Cognitive Machine Intelligence

I. AI Trends and Challenges. 1. AI based Computing Applications in Future Communication. 2. Advances of Deep Learning and related Applications. 3. Machine Learning for Big Data and Neural Networks. II. Machine Intelligence in Network Technologies. 4. Deformation Prediction and Monitoring using Real-Time WSN and Machine Learning Algorithms: A Review. 5. Unmanned Aerial Vehicle: Integration in Healthcare Sector for Transforming Interplay among Smart Cities. 6. Blockchain Technologies Using Machine Learning. 7. Q-learning and Deep Q Networks for Securing IoT Networks, Challenges and Solution. 8. The Application of Artificial Intelligence and Machine Learning in Network Security using a Bibliometric Study. 9. Machine Learning Approaches for Intrusion Detection: Enhancing Cybersecurity and Threat Mitigation. III. Cognitive Machine Intelligence Applications. 10. The Rise of AI in the Field of Healthcare. 11. A Comprehensive Survey of Machine Learning Applications in Healthcare. 12. A Deep Learning Approach for the Early Diagnosis of Melanoma Cancer: Study and Analysis. 13. A Study and Analysis on Nowcasting: Forms of Precipitation using Improvised Random Forest Classifier. 14. A Study and Comparative Analysis on Prediction of Tsunami Using Convolutional Neural Network. 15. Towards Smarter Chatbots: Unravelling the Capabilities of ChatGPT.

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

• Ciência ambiental, engenharia e tecnologia
• Engenharia electrotécnica
• Aprendizagem mecânica
• Engenharia do controlo automático
• Engenharia das comunicações e telecomunicações
• Certificação
• Tecnologia da informação: aspectos gerais

Wireless Communication Networks;Ad Hoc Networks;Quantum Computing;Next Generation Computing;Intrusion Detection System;Internet of Things