Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zaki Hassan Kazmi"'
Autor:
Syed Ali Abbas, Aqeel Ur Rehman, Fiaz Majeed, Abdul Majid, M. Sheraz Arshed Malik, Zaki Hassan Kazmi, Seemab Zafar
Publikováno v:
IEEE Access, Vol 8, Pp 102146-102154 (2020)
Generating intuitions from data using data mining and machine learning algorithms to predict outcomes is useful area of computing. The application area of data mining techniques and machine learning is wide ranging including industries, healthcare, o
Externí odkaz:
https://doaj.org/article/7a0a13960f2843569d545965d25429d3
Autor:
Faisal Altaf Rathore, Hafiz Saad Khan, Hafiz Mudassar Ali, Marwa Obayya, Saim Rasheed, Lal Hussain, Zaki Hassan Kazmi, Mohamed K. Nour, Abdullah Mohamed, Abdelwahed Motwakel
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10357 (2022)
Gliomas are tumors of the central nervous system, which usually start within the glial cells of the brain or the spinal cord. These are extremely migratory and diffusive tumors, which quickly expand to the surrounding regions in the brain. There are
Externí odkaz:
https://doaj.org/article/f7b9faa38bcf4f8e8200a1987d832a0d
Autor:
Syed Zahir Hussain Shah, Assad Ayub, Zulqurnain Sabir, Naeem Madassar, Syed Zaki Hassan Kazmi, Rao K. Ali, Ali Haider
Publikováno v:
Heat Transfer. 50:8224-8242
Publikováno v:
Malaysian Journal of Computer Science. 34:1-12
Most of data over the Internet today is hosted on outsourced third-party servers which are not trusted. Sometimes data is to be distributed to other organizations or individuals for pre-agreed use. In both of these scenarios data is susceptible to ma
Autor:
Syed Zaki Hassan Kazmi, Henggui Zhang, Wajid Aziz, Oliver Monfredi, Syed Ali Abbas, Saeed Arif Shah, Syeda Sobia Hassan Kazmi, Wasi Haider Butt
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0157557 (2016)
The dynamical fluctuations in the rhythms of biological systems provide valuable information about the underlying functioning of these systems. During the past few decades analysis of cardiac function based on the heart rate variability (HRV; variati
Externí odkaz:
https://doaj.org/article/3cdfae11b3564f4dafc0e50de822398e
Autor:
Abdul Majid, Aqeel ur Rehman, M. Sheraz Arshed Malik, Seemab Zafar, Syed Ali Abbas, Fiaz Majeed, Zaki Hassan Kazmi
Publikováno v:
IEEE Access, Vol 8, Pp 102146-102154 (2020)
Generating intuitions from data using data mining and machine learning algorithms to predict outcomes is useful area of computing. The application area of data mining techniques and machine learning is wide ranging including industries, healthcare, o
Autor:
Adil Aslam, Syed Zaki Hassan Kazmi, Aqeel ur Rehman, Wajid Arshad Abbasi, Syed Ali Abbas, Saeed Arif
Publikováno v:
IEEE Access, Vol 8, Pp 151847-151855 (2020)
In the field of medical, each and every analysis is decisive as the study links to life of the subject under observation. One of the most vital area in the field of medical is the healthcare of expecting women in low income countries. High mortality
Autor:
Nazneen Habib, Rabia Riaz, Tae-Sun Chung, Syed Ali Abbas, Syed Zaki Hassan Kazmi, Sanam Shahla Rizvi
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 12, p e0243441 (2020)
PLoS ONE, Vol 15, Iss 12, p e0243441 (2020)
Acceleration change index (ACI) is a fast and easy to understand heart rate variability (HRV) analysis approach used for assessing cardiac autonomic control of the nervous systems. The cardiac autonomic control of the nervous system is an example of
Publikováno v:
IEEE Access, Vol 6, Pp 67555-67561 (2018)
There are several physical and social factors that are associated to the maternal health and may be considered influential towards the C-Section across the world. Several studies have been conducted in different regions of the world, mostly targeting
Autor:
Ali Abbas, Syed Zaki Hassan Kazmi, Wajid Aziz, Malik Sajjad Ahmad Nadeem, Lal Hussain, Abdul Majid, Imtiaz Ahmed Awan, Saeed Arif Shah, Sharjil Saeed
Publikováno v:
Biomedical Engineering / Biomedizinische Technik. 63:481-490
In this paper, we have employed K-d tree algorithmic based multiscale entropy analysis (MSE) to distinguish alcoholic subjects from non-alcoholic ones. Traditional MSE techniques have been used in many applications to quantify the dynamics of physiol