book

Mathematical Methods in Artificial Intelligence

Name: Mathematical Methods in Artificial Intelligence
ISBN: 9783112221327

by Abhishek Kumar, Reyes Juárez Ramírez, Maria Angeles Quezada, Dhaya Chinnathambi

May 2026

Intermediate

619 pages

19h 18m

English

De Gruyter

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Frontmatter
Contents
Theme 1: Algorithm Optimization
Theme 1: Algorithm OptimizationA. Jayanthi, K. Prasanna Kumar, R. Sivaranjani, A. Nivetha, B. Abinaya, Saahira Banu Ahamed Adaptive AI Models for Energy Optimization Through User Behavior Analysis1 Introduction2 Related Works3 Methodology of the Proposed AI Model4 Results and Discussion5 ConclusionG. Sekar, M. Ezhilvendan, P. Sanjay, K. Ajith, M. Serinraj, G. Rahul Mathematical Modeling-Based Optimization for Regulating Overcrowding in Unreserved Rail Coaches Using Capacity-Constrained Ticketing Algorithms1 Introduction2 Literature Survey3 Methodology of the Proposed System4 Analysis of Results and Discussion5 ConclusionN. Legapriyadharshini, S. Nanthini, J. Rebekah, D. Lissy, G. Mothilal Nehru, V. Sheeja Kumari AI for Financial Risk Management: Combining CatBoost and Genetic Algorithms for Portfolio Optimization1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionN. Legapriyadharshini, S. Nanthini, T. Veeramakali, A. Seethalakshmy, C. Govindasamy, V. Sheeja Kumari Optimizing Transportation Systems in Smart Cities with Support Vector Machines (SVMs) and Particle Swarm Optimization1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionN. Legapriyadharshini, S. Nanthini, R. Parameswari, P. Kalarani, R. Vijayalakshmi, M. Rajasekar Predictive Maintenance in Smart Systems with Temporal Convolutional Networks (TCN) and Autoencoders1 Introduction2 Literature Review3 Proposed Methodology4 Results5 ConclusionR. M. Bommi, G. Uganya, V. Jacintha, A. Mary Joy Kinol Cascade Forward Backpropagation Neural Networks for Precise Surface Roughness Prediction in Monel 400 Machining1 Introduction2 Materials and Methods3 Cascade-Forward Backpropagation Neural Network (CFBNN)4 Results and Discussion5 ConclusionS. Yazhinian, J. Jasmine Margret, S. Famila, Kandukuri Geetha, Sarala Raghavendra Corn Seed Sorting for Production Maintenance Using Metaheruistic Optimized Neural Networks1 Introduction2 Related Works3 Proposed Methodology4 Performance AnalysisS. Famila, R. Srivel, S. Yazhinian, Kandukuri Geetha, K. Sudha Pavani, Shanmugasundaram Hariharan Sorting Corn Seeds Using Metaheruistic Optimal Neural Networks for Production Maintenance1 Introduction2 Related Works3 Proposed Techniques4 Performance AnalysisR. Pichailakshmi Advanced Optimization of Load Balancing in Distributed Cloud Systems Using Star Cocoloring Techniques1 Introduction2 Star Cocoloring: Definitions and Illustrations3 Refined Approach to Load Balancing Using Star Cocoloring4 Mathematical Formulation of Load Balancing Using Star Cocoloring5 Load Balancing Constraints Using (k, l, r)-s-Coloring6 Real-Time Dynamic Task Reallocation Using Integer Linear Programming (ILP)7 ConclusionK. P. Senthilkumar, E. Anbalagan MFO_LK_MLP: Moth Flame Optimized Lattice Kohonen Multiple Layer Perceptron Neural Network-Based Cell Imbalance Prediction Among Autonomous Vehicles for Effective Battery Management1 Introduction2 Related Works3 Proposed Methodology4 Performance Analysis5 ConclusionT. N. Charanya, R. V. Raveena, S. Gnanamalar, S. Narmatha Mathematical Modeling and Optimization of AI-Driven Hostel Allocation Systems for Smart Accommodation Management1 Introduction2 Literature Review3 Proposed Methodology4 System Architecture5 Results and Discussion6 Conclusion7 Future EnhancementA. R. Kavitha, V. Ramachandran, A. Arun Kumar, R. Naveen, S. Nanditha Optimized Online Service Booking Portal Enhanced with Artificial Intelligence and Mathematical Modeling1 Introduction2 Literature Survey3 Proposed System Methodology4 Results and Discussion5 Future Enhancement6 ConclusionSuganya Subramaniam, S. K. Muthusundar, A. Ankit Prajapathi, A. P. Karmukilan, S. R. Shankar A Quantitative Modeling Approach to AI-Integrated Smart Trip Planning with Real-Time Route Optimization and Cost Minimization1 Introduction2 Literature Review3 Suggested Methodology4 Implementation and Results5 ConclusionA. Marimuthu, R. Balachander, K. R. Sanjay, A. Praveen Balaji, N. Aathiswaran Mathematical Modeling and AI-Driven Optimization of Blood Bank Management Systems Using Real-Time Analytics and Predictive Matching1 Introduction2 Proposed Methodology3 Results and Analysis4 