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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...
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Maritime Vessel Segmentation in Satellite Imagery Using UNET Architecture and Multiloss Optimization
Detection of ships and precise recognition within expansive remote sensing images constitutes a pivotal research avenue within the domain of remote...
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An Improved Filter Based Feature Selection Model for Kidney Disease Prediction
In terms of societal health threats, kidney disease has been viewed as an increasing threat in the modern day. With an increasing incidence, chronic...
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A Novel Approach to Address Concept Drift Detection with the Accuracy Enhanced Ensemble (AEE) in Data Stream Mining
Data streams present a unique challenge in effectively managing concept drift, making data mining a complex task. To overcome these challenges and...
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Dysarthria Speech Disorder Assessment Using Genetic Algorithm (GA)-Based Layered Recurrent Neural Network
A speech issue known as dysarthria occurs because of muscular weakness and nerve damage following a stroke, an infection in the brain, or a brain...
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An Integrated Method to Monitor Indoor Air Quality Using IoT for Enhanced Health of COPD Patients
Respiratory morbidity and mortality are linked to outdoor air quality. People with COPD and other populations that are susceptible to outdoor air,...
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A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing
Emotions are an essential part of human behavior that can impact thinking, decision-making, and communication skills. Thus, the ability to accurately...
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Interaction Design Patterns of Web Chatbots
Chatbots are often used in the web as an additional user interface which offers different modalities for users. Still, there is not yet an...
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Subjectivity, Polarity and the Aspect of Time in the Evolution of Crowd-Sourced Biographies
This study examines the use of subjective and sentimentally charged language in crowd-sourced articles by focusing on time and how articles in...
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Inclusive Counterfactual Generation: Leveraging LLMs in Identifying Online Hate
Counterfactually augmented data has recently been proposed as a successful solution for socially situated NLP tasks such as hate speech detection....