A combined architecture of multivariate LSTM with Mahalanobis and Z-Score transformations for oil price forecasting
S Urolagin, N Sharma, TK Datta - Energy, 2021 - Elsevier
Oil price plays a vital role in a country's economy. Oil price forecasting helps in making better
economic planning and decisions. The fluctuation in the oil price occurs due to several …
economic planning and decisions. The fluctuation in the oil price occurs due to several …
Non-Interactive and secure outsourcing of PCA-Based face recognition
In recent years, there have been more and more researches focus on the field of face
recognition with the development of artificial intelligence (AI). Principal Component Analysis …
recognition with the development of artificial intelligence (AI). Principal Component Analysis …
A Novel Statistical Feature Analysis‐Based Global and Local Method for Face Recognition
Face recognition from an image/video has been a fast‐growing area in research community,
and a sizeable number of face recognition techniques based on texture analysis have been …
and a sizeable number of face recognition techniques based on texture analysis have been …
A video-based DT–SVM school violence detecting algorithm
L Ye, L Wang, H Ferdinando, T Seppänen… - Sensors, 2020 - mdpi.com
School bullying is a serious problem among teenagers. School violence is one type of
school bullying and considered to be the most harmful. As AI (Artificial Intelligence) …
school bullying and considered to be the most harmful. As AI (Artificial Intelligence) …
A quick method of early landslide identification based on dynamic susceptibility analysis using M-SVM method: a case study
Y Liu, P Xu, C Cao, W Zhang, B Han… - Bulletin of Engineering …, 2023 - Springer
Landslides are irreversible and highly destructive disasters, so the early identification of
landslides is necessary to minimize damage and the loss of life. Landslides are especially …
landslides is necessary to minimize damage and the loss of life. Landslides are especially …
[HTML][HTML] Aplicación web para el análisis de emociones y atención de estudiantes
A Piedrahíta-Carvajal, PA Rodríguez-Marín… - TecnoLógicas, 2021 - scielo.org.co
El análisis de emociones y el monitoreo del nivel de atención de los estudiantes en
entornos virtuales permite a los docentes tomar acciones para mejorar los procesos de …
entornos virtuales permite a los docentes tomar acciones para mejorar los procesos de …
Privacy-preserving multi-party PCA computation on horizontally and vertically partitioned data based on outsourced QR decomposition
Data mining has received many applications in diverse areas such as banking, marketing,
healthcare and fraud detection. One of the valuable tools in data mining is principal …
healthcare and fraud detection. One of the valuable tools in data mining is principal …
Hybrid descriptors and weighted PCA-EFMNet for face verification in the wild
B Ameur, M Belahcene, S Masmoudi… - International Journal of …, 2019 - Springer
Unconstrained face recognition is a complex task because of the numerous intra-class
changes caused by lighting, occlusion, facial expressions and poses changes. Such …
changes caused by lighting, occlusion, facial expressions and poses changes. Such …
Occluded-based Facial Recognition under mask using Deep learning method
H Wang, G Wei, H Xu, C Zhang - 2022 3rd International …, 2022 - ieeexplore.ieee.org
At present, under the epidemic prevention and control, face recognition is facing the problem
of masks. The traditional face recognition system dataset is composed of a face without …
of masks. The traditional face recognition system dataset is composed of a face without …
Multiclass Discriminant Analysis using Ensemble Technique: Case Illustration from the Banking Industry
PK Viswanathan, S Srivathsan… - Journal of Emerging …, 2022 - journals.sagepub.com
Linear discriminant analysis (LDA) has found extensive application in predicting bankruptcy.
In this article, we elucidate a novel modelling approach for LDA that can also aid in gaining …
In this article, we elucidate a novel modelling approach for LDA that can also aid in gaining …