Machine Learning for Edge Computing
portes grátis
Machine Learning for Edge Computing
Frameworks, Patterns and Best Practices
Gandomani, Taghi Javdani; Singh, Amitoj; Kukreja, Vinay
Taylor & Francis Ltd
07/2022
190
Dura
Inglês
9780367694326
15 a 20 dias
399
Descrição não disponível.
1. Fog Computing And Its Security Challenges. 2. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. 3. Tea Vending Machine from extracts of Natural Tea leaves and other ingredients: IoT and Artificial Intelligence Enabled. 4. Recent Trends in OCR Systems: A Review. 5. A Novel Approach for Data Security using DNA Cryptography with Artificial Bee Colony Algorithm in Cloud Computing. 6. Various Techniques for Consensus Mechanism in Blockchain. 7. IoT inspired Smart Healthcare Service for diagnosing remote patients with Diabetes. 8. Segmentation of Deep Learning Models. 9. Alzheimer's disease Classification. 10. Deep learning applications on Edge computing. 11. Designing an Efficient Network based Intrusion Detection System using Artificial Bee Colony and ADASYN oversampling approach.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Distributed Computing;Deep learning;Data science;Artificial Intelligence;IoT;Federated Learning;Computation Offloading;Machine Learning;Edge Computing;Edge Intelligence;IoT Device;ABC Algorithm;FC;SVM;Onlooker Bees;Deep Learning Models;Cloud Computing;DNA Computing;Scout Bees;SDN;Edge Servers;Minority Class Instances;Line Segmentation;Employed Bees;Class Imbalance Problem;MEC;Random Forest Classifier;Id Model;Mri Image;SVM RFE;DNA Nucleotide;Artificial Bee Colony Optimization;Mri Brain Scan
1. Fog Computing And Its Security Challenges. 2. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. 3. Tea Vending Machine from extracts of Natural Tea leaves and other ingredients: IoT and Artificial Intelligence Enabled. 4. Recent Trends in OCR Systems: A Review. 5. A Novel Approach for Data Security using DNA Cryptography with Artificial Bee Colony Algorithm in Cloud Computing. 6. Various Techniques for Consensus Mechanism in Blockchain. 7. IoT inspired Smart Healthcare Service for diagnosing remote patients with Diabetes. 8. Segmentation of Deep Learning Models. 9. Alzheimer's disease Classification. 10. Deep learning applications on Edge computing. 11. Designing an Efficient Network based Intrusion Detection System using Artificial Bee Colony and ADASYN oversampling approach.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Distributed Computing;Deep learning;Data science;Artificial Intelligence;IoT;Federated Learning;Computation Offloading;Machine Learning;Edge Computing;Edge Intelligence;IoT Device;ABC Algorithm;FC;SVM;Onlooker Bees;Deep Learning Models;Cloud Computing;DNA Computing;Scout Bees;SDN;Edge Servers;Minority Class Instances;Line Segmentation;Employed Bees;Class Imbalance Problem;MEC;Random Forest Classifier;Id Model;Mri Image;SVM RFE;DNA Nucleotide;Artificial Bee Colony Optimization;Mri Brain Scan
