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Preface xvii Introduction xix Chapter 1 Convolutional Neural Networks with Recurrent Layers for Network Intrusion Classification Using NSL-KDD Dataset 1 Chapter 2 Spectral Graph Convolutional Networks for IoT Device Clustering and Anomalous Node Detection in Complex Network Topologies 13 Chapter 3 Graph Intelligence-enhanced Quantum-Inspired Hybrid Algorithms for Black–Litterman Portfolio Optimization with Value-at-Risk Constraints 25 Chapter 4 Graph Intelligence-Assisted Variational Autoencoders and Monte Carlo Simulations for Financial Risk Assessment in the Quantum Computing Era 39 Chapter 5 Auto-Regressive Integrated Moving Average (ARIMA) with Exogenous Variables and Fourier Features for Stock Volatility Prediction in Graph-Based Financial Networks 55 Chapter 6 Geometric Brownian Motion and Cox–Ingersoll–Ross Models: Jump-Diffusion Processes in Graph-based Queueing Theory for Network Performance Analysis 69 Chapter 7 Enhancing Financial Fraud Detection by Leveraging Llama2 NLP and Neo4j Graph Database for Contextual Analysis and Relationship Modeling 85 Chapter 8 Digital Finance and Financial Inclusion in India: Opportunities and Challenges 103 Chapter 9 Graph Intelligence-driven Early Risk Prediction in Autistic Children Using Multimodal Neuroimaging (fMRI, sMRI and EEG) 125 Chapter 10 Susceptible–Infected–Recovered (SIR) Models with Stochastic Differential Equations: Parameter Estimation via Kalman Filtering for Graph-based Epidemic Spread Analysis 139 Chapter 11 Distributed MapReduce and RDD Abstractions in Apache Spark: Scalable Graph Processing for Petabyte-Scale Datasets 153 Chapter 12 Beam Processing with Watermarking and Windowing Strategies in Apache Flink for Unbounded Stream Analysis 169 Chapter 13 PageRank Algorithm Enhanced with Spectral Graph Theory for Multi-Layer Network Optimization in 5G Infrastructure 185 Chapter 14 Graph Intelligence-enabled AI-driven Multiscale Computational Fluid Dynamics Framework for Predicting Heat and Mass Transfer in Microfluidic Channels Using Hybrid Nano-enhanced Fluids Under Transient Flow Conditions 201 Chapter 15 AI-enabled Prediction and Inverse Design of Micro-Nano Scale Convective Heat and Mass Transfer Using Physics-informed Neural Networks Integrated with High-Fidelity Nanofluid CFD Simulations 217 Chapter 16 Intelligent CFD–AI Hybrid Modeling of Multiphase Nanofluid Dynamics in Microfluidic Devices for Ultra-efficient Thermal Management, Energy Harvesting and Advanced Bio-thermal Applications 233 Chapter 17 Graph Intelligence-enabled Precision Agriculture: Advanced Disease Detection System for Sugarcane Crops Using Intelligent Image Processing 245 List of Authors 263 |
Pramod Singh Rathore is an Assistant Professor at Manipal University Jaipur, India. His expertise includes NS2, networks, data mining and DBMS.
Abhishek Kumar is a Professor at Chandigarh University, India. His expertise includes AI, renewable energy and image processing.
Priya Batta is an Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her expertise includes AI, blockchain and IoT.
Inam Ul Haq is an Assistant Professor at the School of Engineering and Technology (SET), CGC University Mohali, Punjab, India. His expertise includes AI, machine learning and quantum computing.