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  1. Multimodal Information Retrieval

    In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  2. Outlook

    While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  3. 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...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  4. Retrieval Augmented Modeling

    Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  5. 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...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  6. Introduction

    In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal...
    Man Luo, Tejas Gokhale, ... Chitta Baral in Advances in Multimodal Information Retrieval and Generation
    Chapter 2025
  7. Toward an Industrial Robot Gym

    This chapter briefly describes how to build a digital twin and how to make it work in order to benefit a modern factory. It describes how the digital...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  8. Creating SORDI: The Largest Synthetic Dataset for Industries

    This chapter describes SORDI, the largest Synthetic Industrial Dataset for Object Detection for Industries, jointly developed by BMW Group and...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  9. Digital Images – The Bread and Butter of Computer Vision

    This chapter focuses on the usage of Computer Vision (CV) in manufacturing for product inspection, quality assurance, workplace safety, and factory...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  10. Industrial Evolution Toward the Age of Imagination

    This chapter briefly describes transitions within the industrial age: from the first, second, and third industrial revolutions, to the current...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  11. How Visual Data Is Revolutionizing the Industry World

    This chapter briefly describes how Industry 4.0 technologies have placed digital multimedia data at the center of organizations of all sizes and...
    Jimmy Nassif, Joe Tekli, Marc Kamradt in Synthetic Data
    Chapter 2024
  12. 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...
    Akhil Chaurasia, Alok Mishra, ... Alok Kumar in Computational Intelligence and Network Systems
    Conference paper 2024
  13. 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...
    Laura Igual, Santi Seguí in Introduction to Data Science
    Chapter 2024
  14. Regression Analysis

    In this chapter, we introduce regression analysis andRegression analysis some of its applications in data scienceData science. Regression is related...
    Laura Igual, Santi Seguí in Introduction to Data Science
    Chapter 2024
  15. 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...
    Lamia Berkani, Abdelhakim Ghiles Hamiti, Yasmine Zemmouri in Model and Data Engineering
    Conference paper 2024
  16. 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...
    Mikhail Firsov, Michael Polyntsov, ... George Chernishev in Model and Data Engineering
    Conference paper 2024
  17. 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...
    Chaimae Asaad, Karim Baïna, Mounir Ghogho in Model and Data Engineering
    Conference paper 2024
  18. 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...
    Mourad Ellouze, Lamia Hadrich Belguith in Model and Data Engineering
    Conference paper 2024
  19. 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...
    Oussama Hasidi, El Hassan Abdelwahed, ... Charifa Dahhassi in Model and Data Engineering
    Conference paper 2024
  20. 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...
    Sawssen Briki, Nesrine Khabou, Ismael Bouassida Rodriguez in Model and Data Engineering
    Conference paper 2024
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