Data-Driven Applications for Emerging Technologies
eBook - ePub

Data-Driven Applications for Emerging Technologies

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Data-Driven Applications for Emerging Technologies

About this book

Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep learning, and natural language processing, offering a mix of theory and hands-on applications. The book highlights how data-driven techniques can improve decision-making, optimize processes, and solve real-world problems.

Each chapter includes research contributions from academics and industry professionals, making the content both relevant and accessible. Readers will find practical insights into applying machine learning frameworks, data preprocessing techniques, and emerging technologies across different domains.

Designed for researchers, professionals, and students, this book provides a solid foundation in data-driven methods without being overly technical. Whether you're looking to enhance your understanding of AI and machine learning or apply data science in real-world scenarios, this book serves as a useful and practical resource.

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Yes, you can access Data-Driven Applications for Emerging Technologies by Nazmul Siddique,Mohammad Shamsul Arefin,Ahmed Wasif Reza,S. M. Aminul Haque,Aminul Haque in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Ingeniería computacional. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Preface
  8. Contributors
  9. Editors
  10. Chapter 1 ▪ Toward Deep Autoencoder for Recommendation System Using Implicit Feedback
  11. Chapter 2 ▪ Intelligent Learning Behavior Analysis for Student Based on Fuzzy Agent Model
  12. Chapter 3 ▪ Quantifying Shifts in Word Contexts from Social Media Data
  13. Chapter 4 ▪ BanglaOngko: A New Dataset for Accurate Bengali Mathematical Expression Detection Utilizing YOLOv8 Architecture
  14. Chapter 5 ▪ Pandemic Prediction and Prevention in Bangladesh by Data Mining Approach
  15. Chapter 6 ▪ Impacts of Passenger Request Trends on Ride-sharing System Performance
  16. Chapter 7 ▪ Protein Structure Prediction Using Feature Selective Support Vector Machines
  17. Chapter 8 ▪ Sentiment Analysis of Bangla Text Using Transformer Based Model
  18. Chapter 9 ▪ DDOS Detection Using Machine Learning
  19. Chapter 10 ▪ Extracting Clinically Relevant Phrases from Patient Notes using BERT and Multi-Teacher Knowledge Distillation
  20. Chapter 11 ▪ An Approach to Ensure Public Safety Using Masked Face Recognition
  21. Chapter 12 ▪ Improving the Efficiency of Waste Management with a Residual Network-Based Framework
  22. Chapter 13 ▪ Designing the Most Eco-Friendly Spatial Landscape and Natural Environment Using A* Path Finding Algorithms
  23. Chapter 14 ▪ Rainwater Harvesting and Reducing Biological Threat of Utilizing
  24. Chapter 15 ▪ Yoga Pose Classification Using Transfer Learning
  25. Chapter 16 ▪ Bornomala: A CNN Ensemble Approach for Bangla Sign Language Detection
  26. Chapter 17 ▪ Fuzzy-based Model for Perceived Value and Customer Satisfaction in Fine Dining
  27. Chapter 18 ▪ An Improved Ensemble Model for Intent Classification of Bangla Chatbot
  28. Index