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.

• Preface xviiPramod Singh RATHORE, Abhishek KUMAR, Priya BATTA and Inam UL HAQIntroduction xixPramod Singh RATHORE, Abhishek KUMAR, Priya BATTA and Inam UL HAQChapter 1 Convolutional Neural Networks with Recurrent Layers for Network Intrusion Classification Using NSL-KDD Dataset 1Ch Srinivasa RAO, P TEJASWINI, Shaik MAHEEN, R LIKITHA, R SAHITHYA and Pranathi URADI REDDYChapter 2 Spectral Graph Convolutional Networks for IoT Device Clustering and Anomalous Node Detection in Complex Network Topologies 13R VANAJA, L MANJULA, K RAMACHANDRAN, T.R.K KUMAR, S Leoni SHARMILA and R BALAPRIYAChapter 3 Graph Intelligence-enhanced Quantum-Inspired Hybrid Algorithms for Black–Litterman Portfolio Optimization with Value-at-Risk Constraints 25Srinivas YADLAPATY, G SHRINITHA, G AKSHAYA, G NANDINI, Erukulla SATHWIKA and A Vedha PRIYAChapter 4 Graph Intelligence-Assisted Variational Autoencoders and Monte Carlo Simulations for Financial Risk Assessment in the Quantum Computing Era 39Ekbal RASHID, B MEGHANA, D Sri VARSHINI, Dasari HARINI, Chede RETHASVI and Cherala HARSHINIChapter 5 Auto-Regressive Integrated Moving Average (ARIMA) with Exogenous Variables and Fourier Features for Stock Volatility Prediction in Graph-Based Financial Networks 55Mamilla MAHESWARI, Jerripothula CHAITHANYA, Gangadhari SWETHA, Kucharlapati VARSHITHA, G Navya ANJALI and Maridi HARSHINIChapter 6 Geometric Brownian Motion and Cox–Ingersoll–Ross Models: Jump-Diffusion Processes in Graph-based Queueing Theory for Network Performance Analysis 69Shivani S BHASGI, G MEGHANA, G ABHINAYA, G MANVITHA, Chinta SAMATHA and A SANDHYAChapter 7 Enhancing Financial Fraud Detection by Leveraging Llama2 NLP and Neo4j Graph Database for Contextual Analysis and Relationship Modeling 85Sakthitharan SUBRAMANIAN, Karan Veer BHANDARI and Mayank KAMBOJChapter 8 Digital Finance and Financial Inclusion in India: Opportunities and Challenges 103D GNYANESWER, Kasaram MANASA and B Mohan KUMARChapter 9 Graph Intelligence-driven Early Risk Prediction in Autistic Children Using Multimodal Neuroimaging (fMRI, sMRI and EEG) 125P.M.G JEGATHAMBAL and P Sheela GOWRChapter 10 Susceptible–Infected–Recovered (SIR) Models with Stochastic Differential Equations: Parameter Estimation via Kalman Filtering for Graph-based Epidemic Spread Analysis 139Sumaiya SAMREEN, Dodda VISHALI, Elakoti VAISHNAVI, A SRIHTIHA, Gogulamudi RENU and A Silvia JASMINEChapter 11 Distributed MapReduce and RDD Abstractions in Apache Spark: Scalable Graph Processing for Petabyte-Scale Datasets 153MAHITHA, Paloju ABHINAYA, Thotla MANISHA, Swarna SREEMAYI, T VARSHITHA and Thippani HARPITHAChapter 12 Beam Processing with Watermarking and Windowing Strategies in Apache Flink for Unbounded Stream Analysis 169Manish Kumar SINHA, Rishita GANOLIYA, Yadlapalli SNEHITHA, Yarram NEHA, Suma Sri PALOJI and Shetti NITHISHAChapter 13 PageRank Algorithm Enhanced with Spectral Graph Theory for Multi-Layer Network Optimization in 5G Infrastructure 185Shivani S BHASGI, Dodle AKSHAYA, Bhuvana Sri ADDAGATLA, Harsha Vardhani ADULA, Christina Charis RENTAPALLA and D KEERTHANAChapter 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 201K RAMACHANDRAN, T.R.K KUMAR, S Leoni SHARMILA, R BALAPRIYA, R VANAJA and L MANJULAChapter 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 217T.R.K KUMAR, S Leoni SHARMILA, R BALAPRIYA, R VANAJA, L MANJULA and K RAMACHANDRANChapter 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 233R BALAPRIYA, R VANAJA, L MANJULA, K RAMACHANDRAN, T.R.K KUMAR and S Leoni SHARMILAChapter 17 Graph Intelligence-enabled Precision Agriculture: Advanced Disease Detection System for Sugarcane Crops Using Intelligent Image Processing 245Deepak Kumar PANT, Sameer Dev SHARMA, Deepak KUMAR and Aagman KAPARWANList of Authors 263Index 271