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Smart Systems Powered by K-Nearest Neighbors (KNN) and Bidirectional LSTMs for Real-Time Data Processing

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Mathematical Methods in Artificial Intelligence
This chapter is in the book Mathematical Methods in Artificial Intelligence

Abstract

Growing demands for smart and sensitive systems in industries such as healthcare, finance, and smart infrastructure have imposed growing demands on efficient means of real-time data processing. The paper suggests the adoption of a hybrid intelligent system through the marriage of K-nearest neighbors (KNN) and bidirectional long short-term memory (BiLSTM) networks as a means of enabling enhanced performance of classification in the management of dynamic contexts of data. The method is the combination of preprocessing and normalization of real-time streaming data, context-relevant temporal feature extraction, and utilization of a BiLSTM sequence learning and subsequent KNN-based classification layer. The two-model approach combines the low-latency characteristics of KNN with temporal feature awareness provided by BiLSTM to give high-accuracy, low-latency decisions. Experimental results demonstrate that the proposed hybrid model is superior to independent models in possessing a 94.7% classification and 0.93 F1 value with the identical latency measure of 42 ms, but also within reasonable thresholds for practical employment in real-time applications. Importance-based analysis involving XGBoost and random forest indicates that temporal frequency and intensity of signal are the dominant features affecting model responses. Confusion matrix metrics also estimate the system reliability with hardly any false classification. The outcomes reveal that the KNN-BiLSTM hybrid model is a scalable and efficient solution for smart systems in real-time awareness of data.

Abstract

Growing demands for smart and sensitive systems in industries such as healthcare, finance, and smart infrastructure have imposed growing demands on efficient means of real-time data processing. The paper suggests the adoption of a hybrid intelligent system through the marriage of K-nearest neighbors (KNN) and bidirectional long short-term memory (BiLSTM) networks as a means of enabling enhanced performance of classification in the management of dynamic contexts of data. The method is the combination of preprocessing and normalization of real-time streaming data, context-relevant temporal feature extraction, and utilization of a BiLSTM sequence learning and subsequent KNN-based classification layer. The two-model approach combines the low-latency characteristics of KNN with temporal feature awareness provided by BiLSTM to give high-accuracy, low-latency decisions. Experimental results demonstrate that the proposed hybrid model is superior to independent models in possessing a 94.7% classification and 0.93 F1 value with the identical latency measure of 42 ms, but also within reasonable thresholds for practical employment in real-time applications. Importance-based analysis involving XGBoost and random forest indicates that temporal frequency and intensity of signal are the dominant features affecting model responses. Confusion matrix metrics also estimate the system reliability with hardly any false classification. The outcomes reveal that the KNN-BiLSTM hybrid model is a scalable and efficient solution for smart systems in real-time awareness of data.

