A Lightweight CNN Model for Tomato Crop Diseases on Heterogeneous Embedded System. - Theodora Sanida; Maria Vasiliki Sanida; Argyrios Sideris; Minas Dasygenis (MOCAST, 2023)

Efficient Categorization of Pneumonia Diagnosis Using Low-Power Embedded Devices. - Theodora Sanida; Maria Vasiliki Sanida; Argyrios Sideris; Michael Dossis; Minas Dasygenis (SEEDA-CECNSM, 2023)

An Efficiency CNN Solution for Olive Disease Management Through FPGA. - Theodora Sanida; Argyrios Sideris; Maria Vasiliki Sanida; Michael Dossis; Minas Dasygenis (SEEDA-CECNSM, 2023)

Acceleration of GANs for Potato Crop Disease Identification via FPGA. - Theodora Sanida; Argyrios Sideris; Maria Vasiliki Sanida; Michael Dossis; Minas Dasygenis (SEEDA-CECNSM, 2023)

Accelerate Processing of Image with the Keccak-512 Algorithm on Cryptoprocessor. - Argyrios Sideris; Theodora Sanida; Maria Vasiliki Sanida; Michael Dossis; Minas Dasygenis (SEEDA-CECNSM, 2023)

A Robust Hybrid Deep Convolutional Neural Network for COVID-19 Disease Identification from Chest X-ray Images. - Theodora Sanida; Irene-Maria Tabakis; Maria Vasiliki Sanida; Argyrios Sideris; Minas Dasygenis (Inf., 2023)

Fake News Detection Approach Using Hybrid Deep Learning Framework. - Maria Vasiliki Sanida; Theodora Sanida; Argyrios Sideris; Michael Dossis; Minas Dasygenis (SEEDA-CECNSM, 2024)

Accelerating CNNs for Pneumonia Disease Diagnosis via Heterogeneous FPGA Systems. - Theodora Sanida; Argyrios Sideris; Maria Vasiliki Sanida; Michael Dossis; Minas Dasygenis (SEEDA-CECNSM, 2024)