A5031689008- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Mobile Agent-Based Network Management
- Machine Learning in Healthcare
- Personal Information Management and User Behavior
- Context-Aware Activity Recognition Systems
- Logic, Reasoning, and Knowledge
- Topic Modeling
- Semantic Web and Ontologies
- Distributed and Parallel Computing Systems
- Data Management and Algorithms
- Mental Health via Writing
- Caching and Content Delivery
- Opioid Use Disorder Treatment
- Posttraumatic Stress Disorder Research
- Usability and User Interface Design
- Artificial Intelligence in Healthcare and Education
- EEG and Brain-Computer Interfaces
- User Authentication and Security Systems
- Data Quality and Management
- Peer-to-Peer Network Technologies
- Optimization and Mathematical Programming
- Advanced Memory and Neural Computing
- Sentiment Analysis and Opinion Mining
Marquette University
2013-2024
Georgia State University
2002-2015
A travel recommendation system based on social media activity provides a customized place of interest to accommodate user-specific needs and preferences. In general, the user's inclination towards destinations is subject change over time. this project, we have analyzed users' twitter data, as well their friends followers in timely fashion understand recent interest. machine learning classifier identifies tweets relevant travel. The are then used obtain personalized recommendations. Unlike...
Text classification is a basic task in natural language processing (NLP) with applications from sentiment analysis to question-answering chat bots. In recent years, transformer-based models have emerged as the prevailing framework NLP, demonstrating excellent results across many benchmarks. This paper recommends an expanded taxonomy of and provides review performance different these applications. The use traditional research techniques plus co-citation bibliographic coupling comprehensive...
Stock market prices are becoming more and volatile, largely due to improvements in technology increased trading volume. Speculation affects business owners, investors, policymakers alike. While these seemingly unpredictable trends continue, investors consumers take social media share thoughts opinions. We use information shared over StockTwits, a platform for better understand predict individual stock prices. designed implemented three machine learning models forecast using the dataset...
A neutrosophic set is a part of neutrosophy that studies the origin, nature, and scope neutralities, as well their interactions with different ideational spectra. The powerful general formal framework has been recently proposed. However, needs to be specified from technical point view. Now we define set-theoretic operators on an instance set, call it Interval Neutrosophic Set (INS). We prove various properties INS, which are connected operations relations over INS. Finally, introduce...
This paper describes "Computational Thinking for the Sciences", a 3-day summer workshop high school science and mathematics teachers. Our emphasizes deep connections between natural sciences, computer through activities simulation development appropriate scientific explorations. Teachers were exposed to in VPython, visual extension popular Python programming language. By broadening exposure of computational thinking sciences developing specifically domains, we hope attract new students into...
Personalization of recommender systems enables customized services to users. Social media is one resource that aids personalization. This study explores the use twitter data personalize travel recommendations. A machine learning classification model used identify related tweets. The tweets are then recommendations regarding places interest for user. Places categorized as: historical buildings, museums, parks, and restaurants. To better model, user's friends followers also mined. Volunteer...
The NIH All of Us Research Program aims to advance personalized medicine by not only linking patient records, surveys, and genomic data but also engaging with participants, particularly from groups traditionally underrepresented in biomedical research (UBR). This study details how the dialogue between scientists community members, including many communities color, shaped local priorities.
Integrity constraints are valuable tools for enforcing consistency of data in a database. Global integrity ensure and spanning multiple databases. In this paper, we propose general framework mobile agent based approach checking global constraints. An insert/update/delete initiated on single site, say S1 may cause the violation constraint. The check such involves accessing related from sites, S2...Sn. Constraint Checker site generates sub constraint checks sites S2...Sn sends remote agents,...
The Chief Complaint (CC) is a crucial component of patient's medical record as it describes the main reason or concern for seeking care. It provides critical information healthcare providers to make informed decisions about patient However, documenting CCs can be time-consuming providers, especially in busy emergency departments. To address this issue, an autocompletion tool that suggests accurate and well-formatted phrases sentences clinical notes valuable resource triage nurses. In study,...
State-of-the-art techniques (SOTA) for motor imagery decoding have largely involved the use of common spatial patterns (CSP) and power spectral density (PSD), feature extraction. Other frequency transforms, such as wavelets empirical mode decomposition (EMD) also been used but aforementioned two most popular. For classification, linear discriminant analysis (LDA) support vector machines (SVM) mostly used. It is, however, worth investigating other approaches, deep learning, which offer a...
Global semantic integrity constraints ensure and consistency of data spanning multiple databases. In this paper, we take initial steps towards representing global for XML We also provide a general framework checking Furthermore, set forth an efficient algorithm across Our is three reasons: (1) the does not require update statement to be executed before constraint check carried out; hence, avoid any potential problems associated with rollbacks, (2) sub checks are in parallel, (3) most...
The Stock Market is a big influence on both national and international economies. prices are driven by number of factors: industry performance, company news investor confidence, micro macro economic factors like employment rates, wage etc. pricing trends can be gauged from the that drive it as well stock's historical performance. As fluctuations in stock become more volatile unpredictable, forecasting models help reduce some randomness involved investing financial decision making. Users...
U.S. military veterans face an elevated risk of suicide or exhibiting suicidal behaviors. Peer-support interventions have proven to be effective for because their shared experience and community. However, as might a mental health crisis at any time, it is crucial that the mentors can identify peers' warning signs early enough. Mobile technology has potential facilitate improve peer-to-peer communication. Gaining understanding how veteran community perceives symptoms, well values...
Unwanted and untimely interruptions have been a major cause in the loss of productivity recent years as they are mostly detrimental to immediate task at hand. Multiple approaches proposed address problem interruption by calculating cost interruption. The (COI) gives measure probabilistic value harmfulness an inopportune Bayesian Inference stands atop among models that applied calculate this COI. However inference based suffer from not being able model context accurately situations where...
As the number of worldwide cellular subscriptions approaches world's population, negative effects cell phone disruption have become increasingly apparent. With advances in mobile phones, specifically their sensor technology, phones are now capable moderating interruptions based on whether or not user would want an interruption. Research into area interruption management has provided models and architectures for creation such application. However, to our knowledge, there no systems currently...
We have earlier introduced constraint checker, a general framework for checking global constraints using an agent based approach. In this paper, we complement the checker with algorithms involving aggregates in presence of updates. The take as input update statement, list aggregates, and granulizes each into sub granules. granules are executed locally on remote sites then algorithm decides if is violated these executions. efficient checks
Early intervention for veterans in crisis represents a crucial area of study to reduce the psychological and health burdens this population. Traumatic experiences associated with military service are drug alcohol abuse, suicidality, anger, disrupted work family relationships. This project used machine learning (ML) models integrate data from sociodemographic, self-report baseline symptoms, weekly brief Ecological momentary assessment (EMA) survey community-based 12-week peer support program...