Results 61 to 70 of about 2,329 (164)
Multi-Source Localization Using Time of Arrival Self-Clustering Method in Wireless Sensor Networks
IEEE Access, 2019 The localization of multiple signal sources based on Time Of Arrival (TOA) measurements in wireless sensor networks is investigated in this paper. When the signal sources cannot be distinguished by their signatures or other unique characteristics, the ...
Xinwei Guo +3 more
doaj +1 more source
Explaining the Equatorial Pacific Thermocline Response to Climate Change With a Model Hierarchy
Journal of Geophysical Research: Oceans, Volume 131, Issue 7, July 2026.Abstract Most studies of the equatorial Pacific response to anthropogenic forcing have focused on patterns of sea surface temperature (SST) change. However, similar SST patterns can be consistent with a range of different subsurface responses, each with differing physical and biogeochemical implications.
Matthew T. Luongo +4 more
wiley +1 more source
Joint DOA and TOA estimation method based on Pareto multi-task learning
上海师范大学学报. 自然科学版A joint estimation method for direction of arrival （DOA） and time of arrival （TOA） was proposed based on Pareto multi-task learning， which transformed the traditional multi-task learning problem into a multi-objective optimization problem for solution. A
CHEN Erqi, WEI Shuang
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Alienation as a Social Pathology: Evaluating Jaeggi's Concept of Alienation
Journal of Social Philosophy, EarlyView.
Wouter Wiersma
wiley +1 more source
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 7, July 2026.Abstract Low clouds (LC) are the largest source of uncertainty in the climate response to increased CO2 ${\text{CO}}_{2}$ in global climate models. This is due to the multitude of factors that affect their behavior and how these are characterized across models.
Danny McCulloch +3 more
wiley +1 more source
Cramer-Rao bounds in the estimation of time of arrival in fading channels
EURASIP Journal on Advances in Signal Processing, 2018 This paper computes the Cramer-Rao bounds for the time of arrival estimation in a multipath Rice and Rayleigh fading scenario, conditioned to the previous estimation of a set of propagation channels, since these channel estimates (correlation between ...
René Játiva, Josep Vidal
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Acta Crystallographica Section D, Volume 82, Issue 7, Page 751-760, July 2026.Monte Carlo simulations of neutron protein diffraction experiments provide useful data that models neutrons interacting with instrument components, as well as the crystal diffraction itself. These data can be applied to instrument development, such as the commissioning of the NMX Macromolecular Diffractometer at ESS.Monte Carlo neutron ray‐tracing ...
Mads Bertelsen +7 more
wiley +1 more source
IEEE Open Journal of Signal ProcessingIn this article, we consider using time-of-arrival (TOA) measurements from a single moving receiver to locate a moving target at constant velocity that emits a periodic signal with unknown signal period.
Yanbin Zou, Jingna Fan, Zekai Zhang
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Maximum likelihood localization: When does it fail?
ICT Express, 2016 Maximum likelihood is a criterion often used to derive localization algorithms. In particular, in this paper we focus on a distance-based algorithm for the localization of nodes in static wireless networks. Assuming that Ultra Wide Band (UWB) signals are
Stefania Monica, Gianluigi Ferrari
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Retrieving Hourly Aerosol Absorption From Space Using Physical Informed Deep Learning
Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.Abstract Retrieving aerosol absorption properties, such as single scattering albedo (SSA) and absorption aerosol optical depth (AAOD) from single‐view satellite observations remains a significant challenge. This study introduces the Physics‐Informed Neural Network for Aerosols (PINA) framework to retrieve hourly aerosol absorption properties from ...
Tao Xia +3 more
wiley +1 more source