Research Output per year
Fingerprint Dive into the research topics where Sawal Hamid Md Ali is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Harvesters
Engineering & Materials Science
Energy harvesting
Engineering & Materials Science
Electroencephalography
Engineering & Materials Science
Optical interconnects
Engineering & Materials Science
Electric potential
Engineering & Materials Science
Frequency synthesizers
Engineering & Materials Science
Computer hardware description languages
Engineering & Materials Science
Transistors
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2007 2019
1
Citation
(Scopus)
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
food
Neural networks
Food
Image recognition
learning
An FPGA-based 16-bit continuous-time 1-1 MASH ∆Σ TDC employing multirating technique
Khaki, A. M. Z., Farshidi, E., Ali, S. H. M. D. & Othman, M., Nov 2019, In : Electronics (Switzerland). 8, 11, 1285.Research output: Contribution to journal › Article
Open Access
Delta sigma modulation
Variable frequency oscillators
Field programmable gate arrays (FPGA)
Sampling
Clocks
Deep convolutional networks for food detection and classification
Subhi, M. A., Md Ali, S. H. & Abdulameer, M., 1 Jan 2019, In : Journal of Computational and Theoretical Nanoscience. 16, 5-6, p. 2433-2438 6 p.Research output: Contribution to journal › Article
food
Machine Learning
machine learning
Image Recognition
Nutrition
Differential evolution based channel selection algorithm on EEG signal for early detection of vascular dementia among stroke survivors
Al-Qazzaz, N. K., Md Ali, S. H. & Ahmad, S. A., 24 Jan 2019, 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 239-244 6 p. 8626684. (2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
electroencephalography
Vascular Dementia
Electroencephalography
strokes
Survivors
Kesan sistematik modifikasi dielektrik dengan asid fosfonik alkil ekalapisan terhadap prestasi transistor filem nipis organik saluran-n
Research output: Contribution to journal › Article
Open Access
transistors
acids
thin films
CMOS
trends