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Related papers: Using cGANs for Anomaly Detection: Identifying Ast…

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This paper proposes a novel approach based on conditional Generative Adversarial Networks (cGAN) for breast mass segmentation in mammography. We hypothesized that the cGAN structure is well-suited to accurately outline the mass area,…

JWST has uncovered a substantial population of high-$z$ ($z \gtrsim 4$) galaxies exhibiting broad H$\alpha$ emission line with a Full Width at Half Maximum exceeding 1,000 km/s. This population consists of a well-known subset called Little…

Astrophysics of Galaxies · Physics 2025-11-14 Mitsuru Kokubo , Yuichi Harikane

Generative Adversarial Net (GAN) has been proven to be a powerful machine learning tool in image data analysis and generation. In this paper, we propose to use Conditional Generative Adversarial Net (CGAN) to learn and simulate time series…

Machine Learning · Statistics 2019-04-26 Rao Fu , Jie Chen , Shutian Zeng , Yiping Zhuang , Agus Sudjianto

This study introduces an innovative application of Conditional Generative Adversarial Networks (C-GAN) integrated with Stacked Hourglass Networks (SHGN) aimed at enhancing image segmentation, particularly in the challenging environment of…

Image and Video Processing · Electrical Eng. & Systems 2024-08-06 Haowei Yang , Yuxiang Hu , Shuyao He , Ting Xu , Jiajie Yuan , Xingxin Gu

Inferring transient molecular structural dynamics from diffraction data is an ambiguous task that often requires different approximation methods. In this paper we present an attempt to tackle this problem using machine learning. While most…

Chemical Physics · Physics 2023-08-09 Hazem Daoud , Dhruv Sirohi , Endri Mjeku , John Feng , Saeed Oghbaey , R. J. Dwayne Miller

We report the discovery of 13 broad-line AGNs at $z = 5 - 8$ from the first 10% data of the JWST Cycle 3 Treasury Program COSMOS-3D. These AGNs are identified by their broad H$\alpha$ or H$\beta$ emission lines through the NIRCam grism…

The increasing complexity of IoT edge networks presents significant challenges for anomaly detection, particularly in identifying sophisticated Denial-of-Service (DoS) attacks and zero-day exploits under highly dynamic and imbalanced…

Machine Learning · Computer Science 2025-12-02 Henry Onyeka , Emmanuel Samson , Liang Hong , Tariqul Islam , Imtiaz Ahmed , Kamrul Hasan

We present a first look at the reddest 2-5$\mu\rm m$ sources found in deep images from the GLASS Early Release Science program. We undertake a general search, i.e. not looking for any particular spectral signatures, for sources detected…

The selection of candidate high-redshift galaxies using the dropout technique targeting the Lyman-break signature sometimes yields very bright objects that are too luminous to be easily explained if they are indeed at the expected…

Astrophysics of Galaxies · Physics 2025-05-21 Bangzheng Sun , Haojing Yan

Generative adversarial networks (GANs) have shown promise for various problems including anomaly detection. When anomaly detection is performed using GAN models that learn only the features of normal data samples, data that are not similar…

Machine Learning · Computer Science 2020-12-23 Teguh Budianto , Tomohiro Nakai , Kazunori Imoto , Takahiro Takimoto , Kosuke Haruki

Anomaly detection plays in many fields of research, along with the strongly related task of outlier detection, a very important role. Especially within the context of the automated analysis of video material recorded by surveillance…

Computer Vision and Pattern Recognition · Computer Science 2019-08-09 Thomas Golda , Nils Murzyn , Chengchao Qu , Kristian Kroschel

The Near Infrared Camera (NIRCam) on the James Webb Space Telescope (JWST) will be an incredibly powerful instrument for studying red supergiants (RSGs). The high luminosities and red peak wavelengths of these stars make them ideal targets…

Solar and Stellar Astrophysics · Physics 2018-11-28 Emily M. Levesque

We have observed the environments of a population of 33 heavily dust obscured, ultra-luminous, high-redshift galaxies, selected using WISE and NVSS at $z>$1.3 with the Infra-Red Array Camera on the $Spitzer$ Space Telescope over…

We present the first results from CECILIA, a Cycle 1 JWST NIRSpec/MSA program that uses ultra-deep ~30 hour G235M/F170LP observations to target multiple electron temperature-sensitive auroral lines in the spectra of 33 galaxies at z~1-3.…

We present the Red Unknowns: Bright Infrared Extragalactic Survey (RUBIES), providing JWST/NIRSpec spectroscopy of red sources selected across ~150 arcmin$^2$ from public JWST/NIRCam imaging in the UDS and EGS fields. RUBIES novel observing…

We present chemical abundance ratios of 70 star-forming galaxies at $z\sim4$-10 observed by the JWST/NIRSpec ERO, GLASS, and CEERS programs. Among the 70 galaxies, we have pinpointed 2 galaxies, CEERS_01019 at $z=8.68$ and GLASS_150008 at…

Spatially compact objects with extremely red color in the rest-frame optical to near-infrared (0.4--1 ${\rm \mu m}$) and blue color in the rest-frame ultraviolet (UV; 0.2--0.4 ${\rm \mu m}$) have been discovered at $5 < z < 9$ using the…

Astrophysics of Galaxies · Physics 2023-12-06 Akatoki Noboriguchi , Akio K. Inoue , Tohru Nagao , Yoshiki Toba , Toru Misawa

James Webb Space Telescope (JWST) has revealed a population of red and compact sources at $z \gtrsim 5$ known as ``Little Red Dots'' (LRDs) that are likely active galactic nuclei (AGNs). Here we present a comprehensive study of the…

Astrophysics of Galaxies · Physics 2025-04-18 Zijian Zhang , Linhua Jiang , Weiyang Liu , Luis C. Ho

Using high-resolution HST/Wide Field Camera 3 F125W imaging from the CANDELS-COSMOS field, we report the the structural and morphological properties of Extremely Red Objects (EROs) at $z\sim1$. Based on the UVJ color criteria, we separate…

Astrophysics of Galaxies · Physics 2015-06-03 Guan-Wen Fang , Zhong-Yang Ma , Yang Chen , Xu Kong

Generative adversarial networks (GANs) are one of the most robust and versatile techniques in the field of generative artificial intelligence. In this work, we report on an application of GANs in the domain of synthetic spectral data…

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