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Found 4 papers, 1 papers with code
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning
One of the recent developments in deep learning is generalized zero-shot learning (GZSL), which aims to recognize objects from both seen and unseen classes, when only the labeled examples from seen classes are provided.
Similarity Learning based Few Shot Learning for ECG Time Series Classification
Using deep learning models to classify time series data generated from the Internet of Things (IoT) devices requires a large amount of labeled data.
Use of Remote Sensing Data to Identify Air Pollution Signatures in India
Air quality has major impact on a country's socio-economic position and identifying major air pollution sources is at the heart of tackling the issue.
NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks
This paper presents NANCY, a system that generates adaptive bit rates (ABR) for video and adaptive network coding rates (ANCR) using reinforcement learning (RL) for video distribution over wireless networks.
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