Environment-fusion multipath routing protocol for wireless sensor networks
In most cases, wireless sensor networks (WSNs) are deployed in unattended scenarios and
are featured by energy sensitivity and low cost, thus making the performance of WSNs prone …
are featured by energy sensitivity and low cost, thus making the performance of WSNs prone …
Learning deep multimodal affective features for spontaneous speech emotion recognition
S Zhang, X Tao, Y Chuang, X Zhao - Speech Communication, 2021 - Elsevier
Recently, spontaneous speech emotion recognition has become an active and challenging
research subject. This paper proposes a new method of spontaneous speech emotion …
research subject. This paper proposes a new method of spontaneous speech emotion …
Survival prediction of heart failure patients using motion-based analysis method
Abstract Background and Objective: Survival prediction of heart failure patients is critical to
improve the prognostic management of the cardiovascular disease. The existing survival …
improve the prognostic management of the cardiovascular disease. The existing survival …
Industrial pervasive edge computing-based intelligence IoT for surveillance saliency detection
Numerous surveillance data processing is crucial in the Internet-of-Things systems with
pervasive edge computing. In this process, salient object detection from surveillance videos …
pervasive edge computing. In this process, salient object detection from surveillance videos …
Towards predictive analysis of android vulnerability using statistical codes and machine learning for IoT applications
J Cui, L Wang, X Zhao, H Zhang - Computer Communications, 2020 - Elsevier
Abstract Recently, the Internet of Things (IoT) technology is used for several applications for
exchanging information among various devices. The intelligent IoT based system utilizes an …
exchanging information among various devices. The intelligent IoT based system utilizes an …
Video salient object detection using dual-stream spatiotemporal attention
Video salient object detection plays an important role in many exciting applications in
different areas. However, the existing deep learning-based video salient object detection …
different areas. However, the existing deep learning-based video salient object detection …
Domain adaptive detection system for concealed objects using millimeter wave images
Millimeter wave (MMW) images can be used to identify metallic or non-metallic embargoed
items hidden under clothing in both active and passive modes. Detection of concealed …
items hidden under clothing in both active and passive modes. Detection of concealed …
Digging into the multi-scale structure for a more refined depth map and 3D reconstruction
Y Ding, L Lin, L Wang, M Zhang, D Li - Neural Computing and Applications, 2020 - Springer
Extracting dense depth from a single image is an important yet challenging computer vision
task. Compared with stereo depth estimation, sensing the depth of a scene from monocular …
task. Compared with stereo depth estimation, sensing the depth of a scene from monocular …
A thumbnail-based hierarchical fuzzy clustering algorithm for SAR image segmentation
This paper proposes a novel algorithm for segmentation of synthetic aperture radar (SAR)
image, our proposed algorithm (THFCM) is based on thumbnail representations and a …
image, our proposed algorithm (THFCM) is based on thumbnail representations and a …
Cortical 3-hinges could serve as hubs in cortico-cortical connective network
Mapping the relation between cortical convolution and structural/functional brain
architectures could provide deep insights into the mechanisms of brain development …
architectures could provide deep insights into the mechanisms of brain development …