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Segmentation of brain magnetic resonance images (MRI) is crucial for the analysis of the human brain and diagnosis of various brain disorders. The drawbacks of time-consuming and error-prone manual delineation procedures are aimed to be…

Computer Vision and Pattern Recognition · Computer Science 2022-05-20 Can Taylan Sari , Sila Kurugol , Onur Afacan , Simon K. Warfield

New computing paradigms are required to solve the most challenging computational problems where no exact polynomial time solution exists.Probabilistic Ising Accelerators has gained promise on these problems with the ability to model complex…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-17 Saavan Patel , Philip Canoza , Adhiraj Datar , Steven Lu , Chirag Garg , Sayeef Salahuddin

The Calibration enhancement effort for the Space Telescope Imaging Spectrograph (STIS) aims to improve data calibration via the application of physical modelling techniques. We describe here a model of the Charge Transfer process during…

Astrophysics · Physics 2007-05-23 P. Bristow , A. Alexov

Different types of spectroscopies, such as X-ray absorption near edge structure (XANES) and Raman spectroscopy, play a very important role in analyzing the characteristics of different materials. In scientific literature, XANES/Raman data…

Computer Vision and Pattern Recognition · Computer Science 2021-07-08 Weixin Jiang , Eric Schwenker , Trevor Spreadbury , Kai Li , Maria K. Y. Chan , Oliver Cossairt

In this paper, simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surface (RIS) is investigated in the multi-user mobile edge computing (MEC) system to improve the computation rate. Compared with traditional…

Information Theory · Computer Science 2023-05-02 Zhenrong Liu , Zongze Li , Miaowen Wen , Yi Gong , Yik-Chung Wu

The Five-hundred-meter Aperture Spherical radio Telescope (FAST) has started the Commensal Radio Astronomy FasT Survey (CRAFTS). In this paper, we use the technical parameters of FAST derived from commissioning observations to simulate the…

We present the CFHTLS-Archive-Research Survey (CARS). It is a virtual multi-colour survey based on public archive images from the CFHT-Legacy-Survey. Our main scientific interests in CARS are optical searches for galaxy clusters from low to…

Laser scanning (also known as Light Detection And Ranging) has been widely applied in various application. As part of that, aerial laser scanning (ALS) has been used to collect topographic data points for a large area, which triggers to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-04-13 V-H Cao , K-X Chu , Nhien-An Le-Khac , M-T Kechadi , Debra F. Laefer , Linh Truong-Hong

We introduce ARES, an efficient approximation algorithm for generating optimal plans (action sequences) that take an initial state of a Markov Decision Process (MDP) to a state whose cost is below a specified (convergence) threshold. ARES…

Artificial Intelligence · Computer Science 2016-12-23 Anna Lukina , Lukas Esterle , Christian Hirsch , Ezio Bartocci , Junxing Yang , Ashish Tiwari , Scott A. Smolka , Radu Grosu

The Asteroid Terrestrial-impact Last Alert System (ATLAS) is an all-sky optical sky survey with a cadence of 24 to 48 hours and the ATLAS Transient Server processes the alert stream to enable the discovery and follow-up of extra-galactic…

Instrumentation and Methods for Astrophysics · Physics 2025-06-10 Heloise F. Stevance , Jack Leland , Ken W. Smith

Aims: Integral Field Spectroscopy (IFS) is a powerful approach for the study of nearby galaxies since it enables a detailed analysis of their resolved physical properties. Here we present the sample of nearby galaxies selected to exploit…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 E. Marmol-Queralto , S. F. Sanchez , R. A. Marino , D. Mast , K. Viironen , A. Gil de Paz , J. Iglesias-Paramo , F. F. Rosales-Ortega , J. M. Vilchez

The rapid development of generative AI has made AI-generated images increasingly realistic and high-resolution. Most AI-generated image detection architectures typically downsample images before inputting them into models, risking the loss…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Lawrence Han

This paper describes a new Heterodyne Array Receiver Programme (HARP) and Auto-Correlation Spectral Imaging System (ACSIS) that have recently been installed and commissioned on the James Clerk Maxwell Telescope (JCMT). The 16-element…

This paper describes about information extraction system, which is an extension of the system developed by team Hitachi for "Disease/Disorder Template filling" task organized by ShARe/CLEF eHealth Evolution Lab 2014. In this extension…

Artificial Intelligence · Computer Science 2016-02-02 Sarath P R , Sunil Mandhan , Yoshiki Niwa

The improvements in spectral and spatial resolution of the satellite images have facilitated the automatic extraction and identification of the features from satellite images and aerial photographs. An automatic object extraction method is…

Computer Vision and Pattern Recognition · Computer Science 2014-05-26 S. K. Katiyar , P. V. Arun

Technology has advanced to the point that it is possible to image the entire sky every night and process the data in real time. The sky is hardly static: many interesting phenomena occur, including variable stationary objects such as stars…

Instrumentation and Methods for Astrophysics · Physics 2018-05-23 J. L. Tonry , L. Denneau , A. N. Heinze , B. Stalder , K. W. Smith , S. J. Smartt , C. W. Stubbs , H. J. Weiland , A. Rest

A key tool in the package of software available for the analysis of data from the SPI spectrometer of Integral is the SPIROS system developed at the University of Birmingham. Although intended primarily for the analysis of point sources and…

Astrophysics · Physics 2009-11-10 G. K. Skinner , P. H. Connell

A Data Access Statement (DAS) is a formal declaration detailing how and where the underlying research data associated with a publication can be accessed. It promotes transparency, reproducibility, and compliance with funder and publisher…

Digital Libraries · Computer Science 2025-12-02 David Pride , Matteo Cancellieri , Petr Knoth

Segmenting medical images is critical to facilitating both patient diagnoses and quantitative research. A major limiting factor is the lack of labeled data, as obtaining expert annotations for each new set of imaging data and task can be…

Computer Vision and Pattern Recognition · Computer Science 2024-06-27 Chen Liu , Matthew Amodio , Liangbo L. Shen , Feng Gao , Arman Avesta , Sanjay Aneja , Jay C. Wang , Lucian V. Del Priore , Smita Krishnaswamy

Processing of raw data from modern astronomical instruments is nowadays often carried out using dedicated software, so-called "pipelines" which are largely run in automated operation. In this paper we describe the data reduction pipeline of…