Doppler
PulseAugur coverage of Doppler — every cluster mentioning Doppler across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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DoRF++ uses NeRF and spherical Transformers for advanced Wi-Fi sensing
Researchers have developed DoRF++, a novel approach to Wi-Fi sensing that leverages neural radiance fields (NeRF) to model human motion from Channel State Information (CSI). This method treats Doppler velocity projectio…
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New audit tool EndoClock flags data loss in medical AI pipelines
Researchers have developed EndoClock, a new auditing tool designed to identify potential information loss in medical world models. These models often preprocess multimodal recordings by synchronizing them onto a fixed-r…
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New method fuses multi-domain data for satellite IoT interference recognition
Researchers have developed a novel method for recognizing compound interference in Long Range-Frequency Hopping Spread Spectrum (LR-FHSS) satellite IoT uplinks. This approach treats interference recognition as a multi-i…
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New AI framework translates fetal ECG to Doppler waveforms
Researchers have developed a novel cross-modal generative framework that translates fetal electrocardiogram (fECG) signals into fetal Doppler waveforms. This model utilizes dilated convolutions and cross-modal attention…
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New HypoProto Framework Enhances Interpretable LVFP Classification in Echocardiography
Researchers have developed HypOProto, a novel framework for classifying Left Ventricular Filling Pressure (LVFP) using echocardiography (echo) data. This method utilizes hyperbolic geometry and ordinal prototypes to enh…
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DOPPLER framework optimizes ML workloads with dual-policy learning
Researchers have developed DOPPLER, a novel three-stage framework for optimizing device assignment in asynchronous dataflow graphs, particularly for complex machine learning workloads. This system addresses limitations …
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New Bayesian regression model LABS shows adaptive learning capabilities
Researchers have developed a new Bayesian nonparametric regression model called Lévy Adaptive B-spline (LABS). This model uses B-spline kernels to adapt to complex data features and has demonstrated theoretical properti…