Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Faizal Hafiz"'
Publikováno v:
Journal of Signal Processing Systems. 94:1429-1446
Autor:
Faizal Hafiz, Renoh Johnson Chalakkal, Sheng Chiong Hong, Glenn Linde, Roger Hu, Ben O’Keeffe, Yim Boobin
Publikováno v:
Expert Review of Medical Devices. 19:303-314
The present study proposes a new hand-held non-mydriatic fundus camera for retinal imaging. The goal is to design a fundus camera which is equally effective in both clinical and telemedicine scenarios.A new retinal illumination approach is proposed t
Publikováno v:
Electronics
Volume 12
Issue 3
Pages: 661
Volume 12
Issue 3
Pages: 661
This paper presents a robust control framework with meta-heuristic intelligence to optimize the energy performance of air handling units (AHUs) and to maximize the thermal comfort of occupants by judiciously selecting the temperature set points of tw
Publikováno v:
Annals of operations research.
A probabilistic approach to the epidemic evolution on realistic social-contact networks allows for characteristic differences among subjects, including the individual number and structure of social contacts, and the heterogeneity of the infection and
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:4809-4817
This article proposes an alternate approach following command-filtered backstepping (CFBS) principle to control the terminal voltage and stabilize the speed of a diesel generator through the excitation system. This controller eliminates the errors in
Publikováno v:
2022 IEEE 17th International Conference on Control & Automation (ICCA).
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 67:2016-2028
The present study proposes a simple grey-box identification approach to model a real DC-DC buck converter operating in continuous conduction mode. The problem associated with the information void in the observed dynamical data, which is often obtaine
Publikováno v:
Neurocomputing. 367:114-129
The present study proposes a new structure selection approach for non-linear system identification based on Two-Dimensional particle swarms (2D-UPSO). The 2D learning framework essentially extends the learning dimension of the conventional particle s
Publikováno v:
ISPA
The present study proposes a novel delta function-based optimal shift in formants for enhancing the near-end speech intelligibility. The delta function being used here is trapezoidal in shape. The shaping parameters of this delta function are determi