Paolo Lindia

11 papers C 2Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing energy efficiency in cloud computing through regression models: A data-driven approach with experimental validation.
Future Gener. Comput. Syst.
Eugenio Cesario, Paolo Lindia, Federica Lobello, Andrea Vinci, Santina Capalbo
2026 J jnl
Operational state classification of agricultural Machinery using GNSS Data: A Minimal-Input approach for field efficiency assessment.
Comput. Electron. Agric.
Francesco Bettucci, Paolo Lindia, Paolo Trunfio, Luigi Sartori
2025 J jnl
Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What's the Best Approach for Crime Forecasting?
IEEE Access
Eugenio Cesario, Paolo Lindia, Andrea Vinci
2025 — conf
Enhancing Cloud Energy Efficiency through Predictive Machine Learning for Inter- and Intra-Data Center VM Consolidation.
Green-Aware AI@ECAI
Santina Capalbo, Eugenio Cesario, Paolo Lindia, Federica Lobello, Andrea Vinci
2025 C conf
Improving Cloud Energy Efficiency through Machine Learning Models.
PDP
Eugenio Cesario, Paolo Lindia, Federica Lobello, Andrea Vinci, Shabnam Zarin, Santina Capalbo
2024 J jnl
A scalable multi-density clustering approach to detect city hotspots in a smart city.
Future Gener. Comput. Syst.
Eugenio Cesario, Paolo Lindia, Andrea Vinci
2024 — conf
Enhancing the Evaluation of Fault Detection Models in Smart Agriculture Using LLM Agents for Rule-Based Anomaly Generation.
GreenAI@AI*IA
Paolo Lindia, Riccardo Cantini, Francesco Bettucci, Luigi Sartori, Paolo Trunfio
2024 J jnl
Multi-density crime predictor: an approach to forecast criminal activities in multi-density crime hotspots.
J. Big Data
Eugenio Cesario, Paolo Lindia, Andrea Vinci
2024 C conf
Towards a Hierarchical Exascale Framework for Iterative Parallel Data Analysis Algorithms.
PDP
Eugenio Cesario, Paolo Lindia
2023 J jnl
Detecting Multi-Density Urban Hotspots in a Smart City: Approaches, Challenges and Applications.
Big Data Cogn. Comput.
Eugenio Cesario, Paolo Lindia, Andrea Vinci
2023 — conf
How to Deal with Different Densities of Urban Spatial Data? A Comparison of Clustering Approaches to Detect City Hotspots.
NUMTA (3)
Eugenio Cesario, Paolo Lindia, Andrea Vinci