Proceedings of Tenth International Congress on Information and Communication Technology ICICT 2025, London, Volume 5 /
This book gathers selected high-quality research papers presented at the Tenth International Congress on Information and Communication Technology (ICICT 2025), held in London, on February 18–21, 2025. It discusses emerging topics pertaining to information and communication technology (ICT) for manag...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , , , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Putanga: | 1st ed. 2025. |
| Rangatū: | Lecture Notes in Networks and Systems,
1444 |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-981-96-6932-5 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- Chapter 1: Information and communication technology as an enabler of knowledge management at a South African University
- Chapter 2: Strategies for Culturally Responsive AI in Education: Mitigating Bias and Enhancing Student Outcomes
- Chapter 3: Analyzing the Structure of Groupoids of order 3, 4, and 5 Using PCA
- Chapter 4: The Implementation of Intelligent Systems to Enhance Crisis Resilience in the Healthcare Sector: A Comparative Analysis with the Balanced Scorecard Method
- Chapter 5: Strengthening the Role of Cooperatives in Indonesia's Economy: Challenges, Opportunities, and Strategic Frameworks
- Chapter 6: A Multi-Domain Adaptive Deep Learning Approach for Sentimental Classification Optimization
- Chapter 7: Design and Implementation of a Secure and Efficient Blockchain-Based Investment Platform with PBFT Consensus
- Chapter 8: Obesity Level Prediction Using Machine Learning
- Chapter 9: Automated Detection of Potholes and Speed Bumps Using Deep Learning
- Chapter 10: Insurance Fraud Detection using Machine Learning
- Chapter 11: A Reduced Order Modeling for Radiation Source Identification and Localization in Incomplete Sensor Data Scenarios.-.