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Sawal Hamid Md Ali, Dr.

  • 467 Citations
  • 9 h-Index
20072019
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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

  • 467 Citations
  • 9 h-Index
  • 68 Article
  • 54 Conference contribution
  • 1 Review article
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

Translated title of the contribution: The effect of systematic modification of phosphonic acid alkyl dielektric with monolayer on the performance of organic thin film transistors-n channelAbdul Razak, M. Z., Razip Wee, M. F. M., Buyong, M. R., Md Ali, S. H., Hoong, T. C., Sukor, J. A. & Ismail, A. G., 1 Jan 2019, In : Sains Malaysiana. 48, 6, p. 1295-1300 6 p.

Research output: Contribution to journal › Article

Open Access
transistors
acids
thin films
CMOS
trends