IEEE

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

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

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...
GitHub

Motus: A Unified Latent Action World Model

Inference (without pre-encoded T5) ~ 41 GB A100 (40GB) / A100 (80GB) / H100 / B200 Motus_Wan2_2_5B_pretrain Pretrain / VGM Backbone Stage 1 VGM pretrained checkpoint ...
GitHub

circuit-synth

What is Code-Based Circuit Design? Circuit-synth brings software engineering practices to hardware design by letting you define circuits in Python code instead of ...
IEEE

An Attention-Augmented BiLSTM-CNN Model for Stock Price Prediction

Abstract: The inherent volatility of the stock market has challenged investors in seeking reliable predictive models. This paper presents a hybrid deep learning model that combines bidirectional long ...