A tutorial on sparse signal reconstruction and its applications in signal processing
Sparse signals are characterized by a few nonzero coefficients in one of their transformation
domains. This was the main premise in designing signal compression algorithms …
domains. This was the main premise in designing signal compression algorithms …
On some common compressive sensing recovery algorithms and applications-Review paper
Compressive Sensing, as an emerging technique in signal processing is reviewed in this
paper together with its common applications. As an alternative to the traditional signal …
paper together with its common applications. As an alternative to the traditional signal …
Deep learning approach in aerial imagery for supporting land search and rescue missions
In this paper, we propose a novel approach to person detection in UAV aerial images for
search and rescue tasks in Mediterranean and Sub-Mediterranean landscapes. Person …
search and rescue tasks in Mediterranean and Sub-Mediterranean landscapes. Person …
Multimodel deep learning for person detection in aerial images
M Kundid Vasić, V Papić - Electronics, 2020 - mdpi.com
In this paper, we propose a novel method for person detection in aerial images of nonurban
terrain gathered by an Unmanned Aerial Vehicle (UAV), which plays an important role in …
terrain gathered by an Unmanned Aerial Vehicle (UAV), which plays an important role in …
Sustainable recognition methods of modeling design features of light and micro vehicle-mounted UAV: based on support vector regression and Kano model
H Yang, Y Huo, R Jia, F Sha, N Hu, L Yu, Y Wang - Sustainability, 2022 - mdpi.com
In the era of Industry 4.0, intelligent algorithms provide an effective way to make design
methods more sustainable through mining people's demands continuously, especially in the …
methods more sustainable through mining people's demands continuously, especially in the …
Visual-based person detection for search-and-rescue with uas: Humans vs. machine learning algorithm
Unmanned Aircraft Systems (UASs) have been recognized as an important resource in
search-and-rescue (SAR) missions and, as such, have been used by the Croatian Mountain …
search-and-rescue (SAR) missions and, as such, have been used by the Croatian Mountain …
High-resolution image transmission from UAV to ground station for search and rescue missions planning
Search and rescue (SAR) missions comprise search for, and provision of aid to people who
are in distress or imminent danger. Providing the best possible input for the planners and …
are in distress or imminent danger. Providing the best possible input for the planners and …
[PDF][PDF] Data traffic reduction with compressed sensing in an AIoT system
H Kwon, S Hong, M Kang, J Seo - Comput. Mater. Contin, 2022 - cdn.techscience.cn
To provide Artificial Intelligence (AI) services such as object detection, Internet of Things
(IoT) sensor devices should be able to send a large amount of data such as images and …
(IoT) sensor devices should be able to send a large amount of data such as images and …
Effect of compressed sensing rates and video resolutions on a posenet model in an aiot system
HM Kwon, J Seo - Applied Sciences, 2022 - mdpi.com
To provide an artificial intelligence service such as pose estimation with a PoseNet model in
an Artificial Intelligence of Things (AIoT) system, an Internet of Things (IoT) sensing device …
an Artificial Intelligence of Things (AIoT) system, an Internet of Things (IoT) sensing device …
Efficient near-field radiofrequency imaging of impact damage on CFRP materials with learning-based compressed sensing
H Song, Z Wang, Y Zeng, X Guo, C Tang - Materials, 2022 - mdpi.com
Carbon fiber-reinforced polymer (CFRP) is a widely-used composite material that is
vulnerable to impact damage. Light impact damages destroy the inner structure but barely …
vulnerable to impact damage. Light impact damages destroy the inner structure but barely …