Artificial Neural Network Controller for Reducing the Total Harmonic Distortion (THD) in HVDC

Hamoodi, Ali Nathem; Mohammed, Rasha A.

doi:10.22161/ijaems.4.1.11

Search citation statements

Order By: Relevance

Paper Sections

Select...

Methods1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 2 depicts the architecture of the proposed PCNN. In summary, the PCNN is an artificial model that can be counted with other artificial intelligence (AI) models as in [26][27][28][29][30][31][32][33]. It can be exploited for important security issues such as [34][35][36][37][38][39][40][41].…”

Section: Methodsmentioning

confidence: 99%

Palm print verification based deep learning

2021

View full text Add to dashboard Cite

In this paper, we consider a palm print characteristic which has taken wide attentions in recent studies. We focused on palm print verification problem by designing a deep network called a palm convolutional neural network (PCNN). This network is adapted to deal with two-dimensional palm print images. It is carefully designed and implemented for palm print data. Palm prints from the Hong Kong Polytechnic University Contact-free (PolyUC) 3D/2D hand images dataset are applied and evaluated. The results have reached the accuracy of 97.67%, this performance is superior and it shows that our proposed method is efficient.

show abstract