Hashing has been widely used for large-scale search due to its low storage cost and fast query speed. By using supervised information, supervised hashing can significantly outperform unsupervised hashing. Recently, discrete supervised hashing and deep hashing are two representative progresses in supervised hashing. On one hand, hashing is essentially a discrete optimization problem. Hence, util...

In recent years, Deep Learning at the latest developed field belonging to soft computing. The Deep learning has been a hot topic in the communities of artificial intelligence, artificial neural networks and machine learning. It tries to mimic the human brain, which is capable of processing the intricate input data, learning various knowledge’s intellectually and intense as well as solving sundr...

Abstract The existing CO 2 absorption by deep eutectic solvents is limited the unavoidable water problem during use. In this study, we prepared three with different alcohol aminations and added contents to discuss effect of content on carbon dioxide solvents. All have a low melting point at room temperature as liquid high thermal stability, where choline chloride-diethanolamine viscosity. Anhyd...

Abstract An extrapolation method is usually applied when Ab initio molecular dynamics (AIMD) to studying ionic conductivity in solid-state electrolytes lithium-ion batteries. As the ions move slowly electrolytes, first-principles typically involves computationally intensive calculations, and it can take significant time obtain accurate results. First-principles too expensive for scale required ...

The problem of accurate determination of the position, orientation and width of involute spur gear teeth using a single front-lit image is addressed. The information is used to compute global measures of tooth concentricity and pitch variations across a gear wheel. The approach is based on the use of specialised filters which make maximum use of the grey level information available in the image...