Journal of Web Engineering & Technology
Volume 7, Issue 1 (2020)
Published
Table of contents
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New Technologies in Production Engineering
Abstract: The advances of the Fourth Modern Revolution are obscuring the lines between the physical, computerized and natural circles of worldwide creation frameworks. The present pace of mechanical improvement is applying significant changes in transit individuals’ lives and work. It is affecting all controls, economies and enterprises, maybe none more than creation, and how, what, why and where people create and convey items and administrations. Creation exercises, characterized as the full …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 1–5 Read article
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Improve the Performance of Proxy Caching Using LRU, AVL Tree and BST
Abstract: Proxy caching is increase the performance to access the web pages. Multiple computer in a network uses multiple cache for better performance. Caching of Multi-level normally works through testing the minimum load cache. Uncertainty you miss a lower level cache than the search for next level cache. This paper will study L1 cache such as the primary cache and L2 cache such as the secondary form of cache of the …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 13–20 Read article
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Optimization of Artifact Free Image Upscaling Using Genetic Algorithm
Abstract: Creating an upscaled image from a low-resolution (LR) image to high resolution (HR) is very interesting. The nature and texture of an image should be maintained during upscaling of an image. This upscaling is also termed as “super-resolution”. It is related to both, statistical relationships between low-resolution and high-resolution. Several methods have been proposed to obtain better results, involving simple heuristics, edge modeling or statistical learning. The most powerful ones, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 21–29 Read article
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Credit Card Fraud Detection Using Deep Learning Techniques
Abstract: Credit card frauds have become very common nowadays and lot of cases has been reported in the recent past with the increase in cybercrimes. Online credit card frauds can be efficiently detected exploiting deep-learning techniques. This paper proposes two unsupervised learning algorithms namely Auto encoder and RBM (Restricted Boltzmann Machine) that acquire information from new transactions and estimate anomalous patterns from these transactions to accurately predict number of credit card …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 30–47 Read article
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Sentiment Analysis Based Telecom Churn Prediction
Abstract: Predicting customer churn is a big challenge and a survival basic for Telecom operators. In a large and competitive market like India, it is very essential to gather real-time customer feedback as a health indicator. Social networks have evolved as a rich source of real-time sentiments and opinions of the general public. In this research, tweets for the Twitter handle of 5 major telecom brands in India: Aircel, Bharti Airtel, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 6–12 Read article