skip to main content

Attention:

The NSF Public Access Repository (NSF-PAR) system and access will be unavailable from 11:00 PM ET on Thursday, October 10 until 2:00 AM ET on Friday, October 11 due to maintenance. We apologize for the inconvenience.


This content will become publicly available on March 1, 2025

Title: Cellphone picture-based, genus-level automated identification of Chagas disease vectors: Effects of picture orientation on the performance of five machine-learning algorithms
Award ID(s):
1920946
NSF-PAR ID:
10499058
Author(s) / Creator(s):
; ; ; ; ; ; ;
Publisher / Repository:
Elsevier B.V.
Date Published:
Journal Name:
Ecological Informatics
Volume:
79
Issue:
C
ISSN:
1574-9541
Page Range / eLocation ID:
102430
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ABSTRACT

    We present counts-level fits to the multi-instrument (keV–GeV) data of the early afterglow (4 ks, 22 ks) of the brightest gamma-ray burst detected to date, GRB 221009A. The complexity of the data reduction, due to the unprecedented brightness and the location in the Galactic plane, is critically addressed. The energy spectrum is found to be well described by a smoothly broken power law with a break energy at a few keV. Three interpretations (slow/fast cooling or the transition between these) within the framework of forward shock synchrotron emission, from accelerated and subsequently cooled electrons, are found. The physical implications for each of these scenarios are discussed.

     
    more » « less
  2. null (Ed.)
  3. We estimate the reach of global Higgs analyses at a 27 TeV hadroncollider in terms of Higgs couplings and in terms of a gauge-invarianteffective Lagrangian, including invisible Higgs decays and the Higgsself-coupling. The new collider will indirectly probe new physics in theTeV range and allow for a meaningful test of the Higgs self-couplingalso embedded in a global analysis. 
    more » « less