Vai al contenuto principale della pagina

Artificial Intelligence and Digital Twin Technology : 1st International Conference, IconAIDTT 2023, Sivakasi, India, April 26–28, 2023, Proceedings / / edited by Valarmathi K., Ramathilagam A., Sankarganesh Seeni, Utku Kose, Bui Thanh Hung, Kottilingam Kottursamy



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: K Valarmathi Visualizza persona
Titolo: Artificial Intelligence and Digital Twin Technology : 1st International Conference, IconAIDTT 2023, Sivakasi, India, April 26–28, 2023, Proceedings / / edited by Valarmathi K., Ramathilagam A., Sankarganesh Seeni, Utku Kose, Bui Thanh Hung, Kottilingam Kottursamy Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (173 pages)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Artificial intelligence
Machine learning
Expert systems (Computer science)
Data mining
Computational Intelligence
Artificial Intelligence
Machine Learning
Knowledge Based Systems
Data Mining and Knowledge Discovery
Altri autori: ARamathilagam  
SeeniSankarganesh  
KoseUtku  
HungBui Thanh  
KottursamyKottilingam  
Nota di contenuto: -- Advanced AI and IoT Solutions for Environmental, Healthcare, and Security Challenges. -- A Novel Approach for Enhancing the Security and Performance of Wireless Sensor Networks With a Single Cluster with Multi-Hop Communication. -- A Hybrid Machine Learning Model for Position Falsification Attacks for Intrusion Detection in VANET. -- Covid-19 Detection using AI Deep modified Resnet model from Human Chest X-ray Images. -- A Blockchain with RB-BM23-1 Method Used To Secure The Analyzed Data. -- Development of an Interactive Road Safety System using a smart helmet for Bike users to avoid bike accidents. -- Customer relationship management a Decision Support System: bibliometric analysis 1990-2023 . -- Deep Learning Techniques for Wireless networks and Data Analysis. -- Wireless Sensor Network-Based Wireless Safety System Using Underground Mine Workers. -- A Meticulous Analysis On Energy-Based Routing Protocol In Underwater Sensor Networks. -- An IOT Based Smart Agriculture Monitoring System for Precision Farming. -- Age-Based Content Display By Using Face Recognition. -- IoT-enabled Heart Disease Accuracy Prediction of Healthcare Dataset using Deep Belief Network. -- Handwriting Analysis for Bank Cheque Verification using EfficientNet. -- An Intensive Approach To Solve Linguistic Issue Using Data Mining And Ontology Based Advanced Algorithms.
Sommario/riassunto: This book constitutes papers from the 1st International Conference on Artificial Intelligence and Digital Twin Technology, IconAIDTT 2023, held in Sivakasi, India, April 26–28, 2023. The 12 full papers and the 1 short paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: Advanced AI and IoT Solutions for Environmental, Healthcare, and Security Challenges; Deep Learning Techniques for Wireless networks and Data Analysis.
Titolo autorizzato: Artificial Intelligence and Digital Twin Technology  Visualizza cluster
ISBN: 9783031777998
3031777999
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910918590803321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 1972