Spectral unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, significant ...

Spectral Unmixing is an important technique in remote sensing for analyzing hyperspectral images to identify endmembers and estimate fractional abundance maps. Over the past few decades, significant ...

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 ...

New tissue-derived organoid model: A next-generation organoid model, composed of three liver cell types – adult hepatocytes, cholangiocytes, and liver mesenchymal cells – reconstructs ...

Existing tissue-derived liver organoid models consist of only one cell type and fail to replicate the complex cellular composition and tissue architecture, such as the liver periportal region.

Get Instant Summarized Text (Gist) A novel transformer architecture, Co 4, emulates dual-input, state-dependent processing observed in human neocortical neurons, enabling pre-selection of relevant ...

A gradual fine-tuning strategy was employed, progressively unfreezing the last 6 layers of ESM-2 encoder and applying discriminative learning rates with the AdamW optimizer. ... A transfer-learned ...