Cyber Security and Operations Management for Industry 4.0
portes grátis
Cyber Security and Operations Management for Industry 4.0
Elhoseny, Mohamed; Elngar, Ahmed A; Thillaiarasu, N.; Sagayam, K. Martin
Taylor & Francis Ltd
10/2024
146
Mole
9781032079486
15 a 20 dias
Descrição não disponível.
Part 1 Cyber Security. 1. Efficient Deep Learning Techniques for Security and Privacy in Industry. 2. Crypto-Based Secure Outbound Supply Chain Authentication for Industry 4.0. 3. A Machine Learning-Based Approach for Fruit Grading and Classification. 4. Artificial Intelligence Impact on Pattern Classification in Association with IoT for Advanced Applications. Part 2 Industry 4.0. 5. A Modified Clonal Selection Algorithm Based on Positive Selection Method in AIS to Solve Job-Shop Scheduling Problem. 6. IoT Health Care Devices for Patient Monitoring, 7. Deep Learning Techniques Used for Detection of Disease in Tomato Plants.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Cyber-Physical Systems;IoT;Internet of Things;Cloud Computing;CPS;Digital Twins;Cyber Physical Systems;Septoria Leaf Spot;CSA;Leaf Curl;Bacterial Spot;Tomato Disease;Deep Learning Algorithms;Early Blight;Data Set;Antibody Library;Job Shop Scheduling Problem;Deep Reinforcement Learning;Ai;SVM Classifier;Classic Machine Learning Algorithms;Sensitive Information;Unlabeled Data Set;Tomato Plant;KBA;Ransomware Attacks;Hybrid Artificial Neural Network Models;Deep Learning Architecture;SDN;Raspberry Pi;MSVM
Part 1 Cyber Security. 1. Efficient Deep Learning Techniques for Security and Privacy in Industry. 2. Crypto-Based Secure Outbound Supply Chain Authentication for Industry 4.0. 3. A Machine Learning-Based Approach for Fruit Grading and Classification. 4. Artificial Intelligence Impact on Pattern Classification in Association with IoT for Advanced Applications. Part 2 Industry 4.0. 5. A Modified Clonal Selection Algorithm Based on Positive Selection Method in AIS to Solve Job-Shop Scheduling Problem. 6. IoT Health Care Devices for Patient Monitoring, 7. Deep Learning Techniques Used for Detection of Disease in Tomato Plants.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Cyber-Physical Systems;IoT;Internet of Things;Cloud Computing;CPS;Digital Twins;Cyber Physical Systems;Septoria Leaf Spot;CSA;Leaf Curl;Bacterial Spot;Tomato Disease;Deep Learning Algorithms;Early Blight;Data Set;Antibody Library;Job Shop Scheduling Problem;Deep Reinforcement Learning;Ai;SVM Classifier;Classic Machine Learning Algorithms;Sensitive Information;Unlabeled Data Set;Tomato Plant;KBA;Ransomware Attacks;Hybrid Artificial Neural Network Models;Deep Learning Architecture;SDN;Raspberry Pi;MSVM
