Mathematics and computer science. Volume 2

Mathematics and computer science Volume 2 Volume 2 /

MATHEMATICS AND COMPUTER SCIENCE This second volume in a new multi-volume set builds on the basic concepts and fundamentals laid out in the previous volume, presenting the reader with more advanced and cutting-edge topics being developed in this exciting field. This second volume in a new series fro...

Descripción completa

Detalles Bibliográficos
Otros Autores: Ghosh, Sharmistha, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, NJ ; Beverly, MA : John Wiley & Sons, Inc [2023]
Materias:
Computer science > Mathematics.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009757935106719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 A Comprehensive Review on Text Classification and Text Mining Techniques Using Spam Dataset Detection
  • 1.1 Introduction
  • 1.2 Text Mining Techniques
  • 1.2.1 Data Mining
  • 1.2.2 Information Retrieval
  • 1.2.3 Natural Language Processing (NLP)
  • 1.2.4 Information Extraction
  • 1.2.5 Text Summarization
  • 1.2.6 Text Categorization
  • 1.2.7 Clustering
  • 1.2.8 Information Visualization
  • 1.2.9 Question Answer
  • 1.3 Dataset and Preprocessing Steps
  • 1.3.1 Text Preprocess
  • 1.4 Feature Extraction
  • 1.4.1 Term Frequency - Inverse Document Frequency
  • 1.4.2 Bag of Words (BoW)
  • 1.5 Supervised Machine Learning Classification
  • 1.6 Evaluation
  • 1.7 Experimentation and Discussion Results for Spam Detection Data
  • 1.8 Text Mining Applications
  • 1.9 Text Classification Support
  • 1.9.1 Health
  • 1.9.2 Business and Marketing
  • 1.9.3 Law
  • 1.10 Conclusions
  • References
  • Chapter 2 Study of Lidar Signals of the Atmospheric Boundary Layer Using Statistical Technique
  • 2.1 Introduction
  • 2.2 Methodology
  • 2.2.1 A Statistical Approach to Determine the CBLH
  • 2.2.2 A Statistical Approach to Determine the Best Fit Distribution to the Backscatter Signals of the Lidar Dataset
  • 2.3 Mathematical Background of Method
  • 2.4 Example and Result
  • 2.5 Conclusion and Future Scope
  • Acknowledgement
  • References
  • Annexure
  • Chapter 3 Optimal Personalized Therapies in Colon Cancer Induced Immune Response using a Fokker-Planck Framework
  • 3.1 Introduction
  • 3.2 The Control Framework Based on Fokker-Planck Equations
  • 3.3 Theoretical Results
  • 3.4 Numerical Schemes
  • 3.5 Results
  • 3.6 Conclusion
  • Acknowledgments
  • References
  • Chapter 4 Detection and Classification of Leaf Blast Disease using Decision Tree Algorithm in Rice Crop
  • 4.1 Introduction.
  • 4.2 Proposed Methodology
  • 4.3 Result Analysis
  • 4.4 Conclusion
  • 4.5 Future Work
  • References
  • Chapter 5 Novel Hybrid Optimal Deep Network and Optimization Approach for Human Face Emotion Recognition
  • 5.1 Introduction
  • 5.2 Related Work
  • 5.3 System Model and Problem Statement
  • 5.4 Proposed Model
  • 5.4.1 Preprocessing Stage
  • 5.4.2 Knowledge Based Face Detection
  • 5.4.3 Image Resizing
  • 5.4.4 Feature Extraction
  • 5.5 Proposed HDC-GEN Classification
  • 5.6 Result and Discussion
  • 5.6.1 Performance Metrics Evaluation
  • 5.6.2 Comparative Analysis
  • 5.7 Conclusion
  • References
  • Chapter 6 An Application of Information Technology in Adaptive Leadership of Ministry of Ayush During Pandemic of Covid 19: A Case Study
  • 6.1 Introduction
  • 6.2 Ministry of AYUSH
