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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Tillämpad matematik

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

    AvBiswadip Basu Mallik,M. Niranjanamurthy

    Inbunden, Engelska, 2025

    2 637 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2025-06-25
    • Vikt:1 134 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:640
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394275328

    Utforska kategorier

    • Tillämpad matematik inom Naturvetenskap och teknik

    Mer om författaren

    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.

    Innehållsförteckning

    • Preface xxi1 Analysis of Medical Image Using a Multimodal Approach for Precise Cancer Detection 1Soumen Santra, Mouparna De, Dipankar Majumdar and Surajit Mandal2 A Review on Contemporary Advancements in Conversational AI Within the Cloud Platform 17Srinivasa Rao Gundu, Panem Charanarur and Biswadip Basu Mallik3 General Arrival Working Vacations Queue with Heterogeneous Servers Operating Under Triadic Policy 35K. Jyothsna, P. Vijaya Kumar and P. Vijaya Laxmi4 A New TOPSIS Approach Utilizing Triangular Divergence for Decision-Making in Single-Valued Neutrosophic Environment 67Prayosi Chatterjee and Mijanur Rahaman Seikh5 Micro Vague Generalized Semi Connectedness in Micro Vague Topological Spaces 87Vargees Vahini T. and Trinita Pricilla M.6 Image Retrieval Using Gaussian Mixture Model Based on Breast Cancer 101Tamaghna Dutta and Soumen Santra7 Diophantine Equation of Degree Two Having Four Unknowns 113R. Sathiyapriya and M.A. Gopalan8 Uniqueness Results to the Nonlinear Boundary Value Problems of Fourth Order 127B. Madhubabu, N. Sreedhar and K. R. Prasad9 Bivariate Cointegrated Model with Gamma Innovations 145Amritha Jayaram and Nimitha John10 Accelerated Reliability Sampling Plan Based on Transformed Lindley Distribution 163Rini Raju and Jiju Gillariose11 A Synopsis of Fuzzy Set Theory 177Praphull Chhabra and Sonam Chhabra12 Efficient Classification of Breast Cancer Diseases on Medical Images Using Deep Learning Methodology 187Pramit Brata Chanda, Subhadip Das and Subir Kumar Sarkar13 Low Power VLSI Architecture for 48-Bit Multiplication Using Elliptic Curve Algorithm 205Bommi 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 221Animesh Kairi and Tapas Bhadra15 Fake News Detection in Healthcare Using Machine Learning 235Tessa Hormese and R. Rajesh16 Insights into MHD Flow of Casson Fluid Over an Exponentially Permeable Stretching Surface Using Homotopy Analysis Method 251P. Vijaya Kumar, K. Jyothsna and S. Mohammed Ibrahim17 Random Forest: One of the Best-Fitted ML Algorithms in Liver Disease Prediction 283Subhas Halder, Satrajit Das, Sukanta Kundu and Hiranmoy Samanta18 A Next-Gen Blood Donation Coordination System Empowered by MERN Stack and Machine Learning-Driven Dynamic Clustering for Intelligent Donor Identification 303Siddhant Shaw, Mouparna De, Soumen Santra, Anirban Sarkar and Subrata Jana19 Artificial Intelligence in Detection and Classification of Lung Cancer - An Overview 317Sanjukta Chakraborty and Dilip Kumar Banerjee20 Applications of Image Processing for Surface Irregularities Detection and Comparison with Nondestructive Testing Results 357Satyabrata Podder, Arka Dasgupta and Sumana Chakraborty21 Detection of Fraud Review Through Object Recognition for Fake Picture Component Using Machine Learning Approach 379Ankita Chakraborty, Riya Bhunia, Soumen Santra, Anirban Sarkar, Subrata Jana and Santanu Dasgupta22 Gas Leakage Surveillance System Leveraging Using Spartan 7 FPGA and GSM Technology 393Piyali Saha, Biswajit Kundu and Soumya Sen23 Realization of Health Intelligence in Industry 5.0 - A Paper on Sustainable Use of AI and Human Intelligence in Healthcare Industry 403Anisha Naskar24 Preference Analysis Can Be a Guide to an Inamorata to Select Her Swain 419Subrata Jana, Anirban Sarkar, Sayantani Paul, Arpan Ghoshal, Binay Maji and Biswadip Basu Mallik25 A Comparative Study on Various Types of Algorithms of Artificial Neural Network for Solar Still Study: A Review 437Jayanta Chanda and Mrinal Kanti Manik26 Arduino-Based Detector of Alcohol-Impaired Drivers to Auto-Lock the Engine for Road Safety Applications 457Arindum Das, Bidisha Karmakar, Shaswati Roy, Tejaswita Kumari and Atanu Chowdhury27 Thematic Analysis for Text Review Detection Using Machine Learning 469Riya Bhunia, Ankita Chakraborty, Soumen Santra, Anirban Sarkar, Subrata Jana and Santanu Dasgupta28 Artificial Intelligence Enabled Non-Destructive Testing and Engineering 483Satyabrata Podder, Arka Dasgupta and Biswajit Bhattachary29 Increasing Crop Productivity with Machine Learning Models 495Priya Yadav30 Wavelets and Their Recent Applications 505Jamkhongam Touthang31 Detection and Forecasting of Dengue Fever Using Data Mining Techniques 539Kousik Bhattacharya, Anirban Das and Dilip K. Banerjee32 Image Classification Using CNN for the Detection of Cancer Cells to Avoid Metastasis 563Soumen Santra, Rohan Chakraborty, Dipankar Majumdar and Surajit Mandal33 Revolutionizing Industries: Addressing Challenges and Innovations from Industry 4.0 to Industry 5.0 573Moutusi Mondal and Mauparna Nandan34 Portfolio Optimization Using Genetic Algorithm 591S. Sowmya, Rhimjhim Daftary, Soumya Banerjee and Abhishikta BasakAbout the Editors 601Index 603