2.4 Wright\'s Learning Function
3 Formulation of Fuzzy Model and Its Solution Procedure
4 Impact of Wright\'s Learning Function on Fuzzy Input Parameters
4.1 Case-1: 0
4.2 Case-2: 0
5 Numerical Examples
6 Sensitivity Analysis
7 Conclusion
References
A Comparison Between Fuzzy and Intuitionistic Fuzzy Optimization Technique for Profit and Production of Crops in Ariyalur District
1 Introduction
2 Study Area and Crops
3 Fuzzy Optimization Technique
3.1 Computational Algorithm
3.2 Notations
4 Intuitionistic Fuzzy Optimization Technique
4.1 Algorithm
5 Problem Illustration
6 Conclusion
References




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