Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities

Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities

Reddy, K. Hemant Kumar; Hussain, Mir Wajahat; Sinha Roy, Diptendu; Gupta, Deepak

Taylor & Francis Ltd

12/2024

408

Dura

9781032626895

Pré-lançamento - envio 15 a 20 dias após a sua edição

Descrição não disponível.
1. Healthcare and its Applications in a Smart City. 2. Role of Body-Transfer System in Active Assistive Living for Effective Healthcare. 3. An in depth analysis of machine learning and artificial intelligence advancements in healthcare for smart cities. 4. Comprehensive Survey of IoT, Machine Learning, and Reliability Engineering for Health Care Applications. 5. Artificial Intelligence based Solutions for Optimized Data Routing through Multi-hop Healthcare Sensor Networks. 6. AIoMT: An AI Based Network Selection Framework for Next-Generation enabled IoMT Network in Smart City. 7. Concurrent Clustering with Outlier Removal in Healthcare. 8. Cluster Weighting-A New Clustering Technique for Outlier Removal and Noise Overlap in Healthcare Diagnosis for Smart City. 9. Cluster Weighting-A New Clustering Technique for Outlier Removal and Noise Overlap in Healthcare Diagnosis for Smart City. 10. Pneumonia classification in Chest X-ray Images Using Fusion of Deep Features and LightGBM. 11. AI-Driven Prioritization and Detection of Covid-19 Cases in Smart Cities: An Integration of X-Ray Imaging and ResNet18 Machine Learning. 12. Depression detection in social media text using machine learning techniques. 13. Depression Symptoms Prediction on Online Social Networks Using Machine Learning Algorithms. 14. A Sorting Strip based Body worn Antenna for Assisting Breast Cancer Detection for a smart Healthcare environment. 15. Artificial Intelligence Prediction of the Risk of Ovarian Cancer at an Early Stage in Smart Cities. 16. Chatbot Enable Brain Cancer Prediction using Convolutional Neural Network for Smart Health Care. 17. Federated Learning for Heart Disease Detection in Smart Healthcare: A Survey. 18. Federated Learning for Heart Disease Detection Using a Grey Wolf Transfer Learning Model Based on Multi-Perceptron Neural Networks. 19. A novel Mist-Fog federated learning model for heart disease detection in smart healthcare. 20. Energy-efficient and Delay Tolerant Prediction of Heart Disease in IoT-enabled Mist Computing Platforms.
Mist Computing;Fog Computing;Cloud computing;Software Defined Networking