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10th BDCAT 2023: Taormina (Messina), Italy
- Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2023, Taormina (Messina), Italy, December 4-7, 2023. ACM 2023
- Richard O. Sinnott
, Siqi Zhong
Real-time Route Planning to Reduce Pedestrian Pollution Exposure in Urban Settings. 01:1-01:10 - Marco Stang
Improving the Validation of Automotive Self-Learning Systems through the Synergy of Scenario-Based Testing and Metamorphic Relations. 02:1-02:7 - Issar Arab
EPSAPG: A Pipeline Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles. 03:1-03:9 - Till Smejkal
Sleep Well: Pragmatic Analysis of the Idle States of Intel Processors. 04:1-04:10 - Julia Kaeppel
Workload-Aware Cache Management of Bitmap Indices. 05:1-05:10 - Menuka Warushavithana
A Framework for Profiling Spatial Variability in the Performance of Classification Models. 06:1-06:11 - Paul Agbaje
Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning. 07:1-07:8 - Hayatullahi Bolaji Adeyemo
An Approach for Dynamic Behavioural Prediction and Fault Injection in Cyber-Physical Systems. 08:1-08:6 - Julien Bertieaux
Cardiotocography Signal Abnormality Detection Based on Deep Semi-Unsupervised Learning. 09:1-09:10 - Corrado Mio
Strengthening Food Security: A Comparison of Food Import Forecasting Models. 10:1-10:6 - Saptashwa Mitra
Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets. 11:1-11:11 - Minjuan Zhang
Big Data-Driven Portfolio Simplification: Leveraging Self-Labeled Clustering to Enhance Decision-Making. 12:1-12:6 - Mario Colosi
Cloud-Edge-Client Continuum: Leveraging Browsers as Deployment Nodes with Virtual Pods. 13:1-13:10 - Anestis Kaimakamidis
Facilitating Experimental Reproducibility in Neural Network Research with a Unified Framework. 14:1-14:5 - Nathaniel Hudson
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. 15:1-15:10 - Matthaios Dimitrios Tzimas
Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management. 16:1-16:6 - Fabio Casule
Methodology and elaboration of model for Map of Wildfire Risk: Application of Deep learning in the Regional Forest Fire Plan for the Region of Sardinia. 17:1-17:4 - Lorenzo Carnevale
Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture. 18:1-18:6 - Mario Colosi
EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management. 19:1-19:4 - Roberto Marino
Make Federated Learning a Standard in Robotics by Using ROS2. 20:1-20:6 - Andrea Livaldi
The REThinkWASTE data integration and analytics platform for intelligent waste management. 21:1-21:6 - Taehyeon Kim
WiFi's Unspoken Tales: Deep Neural Network Decodes Human Behavior from Channel State Information. 22:1-22:2 - Myeongseop Kim
Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces. 23:1-23:2 - Lorenzo Carnevale
Computation of the Abdominal Compliance for Pediatric Laparoscopy by Fitting Curve with the Levenberg-Marquardt Algorithm. 24:1-24:2 - Roberto Marino
OpenSEM: an Open Framework for Data-Driven Structural and Environmental Monitoring. 25:1-25:2 - Alexandros Troupiotis-Kapeliaris
A Digital Twin for Maritime Situational Awareness. 26:1-26:2 - Aicha Aiche
Trust Management In IoT Drinking Water Treatment Plants. 27:1-27:2 - Yash Ranjith
2D and 3D Physics Informed Neural Networks to Model Pollution Spread with Obstructions. 28:1-28:2
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