An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems. - Nirmalya Thakur; Chia Y. Han 001 (5G World Forum, 2018)

A complex activity based emotion recognition algorithm for affect aware systems. - Nirmalya Thakur; Chia Y. Han 001 (CCWC, 2018)

An approach to analyze the social acceptance of virtual assistants by elderly people. - Nirmalya Thakur; Chia Y. Han 001 (IOT, 2018)

Methodology for forecasting user experience for smart and assisted living in affect aware systems. - Nirmalya Thakur; Chia Y. Han 001 (IOT, 2018)

An Improved Approach for Complex Activity Recognition in Smart Homes. - Nirmalya Thakur; Chia Y. Han 001 (ICSR, 2019)

A Context Driven Indoor Localization Framework for Assisted Living in Smart Homes. - Nirmalya Thakur; Chia Y. Han 001 (HCI (44), 2020)

A Framework for Monitoring Indoor Navigational Hazards and Safety of Elderly. - Nirmalya Thakur; Chia Y. Han 001 (HCI (44), 2020)

A Multilayered Contextually Intelligent Activity Recognition Framework for Smart Home. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2020)

An Intelligent Ubiquitous Activity Aware Framework for Smart Home. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2020)

Towards a Knowledge Base for Activity Recognition of Diverse Users. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2020)

Towards a Language for Defining Human Behavior for Complex Activities. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2020)

A Framework for Facilitating Human-Human Interactions to Mitigate Loneliness in Elderly. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2020)

Pervasive Activity Logging for Indoor Localization in Smart Homes. - Nirmalya Thakur; Chia Y. Han 001 (DSIT, 2021)

A Multimodal Approach for Early Detection of Cognitive Impairment from Tweets. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2021)

A Human-Human Interaction-Driven Framework to Address Societal Issues. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2021)

Google Trends to Investigate the Degree of Global Interest Related to Indoor Location Detection. - Nirmalya Thakur; Chia Y. Han 001 (IHIET (Paris), 2021)

Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach. - Nirmalya Thakur; Chia Y. Han 001 (Adv. Artif. Intell. Mach. Learn., 2021)

Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments. - Nirmalya Thakur; Chia Y. Han 001 (Big Data Cogn. Comput., 2021)

A Review of Assistive Technologies for Activities of Daily Living of Elderly. - Nirmalya Thakur; Chia Y. Han 001 (CoRR, 2021)

Framework for an Intelligent Affect Aware Smart Home Environment for Elderly People. - Nirmalya Thakur; Chia Y. Han 001 (CoRR, 2021)

Framework for A Personalized Intelligent Assistant to Elderly People for Activities of Daily Living. - Nirmalya Thakur; Chia Y. Han 001 (CoRR, 2021)

An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions. - Nirmalya Thakur; Chia Y. Han 001 (CoRR, 2021)

Country-Specific Interests towards Fall Detection from 2004-2021: An Open Access Dataset and Research Questions. - Nirmalya Thakur; Chia Y. Han 001 (Data, 2021)

An Ambient Intelligence-Based Human Behavior Monitoring Framework for Ubiquitous Environments. - Nirmalya Thakur; Chia Y. Han 001 (Inf., 2021)

Multimodal Approaches for Indoor Localization for Ambient Assisted Living in Smart Homes. - Nirmalya Thakur; Chia Y. Han 001 (Inf., 2021)

A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method. - Nirmalya Thakur; Chia Y. Han 001 (J. Sens. Actuator Networks, 2021)

A Comprehensive Study to Analyze Trends in Web Search Interests Related to Fall Detection Before and After COVID-19. - Nirmalya Thakur; Isabella Hall; Chia Y. Han 001 (CSSE, 2022)

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 001 (CoRR, 2022)

Trends in Remote Learning-based Google Shopping in the United States due to COVID-19. - Isabella Hall; Nirmalya Thakur; Chia Y. Han 001 (CoRR, 2022)

Investigating the impact of COVID-19 on Online Learning-based Web Behavior. - Nirmalya Thakur; Saumick Pradhan; Chia Y. Han 001 (CoRR, 2022)

An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology. - Nirmalya Thakur; Cat Luong; Chia Y. Han 001 (CoRR, 2022)

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 001 (CoRR, 2022)

A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave. - Nirmalya Thakur (Data, 2022)

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 001 (Inf., 2022)

A Dataset on Online Learning-based Web Behavior from Different Countries Before and After COVID-19. - Nirmalya Thakur; Saumick Pradhan; Chia Y. Han 001 (IEEE DataPort, 2022)

Dataset of Country-Specific Interests towards Fall Detection from 2004-2021. - Nirmalya Thakur; Chia Y. Han 001 (IEEE DataPort, 2022)

Online Learning Global Queries Dataset: A Comprehensive Dataset of What People from Different Countries ask Google about Online Learning. - Nirmalya Thakur; Isabella Hall; Chia Y. Han 001 (IEEE DataPort, 2022)

Twitter Conversations about the COVID-19 Omicron Variant: A Large Scale Dataset of more than 500,000 Tweets. - Nirmalya Thakur (IEEE DataPort, 2022)

A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave. - Nirmalya Thakur (IEEE DataPort, 2022)

Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions. - Nirmalya Thakur; Isabella Hall; Chia Y. Han 001 (IEEE DataPort, 2022)

