A novel microclimate forecasting system architecture integrating GPS measurements and meteorological-sensor data. - Nicholas Zinas; Sotirios Kontogiannis; George Kokkonis; Christos Pikridas (BCI, 2013)

Robust pose estimation through visual/GNSS mixing. - Petros Patias; Vassilios Tsioukas; Christos Pikridas; Fotis Patonis; Charalampos Georgiadis (VSMM, 2016)

Project - Balkan-Mediterranean Real Time Severe Weather Service. - Haris Haralambous; Christina Oikonomou; Christos Pikridas; Konstantinos Lagouvardos; Vassiliki Kotroni; Guergana Guerova; Filippos Tymvios; Tsvetelina Dimitrova (IGARSS, 2019)

Supporting the Wellness at Work and Productivity of Ageing Employees in Industrial Environments: The sustAGE Project. - Maria Pateraki; Manolis I. A. Lourakis; Leonidas Kallipolitis; Frank Werner 003; Petros Patias; Christos Pikridas (ERCIM News, 2019)

Assessing the Impact of GNSS ZTD Data Assimilation into the WRF Modeling System during High-Impact Rainfall Events over Greece. - Christos Giannaros; Vassiliki Kotroni; Konstantinos Lagouvardos; Theodore M. Giannaros; Christos Pikridas (Remote. Sens., 2020)

Proposed Industry 4.0 Maintenance framework for critical and demanding infrastructures and processes. - Vasileios Karaiskos; Nikolaos Zinas; Theodosios Gkamas; Ion Anastasios Karolos; Christos Pikridas; Nikolaos Vrettos; Vasileios Tsioukas; Sotirios Kontogiannis (SEEDA-CECNSM, 2022)

Performance of a Low-Cost Dual-Frequency GNSS Receiver for Near Real-Time Water Vapor Estimation. - Christina Oikonomou; Ion Anastasios Karolos; Stylianos Bitharis; Christos Pikridas; Haris Haralambous (ICASSP Workshops, 2023)

Deep Learning Stranded Neural Network Model for the Detection of Sensory Triggered Events. - Sotirios Kontogiannis; Theodosios Gkamas; Christos Pikridas (Algorithms, 2023)

Proposed Fuzzy-Stranded-Neural Network Model That Utilizes IoT Plant-Level Sensory Monitoring and Distributed Services for the Early Detection of Downy Mildew in Viticulture. - Sotirios Kontogiannis; Stefanos Koundouras; Christos Pikridas (Comput., 2024)

A Cloud-Based Deep Learning Framework for Downy Mildew Detection in Viticulture Using Real-Time Image Acquisition from Embedded Devices and Drones. - Sotirios Kontogiannis; Myrto Konstantinidou; Vasileios Tsioukas; Christos Pikridas (Inf., 2024)