Department of Electrical, Electronic & Systems Engineering

Sobayel, K., Akhtaruzzaman, M., Rahman, K. S., Ferdaous, M. T., Al-Mutairi, Z. A., Alharbi, H. F., Alharthi, N. H., Karim, M. R., Hasmady, S. & Amin, N., 1 Mar 2019, In : Results in Physics. 12, p. 1097-1103 7 p.

Research output: Contribution to journal › Article

disulfides

tungsten

solar cells

defects

electrons

A deep convolutional neural network for food detection and recognition

Subhi, M. A. & Md Ali, S. H., 24 Jan 2019, 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 284-287 4 p. 08626720. (2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Biomedical Engineering

Search Engine

Biomedical engineering

Image recognition

Search engines

Department of Electrical, Electronic & Systems Engineering

Ahmad Ashrif A Bakar, Assoc. Prof. Ir. Dr.

Norazreen Abd Aziz

Ashrani Aizzuddin Abd Rahni, Dr.

(SiO2)100-x-Nix (x = 2.5, 10.0) Composite-based photoanode with polymer gel electrolyte for increased dye-sensitized solar cell performance

A comprehensive defect study of tungsten disulfide (WS2) as electron transport layer in perovskite solar cells by numerical simulation

A deep convolutional neural network for food detection and recognition

(SiO₂)_100-x-Ni_x (x = 2.5, 10.0) Composite-based photoanode with polymer gel electrolyte for increased dye-sensitized solar cell performance

A comprehensive defect study of tungsten disulfide (WS₂) as electron transport layer in perovskite solar cells by numerical simulation