Frequency roughness analysis in image processing and game design
With the continuous progress of science and technology, image processing techniques have been used increasingly in recent years. Image processing plays an indispensable role in the fields of computer vision, artificial intelligence, pattern ...
Classroom teaching of tourism management using multimedia big data analysis
In order to improve the effectiveness of tourism management classroom teaching, this article intelligentizes the teaching process of tourism management, and combines multimedia technology and big data technology to improve the teaching process. ...
Design of fully homomorphic multikey encryption scheme for secured cloud access and storage environment
Cloud hosting is a kind of storage that enables users to access, save, and manage their data in a secure and private cloud environment. As a result of this choice, users are no longer need to maintain and build their storage infrastructure on ...
Scalable computer interactive education system based on large-scale multimedia data analysis
Massive teaching resources will cause serious teaching efficiency problems for online teaching, and traditional online teaching models are even inferior to traditional classroom teaching in terms of teaching effects. Based on this, this paper ...
A parallel computing framework for real-time moving object detection on high resolution videos
Graphic Processing Units (GPUs) are becoming very important in the present day. Their high computational capabilities with high speed and accuracy are making them a very strong force in communication engineering. In recent times, their need has ...
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments
Retail companies are greatly interested in performing continuous monitoring of purchase traces of customers, to identify weak customers and take the necessary actions to improve customer satisfaction and ensure their revenues remain unaffected. In ...
Sentiment analysis of twitter data to detect and predict political leniency using natural language processing
This paper analyses Twitter data to detect the political lean of a profile by extracting and classifying sentiments expressed through tweets. The work utilizes natural language processing, augmented with sentiment analysis algorithms and machine ...
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders
- Vito Bellini,
- Eugenio Di Sciascio,
- Francesco Maria Donini,
- Claudio Pomo,
- Azzurra Ragone,
- Angelo Schiavone
Knowledge Graphs (KGs) have already proven their strength as a source of high-quality information for different tasks such as data integration, search, text summarization, and personalization. Another prominent research field that has been ...
A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems
A Knowledge Graph-based Question Answering (KGQA) system attempts to answer a given natural language question using a knowledge graph (KG) rather than from text data. The current KGQA methods attempt to determine whether there is an explicit ...
KIMedQA: towards building knowledge-enhanced medical QA models
Medical question-answering systems require the ability to extract accurate, concise, and comprehensive answers. They will better comprehend the complex text and produce helpful answers if they can reason on the explicit constraints described in ...
Semantic-enhanced reasoning question answering over temporal knowledge graphs
Question Answering Over Temporal Knowledge Graphs (TKGQA) is an important topic in question answering. TKGQA focuses on accurately understanding questions involving temporal constraints and retrieving accurate answers from knowledge graphs. In ...
