Security Issues in Communication Devices, Networks and Computing Models
portes grátis
Security Issues in Communication Devices, Networks and Computing Models
Volume 2
Makkena, Goutham; Ramakrishna, Akella; Kumar, Budati Anil; Ghinea, Gheorghita
Taylor & Francis Ltd
05/2025
230
Dura
Inglês
9781032970271
Pré-lançamento - envio 15 a 20 dias após a sua edição
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About the Editors. List of Contributors. 1. Effect of Different Vehicle's Speed on QoS Performance Metrics and WAVE metrics on OLSR VANET Routing Protocol. 2. Equitable Edge Colouring of Unionized Triangular Patterns in Graphs. 3. IoT based development of a Smart Building Applications. 4. Secure Biometric Authentication of E-Passport System. 5. Efficient Scalable Binary Counter using Low-Complexity Sorting Networks for VLSI Applications. 6. Convolutional Neural Networks Based EEG Signal Fervour Identification. 7. LSTM-based Cloud Workload Prediction using PSO-GA Hybrid Algorithm. 8. An Improved Noise Filter Design for Canny Edge Detection with Pipeline Architecture. 9. FPGA Implementation of 256 Bit Key AES Algorithm using A Modified S-BOX Sharing Algorithm. 10. Design and Implementation of LPG Gas Cylinder Management and Alerting System using IOT. 11. A Machine Learning Approach for Hindi Tweets Sentiment Analysis. 12. Detection of Alzheimer's Disease Using Deep Learning Mobile Net Model. 13. Leveraging Machine Learning and Web Applications for Heart Disease Prediction. 14. Smart Food Donation: An Android App for Efficient Waste Management. 15. Counterfeit Products Detection using Blockchain Technology. 16. Advanced Deep Learning Framework for Accurate Analysis of Benign and Malignant Skin Cancer. 17. Revolutionizing Healthcare with Smart Syringe Pump: Design and Implementation. 18. Advanced Lung Cancer Detection using EfficientDet: A Deep Learning Approach. 19. EffiCoNet: A Hybrid Approach to Colon Cancer Detection using EfficientNet. 20. CerviYOLO: Advanced Cervical Cancer Detection using YOLOv5. 21. Deep Learning Models for Accurate Identification of Mammographic Abnormalities. 22. Sign Language Detection and Recognition using Machine Learning Architectures. Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
security;devices;communication
About the Editors. List of Contributors. 1. Effect of Different Vehicle's Speed on QoS Performance Metrics and WAVE metrics on OLSR VANET Routing Protocol. 2. Equitable Edge Colouring of Unionized Triangular Patterns in Graphs. 3. IoT based development of a Smart Building Applications. 4. Secure Biometric Authentication of E-Passport System. 5. Efficient Scalable Binary Counter using Low-Complexity Sorting Networks for VLSI Applications. 6. Convolutional Neural Networks Based EEG Signal Fervour Identification. 7. LSTM-based Cloud Workload Prediction using PSO-GA Hybrid Algorithm. 8. An Improved Noise Filter Design for Canny Edge Detection with Pipeline Architecture. 9. FPGA Implementation of 256 Bit Key AES Algorithm using A Modified S-BOX Sharing Algorithm. 10. Design and Implementation of LPG Gas Cylinder Management and Alerting System using IOT. 11. A Machine Learning Approach for Hindi Tweets Sentiment Analysis. 12. Detection of Alzheimer's Disease Using Deep Learning Mobile Net Model. 13. Leveraging Machine Learning and Web Applications for Heart Disease Prediction. 14. Smart Food Donation: An Android App for Efficient Waste Management. 15. Counterfeit Products Detection using Blockchain Technology. 16. Advanced Deep Learning Framework for Accurate Analysis of Benign and Malignant Skin Cancer. 17. Revolutionizing Healthcare with Smart Syringe Pump: Design and Implementation. 18. Advanced Lung Cancer Detection using EfficientDet: A Deep Learning Approach. 19. EffiCoNet: A Hybrid Approach to Colon Cancer Detection using EfficientNet. 20. CerviYOLO: Advanced Cervical Cancer Detection using YOLOv5. 21. Deep Learning Models for Accurate Identification of Mammographic Abnormalities. 22. Sign Language Detection and Recognition using Machine Learning Architectures. Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
