Results 41 to 50 of about 19,397 (216)
Advanced 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
Cdma blind channel equalization: a weighted subsface a proach [PDF]
, 1999 This paper considers the problem of blind demodulation of multiuser information symbols in a direct-sequence code-division multiple access (DS-CDMA) environment. Channel estimation and symbol detection in the presence of both multiple access interference
Cabrera-Bean, Margarita +1 more
core +1 more source
Neural Network–Assisted Metasurface Retroreflector With Wide‐Angle Adaptivity
Electron, 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
Adaptive Based Beamforming for Direction-of- Arrival (DOA) Estimation
CVR Journal of Science & Technology, 2015 Nowadays mobile users require increased coverage, quality of service and capacity in wireless communications. By using adaptive antennas at both transmitter and receiver in wireless communication, we can easily reach the required improvement. In this paper Adaptive Antenna plays a major role to improve the performance of wireless communication systems.
openaire +2 more sources
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, 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
IEEE Access, 2019 This paper discusses the direction-of-arrival (DOA) estimation problem in multiple-input multiple-output (MIMO) radar with non-orthogonal waveforms.
Chong Shen +4 more
doaj +1 more source
Wildlife Biology, EarlyView.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
Bayesian CRLB for hybrid ToA and DoA based wireless localization with anchor uncertainty [PDF]
, 2015 In this paper, we derive the Bayesian Cramér-Rao lower bound for three dimensional hybrid localization using time-of-arrival (ToA) and direction-of-arrival (DoA) types of measurements.
Abreu, Guiseppe +2 more
core
Compressive Sensing for MIMO Radar
, 2009 Multiple-input multiple-output (MIMO) radar systems have been shown to achieve superior resolution as compared to traditional radar systems with the same number of transmit and receive antennas.
Petropulu, Athina P. +2 more
core +1 more source
Statistically Efficient Methods for Pitch and DOA Estimation [PDF]
, 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