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Found 2 papers, 2 papers with code
Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring
This article focuses on proposing a new framework for self-organizing multichannel deep learning system (SMDLS) to solve the problem of river turbidity monitoring, which is one of the most critical indicators of water contamination.
Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner
Then, we construct a temporal support vector regressor (TSVR), which puts more emphasis on the adjacent samples by considering the fact that the crowd usually flows promptly and disorderly in mass rallies.
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