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Detecting Common Insulation Problems in Built Environments using Thermal Images
(IEEE, 2019-08-01)Proper thermal insulation yields optimum energy expenses in buildings by maintaining necessary heat gain or loss through the built envelope. However, improper thermal insulation causes significant energy wastage along with ... -
StanceScorer: A Data Driven Approach to Score Badminton Player
(IEEE, 2020-08-04)In recent times, wearable devices have gained immense popularity for IoT applications, especially for sports analytics. Recent works in sports analytics primarily focuses on improving a player's performance and help devise ... -
Blockchain-Enabled and Data-Driven Smart Healthcare Solution for Secure and Privacy-Preserving Data Access
(IEEE, 2021-07-12)The major advances in body-mounted sensors and wireless technologies have been revolutionizing the healthcare industry, where patient’s conditions can be remotely monitored by medical staff. Such a model is gaining broad ... -
A pathway towards high throughput Quantum Monte Carlo simulations for alloys: A case study of two-dimensional (2D) GaSₓSe₁₋ₓ
(2021-07-13)The study of alloys using computational methods has been a difficult task due to the usually unknown stoichiometry and local atomic ordering of the different structures experimentally. In order to combat this, first-principles ... -
Coherence of Quantum States after Noiseless Attenuation
(2021-07-09)Attenuating a quantum state using a beam splitter will introduce noise and decoherence. Here we show that heralding techniques can be used to attenuate Schrödinger cat states and squeezed vacuum states without any noise ... -
ECO-CollecTF: A Corpus of Annotated Evidence-Based Assertions in Biomedical Manuscripts
(Frontiers, 2021-07-13)Analysis of high-throughput experiments in the life sciences frequently relies upon standardized information about genes, gene products, and other biological entities. To provide this information, expert curators are ... -
Student-centric Model of Login Patterns: A Case Study with Learning Management Systems
(International Educational Data Mining Society, 2021)With the increasing adoption of Learning Management Systems (LMS) in colleges and universities, research in exploring the interaction data captured by these systems is promising in developing a better learning environment ... -
Heralding on the Detection of Zero Photons
(2021-07-19)Although heralding signals in quantum optics experiments are typically based on the detection of exactly 1 photon, it has recently been theoretically shown that heralding based on the detection of zero photons can be useful ... -
A Fast Method to Fine-Tune Neural Networks for the Least Energy Consumption on FPGAs
(UMBC Energy Efficient High Performance Computing Lab, 2021)Because of their simple hardware requirements, low bitwidth neural networks (NNs) have gained significant attention over the recent years, and have been extensively employed in electronic devices that seek efficiency and ... -
Excess Mortality in COVID-19-Positive Versus COVID-19-Negative Inpatients With Diabetes: A Nationwide Study
(American Diabetes Association, 2021-09) -
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory
(2021-09-27)Visual Commonsense Reasoning (VCR) predicts an answer with corresponding rationale, given a question-image input. VCR is a recently introduced visual scene understanding task with a wide range of applications, including ... -
Variational Bayes Estimation of Hidden Markov Models for Daily Precipitation with Semi-Continuous Emissions
(UMBC HPCF, 2021)Stochastic precipitation generators can simulate dry and wet rainfall stretches for long durations. Generated precipitation time series data are used in climate projections, impact assessment of extreme weather events, ... -
Eavesdropping on the Decohering Environment: Quantum Darwinism, Amplification, and the Origin of Objective Classical Reality
(2021-06-30)"How much information about a system S can one extract from a fragment F of the environment E that decohered it?" is the central question of Quantum Darwinism. To date, most answers relied on the quantum mutual information ... -
Trending machine learning models in cyber-physical building environment: A survey
(Wiley Online Library, 2021-06-29)Electricity usage of buildings (including offices, malls, and residential apartments) represents a significant portion of a nation's energy expenditure and carbon footprint. In the United States, the buildings' appliances ... -
Single-tone pulse sequences and robust two-tone shaped pulses for three silicon spin qubits with always-on exchange
(American Physical Society, 2021-06-22)Quantum computation requires high-fidelity single-qubit and two-qubit gates on a scalable platform. Silicon spin qubits are a promising platform toward realization of this goal. In this paper we show how to perform ... -
Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches
(PLOS, 2021-06-17)Effectively designing and evaluating public health responses to the ongoing COVID-19 pandemic requires accurate estimation of the prevalence of COVID-19 across the United States (US). Equipment shortages and varying testing ... -
Amphiphilic Near-IR-Emitting 3,5-Bis(2-Pyrrolylethenyl)BODIPY Derivatives: Synthesis, Characterization, and Comparison with Other (Hetero)Arylethenyl-Substituted BODIPYs
(2021-06-15)A series of 3,5-bis(hetero)arylethenyl-substituted BODIPY derivatives have been prepared by Knoevenagel-type condensation of alkyl-substituted BODIPY with the corresponding aldehydes. 2-Pyrrolylethenyl-substituted derivatives ... -
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary Labels
(2021-06-15)Thermal images reveal medically important physiological information about human stress, signs of inflammation, and emotional mood that cannot be seen on visible images. Providing a method to generate thermal faces from ... -
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
(2021-06-15)The use of Machine Learning has become a significant part of malware detection efforts due to the influx of new malware, an ever changing threat landscape, and the ability of Machine Learning methods to discover meaningful ... -
Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations
(2021-06-13)Currently, there is a surge of interest in fair Artificial Intelligence (AI) and Machine Learning (ML) research which aims to mitigate discriminatory bias in AI algorithms, e.g. along lines of gender, age, and race. While ...
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