A Solution to Adaptive Mobile Manipulator Throwing

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To retrieve Surface Solar Radiation (SSR) from satellite images, a baseline reflectance of the observed ground in clear-sky conditions, also called background reflectance, is necessary to distinguish atmospheric absorption and scattering effects from surfa ...

Graph neural networks (GNN) are very popular methods in machine learning and have been applied very successfully to the prediction of the properties of molecules and materials. First-order GNNs are well known to be incomplete, i.e. there exist graphs that ...

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A Solution to Adaptive Mobile Manipulator Throwing

Chat with Graph Search

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context

Incompleteness of graph neural networks for points clouds in three dimensions

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population

A Study on Quantum Graph Neural Networks Applied to Molecular Physics

Multi-Dimensional Explanation of Target Variables from Documents

MetaCap: Meta-learning Priors from Multi-view Imagery for Sparse-View Human Performance Capture and Rendering

Visual Focus of Attention Estimation in 3D Scene with an Arbitrary Number of Targets

Machine Learning in Decision-Making Systems: Fairness, Robustness, and Data Bias

Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet

Data-driven models in fusion exhaust: AI methods and perspectives

Eye-Rubbing Detection Using a Smartwatch: A Feasibility Study Demonstrated High Accuracy With Machine Learning

Intelligent prediction framework for axial compressive capacity of FRP-RACFST columns

Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks

Hyperdimensional computing with holographic and adaptive encoder

Surface segregation in high-entropy alloys from alchemical machine learning

Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things

Robust time series denoising with learnable wavelet packet transform

Live-cell imaging powered by computation

NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways