Results 61 to 70 of about 13,013 (218)
Rigid Hollow Microparticles for Enhanced Focused Ultrasound Treatment Under Optoacoustic Guidance
By combining focused ultrasound (FUS) and acoustically active hollow borosilicate microparticles (HBMPs), we demonstrate tunable control over interparticle dynamics and their localized thermal energy deposition. Modulation of acoustic frequency and particle concentration tailors the energy delivery, allowing adaptive, material‐based regulation of ...
Nima Mahkam +6 more
wiley +1 more source
An APG-MUSIC Algorithm Based-on Optimized Sampling Array
This paper proposes a novel two-dimensional direction of arrival (2D-DOA) estimation with optimized sparse sampling array, which is combined with Accelerated Proximal Gradient singular value thresholding(APG) and Multiple Signal Classification(MUSIC ...
Li Mengxia +3 more
doaj +1 more source
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
Multiple Parameter Estimation With Quantized Channel Output
We present a general problem formulation for optimal parameter estimation based on quantized observations, with application to antenna array communication and processing (channel estimation, time-of-arrival (TOA) and direction-of-arrival (DOA) estimation)
Antreich, Felix +2 more
core +1 more source
Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks [PDF]
Knowledge about the location of licensed primary-users (PU) could enable several key features in cognitive radio (CR) networks including improved spatio-temporal sensing, intelligent location-aware routing, as well as aiding spectrum policy enforcement ...
Cabric, Danijela +2 more
core +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
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
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
In the paper, the estimation of joint direction-of-departure (DOD) and direction-of-arrival (DOA) for strictly noncircular targets in multiple-input multiple-output (MIMO) radar with unknown mutual coupling is considered, and a tensor-based angle ...
Yuehao Guo +6 more
doaj +1 more source
Transmit Array Interpolation for DOA Estimation via Tensor Decomposition in 2D MIMO Radar
In this paper, we propose a two-dimensional (2D) joint transmit array interpolation and beamspace design for planar array mono-static multiple-input-multiple-output (MIMO) radar for direction-of-arrival (DOA) estimation via tensor modeling.
Cao, Ming-Yang +2 more
core +1 more source
AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning
ABSTRACT Audio‐visual speaker tracking aims to determine the locations of multiple speakers in the scene by leveraging signals captured from multisensor platforms. Multimodal fusion methods can improve both the accuracy and robustness of speaker tracking.
Yihan Li +5 more
wiley +1 more source

