UMBC Information Systems Department
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Recent Submissions
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Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data
(2023-04-27)Clustering high-dimensional spatiotemporal data using an unsupervised approach is a challenging problem for many data-driven applications. Existing state-of-the-art methods for unsupervised clustering use different similarity ... -
TinyM²Net-V2: A Compact Low Power Software Hardware Architecture for Multimodal Deep Neural Networks
(ACM, 2023-05-03)With the evaluation of Artificial Intelligence (AI), there has been a resurgence of interest in how to use AI algorithms on low-power embedded systems to broaden potential use cases of the Internet of Things (IoT). To mimic ... -
A Systematic Study on Object Recognition Using Millimeter-wave Radar
(2023-05-03)Due to its light and weather-independent sensing, millimeter-wave (MMW) radar is essential in smart environments. Intelligent vehicle systems and industry-grade MMW radars have integrated such capabilities. Industry-grade ... -
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems
(2023-05-05)Gathering knowledge about surroundings and generating situational awareness for IoT devices is of utmost importance for systems developed for smart urban and uncontested environments. For example, a large-area surveillance ... -
A Comprehensive Study of Gradient Inversion Attacks in Federated Learning and Baseline Defense Strategies
(IEEE, 2023-04-10)With a greater emphasis on data confidentiality and legislation, collaborative machine learning algorithms are being developed to protect sensitive private data. Federated learning (FL) is the most popular of these methods, ... -
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey
(2023-04-25)Virtual Mental Health Assistants (VMHAs) are seeing continual advancements to support the overburdened global healthcare system that gets 60 million primary care visits, and 6 million Emergency Room (ER) visits annually. ... -
Investigating an Equity-based Participatory Approach to Technology-rich Learning in Community Recreation Centers
(ACM, 2023-04-19)Understanding how to design and implement equity-based approaches to technology-rich learning can lead to increased and diversified participation in computing. Do-it-yourself (DIY) and maker approaches to interactive ... -
The Future of Hybrid Care and Wellbeing in HCI
(ACM, 2023-04-19)This workshop focuses on remote care and wellbeing as we transition into a world increasingly adopting hybrid lifestyles and modes of operation. Care and care work have predominantly been researched in traditionally ... -
Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective
(WIREs, 2023-03-21)The rapid and impromptu interest in the coupling of machine learning algorithms with wearable and contactless sensors aimed at tackling real-world problems warrants a pedagogical study to understand all the aspects of this ... -
Perceptions of Task Interdependence in Software Development: An Industrial Case Study
(2023-04-19)Context: Task interdependence is a work design factor that expresses the mutual dependency between tasks that compose a whole work. In software development, task interdependencies are created by the technical dependencies ... -
SUSIC: A Secure User Access Control mechanism for SDN-enabled IIoT and Cyber Physical Systems
(IEEE, 2023-04-19)The integration of thriving Information and Communications Technology (ICT) and Cyber Physical Systems (CPS) has spawned several innovative applications such as remote healthcare, smart and intelligent transportation, smart ... -
Youths' Usage of an Informal Chatting Tool in an After-school 3D Print Shop
(ACM, 2023-04-16)Digital technological advancements have been a driving force in the continued evolution of the modern workplace. One notable change is an increased reliance on informal chatting tools in support of both distributed and ... -
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery
(2023-03-14)Novel Categories Discovery (NCD) facilitates learning from a partially annotated label space and enables deep learning (DL) models to operate in an open-world setting by identifying and differentiating instances of novel ... -
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey
(2023-04-07)Machine learning-based wearable human activity recognition (WHAR) models enable the development of various smart and connected community applications such as sleep pattern monitoring, medication reminders, cognitive health ... -
Differential Fairness: An Intersectional Framework for Fair AI
(MDPI, 2023-04-14)We propose definitions of fairness in machine learning and artificial intelligence systems that are informed by the framework of intersectionality, a critical lens from the legal, social science, and humanities literature ... -
Cube-Evo: A Query-Efficient Black-Box Attack on Video Classification System
(IEEE, 2023-04-13)The current progressive research in the domain of black-box adversarial attack enhances the reliability of deep neural network (DNN)-based video systems. Recent works mainly carry out black-box adversarial attacks on video ... -
KGS: Causal Discovery Using Knowledge-guided Greedy Equivalence Search
(2023-04-11)Learning causal relationships solely from observational data provides insufficient information about the underlying causal mechanism and the search space of possible causal graphs. As a result, often the search space can ... -
Advances in Cybercrime Prediction: A Survey of Machine, Deep, Transfer, and Adaptive Learning Techniques
(2023-04-10)Cybercrime is a growing threat to organizations and individuals worldwide, with criminals using increasingly sophisticated techniques to breach security systems and steal sensitive data. In recent years, machine learning, ... -
Deep Reinforcement Learning and NOMA-Based Multi-Objective RIS-Assisted IS-UAV-TNs: Trajectory Optimization and Beamforming Design
(IEEE, 2023-04-26)In this paper, we discuss the co-optimized performance of multi-reconfigurable intelligent surface (RIS)-assisted integrated satellite-unmanned aerial vehicle-terrestrial network (IS-UAV-TN), where the multiple vehicle ... -
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions
(2023-03-28)Predicting crime using machine learning and deep learning techniques has gained considerable attention from researchers in recent years, focusing on identifying patterns and trends in crime occurrences. This review paper ...
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