IEEE

Time-Series Classification Using a CNN-LSTM Model with Attention, Autoencoder, and K-Fold ...

Abstract: Here, we propose a hybrid Deep Learning (DL) framework consisting of a Denoising Autoencoder (DAE), Convolutional Neural Network (CNN), Bidirectional LSTM (BiLSTM), and a custom Attention ...
IEEE

Comparative Study of Pre-Trained Deep Learning Models for Brain Tumor MRI Image ...

Abstract: Manual review of brain MRI alone struggles to deliver timely, reliable tumor diagnosis. We study transfer-learning baselines and a simple ensemble for four-class MRI classification (glioma, ...
Android Police

I'm finally learning to code, and I have NotebookLM to thank for it

Irene Okpanachi is a Features writer, covering mobile and PC guides that help you understand your devices. She has five years' experience in the Tech, E-commerce, and Food niches. Particularly, the ...
GitHub

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand ...

The official implementation for "UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection". The detection of ligand binding sites for proteins is ...
GitHub

Multi-Task Graph Neural Networks for Comprehensive Surfactant Property Prediction

SurfMT-GNN/ ├── README.md # This file ├── LICENSE # MIT License ├── requirements.txt # Python dependencies ├── environment.yml # Conda environment ├── CITATION.cff # Citation information │ ├── configs ...