Video salient object detection has attracted growing interest in recent years. However, some existing video saliency models often suffer from the inappropriate utilization of spatial and temporal cues insufficient aggregation different level features, leading to remarkable performance degradation. Therefore, we propose a quality-driven dual-branch feature integration network majoring adaptive f...

Popular deep-learning-based spatiotemporal fusion methods for creating high-temporal–high-spatial-resolution images have certain limitations. The reconstructed suffer from insufficient retention of high-frequency information and the model suffers poor robustness, owing to lack training datasets. We propose a dual-branch remote sensing network based on selection kernel mechanism. comprises super...

Bus network design is an important problem in public transportation. A main step to this design is determining the number of required terminals and their locations. This is a special type of facility location problem, which is a time-consuming, large scale, combinatorial problem. In a previous attempt by the authors, this problem had been solved by GAMS, based on a branch and bound algorithm.&...

We describe a new branch predictor that is designed to balance multiple constraints—predicting branch biases versus predicting specific branch instance behavior. Most branch instances only require branch bias information for accurate predictions while a select few require more sophisticated prediction structures. Our predictor uses a cache mechanism to classify branches and dynamically adjust t...

As the number of pipeline stages increases we become hostage to the penalty imposed by misprediction of branches. Previous works have shown that a neural branch predictor remains victorious among its peers by achieving much lower misprediction rates on similar sized hardware budget than traditional approaches. In this paper we implement 3 variations of perceptron based predictor and give each i...

This paper presents allocation of power losses to consumers connected to radial distribution network before and after network reconfiguration in a deregulated environment. Loss allocation is made in a quadratic way, which is based on identifying the real and imaginary parts of current in each branch and losses are allocated to consumers. Comparison of loss allocation after multi-objective appro...

Many multicast applications, such as video-ondemand and tele-education have quality of service(QoS) requirement from the underlying network. Recently, many QoS-based multicast protocols have been proposed to meet these requirements. However, few of them can achieve high success ratios. In this paper, we propose a new QoS-based multicast protocol, QoSaware Multicast Protocol using Bounded Floodi...