Results 51 to 60 of about 31,332 (207)

A Joint Audio-Visual Approach to Audio Localization [PDF]

open access: yes, 2015
Localization of audio sources is an important research problem, e.g.,to facilitate noise reduction. In the recent years, the problem hasbeen tackled using distributed microphone arrays (DMA).
Christensen, Mads Græsbøll   +1 more
core   +2 more sources

Target DoA estimation in passive radar using non-uniform linear arrays and multiple frequency channels [PDF]

open access: yes, 2018
In this paper we present a robust approach for target direction of arrival (DoA) estimation in passive radar that jointly exploits spatial and frequency diversity. Specifically we refer to a DVB-T based passive radar receiver equipped with a linear array
Cardinali, Roberta   +3 more
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Large Direction-of-Arrival Mismatch Correction for Adaptive Beamforming

open access: yesIEEE Access, 2022
Direction-of-arrival (DOA) mismatch can degrade the performance of adaptive beamforming algorithms. Thus, a projection method is proposed to correct this mismatch.
Lin Chang   +4 more
doaj   +1 more source

Multipath Separation-Direction of Arrival (MS-DOA) with Genetic Search Algorithm for HF channels [PDF]

open access: yes, 2009
Cataloged from PDF version of article.Direction-of-Arrival (DOA) defines the estimation of arrival angles of an electromagnetic wave impinging on a set of sensors. For dispersive and time-varying HF channels, where the propagating wave also suffers from
Arikan, F.   +4 more
core   +1 more source

The power of many: when genetics met yeasts and high‐throughput

open access: yesBiological Reviews, EarlyView.
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley   +1 more source

Neural Network–Assisted Metasurface Retroreflector With Wide‐Angle Adaptivity

open access: yesElectron, EarlyView.
This work proposes a wide‐angle, multi‐polarization, self‐sensing, and self‐adaptive intelligent metasurface retroreflector, with a planar profile and ultrathin thickness. By integrating a pre‐trained artificial neural network (ANN), the metasurface retroreflector can recognize the incident angle and promptly adapt to changes in the incoming wave.
Jing Ning   +7 more
wiley   +1 more source

Gridless Two-dimensional DOA Estimation With L-shaped Array Based on the Cross-covariance Matrix

open access: yes, 2017
The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution.
Wu, Xiaohuan, Yan, Jun, Zhu, Wei-Ping
core   +1 more source

Statistically Efficient Methods for Pitch and DOA Estimation [PDF]

open access: yes, 2013
Traditionally, direction-of-arrival (DOA) and pitch estimation of multichannel, periodic sources have been considered as two separate problems. Separate estimation may render the task of resolving sources with similar DOA or pitch impossible, and it may ...
Christensen, Mads Græsbøll   +2 more
core   +2 more sources

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

open access: yesIbrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

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