Controller stabilizes spherical robot's position and line-of-sight.
problem Stabilizing a spherical robot's position and line-of-sight.
method Geometric control law with feedforward and proportional-derivative control.
result Controller performance validated through simulations.
The paper proposes a system to accurately locate devices using millimeter wave radiation.
problem Accurate positioning of devices in urban environments with millimeter wave communications.
method Beamformed fingerprint learning using deep learning and pre-established beamforming patterns.
result Average estimation errors below 10 meters achievable in outdoor scenarios.
Low-cost water-level tracking using LTE power metrics and wavelet analysis.
problem Real-time water-level monitoring across many locations with fixed instruments.
method Extracts per-antenna RSRP, RSSI, and RSRQ, applies CWT to RSRP, and uses a neural network to track water-level changes.
result Achieves root-mean-square and mean-absolute errors of 0.8 cm and 0.5 cm, respectively, under line-of-sight conditions.
This paper improves indoor positioning accuracy by deploying reference nodes to ensure Line-of-Sight.
problem Systematic bias errors in indoor positioning due to non-LoS propagation.
method Model indoor service area as a graph, partition into cliques for reference nodes, set minimum distance and angle parameters.
result Guaranteed LoS to reference nodes improves indoor positioning accuracy and precision.
Neural net reconstructs dark matter density from halo velocities.
problem Reconstructing local dark matter density from halo velocities.
method Hybrid architecture combining U-Net and DeepSets.
result Hybrid network recovers density amplitudes and phases better than U-Net.
AGNN improves network localization accuracy by 37-53% in NLOS conditions.
problem Massive network localization under Non-Line-of-Sight conditions.
method Attentional Graph Neural Network (AGNN) with Adjacency Learning Module (ALM) and Multiple Graph Attention Layers (MGAL).
result Significant improvement in localization accuracy, approaching fundamental lower bounds.
High frequency trading has led to widespread efforts to reduce information propagation delays between physically distant exchanges. Using relativistically correct millisecond-resolution tick data, we document a 3-millisecond decrease in one-way communication time between the Chicago and New York areas that has occurred…
Neural network improves K-factor estimation for OFDM systems.
problem Estimating Ricean K factor for link quality in OFDM systems.
method Classified as a classification problem, neural network estimates K factor at transmitter side.
result High accuracy in K factor estimation with reduced feedback bandwidth.
Deep neural network speeds up plasma tomography by several orders of magnitude.
problem Slow computation of plasma tomographic reconstructions.
method Trained a deep neural network on a large dataset of tomograms.
result Deep neural network can compute all reconstructions in seconds.
Graph neural networks improve network localization accuracy and efficiency.
problem Network localization in large-scale networks.
method Adopted graph neural networks for nonlinear regression.
result GNN outperforms state-of-the-art benchmarks in network localization.
Paper presents a simple method for accurate user localization in urban areas.
problem Poor GPS performance in dense urban environments.
method Localization based on pathloss using base station signal strengths and RadioUNet approximations.
result Accurate user location extraction in urban environments.
Extends ESGVI for UWB localization with skewed noise, improving state estimation accuracy.
problem Improving state estimation accuracy in UWB localization with skewed noise.
method Generalizes ESGVI to matrix Lie groups and introduces non-Gaussian factors.
result Improved accuracy in UWB localization with NLOS and multipath effects.
Indoor localization based on SIngle Of Fingerprint (SIOF) is rather susceptible to the changing environment, multipath, and non-line-of-sight (NLOS) propagation. Building SIOF is also a very time-consuming process. Recently, we first proposed a GrOup Of Fingerprints (GOOF) to improve the localization accuracy and reduc…
Deep models predict gas properties from dark matter to aid cosmological simulations.
problem Computational challenges in running hydrodynamical simulations for large-scale structure and baryonic probes.
method Trained variational auto-encoders and generative adversarial networks on BAHAMAS hydrodynamical simulation data to map matter density to gas pressure.
result Generated tSZ maps are statistically consistent with those from BAHAMAS, enabling SLICS for tSZ covariance estimation.
Resource allocation improved using machine learning from terminal positions.
problem Optimizing resource allocation in next-gen wireless systems with fast-changing channel conditions.
method Supervised machine learning using position information of mobile terminals.
result Coordinates-based resource allocation performs similarly to traditional CSI-based methods.
