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Hybrid Causality Analysis of ENSO’s Global Impacts on Climate Variables Based on Data-Driven Analytics and Climate Model Simulation
(Frontiers, 2019-09-18)Numerous studies have indicated that El Niño and the southern oscillation (ENSO) could have determinant impacts on remote weather and climate using the conventional correlation-based methods, which however, cannot identify ... -
Thermoelectric properties enhancement of p-type composite films using wood-based binder and mechanical pressing
(Springer Nature Limited, 2019-05-27)Thermoelectric generators (TEGs) fabricated using additive manufacturing methods are attractive because they offer the advantages of scalability, lower cost, and potentially higher power density than conventional TEGs. ... -
On the transition to secondary Kerr combs in whispering-gallery mode resonators
(Optical Society of America, 2019)We demonstrate that extended dissipative structures in Kerr-nonlinear whispering-gallery mode resonators undergo a spatiotemporal instability, as the pumping parameters are varied. We show that the dynamics of the patterns ... -
Bolt loosening detection in a jointed beam using empirical mode decomposition–based nonlinear system identification method
(SAGE Journals, 2019-08-14)In this work, a state-of-art nonlinear system identification method based on empirical mode decomposition is utilized and extended to detect bolt loosening in a jointed beam. This nonlinear system identification method ... -
Mobile Device Security Corporate-Owned Personally-Enabled (COPE)
(NIST, 2019-07)Mobile devices provide access to workplace data and resources that are vital for organizations to accomplish their mission while providing employees the flexibility to perform their daily activities. Securing these devices ... -
In vitro Study of Transvascular Transport of Nanostructures using a 3D Printed Microfluidic Platform
(2018-08)Microfluidics platform simulating gold nanostructures transport in tumor vascular was fabricated using 3D printing technology. Synthesis Au nanoparticles and nanorods are used to test the fabricated device using 1µm porous ... -
Unsupervised hyperspectral band selection in the compressive sensing domain
(SPIE, 2019-05-14)Band selection (BS) algorithms are an effective means of reducing the high volume of redundant data produced by the hundreds of contiguous spectral bands of Hyperspectral images (HSI). However, BS is a feature selection ... -
Iterative constrained energy minimization convolutional neural network for hyperspectral image classification
(SPIE, 2019-05-14)In hyperspectral image classification, how to jointly take care of spectral and spatial information received considerable interest lately, and many spectral-spatial classification approaches have been proposed. Unlike ... -
Unsupervised iterative CEM-clustering based multiple Gaussian feature extraction for hyperspectral image classification
(SPIE, 2019-05-14)Recently, many spectral-spatial hyperspectral image classification techniques have been developed, such as widely used EPF-based and composite kernel-based approaches. However, the performance of these types of ... -
A Semantic Approach for Automating Knowledge in Policies of Cyber Insurance Services
(IEEE, 2019-07-08)With the rapid adoption of web services, the need to protect against various threats has become imperative for organizations operating in cyberspace. Organizations are increasingly opting to get financial cover in the ... -
GENPass: A Multi-Source Deep Learning Model For Password Guessing
(IEEE, 2019-09-11)The password has become today’s dominant method of authentication. While brute-force attack methods such as HashCat and John the Ripper have proven unpractical, the research then switches to password guessing. ... -
Building Language-Agnostic Grounded Language Learning Systems
(2019)Learning the meaning of grounded language— language that references a robot’s physical environment and perceptual data—is an important and increasingly widely studied problem in robotics and human-robot interaction. ... -
Virtual Reality and Photogrammetry for Improved Reproducibility of Human-Robot Interaction Studies
(IEEE, 2019-08-15)Collecting data in robotics, especially human-robot interactions, traditionally requires a physical robot in a prepared environment, which presents substantial scalability challenges. First, robots provide many possible ... -
Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia
(Frontiers in Neuroscience, 2019-09-24)Dynamic functional network connectivity (dFNC) analysis is a widely-used to study associations between dynamic functional correlations and cognitive abilities. Traditional methods analyze time-varying association of different ... -
Information Exposure (IEX): A New Class in the Bugs Framework (BF)
(IEEE, 2019-07-09)Exposure of sensitive information can be harmful on its own. In addition, it could enable further attacks. A rigorous and unambiguous definition of information exposure faults can help researchers and practitioners ... -
PyLZJD: An Easy to Use Tool for Machine Learning
As Machine Learning (ML) becomes more widely known and popular, so too does the desire for new users from other backgrounds to apply ML techniques to their own domains. A difficult prerequisite that often confounds new ... -
Unsupervised automatic target generation process via compressive sensing
(SPIE, 2019-05-13)Unsupervised target generation for hyperspectral imagery (HSI) have generated great interest in the hyperspectral community. However, most of the current unsupervised target generation algorithms have to process large HSI ... -
Deep-UV standoff Raman spectroscopy
(SPIE, 2019-05-13)The availability of high peak-power laser systems capable of delivering intense deep-UV pulses has brought renewed interest in using Raman spectroscopy as both a selective and sensitive analytical technique for ... -
A compressed sensing approach to hyperspectral classification
(SPIE, 2019-05-13)Although hyperspectral technology has continued to improve over the years, its use is often still limited due to size, weight and power (SWaP) constraints. One of the more taxing requirements, is the need to sample a large ... -
Analyzing Visible Light Communication Through Air–Water Interface
(IEEE, 2019-08-30)In underwater wireless networks (UWNs), conventionally there is no direct communication between an underwater node and a remote command center. A floating base-station is often used to serve as an interface to a UWN; ...
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