[HTML][HTML] Computer vision and deep learning in insects for food and feed production: A review

S Nawoya, F Ssemakula, R Akol, Q Geissmann… - … and Electronics in …, 2024 - Elsevier
Commercial insect production is a relatively new field that has gained traction in recent
years due to its potential as a sustainable source of protein. Despite its promising future, the …

An automatic and integrated self-diagnosing system for the silting disease of drainage pipelines based on SSAE-TSNE and MS-LSTM

D Di, D Wang, H Fang, Q He, L Zhou, X Chen… - … and Underground Space …, 2023 - Elsevier
The regular detection and diagnosis mechanism for the silting disease of drainage pipelines
(SDP) is critical for making dredging decisions and flood forecasting. Simultaneously, there …

[HTML][HTML] Automated pipeline reconstruction using deep learning & instance segmentation

L Hart, S Knoblach, M Möser - ISPRS Open Journal of Photogrammetry and …, 2023 - Elsevier
BIM is a powerful tool for the construction industry as well as for various other industries, so
that its use has increased massively in recent years. Laser scanners are usually used for the …

Guided depth completion with instance segmentation fusion in autonomous driving applications

MZ El-Yabroudi, I Abdel-Qader, BJ Bazuin… - Sensors, 2022 - mdpi.com
Pixel-level depth information is crucial to many applications, such as autonomous driving,
robotics navigation, 3D scene reconstruction, and augmented reality. However, depth …

TrashInst: real-time floating litter instance segmentation model

N Bessaad, B Qilian, Z Jiankang… - Engineering Research …, 2024 - iopscience.iop.org
This paper introduces TrashInst, an innovative fully convolutional single-stage anchor-free
real-time instance segmentation model designed specifically for the detection of floating litter …

Space Microdatacenters

N Bleier, MH Mubarik, GR Swenson… - Proceedings of the 56th …, 2023 - dl.acm.org
Earth observation (EO) has been a key task for satellites since the first time a satellite was
put into space. The temporal and spatial resolution at which EO satellites take pictures has …

A Novel Model for Instance Segmentation and Quantification of Bridge Surface Cracks—The YOLOv8-AFPN-MPD-IoU

C Xiong, T Zayed, X Jiang, G Alfalah, EM Abelkader - Sensors, 2024 - mdpi.com
Surface cracks are alluded to as one of the early signs of potential damage to infrastructures.
In the same vein, their detection is an imperative task to preserve the structural health and …

On the use of neural networks for the structural characterization of polymeric porous materials

J Torre, S Barroso-Solares, MA Rodríguez-Pérez… - Polymer, 2024 - Elsevier
The structural characterization is an essential task in the study of porous materials. To
achieve reliable results, it requires to evaluate images with hundreds of pores. Current …

Closing Editorial for Computer Vision and Pattern Recognition Based on Deep Learning

H Yuan - Applied Sciences, 2024 - mdpi.com
Deep learning has demonstrated unparalleled performance in various industries. Artificial
intelligence technologies centered on deep learning are also revolutionizing people's ways …

Distance Estimation Approach for Maritime Traffic Surveillance Using Instance Segmentation

M Petković, I Vujović - Journal of marine science and engineering, 2023 - mdpi.com
Maritime traffic monitoring systems are particularly important in Mediterranean ports, as they
provide more comprehensive data collection compared to traditional systems such as the …