Despite consensus in focus on form (FOF) instruction over the facilitative role of noticing, controversy has not quelled over ways of directing EFL learners’ attention towards formal features via implicit techniques like input-enhancement or explicit metacognitive feedback and interactive peer-editing on the output they produce. This quasi-experimental study investigated the impact of input enh...

A data-driven approach to reconstruct high-resolution flow fields is presented. The method based on exploiting the recent advances of SRGANs (Super-Resolution Generative Adversarial Networks) enhance resolution Particle Image Velocimetry (PIV). proposed exploits availability incomplete projections using same set images processed by standard PIV. Such projection made available sparse particle-ba...

Image enhancement plays a crucial role in almost every image processing system. The main aim of the image enhancement is to improve image quality by maximizing the information content in the given input image. Histogram Equalization (HE) and Adaptive Histogram Equalization (AHE) are most popular non-heuristic or classical techniques for image enhancement by preserving main features of the input...

Image fusion is the combination of two or more different images to form a new image by using a certain algorithm. Image fusion is a process of generating a single fused image using a set of input images which are assumed to be registered. Input images could be multi sensor, multimodal, multi focal or multi temporal .Image Enhancement is to process the input image in such a way that the output i...

This paper proposes a new approach to improve generalisation of standard regression techniques when there are hundreds or thousands of input variables. The input space X is composed of observational data of the form (xi, y(xi)), i = 1...n where each xi denotes a k-dimensional input vector of design variables and y is the response. Genetic Programming (GP) is used to transform the original input...

We propose a novel speech enhancement technique based on the hypothesized Wiener filter (HWF) methodology. The proposed HWF algorithm selects a filter for enhancing the input noisy signal by first ‘hypothesizing’ a set of filters and then choosing the most appropriate one for the actual filtering. We show that the proposed HWF can intrinsically offer superior performance to conventional Wiener ...