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2020 – today
- 2024
[j6]Theodora Sanida
, Minas Dasygenis:
A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded system. Appl. Intell. 54(6): 4756-4780 (2024)- [j5]Argyrios Sideris, Theodora Sanida, Minas Dasygenis:
Hardware acceleration design of the SHA-3 for high throughput and low area on FPGA. J. Cryptogr. Eng. 14(2): 193-205 (2024) - [j4]Theodora Sanida, Minas Dasygenis:
MiniTomatoNet: a lightweight CNN for tomato leaf disease recognition on heterogeneous FPGA-SoC. J. Supercomput. 80(15): 21837-21866 (2024) - 2023
- [j3]Theodora Sanida, Irene-Maria Tabakis, Maria Vasiliki Sanida, Argyrios Sideris, Minas Dasygenis:
A Robust Hybrid Deep Convolutional Neural Network for COVID-19 Disease Identification from Chest X-ray Images. Inf. 14(6): 310 (2023) - [j2]Argyrios Sideris, Theodora Sanida, Minas Dasygenis:
A Novel Hardware Architecture for Enhancing the Keccak Hash Function in FPGA Devices. Inf. 14(9): 475 (2023) - [c13]Theodora Sanida, Maria Vasiliki Sanida, Argyrios Sideris, Minas Dasygenis:
A Lightweight CNN Model for Tomato Crop Diseases on Heterogeneous Embedded System. MOCAST 2023: 1-4 - [c12]Theodora Sanida, Maria Vasiliki Sanida, Argyrios Sideris, Michael Dossis, Minas Dasygenis:
Efficient Categorization of Pneumonia Diagnosis Using Low-Power Embedded Devices. SEEDA-CECNSM 2023: 1-4 - [c11]Theodora Sanida, Argyrios Sideris, Maria Vasiliki Sanida, Michael Dossis, Minas Dasygenis:
An Efficiency CNN Solution for Olive Disease Management Through FPGA. SEEDA-CECNSM 2023: 1-4 - [c10]Theodora Sanida, Argyrios Sideris, Maria Vasiliki Sanida, Michael Dossis, Minas Dasygenis:
Acceleration of GANs for Potato Crop Disease Identification via FPGA. SEEDA-CECNSM 2023: 1-4 - [c9]Argyrios Sideris, Theodora Sanida, Maria Vasiliki Sanida, Michael Dossis, Minas Dasygenis:
Accelerate Processing of Image with the Keccak-512 Algorithm on Cryptoprocessor. SEEDA-CECNSM 2023: 1-4 - 2022
- [j1]Theodora Sanida, Dimitris Tsiktsiris, Argyrios Sideris, Minas Dasygenis:
A heterogeneous implementation for plant disease identification using deep learning. Multim. Tools Appl. 81(11): 15041-15059 (2022) - [c8]Theodora Sanida, Argyrios Sideris, Antonios Chatzisavvas, Michael F. Dossis, Minas Dasygenis:
Radiography Images with Transfer Learning on Embedded System. SEEDA-CECNSM 2022: 1-4 - [c7]Argyrios Sideris, Theodora Sanida, Antonios Chatzisavvas, Michael F. Dossis, Minas Dasygenis:
High Throughput of Image Processing with Keccak Algorithm using Microprocessor on FPGA. SEEDA-CECNSM 2022: 1-4 - 2021
- [c6]Theodora Sanida, Dimitris Tsiktsiris, Argyrios Sideris, Minas Dasygenis:
A Heterogeneous Lightweight Network for Plant Disease Classification. MOCAST 2021: 1-4 - 2020
- [c5]Argyrios Sideris, Theodora Sanida, Minas Dasygenis:
High Throughput Pipelined Implementation of the SHA-3 Cryptoprocessor. ICM 2020: 1-4 - [c4]Theodora Sanida, Argyrios Sideris, Minas Dasygenis:
Accelerating the AES Algorithm using OpenCL. MOCAST 2020: 1-4 - [c3]Theodora Sanida, Argyrios Sideris, Minas Dasygenis:
A Heterogeneous Implementation of the Sobel Edge Detection Filter Using OpenCL. MOCAST 2020: 1-4
2010 – 2019
- 2019
- [c2]Argirios Sideris, Theodora Sanida, Minas Dasygenis:
Hardware Acceleration of SHA-256 Algorithm Using NIOS-II Processor. MOCAST 2019: 1-4 - 2017
- [c1]Theodora Sanida, Iraklis Varlamis:
Application of Affinity Analysis Techniques on Diagnosis and Prescription Data. CBMS 2017: 403-408
Coauthor Index
aka: Argyrios Sideris
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