UMBC College of Engineering and Information Technology
Browse by
Collections in this community
Recent Submissions
-
The SemIoTic Ecosystem: A Semantic Bridge between IoT Devices and Smart Spaces
(ACM, 2022-03-28)Smart space administration and application development is challenging in part due to the semantic gap that exists between the high-level requirements of users and the low-level capabilities of IoT devices. The stakeholders ... -
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
(2022-02-04)Keyword Spotting nowadays is an integral part of speech-oriented user interaction targeted for smart devices. To this extent, neural networks are extensively used for their flexibility and high accuracy. However, coming ... -
CoughNet-V2: A Scalable Multimodal DNN Framework for Point-of-Care Edge Devices to Detect Symptomatic COVID-19 Cough
(IEEE, 2022-04-01)With the emergence of COVID-19 pandemic, new attention has been given to different acoustic bio-markers of the respiratory disorders. Deep Neural Network (DNN) has become very popular with the audio classification task due ... -
HD Camera-Equipped UAV Trajectory Planning for Gantry Crane Inspection
(MDPI, 2022-03-30)While Unmanned Aerial Vehicles (UAVs) can be a valuable solution for the damage inspection of port machinery infrastructures, their trajectories are still prone to collision risks, trajectory non-smoothness, and large ... -
Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework
(MDPI, 2021-09-06)MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument onboard NASA’s Terra (launched in 1999) and Aqua (launched in 2002) satellite missions as part of the more extensive Earth Observation System (EOS). ... -
Neural Variational Learning for Grounded Language Acquisition
(IEEE, 2021-07-20)We propose a learning system in which language is grounded in visual percepts without specific pre-defined categories of terms. We present a unified generative method to acquire a shared semantic/visual embedding that ... -
Adversarial Transfer Attacks with Unknown Data and Class Overlap
(ACM, 2021-09-24)The ability to transfer adversarial attacks from one model (the surrogate) to another model (the victim) has been an issue of concern within the machine learning (ML) community. The ability to successfully evade unseen ... -
SmartSPEC: Customizable Smart Space Datasets via Event-driven Simulations
(2022-03-19)This paper presents SmartSPEC, an approach to generate customizable smart space datasets using sensorized spaces in which people and events are embedded. Smart space datasets are critical to design, deploy and evaluate ... -
A Survey of Multi-Tenant Deep Learning Inference on GPU
(2022-03-17)Deep Learning (DL) models have achieved superior performance. Meanwhile, computing hardware like NVIDIA GPUs also demonstrated strong computing scaling trends with 2x throughput and memory bandwidth for each generation. ... -
Highlighting the Usage of Polymeric Nanoparticles for the Treatment of Traumatic Brain Injury: A Review Study
(Elsevier, 2021-07)There are very limited options for treating traumatic brain injury (TBI). Nanoparticles offer the potential of targeting specific cell types, and, potentially, crossing the BBB under the right conditions making them an ... -
Storytelling for social justice and engagement: a materials science class
(ACS, 2021-09-08)The biographical stories of scientists and engineers, particularly those from historically excluded groups, have been integrated into the curriculum for a materials science course. The goal is to help students connect and ... -
Engineering PEGylated polyester nanoparticles to reduce complement-mediated infusion reaction
(ACS, 2021-09-09)Translation of intravenously administered nanomaterials to the clinic is limited due to adverse infusion reactions. While these reactions are infrequent, with up to 10% prone to experiencing infusion reactions, the reactions ... -
Finding the sweet spot: a library of hydrogels with tunable degradation for tissue model development
(Royal Society of Chemistry, 2022-03-07)In vitro models are valuable tools for applications including understanding cellular mechanisms and drug screening. Hydrogel biomaterials facilitate in vitro models by mimicking the extracellular matrix and in vivo ... -
Adsorption of furan, hexanoic acid, and alkanes in a hierarchical zeolite at reaction conditions: insights from molecular simulations
(Elsevier, 2020-11-27)Hierarchical zeolites containing both micropores and mesopores are valuable catalysts for facilitating reactions of large molecules. Furan acylation by fatty acids is a promising reaction for valorizing biomass, and the ... -
AI Descartes: Combining Data and Theory for Derivable Scientific Discovery
(2021-10-08)Scientists have long aimed to discover meaningful formulae which accurately describe experimental data. One common approach is to manually create mathematical models of natural phenomena using domain knowledge, then fit ... -
Ethanol and Water Adsorption in Conventional and Hierarchical All-Silica MFI Zeolites
(ACS, 2021-11-16)Hierarchical zeolites containing both micro- (<2 nm) and mesopores (2–50 nm) have gained increasing attention in recent years because they combine the intrinsic properties of conventional zeolites with enhanced mass transport ... -
Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO)
(PLOS, 2021-10-28)Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an ... -
Modular Co-Culture Engineering of Yarrowia Lipolytica for Amorphadiene Biosynthesis
(2022-03-02)Amorphadiene is an intermediate product of the first dedicated step to artemisinin production. It has attracted wide research interest as an antimalaria drug precursor in recent years. The efficient conversion of renewable ... -
Keyphrase Extraction for Technical Language Processing
(NIST, 2021-03-09)Keyphrase extraction is an important facet of annotation tools that offer the provision of the metadata necessary for technical language processing (TLP). Because TLP imposes additional requirements on typical natural ... -
Detecting Laser Fault Injection Attacks via Time-to-Digital Converter Sensors
(2022)Fault Injection Attacks (FIA) have received a lot of attention in recent years. An adversary launches such an attack to abusively take control over the system or to leak sensitive data. Laser illumination has been ...
RSS 1.0