Performance assessment of an IEEE 802.11-based protocol for real-time communication in agriculture. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto; Raffaele Parrozzani (ETFA, 2014)

Distributed fault detection in sensor networks via clustering and consensus. - Gianluca Bianchin; Angelo Cenedese; Michele Luvisotto; Giulia Michieletto (CDC, 2015)

Improved Rate Adaptation strategies for real-time industrial IEEE 802.11n WLANs. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto (ETFA, 2015)

Enhancing the real-time behavior of IEEE 802.11n. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto (WFCS, 2015)

The IEEE 802.11n wireless LAN for real-time industrial communication. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto; Andrea Zanella (WFCS, 2015)

RCFD: A frequency-based channel access scheme for full-duplex wireless networks. - Michele Luvisotto; Alireza Sadeghi; Farshad Lahouti; Stefano Vitturi; Michele Zorzi (ICC, 2016)

Statistical QoS analysis of full duplex and half duplex heterogeneous cellular networks. - Alireza Sadeghi; Michele Luvisotto; Farshad Lahouti; Stefano Vitturi; Michele Zorzi (ICC, 2016)

Performance analysis of IEEE 802.11 Rate Selection for Industrial Networks. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto (IECON, 2016)

An innovative approach to rate adaptation in IEEE 802.11 real-time industrial networks. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto (WFCS, 2016)

On the Use of IEEE 802.11n for Industrial Communications. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto; Andrea Zanella (IEEE Trans. Ind. Informatics, 2016)

IEEE 802.11n for Distributed Measurement Systems. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto (I2MTC, 2017)

Real-time wireless extensions of industrial ethernet networks. - Michele Luvisotto; Alessia Tagliapietra; Stefano Romagnolo; Federico Tramarin; Stefano Vitturi (INDIN, 2017)

A learning algorithm for rate selection in real-time wireless LANs. - Michele Luvisotto; Federico Tramarin; Stefano Vitturi (Comput. Networks, 2017)

Analysis of Statistical QoS in Half Duplex and Full Duplex Dense Heterogeneous Cellular Networks. - Alireza Sadeghi; Michele Luvisotto; Farshad Lahouti; Michele Zorzi (CoRR, 2017)

Distributed Clustering Strategies in Industrial Wireless Sensor Networks. - Angelo Cenedese; Michele Luvisotto; Giulia Michieletto (IEEE Trans. Ind. Informatics, 2017)

Ultra High Performance Wireless Control for Critical Applications: Challenges and Directions. - Michele Luvisotto; Zhibo Pang; Dacfey Dzung (IEEE Trans. Ind. Informatics, 2017)

Physical Layer Design of High-Performance Wireless Transmission for Critical Control Applications. - Michele Luvisotto; Zhibo Pang; Dacfey Dzung; Ming Zhan; Xiaolin Jiang 001 (IEEE Trans. Ind. Informatics, 2017)

A Dynamic Rate Selection Algorithm for IEEE 802.11 Industrial Wireless LAN. - Federico Tramarin; Stefano Vitturi; Michele Luvisotto (IEEE Trans. Ind. Informatics, 2017)

Assessing the Impact of Full-Duplex Wireless in Real-Time Industrial Networks. - Michele Luvisotto; Federico Tramarin; Stefano Vitturi (IECON, 2018)

Authentication Based on Channel State Information for Industrial Wireless Communications. - Fei Pan; Zhibo Pang; Michele Luvisotto; Xiaolin Jiang 001; Roger N. Jansson; Ming Xiao 001; Hong Wen 001 (IECON, 2018)

RCFD: A Novel Channel Access Scheme for Full-Duplex Wireless Networks Based on Contention in Time and Frequency Domains. - Michele Luvisotto; Alireza Sadeghi; Farshad Lahouti; Stefano Vitturi; Michele Zorzi (IEEE Trans. Mob. Comput., 2018)

On the Use of LoRaWAN for Indoor Industrial IoT Applications. - Michele Luvisotto; Federico Tramarin; Lorenzo Vangelista; Stefano Vitturi (Wirel. Commun. Mob. Comput., 2018)

