News

IEEE25d
A Variational Approach for Designing Infinite Impulse Response Filters With Time-Varying Parameters - IEEE Xplore
Filter design with short transient state is a problem encountered in many fields of circuits, systems, and signal processing. In this paper, a novel low-pass filter design technique with time-varying ...
C&EN26d
An Open Drug Discovery Competition: Experimental Validation of Predictive Models in a Series of Novel Antimalarials | Journal of Medicinal Chemistry - ACS Publications
The Open Source Malaria (OSM) consortium is developing compounds that kill the human malaria parasite, Plasmodium falciparum, by targeting PfATP4, an essential ion pump on the parasite surface. The ...
GitHub26d
Prometheus Time Series Anomaly Detection with LSTM Autoencoder
This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
IEEE29d
Multiscale Restoration of Missing Data in Optical Time-Series Images With Masked Spatial–Temporal Attention Network - IEEE Xplore
Remote sensing images often suffer from substantial data loss due to factors such as thick cloud cover and sensor limitations. Existing methods for imputing missing values in remote sensing images ...
GitHub29d
missing-values · GitHub Topics · GitHub
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient ...