The integration of high data transmission rates and the recent digital multimedia technology,
paves the way to access a huge amount of video over the internet, in seconds. Additionally …

This paper introduces a transformer encoding linker network (TELNet) for automatically
identifying scene boundaries in videos without prior knowledge of their structure. Videos …

The cloud and its applications have been growing rapidly in the last decade, but every coin
has two sides: positive and negative. The good thing about that is that online work is …

This research work has presented a modified deep multi-graph clustering (MDMGC) for the
enhancement of clustering accuracy. Multi-graph clustering is an important method for …

Price prediction and load forecasting is a difficult task for industries. Electricity price are
varied according to load or demand of energy. In this article suggested a novel approach for …

Shot boundary detection (SBD) is a critical pre-processing task for intelligent video analysis
applications. In this study, we proposed a novel multimodal approach for SBD by utilizing a …

Abstract Shot Boundary Detection (SBD) is one of the most interesting pre-processing tasks
involving all intelligent video analysis applications. An efficient method for SBD is a very …

Agriculture in India is vital to the economy, employing a large section of the population and
boosting GDP. Despite its historical importance, the industry faces several problems …

This pattern module of gait has been developed by the capturing process of a scene of obj
ects during the walking cycle of subjects, but in the case of a populated or multi-person …

In this research, we presented a Modified Single Image Super-Resolution (MSISR) using
enhanced very deep super resolution (VDSR). The suggested technique is based on …