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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.

  • 1 Similar Profiles
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

  • 478 Citations
  • 9 h-Index
  • 69 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 proceedingConference contribution

food
Neural networks
Food
Image recognition
learning

Amplified spontaneous emission and optical gain in organic single crystal quinquethiophene

Zeb, M., Tahir, M., Muhammad, F., Said, S. M., Sabri, M. F. M., Sarker, M. R., Ali, S. H. M. & Wahab, F., Dec 2019, In : Crystals. 9, 12, 609.

Research output: Contribution to journalArticle

Open Access
Optical gain
Spontaneous emission
spontaneous emission
Single crystals
Quantum efficiency

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 journalArticle

Open Access
Field programmable gate arrays (FPGA)
Sampling
Clocks
Signal to noise ratio
Variable frequency oscillators

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 journalArticle

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 proceedingConference contribution

electroencephalography
Vascular Dementia
Electroencephalography
strokes
Survivors