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Found 11 papers, 2 papers with code
Efficient Domain Coverage for Vehicles with Second Order Dynamics via Multi-Agent Reinforcement Learning
To improve the stability of the learning-based policy and efficiency of exploration, we utilize an imitation loss based on the state-of-the-art classical control policy.
Contrastive Psudo-supervised Classification for Intra-Pulse Modulation of Radar Emitter Signals Using data augmentation
The automatic classification of radar waveform is a fundamental technique in electronic countermeasures (ECM). Recent supervised deep learning-based methods have achieved great success in a such classification task. However, those methods require enough labeled samples to work properly and in many circumstances, it is not available. To tackle this problem, in this paper, we propose a three-stages deep radar waveform clustering(DRSC) technique to automatically group the received signal samples without labels. Firstly, a pretext model is trained in a self-supervised way with the help of several data augmentation techniques to extract the class-dependent features. Next, the pseudo-supervised contrastive training is involved to further promote the separation between the extracted class-dependent features. And finally, the unsupervised problem is converted to a semi-supervised classification problem via pseudo label generation.
Adaptive Partially-Observed Sequential Change Detection and Isolation
High-dimensional data has become popular due to the easy accessibility of sensors in modern industrial applications.
Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction
Electrical conduction among cardiac tissue is commonly modeled with partial differential equations, i. e., reaction-diffusion equation, where the reaction term describes cellular stimulation and diffusion term describes electrical propagation.
Short-term probabilistic photovoltaic power forecast based on deep convolutional long short-term memory network and kernel density estimation
Photovoltaic (PV) power is an important way to utilize solar energy.
Flexible Generation of Natural Language Deductions
Natural language is an attractive representation for this purpose -- it is both highly expressive and easy for humans to understand.
Measurement of tunnel coupling in a Si double quantum dot based on charge sensing
In Si quantum dots, valley degree of freedom, in particular the generally small valley splitting and the dot-dependent valley-orbit phase, adds complexities to the low-energy electron dynamics and the associated spin qubit manipulation.
Mesoscale and Nanoscale Physics Quantum Physics
Large eddy simulation/probability density function simulations of the Cambridge turbulent stratified flame series under swirling conditions
The parametric studies show that the differential diffusion has a negligible effect on the mean and r. m. s.
Fluid Dynamics
Effective Distant Supervision for Temporal Relation Extraction
A principal barrier to training temporal relation extraction models in new domains is the lack of varied, high quality examples and the challenge of collecting more.
Nutational resonances, transitional precession, and precession-averaged evolution in binary black-hole systems
We use analytic solutions for generic spin precession at 2PN order to derive Fourier series for the total and orbital angular momenta in which each term is a sinusoid with frequency $\Omega - n\omega$ for integer $n$.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena
