Cross-industry AI applications /
| Other Authors: | , , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Subjects: |
Table of Contents:
- Chapter 1. AI-driven intelligent models for business excellence, organizational human resources policies and practices, and employee attrition
- Chapter 2. An aid of business intelligence in retailing services and experience using artificial intelligence
- Chapter 3. Application of artificial intelligence to enhance business intelligence for increasing customer involvement in FMCG industry
- Chapter 4. A framework for cheque processing using blockchain technology and smart contracts
- Chapter 5. A review on the adoption of AI-powered supply chain and logistics management for effective organizational performance in SMEs in India
- Chapter 6. A review on shipment tracking technologies on game changers in maritime logistics
- Chapter 7. Deep learning-based vehicle detection and classification in traffic management for intelligent transportation systems
- Chapter 8. Efficient feature extraction method for traffic surveillance in intelligent transportation systems
- Chapter 9. Optimizing interpretability and dataset bias in modern AI systems
- Chapter 10. Technological frontier on hybrid deep learning paradigm for global air quality intelligence
- Chapter 11. Effectivity of prediction enhancement of land cover classification for remote sensing images using automatic feature learning model
- Chapter 12. An artificial intelligence technique in industry 4.0 for predicting the settlement of geocell-reinforced soil foundations
- Chapter 13. Enhanced K-means clustering algorithms in pattern detection of human freedom index dataset
- Chapter 14. Evaluation and intelligent modelling for predicting the amplitude of footing resting on geocell-based weak sand bed under vibratory load
- Chapter 15. Advancing healthcare outcomes through machine learning innovations
- Chapter 16. Implementing innovative strategies for advancing healthcare outcomes by leveraging machine learning technologies and data-driven approaches
- Chapter 17. Unlocking and maximising the multifaceted potential of machine learning techniques in enhancing healthcare delivery
- Chapter 18. Creating a sustainable large-scale content-based biomedical article classifier using BERT
- Chapter 19. A Survey on exploring the relationship between music and mental health using machine learning analysis
- Chapter 20. Efficient e-learning multi-keyword search-based application for students' better education.