Dmitriy Shutin
Orcid: 0000-0002-6065-6453
According to our database1,
Dmitriy Shutin
authored at least 74 papers
between 2004 and 2024.
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Bibliography
2024
Joint Distributed Traveltime and Full Waveform Tomography for Enhanced Subsurface Imaging in Seismic Networks.
IEEE Trans. Computational Imaging, 2024
An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation.
CoRR, 2024
Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring.
CoRR, 2024
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024
Experimental Study of Gas Propagation: Parameter Identification and Analysis in a Wind Tunnel.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Multi-Agent 3D Seismic Exploration Using Adapt-then-Combine Full Waveform Inversion in a hardware-in-the-loop System.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Exploration and Gas Source Localization in Advection-Diffusion Processes with Potential-Field-Controlled Robotic Swarms.
Sensors, November, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023
2022
Near-Surface Seismic Measurements in Gravel Pit, over Highway Tunnel and Underground Tubes with Ground Truth Information as an Open Data Set.
Sensors, 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning.
Entropy, 2022
Potential Field Based Swarm Exploration of Processes Governed by Partial Differential Equations.
Proceedings of the ROBOT 2022: Fifth Iberian Robotics Conference, 2022
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022
2021
Long Coherent Integration in Passive Radar Systems Using Super-Resolution Sparse Bayesian Learning.
IEEE Trans. Aerosp. Electron. Syst., 2021
Variational Bayesian Learning for Decentralized Blind Deconvolution of Seismic Signals Over Sensor Networks.
IEEE Access, 2021
ADAPT-Then-Combine Full Waveform Inversion for Distributed Subsurface Imaging In Seismic Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Geometric Analysis of the Doppler Frequency for General Non-Stationary 3D Mobile-to-Mobile Channels Based on Prolate Spheroidal Coordinates.
IEEE Trans. Veh. Technol., 2020
Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization.
IEEE Signal Process. Lett., 2020
An Integrated Strategy for Autonomous Exploration of Spatial Processes in Unknown Environments.
Sensors, 2020
Diffusion Field Estimation Using Decentralized Kernel Kalman Filter with Parameter Learning Over Hierarchical Sensor Networks.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Distributed Blind Deconvolution of Seismic Signals Under Sparsity Constraints in Sensor Networks.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
2019
IEEE Wirel. Commun. Lett., 2019
Analysis of Non-Stationary 3D Air-to-Air Channels Using the Theory of Algebraic Curves.
IEEE Trans. Wirel. Commun., 2019
Sensors, 2019
Robotic Active Information Gathering for Spatial Field Reconstruction with Rapidly-Exploring Random Trees and Online Learning of Gaussian Processes.
Sensors, 2019
Analysis of Model Mismatch Effects for a Model-Based Gas Source Localization Strategy Incorporating Advection Knowledge.
Sensors, 2019
Model-based gas source localization strategy for a cooperative multi-robot system - A probabilistic approach and experimental validation incorporating physical knowledge and model uncertainties.
Robotics Auton. Syst., 2019
Coordination Methods for Entropy-Based Multi-Agent Exploration Under Sparsity Constraints.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
Algebraic Analysis of the Poles in the Doppler Spectrum for Vehicle-to-Vehicle Channels.
IEEE Wirel. Commun. Lett., 2018
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Aerosp. Electron. Syst., 2018
Auton. Agents Multi Agent Syst., 2018
Proceedings of the 2018 IEEE Military Communications Conference, 2018
Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Unmanned Aerial Vehicles in Wireless Sensor Networks: Automated Sensor Deployment and Mobile Sink Nodes.
Proceedings of the Intelligent Autonomous Systems 15, 2018
2017
Time-Variant Doppler PDFs and Characteristic Functions for the Vehicle-to-Vehicle Channel.
IEEE Trans. Veh. Technol., 2017
Online information gathering using sampling-based planners and GPs: An information theoretic approach.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Entropy Driven Height Profile Estimation with Multiple UAVs under Sparsity Constraints.
Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017
Probabilistic modeling of gas diffusion with partial differential equations for multi-robot exploration and gas source localization.
Proceedings of the 2017 European Conference on Mobile Robots, 2017
Sparse Bayesian learning with dictionary refinement for super-resolution through time.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
IEEE Trans. Aerosp. Electron. Syst., 2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models.
Signal Process., 2015
Empirical relationship between local scattering function and joint probability density function.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015
Proceedings of the 2015 European Conference on Mobile Robots, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
IEEE Commun. Mag., 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2012
IEEE Wirel. Commun. Lett., 2012
IEEE Trans. Signal Process., 2012
Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout.
Neural Comput., 2012
Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of IEEE International Conference on Communications, 2012
2011
Sparse Variational Bayesian SAGE Algorithm With Application to the Estimation of Multipath Wireless Channels.
IEEE Trans. Signal Process., 2011
Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals.
IEEE Trans. Signal Process., 2011
Proceedings of the 5th International Conference on Signal Processing and Communication Systems, 2011
Fast adaptive variational sparse Bayesian learning with automatic relevance determination.
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Stationary point variational Bayesian attribute-distributed sparse learning with ℓ1 sparsity constraints.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011
2010
Application of information-theoretic measures to quantitative analysis of immunofluorescent microscope imaging.
Comput. Methods Programs Biomed., 2010
Bayesian learning of Echo State Networks with tunable filters and delay&sum readouts.
Proceedings of the IEEE International Conference on Acoustics, 2010
Evidence-based custom-precision estimation with applications to solving nonlinear approximation problems.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2007
EURASIP J. Adv. Signal Process., 2007
Proceedings of the 65th IEEE Vehicular Technology Conference, 2007
2005
Application of the evidence procedure to the estimation of the number of paths in wireless channels.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004