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Vision-based robotic gras** from object localization, object pose estimation to grasp estimation for parallel grippers: a review
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 …
conclude three key tasks during vision-based robotic gras**, which are object localization …
A review on deep learning techniques for video prediction
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 …
intelligent decision-making systems. In light of the success of deep learning in computer …
Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy
Surface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting
and sensitive analytical technique, has exerted high applicational value in a broad range of …
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
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 …
offers high potential to continuously transform raw data to newfound knowledge of Process …
Scanning technologies to building information modelling: A review
Building information modelling (BIM) is evolving significantly in the architecture, engineering
and construction industries. BIM involves various remote-sensing tools, procedures and …
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
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 …
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
High dynamic range (HDR) imaging is widely used in consumer photography, computer
game rendering, autonomous driving, and surveillance systems. Reconstructing ghosting …
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 …
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) …
diseases. And as a relatively new imaging method, optical coherence tomography (OCT) …
Deep learning forecasts the occurrence of sleep apnea from single-lead ECG
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 …
complications if not treated early. Forecasting apnea occurrence ahead in time provides the …