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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. ... -
Disparities in Diffuse Cortical White Matter Integrity Between Socioeconomic Groups
(Frontiers Media S.A., 2019-06-12)There is a growing literature demonstrating a link between lower socioeconomic status (SES) and poorer neuroanatomical health, such as smaller total and regional gray and white matter volumes, as well as greater white ... -
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 ... -
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 ... -
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 ... -
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; ... -
A comparison of Lyse-It to other cellular sample preparation, bacterial lysing, and DNA fragmentation technologies
(PLOS, 2019-07-23)The ability for safe and rapid pathogenic sample transportation and subsequent detection is an increasing challenge throughout the world. Herein, we describe and use bead-beating, vortex, sonication, 903 protein saver ... -
Escherichia Coli FeoC Binds a Redox-Active, Rapidly Oxygen-Sensitive [4Fe-4S] Cluster
(2019-02-07)The acquisition of iron is essential to establishing virulence among most pathogens. Under acidic and/or anaerobic conditions, most bacteria utilize the widely-distributed ferrous iron (Fe²⁺) uptake (Feo) system to import ... -
Distorted perovskites for high voltage dielectric capacitors
(SPIE, 2019-05-13)There are several mechanisms which have been proposed for the existence of colossal dielectric constant in the class of perovskite calcium copper titanate (CaCu₃Ti₄O₁₂ or CCTO) materials. Researches indicate that existence ... -
Design of materials for IR detectors using high Z elements for high energy radiation environment
(SPIE, 2019-05-13)There is a strong need for rad hard and high operating temperature IR detectors for space environment. Heavy metal Selenides (high Z and large density) have been investigated for more than half century for high operating ...
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