UMBC Information Systems Department
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Cultivating Clinical Experience: Effectiveness of Blended Learning in Pharmacy Education
(Interdisciplinary Journal of Virtual Learning in Medical Sciences, 2021)The scope of health professions is widening at an exponential rate. As such, training in these fields must adapt quickly. Pharmacy is one of the fields in the healthcare sector that needs to change to meet the needs of the ... -
Using Physiological Cues to Determine Levels of Anxiety Experienced among Deaf and Hard of Hearing English Language Learners
(ACM, 2020-10)Deaf and hard of hearing English language learners encounter a range of challenges when learning spoken/written English, many of which are not faced by their hearing counterparts. In this paper, we examine the feasibility ... -
Disentangled Dynamic Graph Deep Generation
Deep generative models for graphs have exhibited promising performance in ever-increasing domains such as design of molecules (i.e, graph of atoms) and structure prediction of proteins (i.e., graph of amino acids). Existing ... -
Do we need to go Deep? Knowledge Tracing with Big Data
(2021-01-20)Interactive Educational Systems (IES) enabled researchers to trace student knowledge in different skills and provide recommendations for a better learning path. To estimate the student knowledge and further predict their ... -
Black Power in Washington, D.C., 1961-1998
In late 1967, Stokely Carmichael, the nation’s foremost Black Power advocate, surveyed the landscape of U.S. politics looking for a place where concerted black organizing could have its deepest impact. He chose Washington, D.C. -
The Cyber Network Guide: Studies in Systems, Decision and Control Pre-incident Planning and Analysis; alternate title: The Cyber Network Guide: Studies in Systems, Decision and Control Incident Detection and Characterization
The purpose of cyber-physical planning and analysis under the Cyber Network Guide, Studies in Systems, Decision and Control textbook is to standardize requirements for cyber-physical preparedness (including vulnerability ... -
Design and Deployment of a Flash Flood Monitoring IoT: Challenges and Opportunities
(IEEE, 2020-11-06)Successful implementation of the Internet of Thing (IoT) is precursory to a thriving smart city. However, the technical, physical, and environmental conditions can often pose challenges in their successful deployments. The ... -
Flood Detection Framework Fusing The Physical Sensing & Social Sensing
(IEEE, 2020-09)We investigate the practical challenge of localized flood detection in real smart city environment using the fusion of physical sensor and social sensing models to depict a reliable and accurate flood monitoring and detection ... -
Predicting Residential Property Value in Catonsville, Maryland: A Comparison of Multiple Regression Techniques
This study aims to predict the prices of residential properties in Catonsville, MD based on publicly available tax assessment data maintained by Maryland government institutions. Recent legislation in Maryland has made it ... -
Reply to: Examining microbe–metabolite correlations by linear methods
Quinn and Erb propose to apply a centered log-ratio (CLR) transform before performing correlation analysis and make the case that, when used correctly, correlation and proportionality can outperform MMvec in identifying ... -
OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users
Stay at home order during the COVID-19 helps flatten the curve but ironically, instigate mental health problems among the people who have Substance Use Disorders. Measuring the electrical activity signals in brain using ... -
Integrating Text Embedding with Traditional NLP Features for Clinical Relation Extraction
Recently, text embedding techniques such as Word2Vec and BERT have produced state-of-the-art results in a wide variety of NLP tasks. As a result, traditional NLP features frequently used in Information Extraction (IE) such ... -
Graph-Based Intrusion Detection System for Controller Area Networks
The controller area network (CAN) is the most widely used intra-vehicular communication network in the automotive industry. Because of its simplicity in design, it lacks most of the requirements needed for a security-proven ... -
Neural Fair Collaborative Filtering
A growing proportion of human interactions are digitized on social media platforms and subjected to algorithmic decision-making, and it has become increasingly important to ensure fair treatment from these algorithms. In ... -
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data
With the increased attention on thermal imagery for Covid-19 screening, the public sector may believe there are new opportunities to exploit thermal as a modality for computer vision and AI. Thermal physiology research has ... -
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
(2020-12-05)Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL provide good benchmarks for several tasks ... -
Machine Learning Based Algorithms for Global Dust Aerosol Detection From Satellite Images: Inter-Comparisons and Evaluation
(2020-12-08)Identifying dust aerosols from passive satellite images is of great interest for many applications. In this study, we developed 5 different machine-learning (ML) and deep-learning (DL) based algorithms, including Logistic ... -
Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies
(IEEE, 2020-12-13)Data protection authorities formulate policies and rules which the service providers have to comply with to ensure security and privacy when they perform Big Data analytics using users Personally Identifiable Information ... -
Cloud-based Encrypted EHR System with Semantically Rich Access Control and Searchable Encryption
Cloud-based electronic health records (EHR) systems provide important security controls by encrypting patient data. However, these records cannot be queried without decrypting the entire record. This incurs a huge amount ... -
A Methodology to Analyze Self-Reflection in E-Portfolios
This Research to Practice Work-In-Progress offers an approach toward assessing self-reflections in e-portfolios written by undergraduate student-Scholars in a Grand Challenge Scholars Program within the College of Engineering ...
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