Dr. Ehsan Sedgh Gooya Profile

Dr. Ehsan Sedgh Gooya

at Institut Supérieur d'Electronique du Nord

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 7 June 2024 Poster + Paper

Optimizing network sensors using unsupervised machine-learning approach to identify a pollutant source

Sidi Mohammed Alaoui, Khalifa Djemal, Ehsan Sedgh Gooya, Amir Ali Feiz, Ayman Alfalou, Pierre Ngae

Proceedings Volume 13040, 130400N (2024) https://doi.org/10.1117/12.3013419

KEYWORDS: Sensors, Sensor networks, Machine learning, Environmental monitoring, Data modeling, Air quality, Monte Carlo methods, Wind speed, Detection and tracking algorithms, Design

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Proceedings Article | 13 June 2023 Presentation + Paper

Face recognition and access control applications of the generative classifier pix2pix

Raghida El Saj, Ehsan Sedgh Gooya, Ayman Alfalou, Mohamad Khalil

Proceedings Volume 12527, 1252708 (2023) https://doi.org/10.1117/12.2663380

KEYWORDS: Education and training, Databases, Facial recognition systems, Image classification, Gallium nitride, Data modeling, Control systems, Decision making, Biometrics, Artificial intelligence

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Proceedings Article | 13 June 2023 Presentation + Paper

Generative classifier pix2pix

Raghida El Saj, Ehsan Sedgh Gooya, Ayman Alfalou, Mohamad Khalil

Proceedings Volume 12527, 125270C (2023) https://doi.org/10.1117/12.2663377

KEYWORDS: Education and training, Gallium nitride, Data modeling, Machine learning, Image classification, Principal component analysis, Facial recognition systems, Algorithm development, Neural networks, Network architectures

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Proceedings Article | 27 May 2022 Presentation + Paper

Smart system for blurring undesirable objects in road applications

Wissam Kaddah, Ehsan Sedgh Gooya, Ayman Alfalou

Proceedings Volume 12101, 1210105 (2022) https://doi.org/10.1117/12.2618745

KEYWORDS: Roads, Sensors, Panoramic photography, Detection and tracking algorithms, Lawrencium, Video, Safety, Neural networks, Navigation systems, Light sources and illumination

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Proceedings Article | 27 May 2022 Presentation + Paper

Investigating the performance of an artificial neural network for solving the resource constrained project scheduling problem (RCPSP)

Amir Golab, Ehsan Sedgh Gooya, Ayman Al Falou, Mikael Cabon

Proceedings Volume 12101, 121010A (2022) https://doi.org/10.1117/12.2618499

KEYWORDS: Neural networks, Artificial neural networks, Neurons, Transform theory, Mathematical modeling, Machine learning, Evolutionary algorithms, Chemical elements, Buildings, Biological research

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