ConclusionS. H. Annie Silviya, K. Jagadeesh, S. Chandrakala, B. Sriman, M. Dhivya A Mathematical Approach Polygonal Models and Their Applications in Image Processing1 Introduction2 Literature Review3 Methodology4 Results and Discussion5 ConclusionMatta Vineela, R. Durga Rao Deep Learning-Based Real-Time Energy Distribution Optimization for Hybrid Energy Storage Systems in Electric Vehicles1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionA. Suganya, C. R. Rene Robin Enhancing Early Prediction of Gestational Diabetes Mellitus Using Advanced Machine Learning and Feature Optimization Techniques1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionPatan Yejdani Khan, M. Syed Masood Optimizing Pre-owned Car Valuation with SVR, XGBoost, KNN, and ANN Models1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionS. Rukmani Devi, P. Selvaraju, R. Padma, A. G. Balamurugan, T. Pandiarajan, M. Rajasekar Data Science Applications Using Extreme Gradient Boosting (XGBoost) and Random Forest for Predictive Analytics in Financial Sectors1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionMarni Tarun Sandeep, Metta Shanmukh Sai Santhosh, Chinni Gnana Prasunna, Potnuru Ritish, Lenna Arya Developing Continuous Integration/Continuous Deployment for Microservices Architecture Using DevOps1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionOggu Venkata Sai Sree Ganesh, Md Ahamed Mustak, Yerva Kanaka MahaLakshmi, Ganchi Priya Kumari, Bandi Prameela Rani Real-Time Inventory Management System for Retail Chains: A Data-Driven Approach1 Introduction2 Related Works3 Methodology4 Experiments and Results5 ConclusionSree Vardhan Sai Kurra, Addanki Lakshmi Sai Rohith, Rapolu Chandra Mahesh Babu, Manepalli Kavya Sri, B. Prameela Rani Automated Software Deployment System with Integrated Testing Pipelines1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionAmrutha Varshini Mannava, Kakumanu Venkata Sai Keerthi Priyanka, Vegesna Kumar Durga Abhirama Raju, Penumala Lavenia, B. Prameela Rani A Novel DevOps Monitoring and Incident Response System: Methodology and Performance Evaluation1 Introduction2 Related Works3 Methodology4 Results5 ConclusionS. H. Annie Silviya, N. Mohana Suganthi, M. Dhivya, Ramaprabha Marimuthu, B. Sriman AI-Enabled Data-Driven Decision Support Systems for Corporate Management1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionJ. Sulthan Alikhan, B. Sriman, R. Jeyarani, E. Venitha, B. Saratha Deep Learning Applications in Predictive Analytics for Business Management1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionN. Legapriyadharshini, S. Nanthini, A. Akila, A. Suganya, N. Nisha, V. Sheeja Kumari Machine Learning in Smart Cities: Leveraging Particle Swarm Optimization (PSO) and Decision Trees for Urban Development Planning1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionS. Rukmani Devi, P. Selvaraju, R. Ramprasad, S. Meenakshi, C. Govindasamy, M. Rajasekar Smart Systems Powered by K-Nearest Neighbors (KNN) and Bidirectional LSTMs for Real-Time Data Processing1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionAmir Teymourian, Amit Kohli AI-Powered Disaster Management in Smart Cities Using YOLOv5 and Ant Colony Optimization (ACO)1 Introduction2 Literature Review3 Methodology4 Results5 Conclusion
Theme 2: Blockchain
Theme 2: BlockchainN. Legapriyadharshini, P. Kalarani, S. Parveen Banu, C. Sathiyamoorthy, R. M. Sivagamasundari, S. Anuradha Blockchain-Driven Data Mining in Federated Learning Environments Enhancing Privacy and Security1 Introduction2 Literature Review3 Methodology4 Results and Evaluation5 ConclusionD. Padmapriya, J. Maria Arokia Dass, C. Sathiyamoorthy, S. Parveen Banu, P. T. Listin, A. Jesu Kulandairaj Leveraging Blockchain for Secure and Transparent Federated Learning in Data Mining Applications1 Introduction2 Objectives3 Scope4 Literature Review5 Methodology6 Results7 Experimental Setup8 Summary of Observations9 ConclusionD. Padmapriya, S. Kalaiselvan, C. Sathiyamoorthy, A. Jesu Kulandairaj, P. T Listin, S. Parveen Banu A Decentralized Approach to Data Mining: Integrating Blockchain with Federated Learning1 Introduction2 Literature Review3 Methodology4 Results and Discussion5 ConclusionN. Legapriyadharshini, Seethalakshmi Ramasamy, C. Sathiyamoorthy, Parveen Banu S, S. Anuradha, R. M. Sivagamasundari Optimizing Data Mining Processes with Blockchain-Enabled Federated Learning1 Introduction2 Literature Review3 Methodology4 Results and Discussion5 ConclusionN. Legapriyadharshini, A. Arul Oli, S. Parveen Banu, C. Sathiyamoorthy, P. T. Listin, A. Jesu Kulandairaj Federated Learning and Blockchain: Synergizing Privacy-Preserving Data Mining Techniques1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionB. Sriman, A. Naveen Kumar, G. Abhinay, K. Harshanth Varma Decentralized Identity Security System Using Blockchain1 Introduction2 Related Works3 Existing System4 Results and Discussion5 Conclusion
