Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems

1. Artificial Intelligence & IoT: Challenges and Future Directions for Data Driven System. 2. Cloud Computing in AI-based Data-Driven Systems: Opportunities and Challenges. 3. Study on Detection of Potato Diseases using Deep Learning Network and Image Segmentation. 4. Leveraging Cloud Computing for Efficient AI-Based Data-Driven Systems. 5. Analyzing and contrasting the outcomes of performance-based plagiarism detection methods. 6. Machine Learning Algorithms for Data Driven Systems in IoT. 7. Improving Classification Accuracy of Diabetes Mellitus Prediction using Ensemble Techniques. 8. Machine learning Models for IoT Botnet attack Detection. 9. Blockchain-based identity authentication for Internet of Things systems: A comprehensive survey. 10. Connected Healthcare: The Impact of Internet of Things on Medical Services: Merits, Limitations, Future Insights, Case Studies, and Open Research Questions. 11. IoT-Enabled Smart Farming Systems using Data Analytics and Machine Learning: An empirical study of livestock monitoring. 12. Exploring the Performance Improvement and Skill Set Transformations in Sheet Metal Operations through Digital Technology. 13. Crowd-Sourced Based Emergency Response on the Internet of Vehicles (IOV): Harnessing Strengths and Limitations.

Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.

• Processamento de imagens
• Engenharia das comunicações e telecomunicações
• Inteligência artificial
• Análise e projecto de sistemas
• Engenharia electrotécnica
• Engenharia do controlo automático
• Hardware do computador

Cloud Computing;Machine Learning;Deep Learning;Explainable Artificial Intelligence;Intelligent Systems;Image Processing