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Full Description
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.
Contents
1. Towards Deep Autoencoder for Recommendation System Using Implicit Feedback. 2. Intelligent Learning Behavior Analysis for Student Based on Fuzzy Agent Model. 3. Quantifying Shifts in Word Contexts from Social Media Data. 4. BanglaOngko: A New Dataset for Accurate Bengali Mathematical Expression Detection Utilizing YOLOv8 Architecture. 5. Pandemic Prediction and Prevention in Bangladesh by Data Mining Approach. 6. Impacts of passenger request trends on ride-sharing system performance. 7. Protein Structure Prediction Using Feature Selective Support Vector Machines. 8. Sentiment Analysis of Bangla Text Using Transformer Based Model. 9. DDOS Detection Using Machine Learning. 10. Extracting Clinically Relevant Phrases from Patient Notes using BERT and Multi-Teacher Knowledge Distillation. 11. An Approach to Ensure Public Safety Using Masked Face Recognition. 12. Improving the Efficiency of Waste Management with a Residual Network-Based Framework. 13. Designing the Most Eco-Friendly Spatial Landscape and Natural Environment Using A* Path Finding Algorithms. 14. Rainwater Harvesting and Reducing Biological Threat of Utilizing. 15. Yoga Pose Classification Using Transfer Learning. 16. Bornomala: A CNN Ensemble approach for Bangla Sign Language Detection. 17. Fuzzy-based Model for Perceived Value and Customer Satisfaction in Fine Dining. 18. An Improved Ensemble Model for Intent Classification of Bangla Chatbot.
