Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Seong-O Shim"'
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 3, Pp 2147-2157 (2024)
Medical imaging enables doctors to provide faster and more accurate diagnoses of different conditions. Medical images are generally very dark and frequently exhibit degradations such as poor detail or low contrast, which may impact the accuracy and
Externí odkaz:
https://doaj.org/article/6849d65009694856886ea572e5617342
Autor:
Syed Ahsin Ali Shah, Wajid Aziz, Majid Almaraashi, Malik Sajjad Ahmed Nadeem, Nazneen Habib, Seong-O Shim
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 3, Pp 1992-2009 (2021)
Accurate prediction of particulate matter (PM) using time series data is a challenging task. The recent advancements in sensor technology, computing devices, nonlinear computational tools, and machine learning (ML) approaches provide new opportunitie
Externí odkaz:
https://doaj.org/article/762ffdb8adcc4cb19653862d838dbc32
Autor:
Muhammad Jawad, Malik Sajjad Ahmed Nadeem, Seong-O Shim, Ishtiaq Rasool Khan, Aliya Shaheen, Nazneen Habib, Lal Hussain, Wajid Aziz
Publikováno v:
IEEE Access, Vol 8, Pp 146847-146864 (2020)
Electricity, a fundamental commodity, must be generated as per required utilization which cannot be stored at large scales. The production cost heavily depends upon the source such as hydroelectric power plants, petroleum products, nuclear and wind e
Externí odkaz:
https://doaj.org/article/ee2c8e9be95d407594cf68a30e978149
Publikováno v:
IEEE Access, Vol 7, Pp 20144-20149 (2019)
Shape-from-focus (SFF) technique is to recover three-dimensional shape of an object from a sequence of two-dimensional images of the same object taken by gradually changing the focus settings of the imaging device. In SFF, for each pixel location (i,
Externí odkaz:
https://doaj.org/article/c49c3413fdfc4791b7bc8038511e35ea
Autor:
Maryum Bibi, Malik Sajjad Ahmed Nadeem, Imtiaz Hussain Khan, Seong-O Shim, Ishtiaq Rasool Khan, Uzma Naqvi, Wajid Aziz
Publikováno v:
IEEE Access, Vol 7, Pp 136535-136544 (2019)
Twitter sentiment analysis is a challenging task that involves various preprocessing steps including dimensionality reduction. Dimensionality reduction helps ensure low computational complexity and performance improvement during the classification pr
Externí odkaz:
https://doaj.org/article/8104d679f3bd4d45b9f1c7bb20176003
Autor:
Muhammad Hammad Waseem, Malik Sajjad Ahmed Nadeem, Assad Abbas, Aliya Shaheen, Wajid Aziz, Adeel Anjum, Umar Manzoor, Muhammad A. Balubaid, Seong-O Shim
Publikováno v:
IEEE Access, Vol 7, Pp 141072-141082 (2019)
Cancer is the second leading cause of mortality across the globe. Approximately 9.6 million people are estimated to have died due to cancer disease in 2019. Accurate and early prediction of cancer can assist healthcare professionals to devise timely
Externí odkaz:
https://doaj.org/article/2ed51e03a8664c6eb84a5cb716d71a93
Autor:
Muhammad Rehan Abbas, Malik Sajjad Ahmed Nadeem, Aliya Shaheen, Abdulrahman A. Alshdadi, Riad Alharbey, Seong-O Shim, Wajid Aziz
Publikováno v:
IEEE Access, Vol 7, Pp 160125-160143 (2019)
Machine learning (ML) offers several supervised learning algorithms to build classifiers for developing accurate decision support systems. However, the selection of robust classifier for reliable decision making in healthcare domain is three-fold: ac
Externí odkaz:
https://doaj.org/article/869929a560cf4adebf88e6a610f3188b
Autor:
Muhammad Hammad Waseem, Malik Sajjad Ahmed Nadeem, Ishtiaq Rasool Khan, null Seong-O-Shim, Wajid Aziz, Usman Habib
Publikováno v:
Computers, Materials & Continua. 75:4293-4315
Akademický článek
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Publikováno v:
International Journal of Advanced Computer Science and Applications. 14