Results 51 to 60 of about 15,536 (307)
Purpose: The purpose of this study was to develop a deep learning model for automatic binarization of the choroidal tissue, separating choroidal blood vessels from nonvascu-lar stromal tissue, in optical coherence tomography (OCT) images from healthy ...
Alonso-Caneiro, D +4 more
core +1 more source
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies +2 more
wiley +1 more source
Pruning as a Binarization Technique
Convolutional neural networks (CNNs) can be quantized to reduce the bit-width of their weights and activations. Pruning is another compression technique, where entire structures are removed from a CNN’s computation graph. Multi-bit networks (MBNs) encode the operands (weights and activations) of the convolution into multiple binary bases, where the bit-
Lukas Frickenstein +9 more
openaire +2 more sources
Robust Spot Melting by 3D Spot Arrangements in Electron Beam Powder Bed Fusion
This work proposes an approach to replace separately melted contours for spot melting in electron beam powder fusion. Adapting the spot arrangements close to the contour combined with stacking yields a comparable surface quality without the inherent challenges of separate contours, as demonstrated, by electron optical images and roughness measurements.
Tobias Kupfer +4 more
wiley +1 more source
Optimizing an image analysis protocol for ocean particles in focused shadowgraph imaging systems
A variety of imaging systems are in use in oceanographic surveys, and the opto-mechanical configurations have become highly sophisticated. However, much less consideration has been given to the accurate reconstruction of imaging data.
Huanqing Huang, Alexander B. Bochdansky
doaj +1 more source
Algorithmization of the process of recognition of states of living objects based on special x-ray images [PDF]
The article discusses results of the development of an expert system module for diagnosing diseases based on the method of neural network analysis.
Vladislav Vasilchenko +2 more
doaj +1 more source
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Algorithm to Estimate Oil Spill Area Using Digital Properties of Image
Oil spill accidents at sea result in a wide range of damages, including the destruction of ocean environments and ecosystems, as well as human illnesses by the generation of harmful gases caused by phase changes in crude oil. When an oil spill occurs, an
Hye-Jin Jang, Jong-Ho Nam
doaj +1 more source
Enhancing Bubble Removal in Geometry‐Optimized Electrodes
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner +5 more
wiley +1 more source
The most popular technique for converting two-class images into binary images is thresholding. However, thresholding methods tend to perform poorly when dealing with images affected by uneven lighting. To address this issue, local thresholding techniques
Tapaswini Pattnaik +6 more
doaj +1 more source

