Results 281 to 290 of about 1,041,889 (332)
This study explores how mechanical strain affects the optical and molecular properties of poly(ethylene terephthalate) (PET) films, crucial for flexible electronics. Using UV–Vis and Raman spectroscopy, it reveals strain‐induced changes in transparency and vibrational modes. Findings provide insights into optimizing PET‐based devices like organic solar
Mahya Ghorab +5 more
wiley +1 more source
TLSNet: A semantic segmentation method for key point cloud regions of transmission lines. [PDF]
Pei S, Sun H, Hu C, Wang W, Wu M, Lan B.
europepmc +1 more source
Advancing Clinical Medicine with Raman Spectroscopy: Current Trends and Future Perspectives
Raman spectroscopy and microscopy may become excellent tools in clinical medicine, including hematology, oncology, infectious diseases, neurology, gastroenterology, reproductive medicine, rheumatology, and cardiovascular research. However, many challenges such as signal interference, standardization issues, and limited clinical application need to be ...
Jiří Bufka +5 more
wiley +1 more source
Indoor mmWave Radar Ghost Suppression: Trajectory-Guided Spatiotemporal Point Cloud Learning. [PDF]
Liu R +5 more
europepmc +1 more source
Local Structure–Luminescence Correlation in Eu3+‐Doped Phosphors: A Comprehensive Review
This review discusses the correlation between local structure and the luminescent properties of Eu3+ ions, and also summarizes analytical methods for determining Eu3+ site occupancy. The luminescence properties of the phosphors are determined by the electronic configuration of the activator ions and are also affected by the coordinated environment of ...
Guihua Li, Gemei Cai, Xiao‐Jun Wang
wiley +1 more source
DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data. [PDF]
Dong J +5 more
europepmc +1 more source
Detecting keypoints with semantic labels on skull point cloud for plastic surgery. [PDF]
Liao S +7 more
europepmc +1 more source
Fitting Geometric Shapes to Fuzzy Point Cloud Data. [PDF]
Verhoeven VB, Raumonen P, Åkerblom M.
europepmc +1 more source
AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data. [PDF]
Akhtar MZ, Schmid M, Elger G.
europepmc +1 more source