Solves challenges of drone communication in cellular networks.
problem Interference from drones to base stations in cellular networks.
method Derived analytical models, formulated optimization problem, transformed into machine learning problem, solved using deep reinforcement learning.
result Optimal handover and resource management policies for drones in cellular networks.
Paper proposes a graph model for optimal AP deployment in indoor optical wireless networks.
problem Challenges in deploying optical wireless networks due to LoS requirement and limited range.
method Graph modeling approach to identify minimum number of APs and their optimal locations.
result Optimal deployment of APs ensures connectivity and minimizes interference in indoor environments.
Study evaluates deep learning models for solar flare prediction with interpretability analysis.
problem Lack of interpretability in deep learning models for solar flare prediction.
method Proximity-based metric for analyzing attribution maps generated by Guided Grad-CAM.
result Models' predictions align with active region characteristics, offering insights into their behavior.
This paper proposes using flying platforms for efficient small-cell base station association in 5G networks.
problem Efficient association and placement of backhaul hubs for small-cell base stations in 5G networks.
method Formulates the association problem considering backhaul link and NFP limitations, then presents a distributed greedy search solution.
result Observes favorable performance via numerical comparison with optimal exhaustive search algorithm.
Most existing fingerprints-based indoor localization approaches are based on some single fingerprints, such as received signal strength (RSS), channel impulse response (CIR), and signal subspace. However, the localization accuracy obtained by the single fingerprint approach is rather susceptible to the changing environ…
This paper uses deep reinforcement learning to optimize UAV-assisted vehicular networks.
problem Optimizing UAV-assisted vehicular networks for efficient communication in smart cities.
method Formulated a Markov decision process (MDP) problem and solved it using deep deterministic policy gradient (DDPG) method.
result Proposed solutions maximize total throughput per unit energy and encourage UAV mobility.
FlexCode converts high-dimensional regression to high-dimensional CDE.
problem Complex conditional distributions in high dimensions.
method Reformulates CDE as a non-parametric orthogonal series problem.
result Efficiently estimates conditional densities in high dimensions.
Equivalence proven between divisorial stability and quotient log divisorial stability.
problem Equivalence of divisorial stability and log divisorial stability under finite group actions.
method Interpolation technique and equivariant divisorial stability construction.
result Equivariant divisorial stability of a polarized variety is equivalent to log divisorial stability of its quotient.
Introduces stability conditions for polarized varieties, linking to K-stability.
problem Stability conditions for polarized varieties.
method Analogue of Bridgeland's stability for polarized varieties, Z-stability, Z-critical Kähler metrics.
result Polarized varieties with certain stability conditions admit Z-critical Kähler metrics.
Proves criteria for uniform K-stability of log Fano pairs.
problem Determining conditions for uniform K-stability of log Fano pairs.
method Analyzes criteria and proves equivalence to β-invariant having a positive lower bound.
result Uniform K-stability is equivalent to β-invariant having a positive lower bound.
Shows uniform K-stability is open in Q-Gorenstein families of Q-Fano varieties.
problem Detecting uniform K-stability in families of Q-Fano varieties.
method Examined the behavior of the stability threshold in families and showed it is lower semicontinuous.
result Uniform K-stability is a Zariski open condition in Q-Gorenstein families of Q-Fano varieties.
Introduces valuative stability for polarised varieties, equivalent to K-stability.
problem Characterizing K-stability for polarised varieties.
method Introduces valuative stability, equivalent to K-stability for test configurations with integral central fibre.
result Equivalence of valuative stability and K-stability for polarised varieties.
The homology groups of many natural sequences of groups {Gn}n=1∞ (e.g. general linear groups, mapping class groups, etc.) stabilize as n→∞. Indeed, there is a well-known machine for proving such results that goes back to early work of Quillen. Church and Farb discovered that many sequ…
We can talk about two kinds of stability of the Ricci flow at Ricci flat metrics. One of them is a linear stability, defined with respect to Perelman's functional F. The other one is a dynamical stability and it refers to a convergence of a Ricci flow starting at any metric in a neighbourhood of a considere…
Decomposes J-energy into simpler intersection numbers for stability analysis.
problem Analyzing J-stability in algebraic geometry.
method Proves a decomposition formula for J-energy and shows equivalence of stability conditions.
result Equivalence of J-stability and K-stability for surfaces under pseudoeffective conditions.
