[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
An active contour model reinforced by convolutional neural network and texture description
M Nouri, Y Baleghi - Neurocomputing, 2023 - Elsevier
Active contour models (ACMs) are popular and widely used for many image segmentation
applications and obtain promising results. However, these methods are unable to achieve …
applications and obtain promising results. However, these methods are unable to achieve …
[Retracted] Construction and Application of College English Blended Teaching System Based on Multidata Fusion
A Pan - Discrete Dynamics in Nature and Society, 2022 - Wiley Online Library
With the rapid development of educational information technology,“online and offline” hybrid
teaching has become the main trend of foreign language teaching reform in colleges and …
teaching has become the main trend of foreign language teaching reform in colleges and …
End-to-end network for pedestrian detection, tracking and re-identification in real-time surveillance system
M Lei, Y Song, J Zhao, X Wang, J Lyu, J Xu, W Yan - Sensors, 2022 - mdpi.com
Surveillance video has been widely used in business, security, search, and other fields.
Identifying and locating specific pedestrians in surveillance video has an important …
Identifying and locating specific pedestrians in surveillance video has an important …
A novel approach for automated strawberry fruit varieties classification using image processing and machine learning
Strawberry fruit classification is a crucial step in the strawberry farming industry, as it
contributes to quality control and optimization of harvest. However, manual classification is …
contributes to quality control and optimization of harvest. However, manual classification is …
[PDF][PDF] 多目标跟踪中基于次模优化的轨迹片段生成方法
孙瑾, 杜官明 - 电子与信息学报, 2024 - jeit.ac.cn
作为智能视觉任务的基础工作, 多目标跟踪(MOT) 一直是计算机视觉领域具有挑战性的课题之一
. 遮挡是影响跟踪准确性的主要因素, 为此该文采用基于检测跟踪的思想, 以轨迹片段为基础进行 …
. 遮挡是影响跟踪准确性的主要因素, 为此该文采用基于检测跟踪的思想, 以轨迹片段为基础进行 …
Entropy and probability based Fuzzy Induced Ordered Weighted Averaging operator
T Zheng, H Chen, X Yang - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Abstract The traditional Ordered Weighting Average (OWA) operator is suitable for
aggregating numerical attributes. However, this method fails when the attribute values are …
aggregating numerical attributes. However, this method fails when the attribute values are …
[PDF][PDF] Interactive complex ontology matching with local and global similarity deviations
X Xue, M Ye - Electronic Research Archive, 2023 - aimspress.com
Ontology serves as a central technique in the semantic web to elucidate domain knowledge.
The challenge of dealing with the heterogeneity introduced by diverse domain ontologies …
The challenge of dealing with the heterogeneity introduced by diverse domain ontologies …
A Critical Analysis of Object Tracking Using Radial Function Networks
A important method in several fields, including driverless cars, medical imaging, human-
computer interaction, and investigation systems, is object tracking. Because of their flexibility …
computer interaction, and investigation systems, is object tracking. Because of their flexibility …
Research on multi-target data association of the infrared fish-eye warning system
Y Zhou, D Fang, J Li, B Zhang, M Hao, J Liu - Heliyon, 2023 - cell.com
The multi-target data association method is studied in order to realize multi-target tracking in
infrared fish-eye warning system. The Neural Joint Probabilistic Data Association (NJPDA) …
infrared fish-eye warning system. The Neural Joint Probabilistic Data Association (NJPDA) …