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| Autore: |
Kumar Sandeep
|
| Titolo: |
Proceedings of International Conference on Information Technology and Artificial Intelligence : ITAI 2025, Volume 3 / / edited by Sandeep Kumar, Robin T. Bye, Mukesh Prasad
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (694 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Image processing - Digital techniques | |
| Computer vision | |
| Data protection | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Data and Information Security | |
| Altri autori: | KumarUthaya |
| Nota di contenuto: | 1. A Comparative Analysis of Deepfake Detection using Traditional Image Analysis, SVM, RNN, CNN and GAN -- 2. A Hybrid Analysis of Android Malware Detection Method using Ensemble Learning -- 3. Ensemble Based Machine Learning for Chronic Diabetes Disease Prediction -- 4. IoT-Driven Predictive Analytics for Smart Agriculture Using Random Forest Algorithm -- 5. Various OCR techniques for the analysis and recognition of Kannada epigraph documents -- 6. AI-driven Drug Interaction Prediction for Enhanced Medication Safety Using Neural Networks -- 7. Classification of Watermelons based on Ripeness using Multimodal Data -- 8. Real-time landslide monitoring with IoT. |
| Sommario/riassunto: | This book presents a collection of high-quality, peer-reviewed research papers from First International Conference on Information Technology and Artificial Intelligence (ITAI 2025), organized by Soft Computing Research Society held in Gurgaon, India, from January 24 – 25, 2025. It covers topics such as artificial intelligence, data science and applications, cybersecurity, Internet of things, cloud computing, information retrieval, and knowledge management. |
| Titolo autorizzato: | Proceedings of International Conference on Information Technology and Artificial Intelligence ![]() |
| ISBN: | 981-9696-82-8 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911049183303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |