Transfer learningRecently, device-free passive wireless indoor localization (DFPWL) has attracted great interest due to the widespread deployment of Wi-Fi devices and the rapid growth in demand for location-based services (LBS). The DFPWL fingerprinting approach based on channel state information (...
deep learningfingerprintingimbalanced dataindoor localizationself attentionWiFi localization based on channel state information (CSI) fingerprints has become the ... C Yu - 《Sensors》 被引量: 0发表: 2022年 Transformable Fingerprinting with Deep Metric Learning Approach for Indoor Localization Within state...
基于特征的迁移方法 (Feature based Transfer Learning) 是指将通过特征变换的方式互相迁移 [Liu et al., 2011, Zheng et al.,2008, Hu and Yang, 2011],来减少源域和目标域之间的差距;或者将源域和目标域的数据特征变换到统一特征空间中 [Pan et al.,2011, Long et al., 2014b, Duan ...
and aims to improve the feature learning ability from highly noise signals or complex backgrounds. Although the method is originally developed for vibration-based fault diagnosis, it can be applied to image recognition and speech recognition as well. The major innovation is the integration of soft ...
Electromagnetic Time Reversal (EMTR) has been used to locate different types of electromagnetic sources. We propose a novel technique based on the combination of EMTR and Machine Learning (ML) for source localization. We show for the first time that ML t
To perform localization, a bounding box is drawn by the thresholding method, which retains over 20% of the grad-CAM result. It also provides a confidence score indicating the extent to which the model’s predictions are true, considering a threshold value of 0.5. Figure 8 and Figure 9 show...
We hypothesize that ensemble deep learning (EDL) is superior to deep transfer learning (TL) in both non-augmented and augmented frameworks. Methodology: The system consists of a cascade of quality control, ResNet–UNet-based hybrid deep learning for lung segmentation, and seven models using TL-...
(1) Symptom localization: intuitively, the segmentation network can highlight the segments of lung sound in the respiratory cycle to locate the symptoms caused by the disease. These segments can be used not only for disease diagnosis, but also for physicians to confirm the final outcome based ...
In this chapter, we present an infrastructure-independent multi-floor indoor localization scheme. The proposed scheme has several notable features. First, ... C Lin,Y Shin - Springer, Singapore 被引量: 0发表: 2024年 Transfer Learning for Indoor Localization Algorithm Based on Deep Domain Adaptatio...
A deep residual neural network framework with transfer learning for concrete dams patch-level crack classification and weakly-supervised localization Measurement Volume 188,January 2022, Page 110641 Purchase options CorporateFor R&D professionals working in corporate organizations. ...