Theme 3: Cryptography
Theme 3: CryptographyC. Kanmani Pappa, N. Ashok Kumar, Kabilamani, C. Venkataramanan, K. P. Porkodi, P. Nagaraja Digital Rights Management System with RC4-2S Encryption Technique1 Introduction2 Methodology3 ConclusionShashank D. Biradar, Sanjay L. Nalbalwar, Shankar B. Deosarkar Adaptive Correlative Approach for Enhanced Biometric Security Using EEG Signal Interface1 Introduction2 Spectral Domain EEG Signal Processing for Biometric Security3 Adaptive Intercorrelative Approach (IntrCA)4 Simulation Results5 Conclusion
Theme 4: Cybersecurity
Theme 4: CybersecurityC. Dhaya, Fitri Yakub, R. Dhanalakshmi, Namin Sri Nandhan, Anne Anoop, Khalid Hasan Alsinjlawi Firewall-Z: Leveraging AI Mathematical Modeling for Real-Time Threat Detection1 Introduction2 Literature Survey3 Methodology of Proposed System4 Results and Discussion5 ConclusionG. Uganya, V. Jacintha, A. Mary Joy Kinol, R. M. Bommi Intelligent Cyber Threat Detection Using Deep Neural Networks with PSO Optimization1 Introduction2 Related Works3 Proposed Method4 Results and Discussion5 ConclusionJ. Uma, R. Balachander, A. R. Kavitha, J. Abishua Bezalel Raj, S. Arulkarthik, V. M. Thejashree A Mathematical Modeling Approach to AI-Driven Threat Detection Using Cloud-Based Honeypots1 Introduction2 Literature Review3 Methodology of Existing System4 Methodology of Proposed System5 Results and Discussion6 ConclusionD. Venkata Srihari Babu, T. Sarath Babu, Ravikanth Garladinne, T. Shekar Reddy, J. Rajeshwar Next-Generation Network Data Security: Advanced Threat Detection, Encryption Techniques, and AI-Driven Cyber Defense Mechanisms for Safeguarding Digital Infrastructures1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionB. Hemantha Kumar, Srikanth Nalluri An Intelligent Deep Learning-Based Adaptive Framework for Multilayered Intrusion Detection and Threat Mitigation in Modern Information Security Architectures1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionP. Gajalakshmi, N. Porchelvi, S. Akshya, R. Kaviya, R. Rithika Application-Driven Criminal Investigation Uncovering Reports and Discoveries1 Introduction2 Literature Survey3 Methodology of Proposed System4 Results and Discussion5 ConclusionSakthitharan Subramanian, Daksh Pandya, Vidit Thakur Streamlining Network Security: A Convolutional Neural Network-Based System for Real-Time SIP Signal Analysis and Attack Detection1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionIbrahim Zalah, Mohammed Abdul Matheen Privacy-Preserving Federated Deep Learning for Emotion and Engagement Analytics in Smart Classrooms1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionT. P. Sreedevi, V. Harsha Shastri Fortifying Cyber-Physical Systems: Current Trends and Future Directions in Security Algorithms1 Introduction to Cyber-Physical Systems (CPS) and Security Challenges2 Literature Review3 Research Gaps4 Mathematical Equations4 Methodology: HyBE-Sec – A Hybrid Blockchain-Edge-AI Framework for CPS Security5 Results and Discussion6 ConclusionNunna Vamsi, Y. Hruthvik Reddy, S. Praveen Kumar, Vikram Sindhu Data Anonymization Using Pseudonym System to Preserve Data Privacy1 Introduction2 Literature Review3 Methodology4 Results5 ConclusionN. K. Senthil Kumar, G. Sruthi, Ch. Venkata Sriram, P. Sonu Advance Real-Time System for Criminal Identification Using Facial Recognition1 Introduction2 Existing System3 Related Works4 Proposed System5 Mathematical Formula6 Implementation7 ConclusionT. Vijayanandh, N. K. Senthilkumar, K. Subramanian, G. Sekar Crime Scene Anomaly Prediction Using Generative Adversarial Networks1 Introduction2 Related Work3 Proposed Method: GAN4 Results and Discussion5 Conclusion

Overview

The series is aimed specifically at publishing peer-reviewed reviews and contributions presented at conferences, workshops, and international seminars as well as edited volumes commemorating and honoring significant achievements by mathematicians. This content covers various topics within pure and applied mathematics and provides up-to-date coverage of new developments, methods, and applications.

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