In recent years, convolutional neural network architectures have become increasingly complex to achieve improved performance on well-known benchmark datasets. this research, we introduced G-Net light, a lightweight modified GoogleNet with filter count per layer reduce feature overlaps, hence reducing the complexity. Additionally, by limiting amount of pooling layers in proposed architecture, ex...

In this paper, the problem of data exchange in the presence of arithmetic comparisons is studied. For this purpose, tuple generating dependencies with arithmetic comparisons (tgd-AC) and arithmetic comparison generating dependencies (acgd) are introduced to capture the need to use arithmetic comparisons in source-totarget and in target constraints (both in their antecedent and in their conseque...