Artificial Intelligence Techniques for Advanced Computing Applications : Proceedings of ICACT 2020 / / edited by D. Jude Hemanth, G. Vadivu, M. Sangeetha, Valentina Emilia Balas |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (531 pages) : illustrations |
Disciplina | 973.933092 |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Computational intelligence
Artificial intelligence Electrical engineering Computational Intelligence Artificial Intelligence Communications Engineering, Networks |
ISBN | 981-15-5329-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. A Novel Approach for Analysing and Detection of Obfuscated Malware Payloads in Android Platform Using Dexmonitor -- Chapter 2. A Study on the Prevention Mechanisms for Kernel Attacks -- Chapter 3. Enhancing Data Security Using DNA Algorithm in Cloud Storage -- Chapter 4. Stable Multi-Agent Clustering Method to Improve the Security in VANET -- Chapter 5. Anonymous Block Chain, Electronic Voting Using Linkable Ring Signatures -- Chapter 6. A Comprehensive Study on Ransomware Attacks in Online Pharmacy Community -- Chapter 7. A Comprehensive Survey on RF Module at 433 Mhzfor Different Applications -- Chapter 8. A Memory Efficient Tool for Bengali Parts Of Speech Tagging -- Chapter 9. Long-Term Wind Speed Forecasting – A Review -- Chapter 10. Methods for Epileptic Seizure Prediction Using EEG Signals: A Survey -- Chapter 11. Railway Wagon Health Monitoring System Using E-BMA Protocol in Wireless Sensor Networks -- Chapter 12. An Interactive Virtual E-Learning Framework Using Crowdsourced Analytics -- Chapter 13. Security for Data in IOT Using A Newaps Elliptic Curve Light Weight Cryptography Algorithm -- Chapter 14. Feature Selection Strategy for Academic Datasets Using Correlation Analysis -- Chapter 15. Exploration of Magnetic Resonance Imaging for Prognosis of Alzheimer Disease Using Convolutional Neural Network. . |
Record Nr. | UNINA-9910484330403321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Deep convolutional neural network for the prognosis of diabetic retinopathy / / A. Shanthini, Gunasekaran Manogaran and G. Vadivu |
Autore | Shanthini A. |
Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (80 pages) |
Disciplina | 617.735 |
Collana | Series in bioengineering |
Soggetto topico |
Diabetic retinopathy
Diabetic retinopathy - Diagnosis Neural networks (Computer science) |
ISBN | 981-19-3877-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910627254903321 |
Shanthini A. | ||
Singapore : , : Springer, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Proceedings of international conference on deep learning, computing and intelligence : ICDCI 2021 / / Gunasekaran Manogaran, A. Shanthini, G. Vadivu, editors |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] |
Descrizione fisica | 1 online resource (698 pages) |
Disciplina | 006.31 |
Collana | Advances in intelligent systems and computing |
Soggetto topico |
Artificial intelligence
Computer science Deep learning (Machine learning) |
ISBN |
981-16-5651-7
981-16-5652-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910743227403321 |
Singapore : , : Springer Nature Singapore Pte Ltd., , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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