Results 51 to 60 of about 31,048 (205)
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
Compressive Sensing for MIMO Radar
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
The power of many: when genetics met yeasts and high‐throughput
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
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
Optimization of array geometry for direction-of-arrival estimation using a priori information [PDF]
This paper focuses on the estimation of the direction-of-arrival (DOA) of signals impinging on a sensor array. A novel method of array geometry optimization is presented that improves the DOA estimation performance compared to the standard uniform linear
O. Lange, B. Yang
doaj +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
Double-Layer Compressive Sensing Based Efficient DOA Estimation in WSAN with Block Data Loss
Accurate information acquisition is of vital importance for wireless sensor array network (WSAN) direction of arrival (DOA) estimation. However, due to the lossy nature of low-power wireless links, data loss, especially block data loss induced by ...
Peng Sun +4 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
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
We investigated neuropathological manifestations of hypothermia in 168 cases. Patients aged 65 years or more constituted 80% of the total cohort. Alzheimer's disease was the most common comorbidity, affecting 40% of all patients. Abstract There is a paucity of autopsy‐based studies providing detailed neuropathological characteristics of fatal ...
Shojiro Ichimata +2 more
wiley +1 more source