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. Theme 1: Algorithm Optimization
  4. Theme 1: Algorithm Optimization 1
  5. Adaptive AI Models for Energy Optimization Through User Behavior Analysis 5
  6. Mathematical Modeling-Based Optimization for Regulating Overcrowding in Unreserved Rail Coaches Using Capacity-Constrained Ticketing Algorithms 13
  7. AI for Financial Risk Management: Combining CatBoost and Genetic Algorithms for Portfolio Optimization 23
  8. Optimizing Transportation Systems in Smart Cities with Support Vector Machines (SVMs) and Particle Swarm Optimization 35
  9. Predictive Maintenance in Smart Systems with Temporal Convolutional Networks (TCN) and Autoencoders 49
  10. Cascade Forward Backpropagation Neural Networks for Precise Surface Roughness Prediction in Monel 400 Machining 63
  11. Corn Seed Sorting for Production Maintenance Using Metaheruistic Optimized Neural Networks 73
  12. Sorting Corn Seeds Using Metaheruistic Optimal Neural Networks for Production Maintenance 85
  13. Advanced Optimization of Load Balancing in Distributed Cloud Systems Using Star Cocoloring Techniques 95
  14. MFO_LK_MLP: Moth Flame Optimized Lattice Kohonen Multiple Layer Perceptron Neural Network-Based Cell Imbalance Prediction Among Autonomous Vehicles for Effective Battery Management 103
  15. Mathematical Modeling and Optimization of AI-Driven Hostel Allocation Systems for Smart Accommodation Management 117
  16. Optimized Online Service Booking Portal Enhanced with Artificial Intelligence and Mathematical Modeling 131
  17. A Quantitative Modeling Approach to AI-Integrated Smart Trip Planning with Real-Time Route Optimization and Cost Minimization 145
  18. Mathematical Modeling and AI-Driven Optimization of Blood Bank Management Systems Using Real-Time Analytics and Predictive Matching 157
  19. A Mathematical Approach Polygonal Models and Their Applications in Image Processing 169
  20. Deep Learning-Based Real-Time Energy Distribution Optimization for Hybrid Energy Storage Systems in Electric Vehicles 183
  21. Enhancing Early Prediction of Gestational Diabetes Mellitus Using Advanced Machine Learning and Feature Optimization Techniques 195
  22. Optimizing Pre-owned Car Valuation with SVR, XGBoost, KNN, and ANN Models 209
  23. Data Science Applications Using Extreme Gradient Boosting (XGBoost) and Random Forest for Predictive Analytics in Financial Sectors 223
  24. Developing Continuous Integration/Continuous Deployment for Microservices Architecture Using DevOps 235
  25. Real-Time Inventory Management System for Retail Chains: A Data-Driven Approach 247
  26. Automated Software Deployment System with Integrated Testing Pipelines 261
  27. A Novel DevOps Monitoring and Incident Response System: Methodology and Performance Evaluation 275
  28. AI-Enabled Data-Driven Decision Support Systems for Corporate Management 289
  29. Deep Learning Applications in Predictive Analytics for Business Management 303
  30. Machine Learning in Smart Cities: Leveraging Particle Swarm Optimization (PSO) and Decision Trees for Urban Development Planning 317
  31. Smart Systems Powered by K-Nearest Neighbors (KNN) and Bidirectional LSTMs for Real-Time Data Processing 329
  32. AI-Powered Disaster Management in Smart Cities Using YOLOv5 and Ant Colony Optimization (ACO) 341
  33. Theme 2: Blockchain
  34. Theme 2: Blockchain 353
  35. Blockchain-Driven Data Mining in Federated Learning Environments Enhancing Privacy and Security 357
  36. Leveraging Blockchain for Secure and Transparent Federated Learning in Data Mining Applications 371
  37. A Decentralized Approach to Data Mining: Integrating Blockchain with Federated Learning 385
  38. Optimizing Data Mining Processes with Blockchain-Enabled Federated Learning 399
  39. Federated Learning and Blockchain: Synergizing Privacy-Preserving Data Mining Techniques 413
  40. Decentralized Identity Security System Using Blockchain 427
  41. Theme 3: Cryptography
  42. Theme 3: Cryptography 437
  43. Digital Rights Management System with RC4-2S Encryption Technique 441
  44. Adaptive Correlative Approach for Enhanced Biometric Security Using EEG Signal Interface 453
  45. Theme 4: Cybersecurity
  46. Theme 4: Cybersecurity 465
  47. Firewall-Z: Leveraging AI Mathematical Modeling for Real-Time Threat Detection 469
  48. Intelligent Cyber Threat Detection Using Deep Neural Networks with PSO Optimization 479
  49. A Mathematical Modeling Approach to AI-Driven Threat Detection Using Cloud-Based Honeypots 493
  50. Next-Generation Network Data Security: Advanced Threat Detection, Encryption Techniques, and AI-Driven Cyber Defense Mechanisms for Safeguarding Digital Infrastructures 507
  51. An Intelligent Deep Learning-Based Adaptive Framework for Multilayered Intrusion Detection and Threat Mitigation in Modern Information Security Architectures 523
  52. Application-Driven Criminal Investigation Uncovering Reports and Discoveries 535
  53. Streamlining Network Security: A Convolutional Neural Network-Based System for Real-Time SIP Signal Analysis and Attack Detection 545
  54. Privacy-Preserving Federated Deep Learning for Emotion and Engagement Analytics in Smart Classrooms 557
  55. Fortifying Cyber-Physical Systems: Current Trends and Future Directions in Security Algorithms 569
  56. Data Anonymization Using Pseudonym System to Preserve Data Privacy 581
  57. Advance Real-Time System for Criminal Identification Using Facial Recognition 593
  58. Crime Scene Anomaly Prediction Using Generative Adversarial Networks 603
https://doi.org/10.1515/9783112221082-028

