Δημοσιεύσεις - Συνέδρια
[Σ1] Sanida, T., Sideris, A., Sanida, M. V., Dossis, M., & Dasygenis,
M. (2024, September). Accelerating CNNs for Pneumonia Disease
Diagnosis via Heterogeneous FPGA Systems. In 2024 9th South-East
Europe Design Automation, Computer Engineering, Computer
Networks and Social Media Conference (SEEDA-CECNSM) (pp. 159-
162). IEEE.
[Σ2] Sanida, M. V., Sanida, T., Sideris, A., Dossis, M., & Dasygenis,
M. (2024, September). Fake News Detection Approach Using Hybrid
Deep Learning Framework. In 2024 9th SEEDA-CECNSM (pp. 81-
84). IEEE.
[Σ3] Sanida, T., Sideris, A., Sanida, M. V., Dossis, M., & Dasygenis,
M. (2023, November). An Efficiency CNN Solution for Olive Disease
Management Through FPGA. In 2023 8th SEEDA-CECNSM (pp. 1-
4). IEEE.
[Σ4] Sanida, T., Sanida, M. V., Sideris, A., Dossis, M., & Dasygenis,
M. (2023, November). Efficient Categorization of Pneumonia
Diagnosis Using Low-Power Embedded Devices. In 2023 8th
SEEDA-CECNSM (pp. 1-4). IEEE.
[Σ5] Sideris, A., Sanida, T., Sanida, M. V., Dossis, M., & Dasygenis,
M. (2023, November). Accelerate Processing of Image with the
Keccak-512 Algorithm on Cryptoprocessor. In 2023 8th SEEDA-
CECNSM (pp. 1-4). IEEE.
[Σ6] Sanida, T., Sideris, A., Sanida, M. V., Dossis, M., & Dasygenis,
M. (2023, November). Acceleration of GANs for Potato Crop Disease
Identification via FPGA. In 2023 8th SEEDA-CECNSM (pp. 1-4).
IEEE.
[Σ7] Sanida, T., Sanida, M. V., Sideris, A., & Dasygenis, M. (2023,
June). A Lightweight CNN Model for Tomato Crop Diseases on
Heterogeneous Embedded System. In 2023 12th MOCAST (pp. 1-4).
IEEE.
[Σ8] Sanida, T., Sideris, A., Chatzisavvas, A., Dossis, M., &
Dasygenis, M. (2022, September). Radiography Images with Transfer
Learning on Embedded System. In 2022 7th SEEDA-CECNSM (pp.
1-4). IEEE.
[Σ9] Sideris, A., Sanida, T., Chatzisavvas, A., Dossis, M., &
Dasygenis, M. (2022, September). High Throughput of Image
Processing with Keccak Algorithm using Microprocessor on FPGA. In
2022 7th SEEDA-CECNSM (pp. 1-4). IEEE.
[Σ10] Sideris, A., Sanida, T., Tsiktsiris, D., & Dasygenis, M. (2022).
Image hashing based on SHA-3 implemented on FPGA. In Recent
Advances in Manufacturing Modelling and Optimization: Select
Proceedings of RAM 2021 (pp. 521-530). Springer, Singapore.
[Σ11] Tsiktsiris, D., Sanida, T., Sideris, A., & Dasygenis, M. (2022).
Accelerated Defective Product Inspection on the Edge Using Deep
Learning. In Recent Advances in Manufacturing Modelling and
Optimization: Select Proceedings of RAM 2021 (pp. 185-191).
Springer, Singapore.
[Σ12] Sanida, T., Tsiktsiris, D., Sideris, A., & Dasygenis, M. (2021,
July). A Heterogeneous Lightweight Network for Plant Disease
Classification. In 2021 10th MOCAST (pp. 1-4). IEEE.
[Σ13] Sideris, A., Sanida, T., & Dasygenis, M. (2020, December).
High
throughput
pipelined
implementation
of
the
SHA-3
cryptoprocessor. In 2020 32nd ICM (pp. 1-4). IEEE.
[Σ14] Sanida, T., Sideris, A., & Dasygenis, M. (2020, September).
Accelerating the AES algorithm using OpenCL. In 2020 9th MOCAST
(pp. 1-4). IEEE.
[Σ15] Sanida, T., Sideris, A., & Dasygenis, M. (2020, September). A
heterogeneous implementation of the Sobel edge detection filter
using OpenCL. In 2020 9th MOCAST (pp. 1-4). IEEE.
[Σ16] Sideris, A., Sanida, T., & Dasygenis, M. (2019, November).
Hardware acceleration of the AES algorithm using Nios-II processor.
In 2019 PACET (pp. 1-5). IEEE.
[Σ17] Sideris, A., Sanida, T., & Dasygenis, M. (2019, May).
Hardware acceleration of SHA-256 algorithm using Nios-II processor.
In 2019 8th MOCAST (pp. 1-4). IEEE.
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