Monthly electric load forecasting using transfer learning for smart cities
Monthly electric load forecasting is essential to efficiently operate urban power grids.
Although diverse forecasting models based on artificial intelligence techniques have been …
Although diverse forecasting models based on artificial intelligence techniques have been …
Augmented EMTCNN: A fast and accurate facial landmark detection network
Facial landmarks represent prominent feature points on the face that can be used as anchor
points in many face-related tasks. So far, a lot of research has been done with the aim of …
points in many face-related tasks. So far, a lot of research has been done with the aim of …
Effects of virtual makeups' perceived augmentation on consumers' perceived value
R Wu, S Xiong, C Zhang - Asia Pacific Journal of Marketing and …, 2024 - emerald.com
Purpose The objective of this study is to examine how perceived augmentation of virtual
makeup influences consumers' perceived value (utilitarian and hedonic value) …
makeup influences consumers' perceived value (utilitarian and hedonic value) …
Balancing Privacy and Utility in Surveillance Systems: An Overview
This paper delves into the critical issue of privacy protection in video surveillance systems,
emphasizing the need for comprehensive and interdisciplinary approaches. The study …
emphasizing the need for comprehensive and interdisciplinary approaches. The study …
An end-to-end face parsing model using channel and spatial attentions
Facial image parsing requires accurate extraction of facial components and features, and
image segmentation can be used. Recently, various attention mechanisms showed …
image segmentation can be used. Recently, various attention mechanisms showed …
FLSNet: robust facial landmark semantic segmentation
The human face is one of the most viewed visual objects in a person's life and is used for
identifying a person through facial landmarks, which includes the eyes, nose, mouth, and …
identifying a person through facial landmarks, which includes the eyes, nose, mouth, and …
Weightless Neural Networks Face Recognition Learning Process for Binary Facial Pattern
The facial recognition process is normally used to verify and identify individuals, especially
during the process of analyzing facial biometrics. The face detection algorithm automatically …
during the process of analyzing facial biometrics. The face detection algorithm automatically …
Driver Drowsiness Estimation Based on Hybrid Feature Extraction and Light weighted Dense Convolutional Network
S Nandyal - … on Distributed Computing and Electrical Circuits …, 2022 - ieeexplore.ieee.org
Researchers propose a fully automated method of detecting drowsiness using driving
images with a focus on fatigue driving detection. Kanade–Lucas–Tomasi-ViolaJones (KLT …
images with a focus on fatigue driving detection. Kanade–Lucas–Tomasi-ViolaJones (KLT …