Elenco Pubblicazioni - Publications (1670)
C. Bua, L. Borgianni, D. Adami, S. Giordano: “Reinforcement Learning-Driven Digital Twin for Zero-Delay Communication in Smart Greenhouse Robotics”, Agriculture 2025, June 2025.
Written by CRISTIAN BUA
This study presents a networked cyber-physical architecture that integrates a Reinforcement Learning-based Digital Twin (DT) to enable zero-delay interaction between physical and digital components in smart agriculture. The proposed system allows real-time remote control of…
C. Bua, F. Fiorini, M. Pagano, D. Adami, S. Giordano: “Low-Complexity Microclimate Classifica-tion in Smart Greenhouses: A Fuzzy-Neural Approach”, Future Internet 2025, May 2025.
Written by CRISTIAN BUA
Maintaining optimal microclimatic conditions within greenhouses represents a significant challenge in modern agricultural contexts, where prediction systems play a crucial role in regulating temperature and humidity, thereby enabling timely interventions to prevent plant diseases or…
C. Bua, D. Adami, S. Giordano: “What Is the Optimal Sampling Time of Environmental Parameters? Fourier Analysis and Energy Harvesting to Reduce Sensors Consumption in Smart Greenhouses”, AgriEngineering 2025, March 2025.
Written by CRISTIAN BUA
Smart greenhouses offer crucial solutions for reducing our atmospheric impact and resource waste. However, two fundamental challenges persist in their implementation, massive energy consumption and a high level of human intervention, particularly for sensor battery…
C. Bua, L. Borgianni, D. Adami, S. Giordano: "Digital Twin for Remote Control of Robotic Arm via Wearable Glove in Smart Agriculture", 2025 IEEE Wireless Communications and Networking Conference (WCNC), March 2025.
Written by CRISTIAN BUA
Smart agriculture is experiencing rapid transformation through innovative Agritech solutions. Robotic Arms (RAs) and Sensor-equipped Wearable Gloves (SWGs) are critical tools for performing high-precision tasks in controlled environments like hydroponic greenhouses. Digital Twin (DT) technology…
C. Bua, F. Fiorini, D. Adami, S. Giordano: “Cloud-Trained Neural Networks on Microcontrollers for IoT Applications: an Educational Perspective with LittleBits”, IEEE Symposium on Computers and Communications (ISCC), July 2025.
Written by CRISTIAN BUA
The integration of machine learning on microcontrollers at the extreme edge of the network is gaining significance for various Internet of Things applications. This paradigm shift enables real-time data processing and decisionmaking directly on the…
News
- NUOVE DATE CORSO - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 17-20 November 2025
- MODIFICA DATE CORSO - Prof. Martina Brofiga, University of Genova - Italy, "Innovations in In vitro Neuronal Engineering: bridging biology and technology", 22-30 September 2025
- Prof. Matteo Palma, Queen Mary University of London – U.K, “Nano(bio)technology strategies for smart materials, devices, and systems", 8-19 September 2025
- Prof. Jens C. Schwamborn, University of Luxembourg - Luxembourg Centre for Systems Biomedicine, "Current advances in brain organoid science", 22-26 September 2025
- MODIFICA AULA - Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
