5G IoT and Edge Computing for Smart Healthcare
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portes grátis
5G IoT and Edge Computing for Smart Healthcare
Sur, Samarendra Nath; Barsocchi, Paolo; Bhoi, Akash Kumar; de Albuquerque, Victor Hugo Costa
Elsevier Science & Technology
03/2022
324
Mole
Inglês
9780323905480
15 a 20 dias
680
Descrição não disponível.
1. Fundamentals and architecture of edge computing platform: 5G IoT/IoMT
2. Physical layer architecture of 5G enabled IoT/IoMT system
3. HetNet/M2M/D2D communication in 5G technologies
4. Sensor Networks: Data and Traffic Models in 5G Network
5. Convergent Network Architecture of 5G and MEC
6. Privacy and Security aspect of MEC enabled 5G- IoT network
7. Healthcare data encryption, data processing for the data acquired from smart sensors and smart city healthcare approaches
8. Artificial Neural Networks/ Deep Learning approaches for the disease diagnosis and treatment
9. Advanced pattern recognition tools/ computer vision algorithm for the disease diagnosis
10. Cognitive computing for the data cognition for the information relevant to the user's disease and resource management
11. Computational Intelligence in Human-machine interface (HMI) for telemedicine application
12. Case Study: challenges and implications of smart healthcare applications and solutions to address these challenges
2. Physical layer architecture of 5G enabled IoT/IoMT system
3. HetNet/M2M/D2D communication in 5G technologies
4. Sensor Networks: Data and Traffic Models in 5G Network
5. Convergent Network Architecture of 5G and MEC
6. Privacy and Security aspect of MEC enabled 5G- IoT network
7. Healthcare data encryption, data processing for the data acquired from smart sensors and smart city healthcare approaches
8. Artificial Neural Networks/ Deep Learning approaches for the disease diagnosis and treatment
9. Advanced pattern recognition tools/ computer vision algorithm for the disease diagnosis
10. Cognitive computing for the data cognition for the information relevant to the user's disease and resource management
11. Computational Intelligence in Human-machine interface (HMI) for telemedicine application
12. Case Study: challenges and implications of smart healthcare applications and solutions to address these challenges
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
2019-nCoV; 5G; 5G mobile communications; 5G technology; Artificial intelligence; Brain-computer interface; Brain-to-things; COVID-19; COVID-19 detection; COVID-19 pneumonia; CT angiography; Chest X-ray; Cloud computing; Convergent network; Convolutional Neural Networks (CNNs); Convolutional neural networks; D2D; Deep learning; Deep learning (DL); Disease diagnosis and treatment; Edge computing; Ergodic capacity; Ground-glass opacity (GGO); Gyrocardiography; Healthcare; Healthcare monitoring system; HetNet; Human-machine interface; Internet of Medical Things; Internet of Things; Internet of Things (IoT); Internet-of-Medical Things; IoT; Lightweight; Low-latency communication; M2M; MEC; Machine learning; Medical data; Nonorthogonal multiple access; Outage probability; Predictions; Security and privacy; Seismocardiography; Smart healthcare; Smart healthcare system; Smartphone Mechanocardiography; Speck encryption; Transfer learning; Wearables
1. Fundamentals and architecture of edge computing platform: 5G IoT/IoMT
2. Physical layer architecture of 5G enabled IoT/IoMT system
3. HetNet/M2M/D2D communication in 5G technologies
4. Sensor Networks: Data and Traffic Models in 5G Network
5. Convergent Network Architecture of 5G and MEC
6. Privacy and Security aspect of MEC enabled 5G- IoT network
7. Healthcare data encryption, data processing for the data acquired from smart sensors and smart city healthcare approaches
8. Artificial Neural Networks/ Deep Learning approaches for the disease diagnosis and treatment
9. Advanced pattern recognition tools/ computer vision algorithm for the disease diagnosis
10. Cognitive computing for the data cognition for the information relevant to the user's disease and resource management
11. Computational Intelligence in Human-machine interface (HMI) for telemedicine application
12. Case Study: challenges and implications of smart healthcare applications and solutions to address these challenges
2. Physical layer architecture of 5G enabled IoT/IoMT system
3. HetNet/M2M/D2D communication in 5G technologies
4. Sensor Networks: Data and Traffic Models in 5G Network
5. Convergent Network Architecture of 5G and MEC
6. Privacy and Security aspect of MEC enabled 5G- IoT network
7. Healthcare data encryption, data processing for the data acquired from smart sensors and smart city healthcare approaches
8. Artificial Neural Networks/ Deep Learning approaches for the disease diagnosis and treatment
9. Advanced pattern recognition tools/ computer vision algorithm for the disease diagnosis
10. Cognitive computing for the data cognition for the information relevant to the user's disease and resource management
11. Computational Intelligence in Human-machine interface (HMI) for telemedicine application
12. Case Study: challenges and implications of smart healthcare applications and solutions to address these challenges
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
2019-nCoV; 5G; 5G mobile communications; 5G technology; Artificial intelligence; Brain-computer interface; Brain-to-things; COVID-19; COVID-19 detection; COVID-19 pneumonia; CT angiography; Chest X-ray; Cloud computing; Convergent network; Convolutional Neural Networks (CNNs); Convolutional neural networks; D2D; Deep learning; Deep learning (DL); Disease diagnosis and treatment; Edge computing; Ergodic capacity; Ground-glass opacity (GGO); Gyrocardiography; Healthcare; Healthcare monitoring system; HetNet; Human-machine interface; Internet of Medical Things; Internet of Things; Internet of Things (IoT); Internet-of-Medical Things; IoT; Lightweight; Low-latency communication; M2M; MEC; Machine learning; Medical data; Nonorthogonal multiple access; Outage probability; Predictions; Security and privacy; Seismocardiography; Smart healthcare; Smart healthcare system; Smartphone Mechanocardiography; Speck encryption; Transfer learning; Wearables
