Temporal features - Open Access .click

Results 1 to 10 of about 587,485 (117)

Improving Object Detection for Time-Lapse Imagery Using Temporal Features in Wildlife Monitoring [PDF]

Sensors
Monitoring animal populations is crucial for assessing the health of ecosystems. Traditional methods, which require extensive fieldwork, are increasingly being supplemented by time-lapse camera-trap imagery combined with an automatic analysis of the ...
Marcus Jenkins +6 more
doaj +2 more sources

Intrusion Detection Method for Internet of Vehicles Based on Parallel Analysis of Spatio-Temporal Features [PDF]

Sensors, 2023
Ling Xing, Honghai Wu, Wu Honghai
exaly +2 more sources

Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features

IEEE Access, 2022
The detection and classification of emotional states in speech involves the analysis of audio signals and text transcriptions. There are complex relationships between the extracted features at different time intervals which ought to be analyzed to infer ...
Samuel Kakuba, Alwin Poulose, Dong Seog Han +2 more
doaj +1 more source

Forgery face detection method based on multi-domain temporal features mining

网络与信息安全学报, 2023
Financial technology has greatly facilitated people’s daily life with the continuous development of computer technology in the financial services industry.However, digital finance is accompanied by security problems that can be extremely harmful.Face ...
Chuntao ZHU +4 more
doaj +3 more sources

Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer

Sensors, 2023
Speech emotion recognition (SER) is a challenging task in human–computer interaction (HCI) systems. One of the key challenges in speech emotion recognition is to extract the emotional features effectively from a speech utterance.
Rizwan Ullah +9 more
doaj +1 more source

Encoding Stability into Laser Powder Bed Fusion Monitoring Using Temporal Features and Pore Density Modelling

Sensors, 2022
In laser powder bed fusion (LPBF), melt pool instability can lead to the development of pores in printed parts, reducing the part’s structural strength.
Brian G. Booth +5 more
doaj +1 more source

A multi-target prediction model for dam seepage field

Frontiers in Earth Science, 2023
Prediction of dam behavior based on monitoring data is important for dam safety and emergency management. It is crucial to analyze and predict the seepage field. Different from the mechanism-based physical models, machine learning models predict directly
Weiya Hou +4 more
doaj +1 more source

N-STGAT: Spatio-Temporal Graph Neural Network Based Network Intrusion Detection for Near-Earth Remote Sensing

Remote Sensing, 2023
With the rapid development of the Internet of Things (IoT)-based near-Earth remote sensing technology, the problem of network intrusion for near-Earth remote sensing systems has become more complex and large-scale.
Yalu Wang +6 more
doaj +1 more source

Pose Estimation of Driver’s Head Panning Based on Interpolation and Motion Vectors under a Boosting Framework

Applied Sciences, 2021
Over the last decade, a driver’s distraction has gained popularity due to its increased significance and high impact on road accidents. Various factors, such as mood disorder, anxiety, nervousness, illness, loud music, and driver’s head rotation ...
Syed Farooq Ali +4 more
doaj +1 more source

A Location Method for AC Fault in LCC-HVDC System Based on Virtual Conduction Width Characteristics

IEEE Access, 2023
When an AC fault occurs in HVDC transmission system, the transient response change in the rate of change of current and voltage, which may lead to the unexpected action behavior of converter protection.
Shanshan Yin
doaj +1 more source

spatial features
deepfake detection
machine learning

deep learning