Mathematics and Computer Science for Real-World Applications, Volume 4
Description
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.
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Persons
Biswadip Basu Mallik, PhD is a senior assistant professor in the Department of Basic Science and Humanities at the Institute of Engineering and Management, Kolkata, with over 23 years of teaching experience. He has over 85 publications to his credit, including eight books and several book chapters, research articles, and conference proceedings. His research interests include computational fluid dynamics, mathematical modeling, data science, and machine learning.
M. Niranjanamurthy, PhD is an assistant professor in the Department of Artificial Intelligence and Machine Learning at the Bhusanayana Mukundadas Sreenivasaiah Institute of Technology and Management. He has over 90 publications, including six books and numerous book chapters, articles, and conference proceedings.
Sharmistha Ghosh, PhD is a mathematics professor in the Department of Basic Science and Humanities at the Institute of Engineering and Management, Kolkata, with over 22 years of experience. She has published one book in addition to numerous conference proceedings and articles in international refereed journals.
Krishanu Deyasi is an associate professor in the Department of Basic Sciences and Humanities at the Institute of Engineering and Management, India. He earned his PhD from the Indian Institute of Science Education and Research, and he has postdoctoral experience from The Institute of Mathematical Sciences, India. He has written three books and has published papers in scientific journals. He is also an editor for several scientific journals.
Santanu Das is as an assistant professor in the Department of Basic Sciences and Humanities at the Institute of Engineering and Management, India. He completed his undergraduate degree from and is pursuing his doctorate from Jadavpur University.
Content
Preface xxi
1 Analysis of Medical Image Using a Multimodal Approach for Precise Cancer Detection 1
Soumen Santra, Mouparna De, Dipankar Majumdar and Surajit Mandal
2 A Review on Contemporary Advancements in Conversational AI Within the Cloud Platform 17
Srinivasa Rao Gundu, Panem Charanarur and Biswadip Basu Mallik
3 General Arrival Working Vacations Queue with Heterogeneous Servers Operating Under Triadic Policy 35
K. Jyothsna, P. Vijaya Kumar and P. Vijaya Laxmi
4 A New TOPSIS Approach Utilizing Triangular Divergence for Decision-Making in Single-Valued Neutrosophic Environment 67
Prayosi Chatterjee and Mijanur Rahaman Seikh
5 Micro Vague Generalized Semi Connectedness in Micro Vague Topological Spaces 87
Vargees Vahini T. and Trinita Pricilla M.
6 Image Retrieval Using Gaussian Mixture Model Based on Breast Cancer 101
Tamaghna Dutta and Soumen Santra
7 Diophantine Equation of Degree Two Having Four Unknowns 113
R. Sathiyapriya and M.A. Gopalan
8 Uniqueness Results to the Nonlinear Boundary Value Problems of Fourth Order 127
B. Madhubabu, N. Sreedhar and K. R. Prasad
9 Bivariate Cointegrated Model with Gamma Innovations 145
Amritha Jayaram and Nimitha John
10 Accelerated Reliability Sampling Plan Based on Transformed Lindley Distribution 163
Rini Raju and Jiju Gillariose
11 A Synopsis of Fuzzy Set Theory 177
Praphull Chhabra and Sonam Chhabra
12 Efficient Classification of Breast Cancer Diseases on Medical Images Using Deep Learning Methodology 187
Pramit Brata Chanda, Subhadip Das and Subir Kumar Sarkar
13 Low Power VLSI Architecture for 48-Bit Multiplication Using Elliptic Curve Algorithm 205
Bommi R.M., Uganya G., A. Mary Joy Kinol and Blessy Sam A.S.
14 Enhancing Cloud Computing Security Through Decimal Bond DNA Cryptography (DBDNA): A Novel Approach 221
Animesh Kairi and Tapas Bhadra
15 Fake News Detection in Healthcare Using Machine Learning 235
Tessa Hormese and R. Rajesh
16 Insights into MHD Flow of Casson Fluid Over an Exponentially Permeable Stretching Surface Using Homotopy Analysis Method 251
P. Vijaya Kumar, K. Jyothsna and S. Mohammed Ibrahim
17 Random Forest: One of the Best-Fitted ML Algorithms in Liver Disease Prediction 283
Subhas Halder, Satrajit Das, Sukanta Kundu and Hiranmoy Samanta
18 A Next-Gen Blood Donation Coordination System Empowered by MERN Stack and Machine Learning-Driven Dynamic Clustering for Intelligent Donor Identification 303
Siddhant Shaw, Mouparna De, Soumen Santra, Anirban Sarkar and Subrata Jana
19 Artificial Intelligence in Detection and Classification of Lung Cancer - An Overview 317
Sanjukta Chakraborty and Dilip Kumar Banerjee
20 Applications of Image Processing for Surface Irregularities Detection and Comparison with Nondestructive Testing Results 357
Satyabrata Podder, Arka Dasgupta and Sumana Chakraborty
21 Detection of Fraud Review Through Object Recognition for Fake Picture Component Using Machine Learning Approach 379
Ankita Chakraborty, Riya Bhunia, Soumen Santra, Anirban Sarkar, Subrata Jana and Santanu Dasgupta
22 Gas Leakage Surveillance System Leveraging Using Spartan 7 FPGA and GSM Technology 393
Piyali Saha, Biswajit Kundu and Soumya Sen
23 Realization of Health Intelligence in Industry 5.0 - A Paper on Sustainable Use of AI and Human Intelligence in Healthcare Industry 403
Anisha Naskar
24 Preference Analysis Can Be a Guide to an Inamorata to Select Her Swain 419
Subrata Jana, Anirban Sarkar, Sayantani Paul, Arpan Ghoshal, Binay Maji and Biswadip Basu Mallik
25 A Comparative Study on Various Types of Algorithms of Artificial Neural Network for Solar Still Study: A Review 437
Jayanta Chanda and Mrinal Kanti Manik
26 Arduino-Based Detector of Alcohol-Impaired Drivers to Auto-Lock the Engine for Road Safety Applications 457
Arindum Das, Bidisha Karmakar, Shaswati Roy, Tejaswita Kumari and Atanu Chowdhury
27 Thematic Analysis for Text Review Detection Using Machine Learning 469
Riya Bhunia, Ankita Chakraborty, Soumen Santra, Anirban Sarkar, Subrata Jana and Santanu Dasgupta
28 Artificial Intelligence Enabled Non-Destructive Testing and Engineering 483
Satyabrata Podder, Arka Dasgupta and Biswajit Bhattachary
29 Increasing Crop Productivity with Machine Learning Models 495
Priya Yadav
30 Wavelets and Their Recent Applications 505
Jamkhongam Touthang
31 Detection and Forecasting of Dengue Fever Using Data Mining Techniques 539
Kousik Bhattacharya, Anirban Das and Dilip K. Banerjee
32 Image Classification Using CNN for the Detection of Cancer Cells to Avoid Metastasis 563
Soumen Santra, Rohan Chakraborty, Dipankar Majumdar and Surajit Mandal
33 Revolutionizing Industries: Addressing Challenges and Innovations from Industry 4.0 to Industry 5.0 573
Moutusi Mondal and Mauparna Nandan
34 Portfolio Optimization Using Genetic Algorithm 591
S. Sowmya, Rhimjhim Daftary, Soumya Banerjee and Abhishikta Basak
About the Editors 601
Index 603
