Albert Dede

Albert Dede

PhD Candidate, Computer Engineering | Machine learning, Deep learning, Computer vision, Photonics

Publications

You can also find my articles on Google Scholar.

Journal Articles

Deep learning for efficient high-resolution image processing: A systematic review

Published in Intelligent Systems with Applications, 2025

The paper reviews deep learning techniques that enhance the efficiency of high-resolution image processing, exploring various models and their applications while addressing performance challenges and suggesting future research directions.

Recommended citation: Dede, A., Nunoo-Mensah, H., Tchao, E.T., Agbemenu, A.S., Adjei, P.E., Acheampong, F.A. and Kponyo, J.J., 2025. Deep learning for efficient high-resolution image processing: A systematic review. Intelligent Systems with Applications, p.200505.
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Wavelet-Based Feature Extraction for Efficient High-Resolution Image Classification

Published in Engineering Reports, 2025

This paper presents WaveNet, a method that improves the classification accuracy of high-resolution images in CNNs using wavelet-domain inputs and a wavelet-adaptive efficient channel attention module, while reducing computational complexity.

Recommended citation: Dede, A., Nunoo‐Mensah, H., Akowuah, E.K., Boateng, K.O., Adjei, P.E., Acheampong, F.A., Acquah, I. and Kponyo, J.J., 2025. Wavelet‐Based Feature Extraction for Efficient High‐Resolution Image Classification. Engineering Reports, 7(2), p.e70027.
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Digital backpropagation based on binary logarithmic step size distribution for fibre non-linearity compensation

Published in The Journal of Engineering, 2023

A proposed low-complexity digital backpropagation method using a binary logarithmic step size achieves significant performance improvements in high-data-rate optical transmission systems, extending transmission distances and reducing computational costs.

Recommended citation: Dede, A., Akowuah, E.K. and Haxha, S., 2023. Digital backpropagation based on binary logarithmic step size distribution for fibre non‐linearity compensation. The Journal of Engineering, 2023(12), p.e12340.
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Design and analysis of a hexagonal circular photonic crystal fibre with ultra-high negative dispersion and low confinement loss

Published in Results in Optics, 2023

This paper discusses a Hexagonal Circular Photonic Crystal Fiber (HC-PCF) with ultra-high negative dispersion, high birefringence, and low confinement loss, suitable for long-range telecommunications and optical sensing.

Recommended citation: N-yorbe, J.N., Akowuah, E.K., Danlard, I., Dede, A. and Haxha, S., 2023. Design and analysis of a hexagonal circular photonic crystal fibre with ultra-high negative dispersion and low confinement loss. Results in Optics, 12, p.100488.
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Extremely randomised trees machine learning model for electricity theft detection

Published in Machine Learning with Applications, 2023

This research introduces an efficient model for detecting electricity theft using an extremely randomized trees classifier, improved by SMOTE Tomek sampling and hyperparameter optimization, achieving high accuracy in identifying fraudulent consumption.

Recommended citation: Appiah, S.Y., Akowuah, E.K., Ikpo, V.C. and Dede, A., 2023. Extremely randomised trees machine learning model for electricity theft detection. Machine Learning with Applications, 12, p.100458.
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Design and numerical analysis of a circular SPR based PCF biosensor for aqueous environments

Published in Results in Optics, 2023

This paper presents a circular photonic crystal fiber biosensor for aqueous environments, using surface plasmon resonance for high sensitivity and resolution in a refractive index range of 1.30 to 1.44.

Recommended citation: Opoku, G., Danlard, I., Dede, A. and Akowuah, E.K., 2023. Design and numerical analysis of a circular SPR based PCF biosensor for aqueous environments. Results in Optics, 12, p.100432.
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A highly birefringent negative chromatic dispersion photonic crystal fibre for long-haul transmission: design and analysis

Published in Results in Optics, 2022

The study presents a circular photonic crystal fiber (CPCF) operating from 1350 nm to 1650 nm, with high negative dispersion at 1.55 µm, high birefringence, and low loss, ideal for broadband dispersion compensation, supercontinuum generation, polarization maintenance, and sensing.

Recommended citation: Arhinful, F., Akowuah, E.K., Danlard, I. and Dede, A., 2022. A highly birefringent negative chromatic dispersion photonic crystal fibre for long-haul transmission: design and analysis. Results in Optics, 9, p.100325.
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