Mathematics and Computer Science for Real-World Applications, Volume 4

Biswadip Basu Mallik, M. Niranjanamurthy, Sharmistha Ghosh, Krishanu Deyasi, Santanu Das

• Publisher: Wiley-Scrivener
• Year: 2025
• Print ISBN: 9781394275328
• eBook ISBN: 9781394275342
• Edition: 1
• Topic: Mathematics
• Subtopic: Applied Mathematics
• Index: Mathematics

Mathematics and Computer Science for Real-World Applications gives invaluable insights into how mathematical and computer sciences drive essential modern innovations that enhance everyday life, making it a must-read for anyone interested in the intersection of mathematics and technology and their real-world applications.

Mathematical sciences are part of nearly all aspects of everyday life. The discipline has underpinned beneficial modern capabilities, including internet searches, medical imaging, computer animation, numerical weather predictions, and digital communication. Mathematics and computer science are constantly evolving and contributing to most areas of science and engineering, therefore, future generations of mathematical scientists should reassess the increasingly cross-disciplinary nature of the mathematical sciences.

Mathematics and Computer Science for Real-World Applications presents current scientific and technological innovations from leading academics, researchers, and experts across the globe in mathematical sciences and computing. The volume will discuss new technical ideas and features that can be incorporated into day-to-day life for the benefit of society. A diversified spectrum of scientific advancements is discussed, including applications of differential and integral equations, computational fluid dynamics, nanofluids, network theory and optimization, control theory, machine learning, and artificial intelligence. Readers will explore diverse ideas and innovations in the field of computing and its growing connections to various fields of mathematics.

Table of contents

• Cover
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Analysis of Medical Image Using a Multimodal Approach for Precise Cancer Detection
• Chapter 2 A Review on Contemporary Advancements in Conversational AI Within the Cloud Platform
• Chapter 3 General Arrival Working Vacations Queue with Heterogeneous Servers Operating Under Triadic Policy
• Chapter 4 A New TOPSIS Approach Utilizing Triangular Divergence for Decision-Making in Single-Valued Neutrosophic Environment
• Chapter 5 Micro Vague Generalized Semi Connectedness in Micro Vague Topological Spaces
• Chapter 6 Image Retrieval Using Gaussian Mixture Model Based on Breast Cancer
• Chapter 7 Diophantine Equation of Degree Two Having Four Unknowns
• Chapter 8 Uniqueness Results to the Nonlinear Boundary Value Problems of Fourth Order
• Chapter 9 Bivariate Cointegrated Model with Gamma Innovations
• Chapter 10 Accelerated Reliability Sampling Plan Based on Transformed Lindley Distribution
• Chapter 11 A Synopsis of Fuzzy Set Theory
• Chapter 12 Efficient Classification of Breast Cancer Diseases on Medical Images Using Deep Learning Methodology
• Chapter 13 Low Power VLSI Architecture for 48-Bit Multiplication Using Elliptic Curve Algorithm
• Chapter 14 Enhancing Cloud Computing Security Through Decimal Bond DNA Cryptography (DBDNA): A Novel Approach
• Chapter 15 Fake News Detection in Healthcare Using Machine Learning
• Chapter 16 Insights into MHD Flow of Casson Fluid Over an Exponentially Permeable Stretching Surface Using Homotopy Analysis Method
• Chapter 17 Random Forest: One of the Best-Fitted ML Algorithms in Liver Disease Prediction
• Chapter 18 A Next-Gen Blood Donation Coordination System Empowered by MERN Stack and Machine Learning–Driven Dynamic Clustering for Intelligent Donor Identification
• Chapter 19 Artificial Intelligence in Detection and Classification of Lung Cancer - An Overview
• Chapter 20 Applications of Image Processing for Surface Irregularities Detection and Comparison with Nondestructive Testing Results
• Chapter 21 Detection of Fraud Review Through Object Recognition for Fake Picture Component Using Machine Learning Approach
• Chapter 22 Gas Leakage Surveillance System Leveraging Using Spartan 7 FPGA and GSM Technology
• Chapter 23 Realization of Health Intelligence in Industry 5.0 – A Paper on Sustainable Use of AI and Human Intelligence in Healthcare Industry
• Chapter 24 Preference Analysis Can Be a Guide to an Inamorata to Select Her Swain
• Chapter 25 A Comparative Study on Various Types of Algorithms of Artificial Neural Network for Solar Still Study: A Review
• Chapter 26 Arduino-Based Detector of Alcohol-Impaired Drivers to Auto-Lock the Engine for Road Safety Applications
• Chapter 27 Thematic Analysis for Text Review Detection Using Machine Learning
• Chapter 28 Artificial Intelligence Enabled Non-Destructive Testing and Engineering
• Chapter 29 Increasing Crop Productivity with Machine Learning Models
• Chapter 30 Wavelets and Their Recent Applications
• Chapter 31 Detection and Forecasting of Dengue Fever Using Data Mining Techniques
• Chapter 32 Image Classification Using CNN for the Detection of Cancer Cells to Avoid Metastasis
• Chapter 33 Revolutionizing Industries: Addressing Challenges and Innovations from Industry 4.0 to Industry 5.0
• Chapter 34 Portfolio Optimization Using Genetic Algorithm
• About the Editors
• Index
• Also of Interest
• EULA