Hybrid method for short-term time series forecasting based on EEMD

Y Yang, Y Yang - IEEE Access, 2020 - ieeexplore.ieee.org
To improve the prediction effect of time series, we make a systematic study of various time
series prediction methods based on statistics and machine learning in this paper. In the …

Indoor smoking behavior detection based on yolov3-tiny

Z Rentao, W Mengyi, Z Zilong, L **… - 2019 Chinese …, 2019 - ieeexplore.ieee.org
Cigarette smoking is not only harmful to the health of smokers and people around them, but
also one of the hidden dangers of indoor fire. Aiming at the problem of heavy workload of …

RETRACTED ARTICLE: A novel hybrid approach based on principal component analysis and tolerance rough similarity for face identification

B Lavanya, H Hannah Inbarani - Neural Computing and Applications, 2018 - Springer
Face identification plays one of the most important roles in biometrics to recognize a person.
However, face identification is very difficult because of variations in size, orientations …

HOG and SVM algorithm based on vehicle model recognition

J Yang, Z Chen, J Zhang, C Zhang… - MIPPR 2019: Pattern …, 2020 - spiedigitallibrary.org
With the rapid development of machine learning, computer vision and other artificial
intelligence technologies, vehicle identification based on image processing, pattern …

Enhancement on image face recognition using Hybrid Multiclass SVM (HM-SVM)

MH Selamat, HM Rais - 2016 3rd International Conference on …, 2016 - ieeexplore.ieee.org
These day, face recognition became main attraction by many researcher due to demand
from commercial and law enforcement sectors. The main issues in face recognition are the …

Survey on big data analysis algorithms for network security measurement

H Chen, Y Fu, Z Yan - Network and System Security: 11th International …, 2017 - Springer
With the development of network technologies such as IoTs, D2D and SDN/NFV, etc.,
convenient network connections with various networks have stepped into our social life, and …

KNN_SVM based information transmission method for renewable energy power generation

K Liang, H He, G Liu, D Wang… - … Power and Energy …, 2019 - ieeexplore.ieee.org
In order to ensure information security and to achieve real-time acquisition of renewable
energy generation data, this paper proposes a KNN_SVM based information security …

Gender classification of elderly people using Doppler radar images based on machine learning

Z Wang, K Saho, H Tomiyama… - … Conference on Advanced …, 2019 - ieeexplore.ieee.org
Nowadays, elderly care has become a social problem with the progress of the aging society.
On the other hand, for privacy protection, the RGB images taken by camera are difficult to be …

Cascading global and local features for face recognition using support vector machines and local ternary patterns

JCJ Jian, CH Wu, CC Lai, ST Pan… - … on Information and …, 2017 - ieeexplore.ieee.org
This study analyzes the effectiveness of the global (the whole face) and local (regions of
eyes, nose, and mouth) features for face recognition. Features describing human faces are …

[PDF][PDF] Combination of fast hybrid classification and k value optimization in k-nn for video face recognition

N Septiana, N Suciati - Register: Jurnal Ilmiah Teknologi Sistem …, 2020 - journal.unipdu.ac.id
Nowadays, the need for face recognition is no longer include images only but also videos.
However, there are some challenges associated with the addition of this new technique …