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. Theme 1: Algorithm Optimization
  4. Theme 1: Algorithm Optimization 1
  5. Adaptive AI Models for Energy Optimization Through User Behavior Analysis 5
  6. Mathematical Modeling-Based Optimization for Regulating Overcrowding in Unreserved Rail Coaches Using Capacity-Constrained Ticketing Algorithms 13
  7. AI for Financial Risk Management: Combining CatBoost and Genetic Algorithms for Portfolio Optimization 23
  8. Optimizing Transportation Systems in Smart Cities with Support Vector Machines (SVMs) and Particle Swarm Optimization 35
  9. Predictive Maintenance in Smart Systems with Temporal Convolutional Networks (TCN) and Autoencoders 49
  10. Cascade Forward Backpropagation Neural Networks for Precise Surface Roughness Prediction in Monel 400 Machining 63
  11. Corn Seed Sorting for Production Maintenance Using Metaheruistic Optimized Neural Networks 73
  12. Sorting Corn Seeds Using Metaheruistic Optimal Neural Networks for Production Maintenance 85
  13. Advanced Optimization of Load Balancing in Distributed Cloud Systems Using Star Cocoloring Techniques 95
  14. MFO_LK_MLP: Moth Flame Optimized Lattice Kohonen Multiple Layer Perceptron Neural Network-Based Cell Imbalance Prediction Among Autonomous Vehicles for Effective Battery Management 103
  15. Mathematical Modeling and Optimization of AI-Driven Hostel Allocation Systems for Smart Accommodation Management 117
  16. Optimized Online Service Booking Portal Enhanced with Artificial Intelligence and Mathematical Modeling 131
  17. A Quantitative Modeling Approach to AI-Integrated Smart Trip Planning with Real-Time Route Optimization and Cost Minimization 145
  18. Mathematical Modeling and AI-Driven Optimization of Blood Bank Management Systems Using Real-Time Analytics and Predictive Matching 157
  19. A Mathematical Approach Polygonal Models and Their Applications in Image Processing 169
  20. Deep Learning-Based Real-Time Energy Distribution Optimization for Hybrid Energy Storage Systems in Electric Vehicles 183
  21. Enhancing Early Prediction of Gestational Diabetes Mellitus Using Advanced Machine Learning and Feature Optimization Techniques 195
  22. Optimizing Pre-owned Car Valuation with SVR, XGBoost, KNN, and ANN Models 209
  23. Data Science Applications Using Extreme Gradient Boosting (XGBoost) and Random Forest for Predictive Analytics in Financial Sectors 223
  24. Developing Continuous Integration/Continuous Deployment for Microservices Architecture Using DevOps 235
  25. Real-Time Inventory Management System for Retail Chains: A Data-Driven Approach 247
  26. Automated Software Deployment System with Integrated Testing Pipelines 261
  27. A Novel DevOps Monitoring and Incident Response System: Methodology and Performance Evaluation 275
  28. AI-Enabled Data-Driven Decision Support Systems for Corporate Management 289
  29. Deep Learning Applications in Predictive Analytics for Business Management 303
  30. Machine Learning in Smart Cities: Leveraging Particle Swarm Optimization (PSO) and Decision Trees for Urban Development Planning 317
  31. Smart Systems Powered by K-Nearest Neighbors (KNN) and Bidirectional LSTMs for Real-Time Data Processing 329
  32. AI-Powered Disaster Management in Smart Cities Using YOLOv5 and Ant Colony Optimization (ACO) 341
  33. Theme 2: Blockchain
  34. Theme 2: Blockchain 353
  35. Blockchain-Driven Data Mining in Federated Learning Environments Enhancing Privacy and Security 357
  36. Leveraging Blockchain for Secure and Transparent Federated Learning in Data Mining Applications 371
  37. A Decentralized Approach to Data Mining: Integrating Blockchain with Federated Learning 385
  38. Optimizing Data Mining Processes with Blockchain-Enabled Federated Learning 399
  39. Federated Learning and Blockchain: Synergizing Privacy-Preserving Data Mining Techniques 413
  40. Decentralized Identity Security System Using Blockchain 427
  41. Theme 3: Cryptography
  42. Theme 3: Cryptography 437
  43. Digital Rights Management System with RC4-2S Encryption Technique 441
  44. Adaptive Correlative Approach for Enhanced Biometric Security Using EEG Signal Interface 453
  45. Theme 4: Cybersecurity
  46. Theme 4: Cybersecurity 465
  47. Firewall-Z: Leveraging AI Mathematical Modeling for Real-Time Threat Detection 469
  48. Intelligent Cyber Threat Detection Using Deep Neural Networks with PSO Optimization 479
  49. A Mathematical Modeling Approach to AI-Driven Threat Detection Using Cloud-Based Honeypots 493
  50. Next-Generation Network Data Security: Advanced Threat Detection, Encryption Techniques, and AI-Driven Cyber Defense Mechanisms for Safeguarding Digital Infrastructures 507
  51. An Intelligent Deep Learning-Based Adaptive Framework for Multilayered Intrusion Detection and Threat Mitigation in Modern Information Security Architectures 523
  52. Application-Driven Criminal Investigation Uncovering Reports and Discoveries 535
  53. Streamlining Network Security: A Convolutional Neural Network-Based System for Real-Time SIP Signal Analysis and Attack Detection 545
  54. Privacy-Preserving Federated Deep Learning for Emotion and Engagement Analytics in Smart Classrooms 557
  55. Fortifying Cyber-Physical Systems: Current Trends and Future Directions in Security Algorithms 569
  56. Data Anonymization Using Pseudonym System to Preserve Data Privacy 581
  57. Advance Real-Time System for Criminal Identification Using Facial Recognition 593
  58. Crime Scene Anomaly Prediction Using Generative Adversarial Networks 603
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