Results 81 to 90 of about 138,574,001 (211)

Traffic incident clearance time and arrival time prediction\ud based on hazard models [PDF]

open access: yes, 2014
Accurate prediction of incident duration is not only important information of Traffic Incident Management System, but also an ffective input for travel time prediction.
Qu, Ming   +3 more
core   +2 more sources

Multi-Source Localization Using Time of Arrival Self-Clustering Method in Wireless Sensor Networks

open access: yesIEEE 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

Targeting Human Immunodeficiency Virus Integrase Beyond the Active Site: The Discovery and Development of Allosteric Integrase Inhibitors

open access: yesChemMedChem, Volume 21, Issue 16, 27 August 2026.
Human immunodeficiency virus (HIV) allosteric integrase inhibitors (ALLINIs) offer a vital alternative to standard therapies by targeting noncatalytic sites. By inducing aberrant integrase multimerization, they disrupt viral maturation. This review explores their medicinal chemistry evolution, detailing structural insights, structure–activity ...
Francesco Saccoliti   +10 more
wiley   +1 more source

An analysis of the error characteristics of two time of arrival localization techniques

open access: yes, 2010
Accurate local positioning systems usually use a network of anchor nodes at known locations to track mobile nodes based on the measurement of the time of arrival (TOA) at anchor nodes of beacon signals transmitted by the mobile nodes.
T Sathyan   +5 more
core   +1 more source

Joint DOA and TOA estimation method based on Pareto multi-task learning

open access: yes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
doaj   +1 more source

A GEO‐LEO Imager Data Set for Characterizing Rapid Changes of Global Aerosol Properties

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 15, 16 August 2026.
Abstract Aerosols, the ubiquitous small particulates in our atmosphere, have climate, air quality, and/or other impacts far from their original sources. The Dark Target Algorithm (DTA), originally developed for retrieving aerosol properties from satellite imagers in Low‐Earth Orbit (LEO), has been ported to imagers in Geostationary (GEO) orbit. Using a
R. C. Levy   +12 more
wiley   +1 more source

Indoor distance estimation by using time of arrival

open access: yes, 2018
Nowadays, researches about indoor positioning is very popular. Estimating location of a communication node can be used in navigation in a shopping mall or tracking in a work place, etc.
Aktas, Erdenay   +3 more
core   +1 more source

Cramer-Rao bounds in the estimation of time of arrival in fading channels

open access: yesEURASIP 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
doaj   +1 more source

Moving Target At Constant Velocity Localization Using TOA Measurements From Single Moving Receiver With Unknown Signal Period

open access: yesIEEE Open Journal of Signal Processing
In 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
doaj   +1 more source

Maximum likelihood localization: When does it fail?

open access: yesICT 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
doaj   +1 more source

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