AIoT Innovations in Digital Health
portes grátis
AIoT Innovations in Digital Health
Emerging Trends, Challenges, and Solutions
Hajjami, Salma El; Khan, Inam Ullah; Yogamoorthi, Thiagarajan; Khan, Muhammad Adnan; Rahman, Hameedur; Ullah, Inam; Gupta, Shashi Kant
Taylor & Francis Ltd
05/2025
160
Dura
9781032744414
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Sentiment Analysis of Users Tweets for Polarity Opinions Detection Using Deep Learning for Health Care Service. 2. Non-Sorted Genetic Algorithm and Logistic Regression (NSGA-LR) for Prediction of Heart Diseases. 3. An Intelligent Hybrid Blockchain Mechanism for IoT-Based Healthcare Applications in Blood Cancer Recurrence Detection. 4. Comprehensive Solution for the Management of Chronic Kidney Disease: Application of IoT-Assisted Technology. 5. Privacy and Security Aspects of AI Related to IoT in Healthcare Industry: Methods, Tools, Applications, and Open Challenges. 6. Ontology-Based Experts System for Lung Cancer Disease Diagnosis. 7. Identification of Brain Tumors in MRI Images Using Artificial Intelligence of Things. 8. Transformative Insights: Image-Based Breast Cancer Detection and Severity Assessment through Advanced AI Techniques. 9. Cognitive Machine Learning-Based Intrusion Detection System for Identification of Life-Threatening Diseases.
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Medical Robotics;Healthcare Informatics;Green Computing;Machine Learning;Federated Learning;6G Enabled Virtual Networking
1. Sentiment Analysis of Users Tweets for Polarity Opinions Detection Using Deep Learning for Health Care Service. 2. Non-Sorted Genetic Algorithm and Logistic Regression (NSGA-LR) for Prediction of Heart Diseases. 3. An Intelligent Hybrid Blockchain Mechanism for IoT-Based Healthcare Applications in Blood Cancer Recurrence Detection. 4. Comprehensive Solution for the Management of Chronic Kidney Disease: Application of IoT-Assisted Technology. 5. Privacy and Security Aspects of AI Related to IoT in Healthcare Industry: Methods, Tools, Applications, and Open Challenges. 6. Ontology-Based Experts System for Lung Cancer Disease Diagnosis. 7. Identification of Brain Tumors in MRI Images Using Artificial Intelligence of Things. 8. Transformative Insights: Image-Based Breast Cancer Detection and Severity Assessment through Advanced AI Techniques. 9. Cognitive Machine Learning-Based Intrusion Detection System for Identification of Life-Threatening Diseases.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
