102 citations · 257 across the 21 of their papers we have counts for
21 papers
Systematic Classification of Studies Investigating Social Media Conversations about Long COVID Using a Novel Zero-Shot Transformer Framework
Nirmalya Thakur, Niven Francis Da Guia Fernandes, Madje Tobi Marc'Avent Tchona
Long COVID continues to challenge public health by affecting a considerable number of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often…
Integrating Zero-Shot Classification to Advance Long COVID Literature: A Systematic Social Media-Centered Review
Nirmalya Thakur
Long COVID continues to challenge public health by affecting a significant segment of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often…
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles
Nirmalya Thakur, Vanessa Su, Mingchen Shao +4
The work of this paper presents a dataset that contains the data of 4011 videos about the ongoing outbreak of measles published on 264 websites on the internet between January 1, 2…
Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets
Nirmalya Thakur, Yuvraj Nihal Duggal, Zihui Liu
The recent outbreak of the MPox virus has resulted in a tremendous increase in the usage of Twitter. Prior works in this area of research have primarily focused on the sentiment an…
A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions
Nirmalya Thakur, Shuqi Cui, Kesha A. Patel +2
The World Health Organization added Disease X to their shortlist of blueprint priority diseases to represent a hypothetical, unknown pathogen that could cause a future epidemic. Du…
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox
Nirmalya Thakur
Mining and analysis of the big data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data…
A Simplistic and Cost-Effective Design for Real-World Development of an Ambient Assisted Living System for Fall Detection and Indoor Localization: Proof of Concept
Nirmalya Thakur, Chia Y. Han
Falls, highly common in the constantly increasing global aging population, can have a variety of negative effects on their health, well-being, and quality of life, including restri…
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection
Nirmalya Thakur, Chia Y. Han
This paper presents the findings of an exploratory study on the continuously generating Big Data on Twitter related to the sharing of information, news, views, opinions, ideas, fee…
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave
Nirmalya Thakur
The COVID-19 Omicron variant, reported to be the most immune evasive variant of COVID-19, is resulting in a surge of COVID-19 cases globally. This has caused schools, colleges, and…
Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments
Nirmalya Thakur, Chia Y. Han
This paper presents a multifunctional interdisciplinary framework that makes four scientific contributions towards the development of personalized ambient assisted living, with a s…
An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology
Nirmalya Thakur, Cat Luong, Chia Y. Han
Over the last decade, exoskeletons have had an extensive impact on different disciplines and application domains such as assisted living, military, healthcare, firefighting, and in…
Investigating the impact of COVID-19 on Online Learning-based Web Behavior
Nirmalya Thakur, Saumick Pradhan, Chia Y. Han
COVID-19, a pandemic that the world has not seen in decades, has resulted in presenting a multitude of unprecedented challenges for student learning across the globe. The global su…
Trends in Remote Learning-based Google Shopping in the United States due to COVID-19
Isabella Hall, Nirmalya Thakur, Chia Y. Han
The United States of America has been the worst affected country in terms of the number of cases and deaths on account of the severe acute respiratory syndrome coronavirus 2 (SARS-…
Investigating the Emergence of Online Learning in Different Countries using the 5 W's and 1 H Approach
Nirmalya Thakur, Isabella Hall, Chia Y. Han
The rise of the Internet of Everything lifestyle in the last decade has had a significant impact on the increased emergence and adoption of online learning in almost all countries…
Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions
Nirmalya Thakur
The exoskeleton technology has been rapidly advancing in the recent past due to its multitude of applications and diverse use-cases in assisted living, military, healthcare, firefi…
Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living
Nirmalya Thakur, Chia Y. Han
The increasing population of elderly people is associated with the need to meet their increasing requirements and to provide solutions that can improve their quality of life in a s…
An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments
Nirmalya Thakur, Chia Y. Han
This framework for human behavior monitoring aims to take a holistic approach to study, track, monitor, and analyze human behavior during activities of daily living (ADLs). The fra…
Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes
Nirmalya Thakur, Chia Y. Han
This work makes multiple scientific contributions to the field of Indoor Localization for Ambient Assisted Living in Smart Homes. First, it presents a Big-Data driven methodology t…
Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People
Nirmalya Thakur, Chia Y. Han
The population of elderly people has been increasing at a rapid rate over the last few decades and their population is expected to further increase in the upcoming future. Their in…
A Review of Assistive Technologies for Activities of Daily Living of Elderly
Nirmalya Thakur, Chia Y. Han
One of the distinct features of this century has been the population of older adults which has been on a constant rise. Elderly people have several needs and requirements due to ph…
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach
Nirmalya Thakur, Chia Y. Han
This paper makes two scientific contributions to the field of exoskeleton-based action and movement recognition. First, it presents a novel machine learning and pattern recognition…