Results 31 to 40 of about 192,375 (290)
Sparse distributed localized gradient fused features of objects [PDF]
Pattern Recognition, Available online 31 October 2014, 2014 The sparse, hierarchical, and modular processing of natural signals is related to the ability of humans to recognize objects with high accuracy. In this study, we report a sparse feature processing and encoding method, which improved the recognition performance of an automated object recognition system.
arxiv +1 more source
Making tau amyloid models in vitro: a crucial and underestimated challenge
FEBS Letters, EarlyView.This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose The aim of this work was to evaluate the SunCHECK PerFRACTION, the software for in vivo monitoring using EPID images. Materials/Methods First, the PerFRACTION ability to detect errors was investigated simulating two situations: (1) variation of LINAC output and (2) variation of the phantom thickness.
Samuel Ramalho Avelino +3 more
wiley +1 more source
VADER: Probing the Dark Side of Dimorphos with LICIACube LUKE
The Planetary Science JournalThe ASI cubesat LICIACube has been part of the first planetary defense mission DART, having among its scopes to complement the DRACO images to better constrain the Dimorphos shape. LICIACube had two different cameras, LEIA and LUKE, and to accomplish its
Angelo Zinzi +42 more
doaj +1 more source
The Second International Asteroid Warning Network Timing Campaign: 2005 LW3
The Planetary Science Journal, 2023 The Earth close approach of near-Earth asteroid 2005 LW3 on 2022 November 23 represented a good opportunity for a second observing campaign to test the timing accuracy of astrometric observation. With 82 participating stations, the International Asteroid
Davide Farnocchia +92 more
doaj +1 more source
SizeNet: Object Recognition via Object Real Size-based Convolutional Networks [PDF]
arXiv, 2021 Inspired by the conclusion that humans choose the visual cortex regions corresponding to the real size of an object to analyze its features when identifying objects in the real world, this paper presents a framework, SizeNet, which is based on both the real sizes and features of objects to solve object recognition problems.
arxiv
The Saccharomyces cerevisiae amino acid transporter Lyp1 has a broad substrate spectrum
FEBS Letters, EarlyView.In Saccharomyces cerevisiae, Yeast Amino acid Transporter family members mediate the import of amino acids, ranging from substrate specialists to generalists. Here, we show that the specialist transporter, Lyp1, has a broader substrate spectrum than previously described, with affinity constants spanning from micromolar to millimolar.
Foteini Karapanagioti +3 more
wiley +1 more source
The Sensitivity of NEO Surveyor to Low-perihelion Asteroids
The Planetary Science JournalAsteroids with low orbital perihelion distances experience extreme heating from the Sun that can modify their surfaces and trigger nontypical activity mechanisms.
Joseph R. Masiero +4 more
doaj +1 more source
(523599) 2003 RM: The Asteroid that Wanted to be a Comet
The Planetary Science Journal, 2023 We report a statistically significant detection of nongravitational acceleration on the subkilometer near-Earth asteroid (523599) 2003 RM. Due to its orbit, 2003 RM experiences favorable observing apparitions every 5 yr.
Davide Farnocchia +13 more
doaj +1 more source
CACTUS: Detecting and Resolving Conflicts in Objective Functions [PDF]
arXiv, 2021 Machine learning (ML) models are constructed by expert ML practitioners using various coding languages, in which they tune and select models hyperparameters and learning algorithms for a given problem domain. They also carefully design an objective function or loss function (often with multiple objectives) that captures the desired output for a given ...
arxiv