Search Results for author:
Found 11 papers, 5 papers with code
Data Formulator: AI-powered Concept-driven Visualization Authoring
We realize this paradigm in Data Formulator, an interactive visualization authoring tool.
Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training
In this paper, we propose an encoder-decoder neural architecture (called Channelformer) to achieve improved channel estimation for orthogonal frequency-division multiplexing (OFDM) waveforms in downlink scenarios.
Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data
In this paper, we propose a method to design the training data that can support robust generalization of trained neural networks to unseen channels.
Attention Based Neural Networks for Wireless Channel Estimation
In this paper, we deploy the self-attention mechanism to achieve improved channel estimation for orthogonal frequency-division multiplexing waveforms in the downlink.
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data.
Low Complexity Channel estimation with Neural Network Solutions
Research on machine learning for channel estimation, especially neural network solutions for wireless communications, is attracting significant current interest.
Effects of Turbulence Induced Scattering on Underwater Optical Wireless Communications
It is also demonstrated that the relative impact of turbulence on a received signal is lower in a highly scattering channel.
Knowledge Patterns
From a modeling perspective, knowledge patterns provide an important insight into the structure of a formal ontology: rather than viewing a formal ontology simply as a list of terms and axioms, knowledge patterns views it as a collection of abstract, modular theories (the "knowledge patterns") plus a collection of modeling decisions stating how different aspects of the world can be modeled using those theories.
Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation
Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges.
Networking and Internet Architecture Signal Processing
A User-based Visual Analytics Workflow for Exploratory Model Analysis
We found that our system workflow enabled users to generate complex models, to assess them for various qualities, and to select the most relevant model for their task.
Learning Fast Sparsifying Transforms
We also propose a method to construct fast square but non-orthogonal dictionaries that are factorized as a product of few transforms that can be viewed as a further generalization of Givens rotations to the non-orthogonal setting.
