T. Sanida, A. Sideris, M. V. Sanida, and M. Dasygenis,
“Tomato leaf disease identification via two–stage transfer learning approach”,
Smart Agricultural Technology, Vol. 5, p. 100275, 2023.
93 citations
C. Roumeliotis, M. Dasygenis, V. Lazaridis, and M. Dossis,
“Blockchain and digital twins in smart industry 4.0: The use case of supply chain—a review of integration techniques and applications”,
Designs, Vol. 8, No. 6, p. 105, 2024.
89 citations
N. Baras, G. Nantzios, D. Ziouzios, and M. Dasygenis,
“Autonomous obstacle avoidance vehicle using lidar and an embedded system”,
in 8th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1–4, 2019.
80 citations
M. V. Sanida, T. Sanida, A. Sideris, and M. Dasygenis,
“An efficient hybrid CNN classification model for tomato crop disease”,
Technologies, Vol. 11, No. 1, p. 10, 2023.
76 citations
D. Ziouzios, D. Tsiktsiris, N. Baras, and M. Dasygenis,
“A distributed architecture for smart recycling using machine learning”,
Future Internet, Vol. 12, No. 9, p. 141, 2020.
73 citations
D. Ziouzios and M. Dasygenis,
“A smart recycling bin for waste classification”,
in Panhellenic Conference on Electronics & Telecommunications (PACET), pp. 1–4, 2019.
64 citations
D. Ziouzios, N. Baras, V. Balafas, M. Dasygenis, and A. Stimoniaris,
“Intelligent and real-time detection and classification algorithm for recycled materials using convolutional neural networks”,
Recycling, Vol. 7, No. 1, p. 9, 2022.
62 citations
A. Chatzisavvas, M. Dossis, and M. Dasygenis,
“Optimizing mobile robot navigation based on A-star algorithm for obstacle avoidance in smart agriculture”,
Electronics, Vol. 13, No. 11, p. 2057, 2024.
57 citations
D. Soudris, N. D. Zervas, A. Argyriou, M. Dasygenis, K. Tatas, C. E. Goutis, and A. Thanailakis,
“Data-reuse and parallel embedded architectures for low-power, real-time multimedia applications”,
in International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), pp. 203–212, 2000.
55 citations
M. V. Sanida, T. Sanida, A. Sideris, and M. Dasygenis,
“An advanced deep learning framework for multi-class diagnosis from chest X-ray images”,
J, Vol. 7, No. 1, pp. 48–71, 2024.
50 citations