Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Zair Asrar Ahmad"'
Pollutant Recognition Based on Supervised Machine Learning for Indoor Air Quality Monitoring Systems
Autor:
Shaharil Mad Saad, Allan Melvin Andrew, Ali Yeon Md Shakaff, Mohd Azuwan Mat Dzahir, Mohamed Hussein, Maziah Mohamad, Zair Asrar Ahmad
Publikováno v:
Applied Sciences, Vol 7, Iss 8, p 823 (2017)
Indoor air may be polluted by various types of pollutants which may come from cleaning products, construction activities, perfumes, cigarette smoke, water-damaged building materials and outdoor pollutants. Although these gases are usually safe for hu
Externí odkaz:
https://doaj.org/article/a9555f890b6e41e7960ba8ad91041610
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:3827-3838
Autor:
Muhamad Zulhelmi bin Mohd Nizam, Shaharil Mad Saad, Mohd Azlan Suhaimi, Mohamed Hussein, Zair Asrar Ahmad
Publikováno v:
International Journal of Engineering Trends and Technology. 69:155-160
Publikováno v:
Materials Science Forum. 1015:82-88
Glass Fiber-Reinforced Polymer (GFRP) tubular structures can withstand the hydrostatic forces by positioning the fibers in the tangential direction to increase the hoop strength, making the GFRP tubular structures anisotropically stronger than its me
Publikováno v:
IEEE Transactions on Industrial Informatics. 16:6263-6271
Massive volumes of data are needed for deep learning (DL) models to provide accurate diagnosis results. Numerous studies of fault diagnosis systems have demonstrated the effectiveness of DL models over shallow machine learning (SL) in terms of featur
Autor:
Muhd Danial Abu Hasan, Mohd Salman Leong, Zair Asrar Ahmad, Syahril Ramadhan Saufi, Lim Meng Hee
Publikováno v:
Pertanika Journal of Science and Technology. 29
The novel Coronavirus 2019 (COVID-19) has spread rapidly and has become a pandemic around the world. So far, about 44 million cases have been registered, causing more than one million deaths worldwide. COVID-19 has had a devastating impact on every n
Publikováno v:
Wind Energy. 22:813-833
Wind turbine gearbox diagnosis is a vital tool for maintaining wind turbine operation and safety. The gearbox vibration signal is invariably complex and variable, and useful information and features are difficulty of extraction. Recently, a new and a
Publikováno v:
IEEE Access, Vol 7, Pp 122644-122662 (2019)
In the age of industry 4.0, deep learning has attracted increasing interest for various research applications. In recent years, deep learning models have been extensively implemented in machinery fault detection and diagnosis (FDD) systems. The deep
Publikováno v:
IEEE Access, Vol 7, Pp 46885-46897 (2019)
The development of rolling element bearing fault diagnosis systems has attracted a great deal of attention due to bearing components having a high tendency toward unexpected failures. However, under low-speed operating conditions, the diagnosis of be
Autor:
Mohamed Hussein, Mohd Azlan Suhaimi, Zair Asrar Ahmad, Shaharil Mad Saad, Muhamad Zulhelmi bin Mohd Nizam, Shayfull Zamree Abd Rahim
Publikováno v:
PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS ENGINEERING & TECHNOLOGY (ICAMET 2020).
Braille system is a universal code for visually impaired people to read and visualize image by using their haptic sense without using their eye. Over the few centuries, with the advent of technology, numerous assistive technologies have been develope