Results 101 to 110 of about 202,761 (319)
Frontiers in Behavioral Neuroscience, 2018 Bats emit biosonar pulses in complex temporal patterns that change to accommodate dynamic surroundings. Efforts to quantify these patterns have included analyses of inter-pulse intervals, sonar sound groups, and changes in individual signal parameters ...
Alyssa W. Accomando +3 more
doaj +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent Systems, EarlyView.This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
IEEE AccessThis paper develops a novel stochastic geometry model to investigate design tradeoffs in a large-scale radar-aided millimeter-wave cellular network to eliminate the beam training overhead.
Yasser Nabil +4 more
doaj +1 more source
A Risk-Informed Interference Assessment of MetSat/LTE Coexistence
IEEE Access, 2017 Quantitative risk assessment has recently been proposed to assess the impact of a new radio service allocation on incumbents. This paper demonstrates its viability by performing a risk-informed interference assessment in a recent U.S.
Jean Pierre De Vries +2 more
doaj +1 more source
Von Neumann-Morgenstern Clutters [PDF]
A clutter on a set X is a simple hypergraph with pairwise not-comparable hyperedges, hence in particular any set of Von Neumann-Morgenstern (VNM) -stable sets of an irreflexive simple digraph is a clutter.
Stefano Vannucci
core
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Advanced Intelligent Systems, EarlyView.Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Advances in Applied Mathematics, 1997 A family of circuits is associated with an arbitrary clutter. Several characterizations of matroid parts using their circuits are presented.
openaire +1 more source
Italian National Conference on Sensors, 2018 Target detection is one of the important applications in the field of remote sensing. The Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) satellite launched by China is a powerful tool for maritime monitoring. This work aims at detecting ships in GF-3 SAR
Quanzhi An, Zongxu Pan, H. You
semanticscholar +1 more source
MIMO Radar Target Localization and Performance Evaluation under SIRP Clutter
, 2016 Multiple-input multiple-output (MIMO) radar has become a thriving subject of research during the past decades. In the MIMO radar context, it is sometimes more accurate to model the radar clutter as a non-Gaussian process, more specifically, by using the ...
Korso, Mohammed Nabil El +2 more
core
Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source