Sustainable Digital Technologies for Smart Cities
portes grátis
Sustainable Digital Technologies for Smart Cities
Healthcare, Communication, and Transportation
Manivel, R.; Kumar, L Ashok; Dor, Eyal Ben
Taylor & Francis Ltd
07/2023
254
Dura
Inglês
9781032309842
15 a 20 dias
Descrição não disponível.
1. Comparative Analysis of Selective Harmonic Elimination for Multilevel Inverter with CSA, PSO, BAT and SA Algorithms. 2. Design and development of an automated product retrieval system for a warehouse. 3. Implementation of Water and Air Quality Monitoring System for Smart Agriculture using LoRa. 4. Local Binary Pattern based criminal identification system. 5. Enhancing Customer Experience in Restuarants using Augmented Reality based Marketing Strategy. 6. ZETA - A Web Based Restaurant Suggesting Chatbot. 7. Obstacle avoidance and Image recognition system. 8. Town Bus Tracker. 9. Intelligent Predictive Analytics in Farming using IoT in Big data. 10. Intelligent Transportation System: A Review of VANET Applications for Urban Areas, Technologies and Protocols. 11. Observer Based Control for Rotary Servo System. 12. Stock Market Prediction Using Machine Learning and Deep Learning Algorithms. 13. Service line Fault Detector and Distance Calculator for Smart Cities. 14. Heart Disease classification using MLP neural network. 15. Computer Aided Diagnosis Towards Improving Severity Assessment of Dysarthria . 16. SVM Based Demodulator for QPSK Signal Suitable for Vehicular Communication. 17. Medicinal Picture Watermarking System for Recovering Embedded Information from Therapeutic Restorative Picture. 18. Enhancement of Security and Fusion Techniques in Wireless Medical Sensor Network. 19. An exploratory data analysis on cardiovascular disease. 20. A Survey on Slight Barriers of using Blockchain in Healthcare. 21. Encountering Privacy - Sensitive Information in Medical Documents. 22. High throughput image analysis of morphological characters of Spirulina platensis using ImageJ software. 23. Fluorescent probes to visualize subcellular localization of proteins in bacterial cells.
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urban informatics;wireless sensor networks;predictive analytics;medical data privacy;vehicular ad hoc networks;deep learning applications;intelligent systems for urban infrastructure
1. Comparative Analysis of Selective Harmonic Elimination for Multilevel Inverter with CSA, PSO, BAT and SA Algorithms. 2. Design and development of an automated product retrieval system for a warehouse. 3. Implementation of Water and Air Quality Monitoring System for Smart Agriculture using LoRa. 4. Local Binary Pattern based criminal identification system. 5. Enhancing Customer Experience in Restuarants using Augmented Reality based Marketing Strategy. 6. ZETA - A Web Based Restaurant Suggesting Chatbot. 7. Obstacle avoidance and Image recognition system. 8. Town Bus Tracker. 9. Intelligent Predictive Analytics in Farming using IoT in Big data. 10. Intelligent Transportation System: A Review of VANET Applications for Urban Areas, Technologies and Protocols. 11. Observer Based Control for Rotary Servo System. 12. Stock Market Prediction Using Machine Learning and Deep Learning Algorithms. 13. Service line Fault Detector and Distance Calculator for Smart Cities. 14. Heart Disease classification using MLP neural network. 15. Computer Aided Diagnosis Towards Improving Severity Assessment of Dysarthria . 16. SVM Based Demodulator for QPSK Signal Suitable for Vehicular Communication. 17. Medicinal Picture Watermarking System for Recovering Embedded Information from Therapeutic Restorative Picture. 18. Enhancement of Security and Fusion Techniques in Wireless Medical Sensor Network. 19. An exploratory data analysis on cardiovascular disease. 20. A Survey on Slight Barriers of using Blockchain in Healthcare. 21. Encountering Privacy - Sensitive Information in Medical Documents. 22. High throughput image analysis of morphological characters of Spirulina platensis using ImageJ software. 23. Fluorescent probes to visualize subcellular localization of proteins in bacterial cells.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
