Vision-based robotic gras** from object localization, object pose estimation to grasp estimation for parallel grippers: a review

G Du, K Wang, S Lian, K Zhao - Artificial Intelligence Review, 2021 - Springer
This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …

A review on deep learning techniques for video prediction

S Oprea, P Martinez-Gonzalez… - … on Pattern Analysis …, 2020 - ieeexplore.ieee.org
The ability to predict, anticipate and reason about future outcomes is a key component of
intelligent decision-making systems. In light of the success of deep learning in computer …

Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy

X Bi, L Lin, Z Chen, J Ye - Small methods, 2024 - Wiley Online Library
Surface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting
and sensitive analytical technique, has exerted high applicational value in a broad range of …

A framework driven by physics-guided machine learning for process-structure-property causal analytics in additive manufacturing

H Ko, Y Lu, Z Yang, NY Ndiaye, P Witherell - Journal of Manufacturing …, 2023 - Elsevier
Abstract Data analytics with Machine Learning (ML) using physics knowledge and big data
offers high potential to continuously transform raw data to newfound knowledge of Process …

Scanning technologies to building information modelling: A review

R Rashdi, J Martínez-Sánchez, P Arias, Z Qiu - Infrastructures, 2022 - mdpi.com
Building information modelling (BIM) is evolving significantly in the architecture, engineering
and construction industries. BIM involves various remote-sensing tools, procedures and …

A review of non-rigid transformations and learning-based 3D point cloud registration methods

S Monji-Azad, J Hesser, N Löw - ISPRS Journal of Photogrammetry and …, 2023 - Elsevier
Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …

Robust high dynamic range (hdr) imaging with complex motion and parallax

Z Pu, P Guo, MS Asif, Z Ma - Proceedings of the Asian …, 2020 - openaccess.thecvf.com
High dynamic range (HDR) imaging is widely used in consumer photography, computer
game rendering, autonomous driving, and surveillance systems. Reconstructing ghosting …

Review on deep learning algorithms and benchmark datasets for pairwise global point cloud registration

Y Zhao, L Fan - Remote Sensing, 2023 - mdpi.com
Point cloud registration is the process of aligning point clouds collected at different locations
of the same scene, which transforms the data into a common coordinate system and forms …

Retinal OCT image registration: methods and applications

L Pan, X Chen - IEEE Reviews in Biomedical Engineering, 2021 - ieeexplore.ieee.org
Retinal image registration is a critical task in the diagnosis and treatment of various eye
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …

Deep learning forecasts the occurrence of sleep apnea from single-lead ECG

M Bahrami, M Forouzanfar - Cardiovascular Engineering and Technology, 2022 - Springer
Objectives Sleep apnea is the most common sleep disorder that leads to serious health
complications if not treated early. Forecasting apnea occurrence ahead in time provides the …