Brekhna Brekhna

• PhD
• Lecturer at Shandong University of Finance and Economics

The language barrier is the biggest obstacle for users watching foreign-language videos. Because of this, videos cannot be famous across borders, and their viewership is limited to a single language and culture. The easiest way to solve this problem is to add subtitles in the language of the viewer. However, the current subtitling system lacks ince...

Learning-based methods are mostly performed on images. However, less attention has been paid to these methods for video dehazing. This is because of the challenges involved in finding ways to better extract and fuse the spatial and temporal features between consecutive frames, as well as the reconstruction of a more realistic latent frame. This stu...

Constraint-based relevant feature selection using the Markov blanket (MB) discovery in Bayesian network (BN) has attracted widespread attention in diverse data mining applications. However, several MB discovery methods have been presented to manage low- or high-dimensional data by focusing on either improving computation efficiency or boosting lear...

Streaming feature selection has always been an excellent method for selecting the relevant subset of features from high-dimensional data and overcoming learning complexity. However, little attention is paid to online feature selection through the Markov Blanket (MB). Several studies based on traditional MB learning presented low prediction accuracy...

With the rapid development of Internet finance, Peer to Peer(P2P) network lending has also developed as a new type of financing. However, as the P2P network lending platform becomes more and more popular, problems such as running, shutting down, and withdrawing cash are emerging. One of the most common problems is caused by credit. This paper addre...

This paper comprehensively uses the fuzzy cognitive graph method and entropy weight method to dynamically assess the credit risk of Internet financial service platforms. First, a platform credit risk indicator system was constructed. Secondly, the genetic algorithm is used to learn the fuzzy cognitive graph weight matrix. Then, the fuzzy cognitive...

In the context of the Internet, there is a historical fusion between the new round of scientific and technological revolution and industrial transformation and the accelerated transformation of economic development methods. The task of the Shandong chemical industry’s transformation and upgradation is arduous and urgent. In this context, this artic...

This article proposes a rigorous method to assess the consistency of superpixels for different superpixel segmentation algorithms. The proposed method extracts the superpixels that remain unchanged over certain levels of noise by adopting the Jaccard Similarity Coefficient (JSC). Technically, we developed a measure of Jaccard similarity for superpi...

Superpixels have gradually become popular in computer vision and image processing applications. However, no comprehensive study has been performed to evaluate the robustness of superpixel algorithms in regard to common forms of noise in natural images. We evaluated the robustness of 11 recently proposed algorithms to different types of noise. The i...

This paper proposes a novel method for image magnification by exploiting the property that the intensity of an image varies along the direction of the gradient very quickly. It aims to maintain sharp edges and clear details. The proposed method first calculates the gradient of the low-resolution image by fitting a surface with quadratic polynomial...

E-Government is the usage of Information and Communication Technologies (ICT) in order to make the provision of the processes of the public sector organization and as well as for the delivery of service/facilities to the citizen. These services will not only facilitate the individuals but will develop a strong relationship between the state and its...

Vendors’ Challenges in e‐Government Projects in Pakistan: Experience Report of Prisons Automation