Results 161 to 170 of about 7,519,950 (294)
Research on Road Scene Understanding of Autonomous Vehicles Based on Multi-Task Learning. [PDF]
Guo J +5 more
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Recognition of human action for scene understanding using world cup optimization and transfer learning approach. [PDF]
Surendran R, J A, Hemanth JD.
europepmc +1 more source
R3DS: Reality-Linked 3D Scenes for Panoramic Scene Understanding
We introduce the Reality-linked 3D Scenes (R3DS) dataset of synthetic 3D scenes mirroring the real-world scene arrangements from Matterport3D panoramas. Compared to prior work, R3DS has more complete and densely populated scenes with objects linked to real-world observations in panoramas.
Qirui Wu +4 more
openaire +2 more sources
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Framework for environment perception: Ensemble method for vision-based scene understanding algorithms in agriculture. [PDF]
Mujkic E, Ravn O, Christiansen MP.
europepmc +1 more source
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Surgical scene understanding and the structural validation gap in an industry-led AI ecosystem. [PDF]
MacAonghusa P, Cahill RA.
europepmc +1 more source
Cross-Domain Traffic Scene Understanding by Integrating Deep Learning and Topic Model. [PDF]
Yang Y, Dong H, Liu G, Zhang L, Li L.
europepmc +1 more source

