With the fast development of data collection techniques, a huge amount of complex multi-modal data are generated, shared and stored on the Internet. The burden of extracting multi-modal features for test instances in data analysis becomes the main fact that hurts the efficiency of prediction. In this paper, in order to reduce the modal extraction cost in serialized classification system, we pro...

Genetic algorithms (GAs) are a class of stochastic optimization methods inspired by the principles of natural evolution. Adaptation of strategy parameters and genetic operators has become an important and promising research area in GAs. Many researchers are applying adaptive techniques to guide the search of GAs toward optimum solutions. Mutation is a key component of GAs. It is a variation ope...

In India the enormous loss of life and property perceived in last couple decades, attributable to failure structures instigated by earthquakes. Responsiveness is now being given assessment sufficiency strength framed RCC resist solid ground motions. The seismic reaction building frame terms performance point earthquake forces on Reinforced with help pushover analysis carried out this project. m...

Background: A steel frame system becomes structurally less efficient when subjected to large lateral loads such as a strong wind, earthquake. Many research efforts have been made develop more structural systems with better resistance against loads. Methods: An attempt is in this direction by both analytical and experimental studies. bare framed model of size 4m x4m chosen for G+2 storey columns...

The multi-modal salient object detection model based on RGB-D information has better robustness in the real world. However, it remains nontrivial to adaptively balance effective feature fusion phase. In this letter, we propose a novel gated recoding network (GRNet) evaluate validity of two modes, and their influence. Our framework is divided into three phases: perception phase, mixing phase int...