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Multimodal Information Retrieval
In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
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Outlook
While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several...
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Multimodal Content Generation
In this chapter, we will review the advances that are being made in this new field of multimodal content generation and also discuss several...
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Retrieval Augmented Modeling
Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various...
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Transformer-Driven Models for Language, Vision, and Multimodality
In this chapter, we will learn about the modeling and learning techniques that drive multimodal applications. We will focus specifically on the...
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Introduction
In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal...
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Deep Learning-Based Solution for Intrusion Detection in the Internet of Things
Securing the Internet of Things-based environment is a top priority for consumers, businesses, and governments. There are billions of devices...
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Introduction to Data Science
Data science is a new interdisciplinary field that has attracted a lot of interest from the media in recent years, where it has been presented as a...
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Regression Analysis
In this chapter, we introduce regression analysis andRegression analysis some of its applications in data scienceData science. Regression is related...
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Social Recommendation Using Deep Auto-encoder and Confidence Aware Sentiment Analysis
The development of online social networks has attracted increasing interest in social recommendation. On the other hand, recommender systems based on...
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Finding a Second Wind: Speeding Up Graph Traversal Queries in RDBMSs Using Column-Oriented Processing
Recursive queries and recursive derived tables constitute an important part of the SQL standard. Their efficient processing is important for many...
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Investigating the Perceived Usability of Entity-Relationship Quality Frameworks for NoSQL Databases
Quality assessment of data models can be a challenging task due to its subjective nature. For the schemaless, heterogeneous and diverse group of...
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Approach Based on Bayesian Network and Ontology for Identifying Factors Impacting the States of People with Psychological Problems from Data on Social Media
Nowadays, social networks provide relevant information that is used in many contexts for different objectives. However, the major challenges remain...
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Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case
In this study, we explore the effectiveness of a hybrid modelling approach that seamlessly integrates data-driven techniques, specifically Machine...
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A Comparative Analysis of Time Series Prediction Techniques a Systematic Literature Review (SLR)
This paper highlights the significance of systematic literature reviews and explores the different techniques employed in these reviews, including...
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Deep Learning Based on TensorFlow and Keras for Predictive Monitoring of Business Process Execution Delays
In order to enhance their performance and responsiveness, organizations must identify, manage, and monitor all business processes that involve...
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Cardiovascular Anomaly Detection Using Deep Learning Techniques
Cardiovascular diseases (CVD) refer to a group of health conditions that affect the heart and blood vessels. This can also include arterial damage in...
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AI-LMS: AI-Based Long-Term Monitoring System for Patients in Pandemics: COVID-19 Case Study
In the context of the ongoing COVID-19 pandemic, the need for robust health monitoring systems has become increasingly evident, especially for...
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Towards an Effective Attribute-Based Access Control Model for Neo4j
The graph data model is increasingly used in practice due to its flexibility in modeling complex real-life data. However, some security features...
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OntoFD: A Generic Social Media Fake News Ontology
Fake news has increased dramatically in recent years as a result of social media’s rapid and explosive expansion. To lessen their negative...