Machine Learning, Blockchain, and Cyber Security in Smart Environments
portes grátis
Machine Learning, Blockchain, and Cyber Security in Smart Environments
Application and Challenges
Badotra, Sumit; Tanwar, Sarvesh; Rana, Ajay
Taylor & Francis Ltd
10/2024
220
Mole
9781032146416
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Intelligent Green Internet of Things: An Investigation. 2. The Role of Artificial Intelligence in the Education Sector: Possibilities and Challenges. 3. Multidisciplinary Applications of Machine Learning. 4. Prediction of Diabetes in the Early Stages using Machine-Learning Tools and Microsoft Azure AI Services. 5. Advanced Agricultural Systems: Identification, Crop Yields and Recommendation using Image Processing Techniques and Machine-Learning Algorithms. 6. SP-IMLA: Stroke Prediction using an Integrated Machine Learning Approach. 7. Multimodal Medical Image Fusion using Laplacian Re-Decomposition. 8. Blockchain Technology-Enabled Healthcare IoT to Increase Security and Privacy Using Fog Computing. 9. Blockchain in Healthcare, Supply-Chain Management, and Government Policies. 10. Electricity and Hardware Resource Consumption in Cryptocurrency Mining. 11. Cryptographic Hash Functions and Attack Complexity Analysis. 12. Mixed Deep Learning and Statistical Approach to Network Anomaly Detection. 13. Intrusion Detection System Using Deep Learning Asymmetric Autoencoder
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Neural Network;Cryptocurrency;Cyber Physical System;Privacy;Supply Chain;Deep Neural Network Models;IoT Device;Blockchain Technology;Data Sets;Power Consumption;Random Forest;Convolutional Layers;DHT.;Pcap File;Fog Computing;RF Model;MLP Model;Microsoft Azure;Hash Functions;Cellular Automata;Ml Algorithm;SVM Output;Network Anomaly Detection;Random Forest Classifier;Convolutional Kernel;Weka Tool;LP;SVM Classification Algorithm;Random Forest Implementation
1. Intelligent Green Internet of Things: An Investigation. 2. The Role of Artificial Intelligence in the Education Sector: Possibilities and Challenges. 3. Multidisciplinary Applications of Machine Learning. 4. Prediction of Diabetes in the Early Stages using Machine-Learning Tools and Microsoft Azure AI Services. 5. Advanced Agricultural Systems: Identification, Crop Yields and Recommendation using Image Processing Techniques and Machine-Learning Algorithms. 6. SP-IMLA: Stroke Prediction using an Integrated Machine Learning Approach. 7. Multimodal Medical Image Fusion using Laplacian Re-Decomposition. 8. Blockchain Technology-Enabled Healthcare IoT to Increase Security and Privacy Using Fog Computing. 9. Blockchain in Healthcare, Supply-Chain Management, and Government Policies. 10. Electricity and Hardware Resource Consumption in Cryptocurrency Mining. 11. Cryptographic Hash Functions and Attack Complexity Analysis. 12. Mixed Deep Learning and Statistical Approach to Network Anomaly Detection. 13. Intrusion Detection System Using Deep Learning Asymmetric Autoencoder
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial Intelligence;Neural Network;Cryptocurrency;Cyber Physical System;Privacy;Supply Chain;Deep Neural Network Models;IoT Device;Blockchain Technology;Data Sets;Power Consumption;Random Forest;Convolutional Layers;DHT.;Pcap File;Fog Computing;RF Model;MLP Model;Microsoft Azure;Hash Functions;Cellular Automata;Ml Algorithm;SVM Output;Network Anomaly Detection;Random Forest Classifier;Convolutional Kernel;Weka Tool;LP;SVM Classification Algorithm;Random Forest Implementation
