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ORCID10th 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, Martin Sommer, David Kraus, Eric Sax:
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, Jan Bierbaum, Thomas Oberhauser, Horst Schirmeier, Hermann Härtig:
Sleep Well: Pragmatic Analysis of the Idle States of Intel Processors. 04:1-04:10 - Julia Kaeppel, Jason Sawin, David Chiu:
Workload-Aware Cache Management of Bitmap Indices. 05:1-05:10 - Menuka Warushavithana, Kassidy Barram, Caleb Carlson, Saptashwa Mitra, Sudipto Ghosh, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
A Framework for Profiling Spatial Variability in the Performance of Classification Models. 06:1-06:11 - Paul Agbaje, Afia Anjum, Arkajyoti Mitra, Sena Hounsinou, Ebelechukwu Nwafor, Habeeb Olufowobi:
Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning. 07:1-07:8 - Hayatullahi Bolaji Adeyemo, Rami Bahsoon, Peter Tino:
An Approach for Dynamic Behavioural Prediction and Fault Injection in Cyber-Physical Systems. 08:1-08:6 - Julien Bertieaux, Mohammadhadi Shateri, Fabrice Labeau, Thierry Dutoit:
Cardiotocography Signal Abnormality Detection Based on Deep Semi-Unsupervised Learning. 09:1-09:10 - Corrado Mio, Siddhartha Shakya, Himadri Sikhar Khargharia, Dymitr Ruta, Subey Dengur, Aysha Ali Saif Al Shamisi, Asma Alawneh:
Strengthening Food Security: A Comparison of Food Import Forecasting Models. 10:1-10:6 - Saptashwa Mitra, Matthew Young, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets. 11:1-11:11 - Minjuan Zhang, Chase Q. Wu, Aiqin Hou:
Big Data-Driven Portfolio Simplification: Leveraging Self-Labeled Clustering to Enhance Decision-Making. 12:1-12:6 - Mario Colosi, Marco Garofalo, Antonino Galletta, Maria Fazio, Antonio Celesti, Massimo Villari:
Cloud-Edge-Client Continuum: Leveraging Browsers as Deployment Nodes with Virtual Pods. 13:1-13:10 - Anestis Kaimakamidis, Ioannis Pitas:
Facilitating Experimental Reproducibility in Neural Network Research with a Unified Framework. 14:1-14:5 - Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. 15:1-15:10 - Matthaios Dimitrios Tzimas, Christos Papaioannidis, Vasileios Mygdalis, Ioannis Pitas:
Evaluating Deep Neural Network-based Fire Detection for Natural Disaster Management. 16:1-16:6 - Fabio Casule, Romina Secci, Antonio Usai, Mauro Merella:
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, Antonio Filograna, Francesco Arigliano, Roberto Marino, Armando Ruggeri, Maria Fazio:
Supporting the Natural Disaster Management Distributing Federated Intelligence over the Cloud-Edge Continuum: the TEMA Architecture. 18:1-18:6 - Mario Colosi, Marco Garofalo, Lorenzo Carnevale, Roberto Marino, Maria Fazio, Massimo Villari:
EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management. 19:1-19:4 - Roberto Marino, Lorenzo Carnevale, Maria Fazio, Massimo Villari:
Make Federated Learning a Standard in Robotics by Using ROS2. 20:1-20:6 - Andrea Livaldi, Sonia Bergamaschi, Mirko Orsini, Luca Magnotta, Riccardo Venturi, Stefano Gabri:
The REThinkWASTE data integration and analytics platform for intelligent waste management. 21:1-21:6 - Taehyeon Kim, Seho Park, Myeongseop Kim:
WiFi's Unspoken Tales: Deep Neural Network Decodes Human Behavior from Channel State Information. 22:1-22:2 - Myeongseop Kim, Taehyeon Kim:
Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces. 23:1-23:2 - Lorenzo Carnevale, Giuseppe Floramo, Donatella Di Fabrizio, Salvatore Arena, Angela Simona Montalto, Pietro Impellizzeri, Carmelo Romeo:
Computation of the Abdominal Compliance for Pediatric Laparoscopy by Fitting Curve with the Levenberg-Marquardt Algorithm. 24:1-24:2 - Roberto Marino, Antonino Marino, Domenica De Domenico, Lorenzo Carnevale, Salvatore Magazù:
OpenSEM: an Open Framework for Data-Driven Structural and Environmental Monitoring. 25:1-25:2 - Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos, Georgios Grigoropoulos, Evangelia Filippou, Ilias Chamatidis, Marios Vodas, Manolis Kaliorakis, Dimitris Zissis:
A Digital Twin for Maritime Situational Awareness. 26:1-26:2 - Aicha Aiche, Pierre-Martin Tardif, Mohammed Erritali:
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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