Search
Search Results
-
Multimodal Information Retrieval
In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
-
Retrieval Augmented Modeling
Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various...
-
Outlook
While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several...
-
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...
-
Introduction
In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal...
-
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...
-
Introduction
The rapid growth in the field of machine intelligence or artificial intelligence (AI) in recent years is truly mind boggling and has created an...
-
Debugging Usage Patterns
In this chapter, you will explore the most common debugging usage patterns.
-
Humans in Intelligent Environment: Near Future
For hundreds of thousands of years since the appearance of humans on the face of Earth, humans have been interacting with their environment. The...
-
Challenges of Python Debugging in Cloud Computing
In this chapter, you will start surveying the challenges of debugging in cloud computing, AI, and machine learning. You will start with cloud...
-
Fundamental Vocabulary
Debugging complex software issues in machine learning and cloud computing environments requires not only the knowledge of the Python language and its...
-
IDE Debugging in the Cloud
In the previous chapter, I introduced debugging implementation patterns in the context of the Python command-line debugger. This chapter and the next...
-
Securing IoT Using Supervised Machine Learning
IoT today is ubiquitous. Its growth has reached a stage where the number of connected devices is growing exponentially daily, raising various...
-
Malnutrition Detection Analysis and Nutritional Treatment Using Ensemble Learning
Malnutrition is a condition that arises when an individual’s diet contains excessive amounts of certain nutrients or insufficient amounts of one or...
-
Emoji Based Sentiment Classification Using Machine Learning Approach
Online media platforms like Facebook, Twitter, and Instagram continue to influence our world. People today are more closely connected than ever...
-
DDoS Attack Detection in IoT Environment Using Crystal Optimized Deep Neural Network
Internet of Things (IoT) is the interconnection of many devices through the internet for different real-time applications. One of the major issues of...
-
Predictive Load Management Using IoT and Data Analytics
The objective of this paper is to design and implement an Internet of Things (IoT) based energy data acquisition system that incorporates a Long...
-
An Enhanced PSO-Based Energy Efficient Clustering Routing Algorithm for Wireless Sensor Network
Wireless Sensor Network (WSN) comprises of a lot of sensor nodes which are implanted in an application system to track hardware elements in a...
-
Exploring the Relationship Between Innovation, Entry Modes and Destination Countries
In a world characterized by globalization, where the internationalization of businesses is pivotal for their prosperity, innovation is emerging as a...
-
DrugChecker: Blockchain-Based Counterfeit Drug Detection System
The new technology Blockchain has moved beyond being a mere advertising slogan to practical applications in industry sectors such as the...