3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Lawrence Berkeley National LaboratoryUS199 papers
- Centre National de la Recherche ScientifiqueFR190 papers
- Royal Military College of CanadaCA179 papers
- University of AlbertaCA166 papers
- University of OxfordGB151 papers
- University of California, BerkeleyUS142 papers
- Massachusetts Institute of TechnologyUS134 papers
- Technical University of MunichDE128 papers
- University of TorontoCA127 papers
- Laurentian UniversityCA114 papers
- South Dakota School of Mines and TechnologyUS110 papers
- TRIUMFCA107 papers
94 papers · 1 filter
Traffic-Aware Cost-Optimized Fronthaul Planning for Ultra-Dense Networks
Anas S. Mohammed, Hussein A. Ammar, Krishnendu S. Tharakan +2
The cost and limited capacity of fronthaul links pose significant challenges for the deployment of ultra-dense networks (UDNs), specifically for cell-free massive MIMO systems. Hen…
Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
Andrew H. Zhang, Alex He-Mo, Richard Fei Yin +9
Study Objectives: We investigate a Mamba-based deep learning approach for sleep staging on signals from ANNE One (Sibel Health, Evanston, IL), a non-intrusive dual-module wireless…
Supernova Detection at SNOLAB
Erica Caden, Stephen Sekula, Stanley Yen
Neutrinos carry most of the energy released by a core-collapse supernova. SNOLAB has two neutrino-capable detectors, SNO+ and HALO, that have complementary neutrino flavour sensiti…
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Behzad Shayegh, Hobie H. -B. Lee, Xiaodan Zhu +2
We address unsupervised dependency parsing by building an ensemble of diverse existing models through post hoc aggregation of their output dependency parse structures. We observe t…
Online training and pruning of multi-wavelength photonic neural networks
Jiawei Zhang, Weipeng Zhang, Tengji Xu +5
CMOS-compatible photonic integrated circuits (PICs) are emerging as a promising platform in artificial intelligence (AI) computing. Owing to the compact footprint of microring reso…
The JCMT BISTRO Survey: The magnetised evolution of star-forming cores in the Ophiuchus Molecular Cloud interpreted using Histograms of Relative Orientation
James P. Perry, Kate Pattle, Doug Johnstone +17
The relationship between B-field orientation and density structure in molecular clouds is often assessed using the Histogram of Relative Orientations (HRO). We perform a plane-of-t…
MIGHTEE-HI: The star-forming properties of HI selected galaxies
Madalina N. Tudorache, M. J. Jarvis, A. A. Ponomareva +9
The interplay between atomic gas, the star-formation history of a galaxy and its environment are intrinsically linked, and we need to decouple these dependencies to understand thei…
Searching for HI around MHONGOOSE Galaxies via Spectral Stacking
S. Veronese, W. J. G. de Blok, J. Healy +19
The observed star formation rates of galaxies in the Local Universe suggests that they are replenishing their gas reservoir across cosmic time. Cosmological simulations predict tha…
WALLABY Pilot Survey: Gas-Rich Galaxy Scaling Relations from Marginally-Resolved Kinematic Models
N. Deg, N. Arora, K. Spekkens +21
We present the first set of galaxy scaling relations derived from kinematic models of the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) pilot phase observations. Com…
Enhancing Software Maintenance: A Learning to Rank Approach for Co-changed Method Identification
Yiping Jia, Safwat Hassan, Ying Zou
With the increasing complexity of large-scale software systems, identifying all necessary modifications for a specific change is challenging. Co-changed methods, which are methods…
Seeking the nearest neutron stars using a new local electron density map
Joseph Bramante, Katherine Mack, Nirmal Raj +2
Neutron stars provide a compelling testing ground for gravity, nuclear dynamics, and physics beyond the Standard Model, and so it will be useful to locate the neutron stars nearest…
Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*)
Tyler S. Wilson, Wil Thomason, Zachary Kingston +2
Improving the performance of motion planning algorithms for high-degree-of-freedom robots usually requires reducing the cost or frequency of computationally expensive operations. T…
The Gravitational Wave Bias Parameter from Angular Power Spectra: Bridging Between Galaxies and Binary Black Holes
Amir Dehghani, J. Leo Kim, Dorsa Sadat Hosseini +3
This study presents the modeling of the gravitational wave (GW) bias parameter by bridging a connection between simulated GW sources and galaxies in low redshift galaxy surveys 2MP…
Electronic states bound by repulsive potentials in graphene irradiated by a circularly polarized electromagnetic field
O. V. Kibis, M. V. Boev, I. V. Iorsh +1
In the framework of the Floquet theory of periodically driven quantum systems, it is demonstrated that irradiation of graphene by a circularly polarized electromagnetic field induc…
50 questions on Active Assisted Living technologies. Global edition
Francisco Florez-Revuelta, Alin Ake-Kob, Pau Climent-Perez +23
This booklet on Active Assisted Living (AAL) technologies has been created as part of the GoodBrother COST Action, which has run from 2020 to 2024. COST Actions are European resear…
AI-Powered Low-Order Focal Plane Wavefront Sensing in Infrared
Mojtaba Taheri, Mahdiyar Molahasani, Sam Ragland +2
Adaptive optics (AO) systems are crucial for high-resolution astronomical observations by compensating for atmospheric turbulence. While laser guide stars (LGS) address high-order…
Dark Matter Candidates and Searches
Nassim Bozorgnia, Joseph Bramante, James M. Cline +7
Astrophysical observations suggest that most of the matter in the cosmos consists of a new form that has not been observed on Earth. The nature and origin of this mysterious dark m…
Simmering: Sufficient is better than optimal for training neural networks
Irina Babayan, Hazhir Aliahmadi, Greg van Anders
The broad range of neural network training techniques that invoke optimization but rely on ad hoc modification for validity suggests that optimization-based training is misguided.…
A hyperbolic free-by-cyclic group determined by its finite quotients
Naomi Andrew, Paige Hillen, Robert Alonzo Lyman +1
We show that the group is profinitely rigid amongst free-by-cyclic groups, providing the first example of a hyperbolic free-by-c…
The ionization yield in a methane-filled spherical proportional counter
M. M. Arora, L. Balogh, C. Beaufort +40
Spherical proportional counters (SPCs) are gaseous particle detectors sensitive to single ionization electrons in their target media, with large detector volumes and low background…
Measurements of the Quantum Yield of Silicon using Geiger-mode Avalanching Photodetectors
Harry Lewis, Mahsa Mahtab, Fabrice Retiere +7
Accurate characterization of quantum yield is crucial to the reconstruction of energy depositions in silicon at the eV scale. This work presents a new method for experimentally cal…
Software Engineering and Foundation Models: Insights from Industry Blogs Using a Jury of Foundation Models
Hao Li, Cor-Paul Bezemer, Ahmed E. Hassan
Foundation models (FMs) such as large language models (LLMs) have significantly impacted many fields, including software engineering (SE). The interaction between SE and FMs has le…
Low-threshold response of a scintillating xenon bubble chamber to nuclear and electronic recoils
E. Alfonso-Pita, E. Behnke, M. Bressler +29
A device filled with pure xenon first demonstrated the ability to operate simultaneously as a bubble chamber and scintillation detector in 2017. Initial results from data taken at…
CHANG-ES XXXIV: a 20 kpc radio bubble in the halo of the star-forming galaxy NGC 4217
V. Heesen, T. Wiegert, J. Irwin +11
Cosmic rays may be dynamically very important in driving large-scale galactic winds. Edge-on galaxies give us an outsider's view of the radio halo, which shows the presence of extr…