  • 6.3 Leadership Principles and Practices by Ministry of AYUSH During Covid-19
  • 6.4 Effective Communication
  • 6.5 Sharing of Resources
  • 6.6 Shared Decision Making
  • 6.7 Training of Manpower
  • 6.8 Use of IT Platform
  • 6.9 Finding Opportunities for R&amp
  • D During the Crisis
  • 6.10 Collaborating with Stakeholders for International Day of Yoga (IDY)
  • 6.11 Providing Hope When Nothing Seemed to be Working
  • 6.12 Leveraging Old Knowledge
  • 6.13 Conclusion
  • References
  • Chapter 7 Encoder-Decoder Models for Protein Secondary Structure Prediction
  • 7.1 Introduction
  • 7.2 Literature Review
  • 7.3 Experimental Work
  • 7.3.1 Data Set
  • 7.3.2 Proposed Methodology
  • 7.3.3 Data Preprocessing
  • 7.3.4 Long Short Term Memory
  • 7.4 Results and Discussion
  • 7.5 Conclusion
  • References
  • Chapter 8 Hesitancy, Awareness, and Vaccination: A Computational Analysis on Complex Networks
  • 8.1 Introduction
  • 8.2 Model Formulation
  • 8.3 Model Analysis on Complex Network
  • 8.3.1 Effect of Vaccination Rate
  • 8.3.2 Effect of Negative Rumors.
  • 8.3.3 Effect of Positive Peer Influence
  • 8.4 Conclusions and Perspectives
  • References
  • Chapter 9 Propagation of Seismic Waves in Porous Thermoelastic Semi-Infinite Space with Impedance Boundary Conditions
  • 9.1 Introduction
  • 9.2 Basic Equations
  • 9.3 Problem Formulation
  • 9.4 Reflection at the Free Surface
  • 9.4.1 Boundary Conditions
  • 9.4.2 Energy Ratios
  • 9.5 Numerical Results and Discussion
  • 9.6 Conclusion
  • References
  • Chapter 10 IoT Based Ensemble Predictive Techniques to Determine the Student Observing Analysis through E-Learning
  • 10.1 Introduction
  • 10.2 Review of Literature
  • 10.2.1 Objectives of the Study
  • 10.3 Methodology
  • 10.4 Analysis and Interpretation
  • 10.5 Findings and Conclusion
  • References
  • Chapter 11 Modelling and Analysis of a Congestion Dependent Queue with Bernoulli Scheduled Vacation Interruption and Client Impatience
  • 11.1 Introduction
  • 11.2 Model Overview
  • 11.3 Model Analysis
  • 11.3.1 Pre-Arrival Epoch Probabilities
  • 11.3.2 Arbitrary Epoch Probabilities
  • 11.4 Special Cases
  • 11.5 Performance Metrics
  • 11.6 Numerical Outcomes
  • 11.7 Conclusion
  • References
  • Chapter 12 Resource Allocation Determines Alternate Cell Fate in Bistable Genetic Switch
  • 12.1 Introduction
  • 12.2 Model Formulation
  • 12.3 Result Section
  • 12.3.1 Pitchfork Bifurcation in Genetic Toggle
  • 12.3.1.1 Resource Affinity Regulates the Symmetry of Pitchfork Bifurcation
  • 12.3.1.2 Availability of Total mRNA Pool Regulates the Symmetry of Pitchfork Bifurcation
  • 12.3.1.3 Total Resource Availability Regulates the Point of Bifurcation in the System
  • 12.3.2 Saddle Node Bifurcation in Genetic Toggle
  • 12.3.2.1 Resource Distribution Regulates the Point of Bifurcation in Toggle Switch
  • 12.3.2.2 Region of Interest in Toggle Switch is Significantly Regulated by Resource Allocation.
  • 12.3.2.3 Total Resource Availability T Regulates Saddle Node Bifurcation Curve
  • 12.4 Conclusion
  • Acknowledgement
  • References
  • Chapter 13 A Hybrid Approach to Ontology Evaluation
  • 13.1 Introduction
  • 13.2 Background
  • 13.3 The Developed OntoEva Method
  • 13.4 Ontology Selection for Epilepsy Disorder
  • 13.4.1 Accuracy
  • 13.4.2 Adaptability
  • 13.4.3 Clarity
  • 13.4.4 Completeness
