Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Aamir Wali"'
Autor:
Saman Shahid, Aamir Wali, Sadaf Iftikhar, Suneela Shaukat, Shahid Zikria, Jawad Rasheed, Tunc Asuroglu
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37743- (2024)
An early identification and subsequent management of cerebral small vessel disease (cSVD) grade 1 can delay progression into grades II and III. Machine learning algorithms have shown considerable promise in medical image interpretation automation. An
Externí odkaz:
https://doaj.org/article/a773ba09a4b3449294ce193dff797846
Publikováno v:
Informatics in Education, Vol 23, Iss 1, Pp 1-24 (2024)
Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early
Externí odkaz:
https://doaj.org/article/f817ae2f5088407eaaa7053e9f24960d
Publikováno v:
IEEE Access, Vol 12, Pp 124062-124080 (2024)
Assistance for doctors in disease detection can be very useful in environments with scarce resources and personnel. Historically, many patients could have been cured with early detection of the disease. The application of deep learning techniques in
Externí odkaz:
https://doaj.org/article/ccd9c9ed073b4b71a651df4192dfcc70
Autor:
Yihan Xu, Aamir Wali
Publikováno v:
IEEE Access, Vol 11, Pp 71426-71434 (2023)
Recently, a cellular automata learning and prediction (CALP) model was proposed that considered images as living cells and used cellular automata to evolve and synthetically augment handwritten data. In this paper, another data augmentation method is
Externí odkaz:
https://doaj.org/article/3a7208c3b617421992066a3da8ca1fe8
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-18
Deep networks require a considerable amount of training data otherwise these networks generalize poorly. Data Augmentation techniques help the network generalize better by providing more variety in the training data. Standard data augmentation techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::717cfc864aebffcd53dd605fb317adcc
https://doi.org/10.3233/jifs-223996
https://doi.org/10.3233/jifs-223996
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. :1-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::604363633f16aab44d803bf0be3f3d34
https://doi.org/10.1080/0952813x.2023.2165722
https://doi.org/10.1080/0952813x.2023.2165722
Publikováno v:
Multimedia Tools and Applications. 82:11721-11751
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1877e8ea167ac88ab37f4365508db0f7
https://doi.org/10.1007/s11042-022-13687-1
https://doi.org/10.1007/s11042-022-13687-1
Autor:
Aamir Wali
Publikováno v:
Natural Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47cb3d32cb368e7cc87a63340d78a2c3
https://doi.org/10.1007/s11047-022-09937-8
https://doi.org/10.1007/s11047-022-09937-8
Publikováno v:
Journal of X-ray science and technology. 30(6)
BACKGROUND: Medical image processing has gained much attention in developing computer-aided diagnosis (CAD) of diseases. CAD systems require deep understanding of X-rays, MRIs, CT scans and other medical images. The segmentation of the region of inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b347ae65c14fd6dbd88e8411d6b1f311
https://pubmed.ncbi.nlm.nih.gov/36093674
https://pubmed.ncbi.nlm.nih.gov/36093674
Publikováno v:
Journal of Information Science. :016555152311615
One database commonly used by clinicians for searching the medical literature and practicing evidence-based medicine is PubMed. As the literature grows, it has become challenging for users to find the relevant material quickly because most of the tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2db94269132937977b2d84e2ccaae34
https://doi.org/10.1177/01655515231161557
https://doi.org/10.1177/01655515231161557