Paper discusses K-stability of pairs and its implications.
problem K-stability of pairs
method Analyzes stable pairs and proves implications.
result K-stability implies CM-stability.
In this work we study properties of stability and non-stability of harmonic maps under the homogeneous Ricci flow. We provide examples where the stability (non-stability) is preserved under the Ricci flow and an example where the Ricci flow does not preserve the stability of an harmonic map.
Study on stability of hyperkähler flow in 4-manifolds.
problem Stability of hyperkähler flow in 4-manifolds.
method Extending results from mean curvature flow for minimal surfaces to hyperkähler flow.
result Obtained a dynamic stability theorem for hyperkähler flow.
Study max- and min-stability under first-order stochastic dominance, finding new functional characterizations.
problem Understanding max- and min-stability in stochastic dominance.
method Representation theorem for functionals satisfying max-stability, combining max- and min-stability to define Lambda-quantiles.
result New characterizations of functionals, including Lambda-quantiles, in finance and political science.
The paper introduces new metrics and stability criteria for complex manifolds.
problem Stability conditions for complex manifolds and metrics.
method Quantization of the J-flow, J-balanced metrics, Chow stability, uniform stability criteria.
result Existence of J-balanced metrics has a purely algebro-geometric characterization in terms of Chow stability.
For a polarized algebraic manifold (X,L), let T be an algebraic torus in the group of all holomorphic automorphisms of X. Then strong relative K-stability will be shown to imply asymptotic relative Chow-stability. In particular, by taking T to be trivial, we see that asymptotic Chow-stability follows from stron…
Introduces new stability concept for Fano fibrations.
problem Stability of Fano fibrations with singularities.
method Introduces f-stability and shows its implications. result Fibered semi log canonical singularities are restricted.
The paper proves stability for contact groupoids and deformations.
problem Stability of contact groupoids and deformations.
method Proof of Gray stability for compact contact groupoids.
result Stability results for deformations of induced Jacobi bundles.
Solves modified conjecture for Fano manifolds using Ding stability.
problem Finding Kähler-Einstein metrics on Fano manifolds.
method Interprets Ding semistability and solves modified conjecture.
result Solves modified conjecture for coupled Kähler-Einstein metrics on Fano manifolds.
This paper enhances stability selection by evaluating overall results robustness and identifying optimal regularization values.
problem Improving the robustness and reliability of high-dimensional variable selection.
method Developed a stability estimator to evaluate stability of stability selection results, calibrating key parameters.
result Identified optimal regularization value and improved stability of variable selection.
This work explores the trade-offs between stability and accuracy in statistical estimation.
problem Understanding the statistical cost of algorithmic stability.
method Statistical decision-theoretic perspective, focusing on worst-case and average-case stability.
result Optimal stable estimators for mean estimation and regression settings are developed, revealing trade-offs between stability and accuracy.
The paper examines stability of harmonic and symphonic maps with forms and potentials.
problem Stability of harmonic and symphonic maps with forms and potentials.
method Analyzes stability of F-harmonic and F-symphonic maps with forms and potentials. result Stability conditions for harmonic and symphonic maps are established.
In this note, we shall show that the Chow-stability and the Hilbert-stability in GIT asymptotically coincide.
We study the stability of non compact steady and expanding gradient Ricci solitons. We first show that strict linear stability implies dynamical stability. Then we give various sufficient geometric conditions ensuring the strict linear stability of such gradient Ricci solitons.
New stability measures for similar features improve feature selection accuracy.
problem Existing stability measures fail to distinguish similar features in highly correlated datasets.
method Introduce new adjusted stability measures that consider feature similarities.
result One new stability measure considers highly similar features as interchangeable.
The paper analyzes how stacking improves model stability.
problem Lack of theoretical insight into how stacking works.
method Stability analysis of learning algorithms, focusing on hypothesis stability.
result The hypothesis stability of stacking is a product of base models and combiner.
Introduces relative stability conditions on triangulated categories.
problem Stability conditions in triangulated categories.
method Definition and deformation of relative stability conditions.
result Deformation of relative stability conditions via gluing stability conditions.
Surveying Morse boundaries and stability results.
problem Understanding Morse boundaries and their stability.
method Review of existing literature.
result Compilation of known results on Morse boundaries and stability.