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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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Projects
This is a special chapter dealing with security projects. We have arranged the projects in three parts. Part 1 consists of projects that can be done...
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Standardization and Security Criteria: Security Evaluation of Computer Products
Our growing dependence on technology and the corresponding skyrocketing security problems arising from it have all created a high demand for...
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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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Executive Summary
Recent advancements in machine learning, particularly in natural language processing, have been marked by the emergence of large models pretrained on...
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Application of MED-TET to Feature Extraction of Vibration Signals
Vibration signal reflects the operation status of the equipment. It is widely used in the field of mechanical fault diagnosis. However, the weak...
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Disease Recognition of Plants Leaves in Northern Shaanxi Based on Siamese Networks
Crop disease image recognition is crucial for early detection and prevention of diseases in agriculture. With the development of deep learning...
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A Review of Image and Point Cloud Fusion in Autonomous Driving
In the task of autonomous driving perception scenarios, multi-sensor fusion is gradually becoming the current mainstream trend. At this stage,...
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Analysis of Weld Pool Characteristics in Narrow Gap GTAW Welding Based on Passive Vision
In the process of narrow gap pipeline welding, the welding quality can be controlled and judged by the characteristic information of the weld pool....
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Image Classification Method Base on Contrastive Learning
This paper presents an innovative method for self-supervised learning in image classification, leveraging the contrastive learning paradigm. The...
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Design of Image Based Optical Flow Tracking and Positioning System in Intelligent Assembly
The movement of workers in intelligent assisted assembly scenarios can cause model shaking, as well as issues such as obstruction, severe tilting,...
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Research on Distributed Routing Technology for LEO Satellite Network
During the development of 6G networks, cellular networks that rely solely on ground infrastructure cannot meet network coverage in remote areas. On...
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Performance Analysis of Web Server Side Reactive Programming
The traditional imperative programming paradigm at web server side encounters some performance limitations when handling lots of concurrent requests....
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Fuzzy Sliding Mode Trajectory Tracking Control for Omnidirectional Mobile Robots Based on Exponential Convergence Law
The increasing advancements in information technology have led to a growing interest in control research for mobile robot trajectory tracking. A...
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Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net
Single-channel speech enhancement research in complex industrial production environments is limited. Current methods, whether based on attention...