Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Muhammad Hamza Bhatti"'
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-9 (2019)
Abstract Electroencephalogram (EEG) signal classification plays an important role to facilitate physically impaired patients by providing brain-computer interface (BCI)-controlled devices. However, practical applications of BCI make it difficult to d
Externí odkaz:
https://doaj.org/article/df147004c1754659a0dcbd23a35944fe
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8665 (2022)
A low-cost microwave sensor was designed for oil adulteration detection and characterization of pure edible oil using dielectric spectroscopy. The sensor’s final design was fabricated on a low cost 1.6 mm thick FR-4 substrate with a combination of
Externí odkaz:
https://doaj.org/article/7d0678d714704ff3991a555a68cb4155
Autor:
Moayad Aloqaily, Javeria Khan, Muhammad Hamza Bhatti, Razi Iqbal, Yaser Jararweh, Muhammad Usman Ghani Khan, Brij B. Gupta
Publikováno v:
IEEE Transactions on Industrial Informatics. 15:5747-5754
Brain computer interface translates electroencephalogram (EEG) signals into control commands so that paralyzed people can control assistive devices. This human thought translation is a very challenging process as EEG signals contain noise. For noise
Publikováno v:
2019 15th International Conference on Emerging Technologies (ICET).
Cancer is the second death causing disease in the world. Skin cancer is a major type of cancer and increasing speedily over the past decades. The major causes of skin cancer are Ultraviolet radiation, smoking, DNA mutation and bad lifestyle. Skin can
Publikováno v:
2019 13th International Conference on Open Source Systems and Technologies (ICOSST).
Object segmentation, detection and tracking in videos is one of the most important task of computer vision. It is necessary in all of the real time deployed surveillance systems. Various unsupervised and semi-supervised video object segmentation tech
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2019, Iss 1, Pp 1-9 (2019)
Electroencephalogram (EEG) signal classification plays an important role to facilitate physically impaired patients by providing brain-computer interface (BCI)-controlled devices. However, practical applications of BCI make it difficult to decode mot