Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mnah Sha'abani"'
Publikováno v:
Procedia Computer Science. 179:260-267
Conventionally, majority physicians used manual-based approach to determine heart sound parameters by manually printing heart sound signal waveform on the paper and trace heart sound parameters duration. Towards modern medical diagnostic technologies
Publikováno v:
Procedia Computer Science. 179:153-160
This paper presents a comparative study of Ideal Binary Mask (IBM) and Ideal Ratio Mask (IRM) as training target for supervised Malay speech separation. Inspired by revolution of powerful computer system, Deep Neural Network (DNN) is used as a superv
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 17:1330
This paper presents a preliminary study related to the detection and identification of cardiac sounds components including first sound (S1), second sound (S2) and murmurs. Detection and identification of cardiac sounds are an important process in aut
Publikováno v:
AIP Conference Proceedings.
This paper investigates a habituation based approach in detecting visual changes using video surveillance systems in a passive environment. Various techniques have been introduced for dynamic environment such as motion detection, object classificatio
Autor:
Muhammad Abdullah, Farid Zubir, C. Macwright, Muhammad Ismail, M. S. Mohd, M. M. Zahar, Mnah Sha’abani, Huda A. Majid
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 15:838
A study on the compact array microstrip patch antenna for multiple-input multiple-output (MIMO) communication system based on the antenna arrangement is performed. The 2.45 GHz rectangular array are arranged in 45 degree slanted inward and outward fo
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 53:012018
This paper presents a novelty detection method based on Self Organizing Map neural network using a mobile robot. Based on hierarchical neural network, the network is divided into three networks; position, orientation and sensor measurement network. A