Results 121 to 130 of about 18,064 (298)
Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements
IET Radar, Sonar & NavigationAirborne warning and control systems (AWACS) serve as critical command and control centres in air combat operations, making them prime targets for strategic attacks.
Bo Wang +4 more
doaj +1 more source
Coexistence and Interference of Radar Sensors
Abstract Due to the widespread use of radar sensors in the millimeter wave range, multiple sensors are often used in close proximity or in the same application scenario. This can lead to interference between the sensors. In road traffic in particular, many vehicles are nowadays equipped with one or more radar sensors, so that in dense traffic
Christian Waldschmidt +2 more
openaire +1 more source
Temporal and Spatial Interference Mitigation Strategies to Improve Radar Data Quality [PDF]
, 2019 The microwave band is well suited to wireless applications, including radar, communications, and electronic warfare. While radar operations currently have priority in a portion of the microwave band, wireless companies are lobbying to change that; such a
Lake, John
core
Advanced Science, EarlyView.Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays
Advanced Science, EarlyView.A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo +5 more
wiley +1 more source
With the development of autonomous driving technology, automotive radar has received unprecedented attention due to its day-and-night and all-weather working capability.
Zhang, W, Li, Y, Ji, L
core +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
Advanced Science, EarlyView.CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Advanced Science, EarlyView.An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
Hepatology, EarlyView., 2022 Increased liver content of DHA‐derived small lipid autacoids (i.e resolvin D1 and maresin 1) associates with enhanced mitochondrial oxidative phosphorylation, fatty acid β‐oxidation and bioenergetic metabolic flux. These features provide hepatic protection from steatotic, pro‐inflammatory and fibrogenic insults.
Cristina López‐Vicario +12 more
wiley +1 more source
Enhanced monopulse radar tracking using empirical mode decomposition
, 2010 Monopulse radar processors are used to track targets that appear in the look direction beamwidth. The target tracking information (range, azimuth angle, and elevation angle) are affected when manmade high power interference (jamming) is introduced to the
Elgamel, Sherif A.E.H., Soraghan, J.J.
core