Zobrazeno 1 - 10
of 510
pro vyhledávání: '"AZIZ NA"'
Publikováno v:
International Journal of COPD, Vol 2014, Iss default, Pp 493-499 (2014)
Hazlinda Abu Hassan,1,3 Noorizan Abd Aziz,2,* Yahaya Hassan,2,* Fahmi Hassan2,* 1Malacca Pharmaceutical Services Division, Ministry of Health Malaysia, Ayer Keroh, Malaysia; 2Faculty of Pharmacy, Universiti Teknologi MARA, Puncak Alam, Malaysia; 3Dep
Externí odkaz:
https://doaj.org/article/1a0a84ffbb854ddd84f0a33f4f0cce39
Publikováno v:
Malaysian Family Physician, Vol 5, Iss 2, Pp 99-100 (2010)
A 24-year-old lady presented with four days history of fever, non-pruritic rash, ankle pain and swelling. She had consumed herbal supplement five days before the onset of symptoms. Examinations revealed erythematous maculo-papular lesions of varying
Externí odkaz:
https://doaj.org/article/1bdb26a6426a40a09aa49b6ce46dbdae
Publikováno v:
IIUM Medical Journal Malaysia. Apr2022, Vol. 21 Issue 2, p13-28. 16p.
Autor:
Arun Kumar, Aziz Nanthaamornphong
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-13 (2024)
Abstract Orthogonal Time Frequency Space (OTFS) is regarded as one of the best contenders for sixth-generation (6G) radio systems due to its ability to obtain excellent performance in high-speed scenarios. Peak-to-average power ratio (PAPR) significa
Externí odkaz:
https://doaj.org/article/9ef8d9738ed94b8b8a8fe764fe46c487
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2024, Iss 1, Pp 1-18 (2024)
Abstract Orthogonal time frequency selectivity is considered one of the most promising advanced waveforms for high-mobility conditions in beyond-fifth-generation networks. A high peak-to-average power ratio in orthogonal time frequency introduces non
Externí odkaz:
https://doaj.org/article/e2baf43c13a042a383d372fc24697ccd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Recent advances in deep learning have led to a surge in computer vision research, including the recognition and classification of human behavior in video data. However, most studies have focused on recognizing individual behaviors, whereas r
Externí odkaz:
https://doaj.org/article/2d89d088181744cda961290b623f0dcd
Publikováno v:
Cancer Informatics, Vol 23 (2024)
Image-based diagnosis has become a crucial tool in the identification and management of various cancers, particularly lung and colon cancer. This review delves into the latest advancements and ongoing challenges in the field, with a focus on deep lea
Externí odkaz:
https://doaj.org/article/900e38efe7854865a14b62ec488cc406
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100531- (2024)
Multiple Input and Output-Orthogonal Time–Frequency Selective (MIMO-OTFS) is considered one of the leading candidates for the beyond fifth generation (B5G) radio framework. The signal detection process is complex due to the large number of antennas
Externí odkaz:
https://doaj.org/article/dce05799ad67466ca81ece26fa610266
Autor:
Aradhana Soni, Prabira Kumar Sethy, Amit Kumar Dewangan, Aziz Nanthaamornphong, Santi Kumari Behera, Baishnu Devi
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Problem Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and membranes. Despite its high prevalence, early diagnosis is crucial for ef
Externí odkaz:
https://doaj.org/article/ba23bd76a23d4bd0a86027b1513a82a6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Smart hospitals are poised to greatly enhance life quality by offering persistent health monitoring capabilities. Remote healthcare and surgery, which are highly dependent on low latency, have seen a transformative improvement with the adven
Externí odkaz:
https://doaj.org/article/13171ee628a54e8b9e2f643f3e92ea78