Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Simon Y. Foo"'
Autor:
Xuanchen Xiang, Ruisheng Diao, Shonda Bernadin, Simon Y. Foo, Fangyuan Sun, Ayodeji S. Ogundana
Publikováno v:
IEEE Access, Vol 12, Pp 44080-44090 (2024)
Precise modeling of power systems is vital to ensure stability, reliability, and secure operations. In power industrial settings, model parameters can become skewed over time due to prolonged device usage or modifications made to the control systems.
Externí odkaz:
https://doaj.org/article/7f6e8b9bca9e4b0b948888b5c3f4b07d
Publikováno v:
IEEE Access, Vol 12, Pp 33705-33719 (2024)
Conventional model-based probabilistic inference methods require increasingly complex models to improve Electric Vehicle (EV) battery State of Charge (SOC) estimation. Deep learning methods gained popularity in recent years with their model free esti
Externí odkaz:
https://doaj.org/article/2460c60720a24d3d9e5da3971e6d42e1
Autor:
Jobeda Jamal Khanam, Simon Y. Foo
Publikováno v:
ICT Express, Vol 7, Iss 4, Pp 432-439 (2021)
Diabetes is a disease that has no permanent cure; hence early detection is required. Data mining, machine learning (ML) algorithms, and Neural Network (NN) methods are used in diabetes prediction in our research. We used the Pima Indian Diabetes (PID
Externí odkaz:
https://doaj.org/article/15ada1b17ec64755b08a14c9b60c6126
Publikováno v:
IEEE Access, Vol 9, Pp 64487-64498 (2021)
Facial expression recognition (FER) is a promising but challenging area of Computer Vision (CV). Many researchers have devoted significant resources to exploring FER in recent years, but an impediment remains: classifiers perform well on fine resolut
Externí odkaz:
https://doaj.org/article/cf55273f942d47ee810baef8b035e098
Publikováno v:
Micromachines, Vol 13, Iss 9, p 1397 (2022)
Energy storage technologies are being used excessively in industrial applications and in automobiles. Battery state of charge (SOC) is an important metric to be monitored in these applications to ensure proper and safe functionality. Since SOC cannot
Externí odkaz:
https://doaj.org/article/10444543829748efb1622f3ebc79dc71
Publikováno v:
Energies, Vol 15, Iss 6, p 2158 (2022)
Load forecasting (LF) is an essential factor in power system management. LF helps the utility maximize the utilization of power-generating plants and schedule them both reliably and economically. In this paper, a novel and hybrid forecasting method i
Externí odkaz:
https://doaj.org/article/59f327a3688049999c77ba2879cc4756
Autor:
Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese
Publikováno v:
Complexity, Vol 2018 (2018)
This paper aims at developing new theory-driven biomarkers by implementing and evaluating novel techniques from resting-state scans that can be used in relapse prediction for nicotine-dependent patients and future treatment efficacy. Two classes of p
Externí odkaz:
https://doaj.org/article/c0aa384fd0924e19a75eb9b2e18b6ed2
Publikováno v:
Nanomaterials, Vol 9, Iss 9, p 1205 (2019)
PbS quantum dots (QDs) are a promising nanostructured material for solar cells. However, limited works have been done to explore the active layer thickness, layer deposition techniques, stability improvement, and cost reduction for PbS QD solar cells
Externí odkaz:
https://doaj.org/article/8d63b5e66e324e159c72d418e8bf325e
Autor:
Jobeda J. Khanam, Simon Y. Foo
Publikováno v:
Polymers, Vol 11, Iss 2, p 383 (2019)
In this paper, we present our work on high-efficiency multi-junction polymer and hybrid solar cells. The transfer matrix method is used for optical modeling of an organic solar cell, which was inspired by the McGehee Group in Stanford University. The
Externí odkaz:
https://doaj.org/article/29643c73344b4d5e819b8c0191af8107
Autor:
Shonda L. Walker, Simon Y. Foo
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 1, Iss 4, Pp 44-46 (2003)
It is well known that in many speech processing applications, speech signals are characterized by their voiced and unvoiced components. Voiced speech components contain dense frequency spectrum with many harmonics. The periodic or semi-periodic natur
Externí odkaz:
https://doaj.org/article/fc1a57cf38ab44d2b8107638021b45fe