Latency Performance of 5G New Radio for Critical Industrial Control Systems. - Xiaolin Jiang 001; Michele Luvisotto; Zhibo Pang; Carlo Fischione (ETFA, 2019)

Temperature Prediction Intelligent System Based on BP Neural Network in Wireless Industrial IoT. - Hairong Yan; Kai Lu; Michele Luvisotto; Siyu Jiang (SmartIoT, 2019)

Location aided commissioning of building automation devices enabled by high accuracy indoor positioning. - Zhibo Pang; Binbin Xie; Hui Zhu; Michele Luvisotto (J. Ind. Inf. Integr., 2019)

Real-time and non-intrusive on-site diagnosis for commissioning wireless sensor and actuator networks in building automation. - Zhibo Pang; Hui Zhu; Binbin Xie; Michele Luvisotto (J. Ind. Inf. Integr., 2019)

Packet Detection by a Single OFDM Symbol in URLLC for Critical Industrial Control: A Realistic Study. - Xiaolin Jiang 001; Zhibo Pang; Ming Zhan; Dacfey Dzung; Michele Luvisotto; Carlo Fischione (IEEE J. Sel. Areas Commun., 2019)

High-Performance Wireless Networks for Industrial Control Applications: New Targets and Feasibility. - Michele Luvisotto; Zhibo Pang; Dacfey Dzung (Proc. IEEE, 2019)

Threshold-Free Physical Layer Authentication Based on Machine Learning for Industrial Wireless CPS. - Fei Pan; Zhibo Pang; Hong Wen 001; Michele Luvisotto; Ming Xiao 001; Runfa Liao; Jie Chen 078 (IEEE Trans. Ind. Informatics, 2019)

IEEE Access Special Section Editorial: Proximity Service (Prose) Challenges and Applications. - Yufeng Wang 001; Qun Jin; Jianhua Ma 002; Klimis S. Ntalianis; Md. Zakirul Alam Bhuiyan; Michele Luvisotto (IEEE Access, 2020)

A Look Inside 5G Standards to Support Time Synchronization for Smart Manufacturing. - István Gódor; Michele Luvisotto; Stefano Ruffini; Kun Wang; Dhruvin Patel; Joachim Sachs; Ognjen Dobrijevic; Daniel Philip Venmani; Olivier Le Moult; José Costa-Requena; Aapo Poutanen; Chris Marshall; et al. (IEEE Commun. Stand. Mag., 2020)

Delay Optimization for Industrial Wireless Control Systems Based on Channel Characterization. - Xiaolin Jiang 001; Zhibo Pang; Michele Luvisotto; Richard Candell; Dacfey Dzung; Carlo Fischione (IEEE Trans. Ind. Informatics, 2020)

Towards High-Performance Wireless Control: $10^{-7}$ Packet Error Rate in Real Factory Environments. - Ming Zhan; Zhibo Pang; Dacfey Dzung; Michele Luvisotto; Kan Yu 002; Ming Xiao 001 (IEEE Trans. Ind. Informatics, 2020)

Reliable Minimum Cycle Time of 5G NR Based on Data-Driven Channel Characterization. - Xiaolin Jiang 001; Michele Luvisotto; Zhibo Pang; Carlo Fischione (IEEE Trans. Ind. Informatics, 2021)

Guest Editorial: Industrial Cyber-Physical Systems - New Trends in Computing and Communications. - Federico Tramarin; Michele Luvisotto; Andreas Willig; Kan Yu 002 (IEEE Trans. Ind. Informatics, 2021)

Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers. - Federica Bragone; Khaoula Oueslati; Tor Laneryd; Michele Luvisotto; Kateryna Morozovska (ICMLA, 2022)

Physics-Informed Neural Networks for prediction of transformer's temperature distribution. - Oliver Welin Odeback; Federica Bragone; Tor Laneryd; Michele Luvisotto; Kateryna Morozovska (ICMLA, 2022)