MonkeyPox2022Tweets: A Large-Scale Twitter Dataset on the 2022 Monkeypox Outbreak, Findings from Analysis of Tweets, and Open Research Questions. - Nirmalya Thakur (IEEE DataPort, 2022)

Analysis of User Diversity-Based Patterns of Public Discourse on Twitter About Mental Health in the Context of Online Learning During COVID-19. - Nirmalya Thakur; Hazel Cho; Haokun Cheng; Hyunji Lee (HCI (50), 2023)

Mining and Analysis of Search Interests Related to Online Learning Platforms from Different Countries Since the Beginning of COVID-19. - Nirmalya Thakur; Karam Khanna; Shuqi Cui; Nazif Azizi; Zihui Liu (HCI (54), 2023)

Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. - Nirmalya Thakur (Big Data Cogn. Comput., 2023)

A Large-Scale Dataset of Search Interests Related to Disease X Originating from Different Geographic Regions. - Nirmalya Thakur; Shuqi Cui; Kesha A. Patel; Isabella Hall; Yuvraj Nihal Duggal (Data, 2023)

A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023. - Nirmalya Thakur; Kesha A. Patel; Audrey Poon; Rishika Shah; Nazif Azizi; Changhee Han (Future Internet, 2023)

Social Media Mining and Analysis: A Brief Review of Recent Challenges. - Nirmalya Thakur (Inf., 2023)

Search Interests related to Online Learning Platforms from Different Countries. - Karam Khanna; Nirmalya Thakur; Shuqi Cui; Nazif Azizi; Zihui Liu (IEEE DataPort, 2023)

Search Interests related to Disease X originating from different Geographic Regions. - Nirmalya Thakur; Kesha A. Patel; Isabella Hall; Yuvraj Nihal Duggal; Shuqi Cui (IEEE DataPort, 2023)

Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets. - Nirmalya Thakur; Yuvraj Nihal Duggal; Zihui Liu (Comput., 2023)

Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis. - Nirmalya Thakur; Shuqi Cui; Karam Khanna; Victoria Knieling; Yuvraj Nihal Duggal; Mingchen Shao (Comput., 2023)

Marburg Virus Outbreak and a New Conspiracy Theory: Dataset of Search Interests from 216 Regions. - Nirmalya Thakur; Shuqi Cui; Kesha A. Patel; Nazif Azizi; Victoria Knieling; Changhee Han; Audrey Poon; Rishika Shah (IEEE DataPort, 2023)

Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior. - Nirmalya Thakur; Shuqi Cui; Kesha A. Patel; Nazif Azizi; Victoria Knieling; Changhee Han; Audrey Poon; Rishika Shah (Comput., 2023)

Emoji Retrieval from Gibberish or Garbled Social Media Text: A Novel Methodology and a Case Study. - Shuqi Cui; Nirmalya Thakur; Audrey Poon (HCI (64), 2024)

Dissemination of Misinformation About COVID-19 on TikTok: A Multimodal Analysis. - Kesha A. Patel; Nirmalya Thakur (HCI (61), 2024)

A Labeled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources About the 2024 Outbreak of Measles. - Nirmalya Thakur; Vanessa Su; Mingchen Shao; Kesha A. Patel; Hongseok Jeong; Victoria Knieling; Andrew Bian (HCI (64), 2024)

Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis. - Nirmalya Thakur (MLNLP, 2024)

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; Kesha A. Patel; Hongseok Jeong; Victoria Knieling; Andrew Bian (CoRR, 2024)

Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis. - Nirmalya Thakur (CoRR, 2024)

Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index. - Nirmalya Thakur; Kesha A. Patel; Audrey Poon; Shuqi Cui; Nazif Azizi; Rishika Shah; Riyan Shah (CoRR, 2024)

COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations. - Vanessa Su; Nirmalya Thakur (CoRR, 2024)

Integrating Zero-Shot Classification to Advance Long COVID Literature: A Systematic Social Media-Centered Review. - Nirmalya Thakur (CoRR, 2024)

Investigation of the Misinformation about COVID-19 on YouTube Using Topic Modeling, Sentiment Analysis, and Language Analysis. - Nirmalya Thakur; Shuqi Cui; Victoria Knieling; Karam Khanna; Mingchen Shao (Comput., 2024)

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; Kesha A. Patel; Hongseok Jeong; Victoria Knieling; Andrew Bian (IEEE DataPort, 2024)

Investigation of the Global Fear Associated with COVID-19 Using Subjectivity Analysis and Deep Learning. - Nirmalya Thakur; Kesha A. Patel; Audrey Poon; Rishika Shah; Nazif Azizi; Changhee Han (Comput., 2024)

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 (HCI (61), 2025)

Dynamics of COVID-19 Misinformation: An Analysis of Conspiracy Theories, Fake Remedies, and False Reports. - Nirmalya Thakur; Mingchen Shao; Victoria Knieling; Vanessa Su; Andrew Bian; Hongseok Jeong (HCI (22), 2025)

COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations. - Vanessa Su; Nirmalya Thakur (IEEE DataPort, 2025)

Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis. - Nirmalya Thakur (IEEE DataPort, 2025)

Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis. - Nirmalya Thakur (IEEE DataPort, 2025)