Now showing items 1-16 of 16

    • Artificial Intelligence Based Cloud Distributor (AI-CD): Probing Low Cloud Distribution with a Conditional Generative Adversarial Network 

      Yuan, Tianle (2019-05-21)
      Here we introduce the artificial intelligence-based cloud distributor (AI-CD) approach to generate two-dimensional (2D) marine low cloud reflectance fields. AI-CD uses a conditional generative adversarial net (cGAN) ...
    • A Comprehensive X-ray Report on AT2019wey 

      Yao, Yuhan; Kulkarni, S. R.; Gendreau, K. C.; Jaisawal, Gaurava K.; Enoto, Teruaki; Grefenstette, Brian W.; Marshall, Herman L.; Garcia, Javier A.; Ludlam, R. M.; Pike, Sean N.; Ng, Mason; Zhang, Liang; Altamirano, Diego; Jaodand, Amruta; Cenko, S. Bradley; Remillard, Ronald A.; Steiner, James F.; Negoro, Hitoshi; Brightman, Murray; Lien, Amy; Wolff, Michael T.; Ray, Paul S.; Mukai, Koji; Wadiasingh, Zorawar; Arzoumanian, Zaven; Kawai, Nobuyki; Mihara, Tatehiro; Strohmayer, Tod E. (2020-11-30)
      The Galactic low-mass X-ray binary AT2019wey (ATLAS19bcxp, SRGA J043520.9+552226, SRGE J043523.3+552234, ZTF19acwrvzk) was discovered as a new optical transient in Dec 2019, and independently as an X-ray transient in Mar ...
    • Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks 

      Mirzaeian, Ali; Kosecka, Jana; Homayoun, Houman; Mohsenin, Tinoosh; Sasan, Avesta
      This paper proposes an ensemble learning model that is resistant to adversarial attacks. To build resilience, we introduced a training process where each member learns a radically distinct latent space. Member models are ...
    • Estimating Buildings’ Parameters over Time Including Prior Knowledge 

      Pathak, Nilavra; Foulds, James; Roy, Nirmalya; Banerjee, Nilanjan; Robucci, Ryan (2019-02-04)
      Modeling buildings’ heat dynamics is a complex process which depends on various factors including weather, building thermal capacity, insulation preservation, and residents’ behavior. Graybox models offer an explanation ...
    • Fast estimation of genetic correlation for Biobank-scale data 

      Wu, Yue; Yaschenko, Anna; Heydary, Mohammadreza Hajy; Sankararaman, Sriram (Cold Spring Harbor Laboratory, 2019-01-20)
      Genetic correlation, i.e., the proportion of phenotypic correlation across a pair of traits that can be explained by genetic variation, is an important parameter in efforts to understand the relationships among complex ...
    • Fast estimation of genetic correlation for Biobank-scale data 

      Wu, Yue; Yaschenko, Anna; Heydary, Mohammadreza Hajy; Sankararaman, Sriram (Cold Spring Harbor Laboratory, 2019-01-20)
      Genetic correlation, i.e., the proportion of phenotypic correlation across a pair of traits that can be explained by genetic variation, is an important parameter in efforts to understand the relationships among complex ...
    • Impacts of Quantum Chemistry Calculations on Exoplanetary Science, Planetary Astronomy, and Astrophysics 

      Kao, Der-you; Gacesa, Marko; Wentzcovitch, Renata M.; Domagal-Goldman, Shawn; Kopparapu, Ravi K.; Klippenstein, Stephen J.; Charnley, Steven B.; Henning, Wade G.; Renaud, Joe; Romani, Paul; Lee, Yuni; Nixon, Conor A.; Jackson, Koblar A.; Cordiner, Martin A.; Lombardo, Nicholas A.; Wieman, Scott; Airapetian, Vladimir; Allen, Veronica; Pidhorodetska, Daria; Kohler, Erika; Moses, Julianne; Livengood, Timothy A.; Simkus, Danielle N.; Planavsky, Noah J.; Dong, Chuanfei; Yuen, David A.; Berg, Arie van den; Pavlov, Alexander A.; Fortney, Jonathan J. (American Astronomical Society, 2019-05)
      Quantum chemical simulations have matured enough to describe real systems with an accuracy that competes with experiments. Several existing quantum chemical studies supporting exoplanetary science are described, and the ...
    • Integration of GOCI and AHI Yonsei Aerosol Optical Depth Products During the 2016 KORUS-AQ and 2018 EMeRGe Campaigns 

