Results 81 to 90 of about 17,399 (204)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Canagliflozin treatment reshapes the gut microbiota in DKD and elevates levels of melibiose, a metabolite derived from Roseburia intestinalis. Melibiose directly binds to and enhances the enzymatic activity of glyoxalase 1, leading to decreased methylglyoxal accumulation.
Wei Zhang +32 more
wiley +1 more source
This paper presents a deep learning-driven framework for aerial 3D object detection of road users, aimed at enhancing the monitoring capabilities of LiDAR-equipped Unmanned Aerial Vehicles (UAVs) in traffic environments. The framework integrates advanced
Baya Cherif +6 more
doaj +1 more source
Growth parameter acquisition and geometric point cloud completion of lettuce. [PDF]
Lou M, Lu J, Wang L, Jiang H, Zhou M.
europepmc +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Nickel–aluminum composite oxide (NiAlOx‐300) derived from NiAl layered double hydroxide showed high activity for hydrogenolysis of various lignin models. Especially, hydrogenolysis of benzyl phenyl ether could be efficiently proceeded at 20°C and 1 MPa H2.
Jinpeng Liang +9 more
wiley +1 more source
Large-Scale Point Cloud Completion Through Registration and Fusion of Object-Level Reconstructions
Existing 3D reconstruction algorithms commonly struggle with modeling specific local objects within large-scale scenes, often resulting in a lack of local detail and incomplete geometric structures. While current mainstream point cloud completion methods
Taiming He +3 more
doaj +1 more source
Multi-Scope Feature Extraction for Intracranial Aneurysm 3D Point Cloud Completion. [PDF]
Ma W, Yang X, Wang Q, Huang K, Huang X.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source

