Recent Trends in Data Analytics and Computing
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  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

We are pleased to present the proceedings of the International Conference on Advanced Data Analytics and Computing (ICADAC) 2025, a premier platform that brings together researchers, scholars, and industry professionals to share their latest findings, technological advancements, and practical applications in the field of data analytics and intelligent computing. ICADAC 2025 has received a remarkable number of high-quality submissions from across the globe, reflecting the growing interest and ongoing innovation in this dynamic domain. After a rigorous peer-review process by our esteemed technical committee, a curated selection of papers has been included in this volume. These contributions span various topics, including machine learning, artificial intelligence, big data processing, cloud computing, Internet of Things (IoT), cybersecurity, and their applications across various sectors including but not limited to Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Communications Engineering, Computer Science Engineering, Information Technology and other interdisciplinary areas

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Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Conference Proceedings Series on Futuristic Intelligent and Smart Technologies (FIST)
  6. Dedication
  7. Contents
  8. List of Figures
  9. List of Tables
  10. Preface
  11. Advisory Committee
  12. Technical Program Committee
  13. Organizing Committee
  14. 1 Enhancing patient-centered healthcare: utilizing metaverse and blockchain for secure and reliable data sharing
  15. 2 Trash tracker-an AI-enhanced waste surveillance and notification system
  16. 3 Optimizing rail steel strength prediction: a novel genetic algorithm-ANN approach for microstructure analysis of pearlite phase
  17. 4 An intelligent clinical decision support for heart disease prediction using machine learning
  18. 5 Adaptive LSTM models for robust stock price prediction under market volatility
  19. 6 Smart applications and challenges of Internet of Things: a review
  20. 7 Fabrication of rain sensing RPM limiter for city and highway speed control
  21. 8 Optimizing academic performance in hybrid learning via clustering-guided with data mining techniques in higher education system
  22. 9 AI-driven cloud shield: a comprehensive review of machine learning approaches for cloud cyber security
  23. 10 AI-powered privacy shields and machine learning approaches for securing digital money transactions: a systematic review
  24. 11 TransformoDocs: a multi-modal, self-improving document conversion system with adaptive capabilities
  25. 12 Comparative evaluation of pentagon, hexagon, and heptagon microstrip patch antennas for 5G applications
  26. 13 Deep learning based fruits recommendation system by considering on individual health conditions and dietary needs
  27. 14 Gender differences in thermal comfort: a comprehensive review
  28. 15 An embedded system to identify the damage brain regions due to stroke, tumor and injury the known cause of the epilepsy
  29. 16 Impacts of as composition fraction on sensitivity in dielectric modulated trench junctionless InAsxSb1-x DG FET biosensors
  30. 17 Meditox: integrating machine learning and molecular data for accurate drug toxicity prediction
  31. 18 Enhancing photos with deep learning to eliminate block artefacts
  32. 19 Nanotechnology: a sustainable and ecofriendly approach in wastewater treatment and quality monitoring
  33. 20 Optimal load balancing technique for energy-efficient fog computing architecture
  34. 21 Performance assessment of PID and sliding mode controllers for DC motor speed regulation
  35. 22 Implementation of carry skip adder with speed and less delay
  36. 23 Analysis of precision cardiovascular disease classification using machine learning techniques
  37. 24 Segmentation and LSB based fragile medical image watermarking using differential evolution
  38. 25 Hierarchical vision transformers for pneumonia classification: a study on hyperparameter impact
  39. 26 Sustainable soil stabilization: combining lime and jute fiber for expansive soil improvement
  40. 27 Psychological effects of technology addiction using KNN, SVM, random forest and Naïve Bayes
  41. 28 Delay driven congestion control approach under smart virtual parallel TCP application
  42. 29 Generative AI and deep learning for phishing detection: a comparative analysis
  43. 30 KernelSwinNet: a Swin Transformer-based deep learning framework for brain tumor segmentation with dual attention and kernelized feature fusion
  44. 31 Employing modified VGG-19 for multi-class classification of skin cancer with model hyperparameters tuning
  45. 32 Enhancing energy efficiency in vapor compression refrigeration: a review of waste heat utilization techniques
  46. 33 Airplane seating assignment greedy algorithms that separate passengers likely to be susceptible to infectious disease from those likely to be infectious
  47. 34 Blockchain- empowered metaverse: decentralized crowdsourcing and marketplace for trading machine learning data and models
  48. 35 Comparative performance analysis of dockerized web applications on AWS and oracle cloud
  49. 36 Employing generative adversarial techniques to address imbalanced datasets
  50. 37 Pioneering employee healthcare: dynamic workforce optimization
  51. 38 Accelerating object detection with XNOR-based optimized CNN architecture and real-time processing
  52. 39 Optimized booth multiplier architecture for enhanced performance in FPGA designs
  53. 40 Precision diagnosis: an automated method for detecting congenital heart disease in children from phonocardiogram signals employing deep neural network
  54. 41 Federated transfer learning for Alzheimer's disease classification using MRI images
  55. 42 AI-driven anomaly detection in secure database access logs using python
  56. 43 Performance analysis of AI-optimized query execution in simulated cloud data warehousing
  57. 44 AI-based schema evolution detection and data consistency checking in SQL to cloud migrations
  58. 45 Efficient design of grid-connected PV networks using particle swarm optimization: a cost-effective solution
  59. 46 Designing a comprehensive model to handle imbalanced data classification using hybrid Gaussian noise up-sampling and an optimized classifier
  60. 47 Face recognition system using Dlib and face-recognizer module

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Yes, you can access Recent Trends in Data Analytics and Computing by Pijush Dutta,Jyoti Sekhar Banerjee,Siddhartha Bhattacharyya,Debashis De,Panagiotis Sarigiannidis,Mohamed Lahby,Shashi Kant Gupta in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.