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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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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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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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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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Enhancing Cognition Through Cooperative Learning and Augmented Mentorship
With increasing cybercrime, educational institutions are working to create increased opportunities for people to enter the cyber workforce. Some...
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Assessment of a Novel Virtual Environment for Examining Cognitive-Motor Processes During Execution of Action Sequences in a Human-Robot Teaming Context
With the development of advanced AI and robotic systems, there is a growing interest in examining human-robot teaming. While the vast majority of...
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Early Use of Augmented Cognition for Online Learning Games in Hawai‘i
This paper provides a historical and regional perspective on the adoption of technologies in online learning, focusing on gamification as an aspect...
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Distance-Based Lifestyle Medicine for Veterans with Chronic Multi-symptom Illness (CMI): Health Coaching as Behavioral Health Intervention for Clinical Adherence
Chronic multi-symptom illness (CMI) is characterized by persistent, difficult to treat symptoms that interfere with daily functioning, affecting...
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Can Neurofeedback Training Decrease Cognitive Bias? An Exploratory Analysis
Cognitive biases are ubiquitous and finding ways to mitigate them has been an ongoing challenge. Here, we explore the possibility that brain training...
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Small Languages and Big Models: Using ML to Generate Norwegian Language Social Media Content for Training Purposes
The advancement of language models has showcased their tremendous potential for both good purposes, and harmful misuse. However, the majority of...
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Enhancing Representation Learning of EEG Data with Masked Autoencoders
Self-supervised learning has been a powerful training paradigm to facilitate representation learning. In this study, we design a masked autoencoder...
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State of the Art Analysis of Word Sense Disambiguation
Word Sense Disambiguation (WSD) is a computational activity in natural language processing (NLP) that aims to determine the meaning of a word in its...
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Alzheimer’s Disease Detection Using Convolution Neural Networks
Millions of people throughout the world are afflicted by the progressive neurological condition known as Alzheimer’s Disease (AD). Analyzing MRI...
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Application of Deep Learning Techniques for Coronary Artery Disease Detection and Prediction: A Systematic Review
Coronary artery disease, a leading cause of death, occurs when coronary arteries narrow due to plaque or blood clots. It is possible to visualize...
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Machine Learning Based Delta Sigma Modulator Using Memristor for Neuromorphic Computing
This paper presents a memristor-based delta sigma modulator that mimics a human brain neuron for artificial neural network training. Memristive...
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Modeling and Design of an Autonomous Amphibious Vehicle with Obstacle Avoidance for Surveillance Applications
The autonomous vehicle system is built on the autopilot technique, allowing the vehicle to operate without human intervention. Equipped with sensors...
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Rapid Damage Detection Using Texture Analysis with Neural Network
Damage detection in many contexts, such as buildings, infrastructure, and natural landscapes, must be done quickly and accurately for successful...
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Prediction of Cardio Vascular Diseases Using Calibrated Machine Learning Model
Cardio Vascular Disease (CVD) uncovers various conditions that influence Heart Attack and cause more death rates in the recent decades. It is the...