Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Khalid Mahmood Aamir"'
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0292172 (2023)
Cancer is a serious public health concern worldwide and is the leading cause of death. Blood cancer is one of the most dangerous types of cancer. Leukemia is a type of cancer that affects the blood cell and bone marrow. Acute leukemia is a chronic co
Externí odkaz:
https://doaj.org/article/a8ea7b12d7034849bb75205637d602bc
Autor:
Hamad Ali Abosaq, Muhammad Ramzan, Faisal Althobiani, Adnan Abid, Khalid Mahmood Aamir, Hesham Abdushkour, Muhammad Irfan, Mohammad E. Gommosani, Saleh Mohammed Ghonaim, V. R. Shamji, Saifur Rahman
Publikováno v:
Sensors, Vol 23, Iss 1, p 311 (2022)
Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safety of drivers and passengers in vehicles. Road accidents happen for various reasons, including health, mental stress, and fatigue. It is critical to m
Externí odkaz:
https://doaj.org/article/2170d26f799a48d8953d3e932ae629b5
Deep Learning Models for Classification of Dental Diseases Using Orthopantomography X-ray OPG Images
Autor:
Yassir Edrees Almalki, Amsa Imam Din, Muhammad Ramzan, Muhammad Irfan, Khalid Mahmood Aamir, Abdullah Almalki, Saud Alotaibi, Ghada Alaglan, Hassan A Alshamrani, Saifur Rahman
Publikováno v:
Sensors, Vol 22, Iss 19, p 7370 (2022)
The teeth are the most challenging material to work with in the human body. Existing methods for detecting teeth problems are characterised by low efficiency, the complexity of the experiential operation, and a higher level of user intervention. Olde
Externí odkaz:
https://doaj.org/article/34a6b2c5f000480e95c4cf89f4fb77df
Autor:
Khalid Mahmood Aamir, Laiba Sarfraz, Muhammad Ramzan, Muhammad Bilal, Jana Shafi, Muhammad Attique
Publikováno v:
Sensors, Vol 21, Iss 23, p 8095 (2021)
Diabetes is a fatal disease that currently has no treatment. However, early diagnosis of diabetes aids patients to start timely treatment and thus reduces or eliminates the risk of severe complications. The prevalence of diabetes has been rising rapi
Externí odkaz:
https://doaj.org/article/01f6a8e42bce4222ac91c63e154d2a59
Autor:
Muhammad Attique Khan, Seifedine Kadry, Yunyoung Nam, Khalid Mahmood Aamir, Muhammad Bilal, Muhammad Ramzan
Publikováno v:
Computers, Materials & Continua. 69:3829-3844
Publikováno v:
British Journal of Mathematics & Computer Science. 17:1-9
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2914-2916
If the signal is not Gaussian, then the power spectral density (PSD) approach is insufficient to analyze signals and we resort to estimate the higher order spectra of the signal. However, estimation of the higher order spectra is even more time consu
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :321-323
Power Spectral Density (PSD) computed by taking the Fourier transform of auto-correlation functions (Wiener-Khintchine Theorem) gives better result, in case of noisy data, as compared to the Periodogram approach in case the signal is Gaussian. Howeve
Publikováno v:
Communications in Computer and Information Science ISBN: 9783540742814
ICIC (3)
ICIC (3)
The most widely used methods for time- frequency analysis belong to Cohen’s class of spectrogram estimators. Wigner–Ville distribution (WVD) and multiwindow time -frequency analysis are the most popular techniques. One serious limitation of Wigne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d10e2756f1c85e8f47fdcf9f63a86418
https://doi.org/10.1007/978-3-540-74282-1_98
https://doi.org/10.1007/978-3-540-74282-1_98
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540741701
ICIC (1)
ICIC (1)
The are various definitions of instantaneous frequency (IF) but most of them have short comings. The most popular of these definitions, is the one given by Cohen. To estimate IF accuratly, techniques become more and more complex. This paper introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d36208725692f44f52a87f940d2909bf
https://doi.org/10.1007/978-3-540-74171-8_48
https://doi.org/10.1007/978-3-540-74171-8_48