  • 13.4.5 Conciseness
  • 13.4.6 Consistency
  • 13.4.7 Organizational Fitness
  • 13.5 Results
  • 13.6 Comparison of Ontologies
  • 13.7 Conclusion
  • References
  • Chapter 14 Smart Health Care Waste Segregation and Safe Disposal
  • 14.1 Introduction
  • 14.2 Related Works
  • 14.3 System Architecture
  • 14.3.1 Wrapping
  • 14.3.2 Incinerator
  • 14.3.3 Conveyor Cleaning System
  • 14.3.4 Circuit Diagram
  • 14.3.5 Optimal Path Planning Algorithm for Waste Collection
  • 14.4 Methodology
  • 14.5 Mobile App
  • 14.6 Conclusions and Future Works
  • Declarations
  • Availability of Data and Materials
  • Competing Interests
  • Author's Contribution
  • References
  • Chapter 15 Investigation of Viscoelastic Magnetohydrodynamics (MHD) Flow Over an Expanded Lamina Surrounded in a Permeable Media
  • 15.1 Introduction
  • 15.1.1 Literature Review
  • 15.1.2 Nomenclature
  • 15.2 Formulation of the Problem
  • 15.2.1 Analytical Solution
  • 15.2.2 Numerical Methods (Spectral Quasi-Linearization Methods)
  • 15.3 Result and Argument
  • 15.4 Conclusion
  • References
  • Chapter 16 Quickest Multi-Commodity Contraflow with Non-Symmetric Traversal Times
  • 16.1 Introduction
  • 16.2 Preliminaries with Flow Models
  • 16.2.1 Mathematical Model with Contraflow
  • 16.3 QMCCF with Non-Symmetric Transit Times
  • 16.3.1 Approximation Approach for the QMCCF
  • 16.4 Conclusions
  • Acknowledgments
  • References.
  • Chapter 17 A Mathematical Representation for Deteriorating Goods with a Trapezoidal-Type Demand, Shortages and Time Dependent Holding Cost
  • 17.1 Introduction
  • 17.2 Assumptions and Notations
  • 17.2.1 Assumptions
  • 17.2.2 Notation
  • 17.2.3 Decision Variables
  • 17.3 Formulation and Solution
  • 17.3.1 Case 1 i) 0 &lt
  • í &lt
  • t1 &lt
  • t2 &lt
  • t3 &lt
  • T
  • 17.3.2 Case 2 ii) 0 &lt
  • ta &lt
  • í &lt
  • tb &lt
  • tc &lt
  • T
  • 17.3.3 Case 3 iii) 0 &lt
  • ta &lt
  • tb &lt
  • í &lt
  • tc &lt
  • T
  • 17.4 Numerical Example
  • 17.5 Discussion
  • 17.6 Inference
  • References
  • Chapter 18 An Amended Moth Flame Optimization Algorithm Based on Fibonacci Search Approach for Solving Engineering Design Problems
  • 18.1 Introduction
  • 18.2 Classical MFO Algorithm
  • 18.3 Proposed Method
  • 18.4 Results and Discussions on IEEE CEC 2019 Benchmark Problems
  • 18.5 Real-Life Applications
  • 18.5.1 Optimal Gas Production Capacity Problem
  • 18.5.2 Three-Bar Truss Design (TSD) Problem
  • 18.6 Conclusion with Future Studies
  • References
  • Chapter 19 Image Segmentation of Neuronal Cell with Ensemble Unet Architecture
  • 19.1 Introduction
  • 19.2 Methods
  • 19.3 Dataset
  • 19.4 Implementation Details
  • 19.5 Evaluation Metrics
  • 19.6 Result
  • 19.7 Conclusion
  • References
  • Chapter 20 Automorphisms of Some Non-Abelian p-Groups of Order p4
  • 20.1 Introduction
  • 20.2 Categorization of p-Groups with Order p4
  • 20.3 Number of Automorphisms of Some Non-Abelian Groups of Order p4
  • 20.3.1 Computation of Automorphisms of Group G9
  • 20.3.2 Computation of Automorphisms of Group G10
  • 20.3.3 Computation of Automorphisms of G11
  • References
  • Chapter 21 Viscoelastic Equation of p-Laplacian Hyperbolic Type with Logarithmic Source Term
  • 21.1 Introduction
  • 21.2 Preliminaries
  • 21.3 Global Existence Result.
  • 21.4 Blow Up Results of the Solution for Equation (21.1).

Ejemplares similares