Results 161 to 170 of about 534,062 (314)
Renal Dynamic Image Compression using Singular Value Decomposition. [PDF]
Indian J Nucl Med, 2022 Chaudhary J +4 more
europepmc +1 more source
From Damage to Functionality: Remanufacturing of Thrust Roller Bearings by Tailored Forming
Advanced Engineering Materials, EarlyView.Herein, the wear and fatigue behavior of repaired bearing raceways with a new powder alloy is investigated using a FE8 test‐rig and an oscillating tribometer. The tests are compared with industrial manufactured bearings to evaluate the repair quality. The repair can extend the service life of the repaired bearing to that of a new bearing and improves ...
Felix Saure +3 more
wiley +1 more source
New and Specialized Methods of Image Compression. [PDF]
J Imaging, 2022 Starosolski R.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld +9 more
wiley +1 more source
Lossless Medical Image Compression by Using Difference Transform. [PDF]
Entropy (Basel), 2022 Rojas-Hernández R +5 more
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek +7 more
wiley +1 more source
IMAGE COMPRESSION BASED ON IMPORTANCE USING OPTIMAL MASS TRANSPORTATION MAP. [PDF]
Proc Int Conf Image Proc, 2022 Li Z, An D, Feng Y, Gu X, Xu X, Zhang M.
europepmc +1 more source
American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase III. Measurement of image quality differences at varying levels of data compression [PDF]
, 2000 R. Brennecke
openalex +1 more source
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source