Results 1 to 10 of about 35,552 (68)

Self-Shattering Defect Detection of Glass Insulators Based on Spatial Features

Energies, 2019
During an automatic power transmission line inspection, a large number of images are collected by unmanned aerial vehicles (UAVs) to detect existing defects in transmission line components, especially insulators.
Haiyan Cheng, Yongjie Zhai, Rui Chen, Di Wang, Ze Dong, Yutao Wang   +5 more
doaj   +3 more sources

Blind Mesh Assessment Based on Graph Spectral Entropy and Spatial Features

Entropy, 2020
With the wide applications of three-dimensional (3D) meshes in intelligent manufacturing, digital animation, virtual reality, digital cities and other fields, more and more processing techniques are being developed for 3D meshes, including watermarking ...
Yaoyao Lin, Mei Yu, Ken Chen, Gangyi Jiang, Fen Chen, Zongju Peng   +5 more
doaj   +3 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

Enhancing Fake News Detection by Multi-Feature Classification

IEEE Access, 2023
The proliferation of social media platforms has significantly accelerated our access to news, but it has also facilitated the rapid dissemination of fake news. Automatic fake news detection systems can help solve this problem.
Ahmed Hashim Jawad Almarashy, Mohammad-Reza Feizi-Derakhshi, Pedram Salehpour   +2 more
doaj   +1 more source

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, Muhammad Asif, Wahab Ali Shah, Fakhar Anjam, Ibrar Ullah, Tahir Khurshaid, Lunchakorn Wuttisittikulkij, Shashi Shah, Syed Mansoor Ali, Mohammad Alibakhshikenari   +9 more
doaj   +1 more source

Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network

Life, 2023
The segmentation of the left ventricle (LV) is one of the fundamental procedures that must be performed to obtain quantitative measures of the heart, such as its volume, area, and ejection fraction.
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Samiappan Dhanalakshmi, Yan Chai Hum, Azira Khalil, Khin Wee Lai   +6 more
doaj   +1 more source

Comparison and Assessment of Data Sources with Different Spatial and Temporal Resolution for Efficiency Orchard Mapping: Case Studies in Five Grape-Growing Regions

Remote Sensing, 2023
As one of the most important agricultural production types in the world, orchards have high economic, ecological, and cultural value, so the accurate and timely mapping of orchards is highly demanded for many applications. Selecting a remote-sensing (RS)
Zhiying Yao, Yuanyuan Zhao, Hengbin Wang, Hongdong Li, Xinqun Yuan, Tianwei Ren, Le Yu, Zhe Liu, Xiaodong Zhang, Shaoming Li   +9 more
doaj   +1 more source

SII-Net: Spatial Information Integration Network for Small Target Detection in SAR Images

Remote Sensing, 2022
Ship detection based on synthetic aperture radar (SAR) images has made a breakthrough in recent years. However, small ships, which may be regarded as speckle noise, pose enormous challenges to the accurate detection of SAR images. In order to enhance the
Nan Su, Jiayue He, Yiming Yan, Chunhui Zhao, Xiangwei Xing   +4 more
doaj   +1 more source

Combining Color and Spatial Image Features for Unsupervised Image Segmentation with Mixture Modelling and Spectral Clustering

Mathematics, 2023
The demand for accurate and reliable unsupervised image segmentation methods is high. Regardless of whether we are faced with a problem for which we do not have a usable training dataset, or whether it is not possible to obtain one, we still need to be ...
Branislav Panić, Marko Nagode, Jernej Klemenc, Simon Oman   +3 more
doaj   +1 more source

Hyperspectral Anomaly Detection Based on Multi-Feature Joint Trilateral Filtering and Cooperative Representation

Applied Sciences, 2023
The hyperspectral anomaly detection algorithm based on collaborative representation does not fully utilize the two-dimensional spatial features in hyperspectral images.
Huan Li, Jun Tang, Huixin Zhou
doaj   +1 more source