      Lim, Hyunkwang; Go, Sujung; Kim, Jhoon; Choi, Myungje; Lee, Seoyoung; Song, Chang-Keun; Kasai, Yasuko (Copernicus Publications, 2020-09-17)
      The Yonsei AErosol Retrieval (YAER) algorithm for the Geostationary Ocean Color Imager (GOCI) retrieves aerosol optical properties only over dark surfaces, so it is important to mask pixels with bright surfaces. The Advanced ...
    • Low-Order Model of Biological Neural Networks 

      Wang, Huachuan; Ting-Ho Lo, James (2020-12-12)
      A biologically plausible low-order model (LOM) of biological neural networks is a recurrent hierarchical network of dendritic nodes/trees, spiking/nonspiking neurons, unsupervised/ supervised covariance/accumulative learning ...
    • Microfibrous extracellular matrix enhances in vitro modeling of the liver hepatocytes by modulating metabolism and integrin expression 

      Huang, Tianjiao; Jones, Curtis G.; Chung, Jay H.; Chen, Chengpeng (ACM, 2020-01)
      2 Introduction The liver carries out a number of essential functions, including blood detoxification, protein synthesis, regulation of energy balance, and production of other biochemicals to maintain the whole-body ...
    • A Modular Toolkit to Fabricate Microfluidic Devices for 3D Cell Culture and Near Real-time Measurements 

      Kabandana, Giraso Keza Monia; Ratajczak, Adam Michael; Chen, Chengpeng (figshare, 2020-09-09)
      Microfluidic technology has tremendously facilitated the development of in vitro cell cultures and studies. Conventionally, microfluidic devices are fabricated with extensive facilities by well-trained researchers, which ...
    • Note on Mean Vector Testing for High-Dimensional Dependent Observations 

      Cho, Seonghun; Lim, Johan; Ayyala, Deepak Nag; Park, Junyong; Roy, Anindya (2019-04-19)
      For the mean vector test in high dimension, Ayyala et al.(2017,153:136-155) proposed new test statistics when the observational vectors are M dependent. Under certain conditions, the test statistics for one-same and ...
    • Shear-Driven Transition to Isotropically Turbulent Solar Wind Outside the Alfv´en Critical Zone 

      Ruffolo, D.; Matthaeus, W. H.; Chhiber, R.; Usmanov, A. V.; Yang, Y.; Bandyopadhyay, R.; Parashar, T. N.; Goldstein, M. L.; DeForest, C. E.; Wan, M.; Chasapis, A.; Maruca, B. A.; Velli, M.; Kasper, J. C. (2020-09-15)
      Motivated by prior remote observations of a transition from striated solar coronal structures to more isotropic ``flocculated'' fluctuations, we propose that the dynamics of the inner solar wind just outside the Alfvén ...
    • Supporting Human Interactions within Integrated Manufacturing Systems 

      Tolone, William J.; Chu, Bei-tseng; Long, Junsheng; Wilhelm, Robert; Finin, Tim; Peng, Yun (1998-12-01)
      Application integration is a focus of many major research initiatives. A driving force behind application integration is a desire for enterprise-wide integration of organizational business processes. On the surface, increased ...
    • Ultrastrong coupling of polar phonons and effective epsilon-near-zero modes in coaxial nanocavities 

      Yoo, Daehan; Leon-Perez, Fernando de; Lee, In-Ho; Mohr, Daniel A.; Pelton, Matthew; Raschke, Markus B.; Caldwell, Joshua D.; Martın-Moreno, Luis; Oh, Sang-Hyun (2020-02-29)
      Ultrastrong coupling (USC), where the light-matter coupling strength is comparable to the resonance frequency of the uncoupled bare system, presents new frontiers in nanophotonics. However, it has remained notoriously ...
    • Unravelling the physical and physiological basis for the solar-induced chlorophyll fluorescence and photosynthesis relationship 

      Yang, Peiqi; Tol, Christiaan Van der; Campbell, Petya K. E.; Middleton, Elizabeth M. (Copernicus Publications, 2020-09-08)
      Estimates of the gross terrestrial carbon uptake exhibit large uncertainties. Sun-induced chlorophyll fluorescence (SIF) has an apparent near-linear relationship with gross primary production (GPP). This relationship will ...