Journal of Multimedia Technology & Recent Advancements
Volume 10, Issue 1 (2023)
Published
Table of contents
-
A GAN Based Automatic Image Colourizer
Abstract: A fascinating skill in computer vision under Artificial intelligence is the technique of automatically changing monochrome photos into colour ones without human assistance. When a substantial annotated dataset is not readily accessible, transfer learning is commonly employed as the preferred approach. Typically, this involves utilizing pre-trained models with extensive general knowledge gained from training on ImageNet, which are subsequently fine-tuned to cater to specific tasks. From the utility point of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
-
Food Fair: Quick Homemade Food Delivery Website
Abstract: Food Fair is a quick home-made food delivery website designed to cater to the needs of hostel students who crave home-made, delicious food. The website is built using the latest web development technologies, including HTML, CSS, JavaScript, PHP, and MySQL. Food Fair offers a wide range of home-made food options that are prepared using fresh ingredients and traditional recipes, ensuring that the food is not only tasty but also healthy. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 12–18 Read article
-
Security Monitoring Intelligence System Using IoT
Abstract: The main objective of the Security Monitoring Intelligence System (SMIS) is to provide security for human beings and to people under dangerous circumstances wherever immediate help is required. CCTV surveillance is provided everywhere, but its disadvantage is that we do not have night vision cameras so we cannot get a hold of what is really happening there and so we cannot judge. We are providing a night vision camera which …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 19–31 Read article
-
Vehicle Insurance Fraud Detection Using Supervised Neural Network Model
Abstract: Vehicle insurance fraud is a serious problem that causes huge financial losses to insurance companies. In recent years, developing fraud detection models using machine-learning techniques has been of great interest. This study proposes a novel approach for vehicle insurance fraud detection using Supervised Neural network model on the Kaggle Vehicle Insurance Fraud Detection dataset. The initial step in this study involves performing data pre-processing and feature extraction on the dataset, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 32–39 Read article
-
XML Query Optimization for Improvement of Data Warehouses Information Processing
Abstract: XML data warehouses give decision-support systems a chance to use complicated data by giving them a place to start. But native-XML database management systems are slow right now, so it is important to look into ways to make them faster. This study presents two strategies to think about. To start, we suggest using a link index that was made with the fact that XML warehouses have a lot of dimensions …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 40–53 Read article