XDA Developers on MSN

I replaced Gemma 4 with a two-year-old coding LLM, and my local AI setup works better than ever

A coding LLM doesn't care whether you code, just whether your input has rules ...
IEEE

Bi-LSTM-Based Train Fault Detection System Using Edge Computing and IoT for Enhanced Railway Safety

Abstract: Rapid transit systems are a vital part of the public transportation system, providing safety, minimizing cost, and reducing travel times. Existing railway systems face significant issues, ...
IEEE

Reinforcement Learning to Enhance Digital Twin Based EDFA Fault Prediction in Optical Networks

Abstract: This study proposes a novel two-stage framework that integrates Digital Twin (DT) with Reinforcement Learning (RL) for failure prediction in optical communication networks. The framework ...
Frontiers

An interpretable building air conditioning load forecasting framework using SSA-optimized Bi-LSTM and SHAP analysis

Short-term air conditioning load forecasting in industrial buildings plays a key role in energy management and carbon neutrality efforts. Yet internal disturbances, latent heat variations, and ...
GitHub

LSTM and QRNN Language Model Toolkit

Regularizing and Optimizing LSTM Language Models An Analysis of Neural Language Modeling at Multiple Scales This code was originally forked from the PyTorch word level language modeling example. The ...
note

[3 Steps] A Practical Roadmap for 30-something Field Engineers to Master Python at Maximum Speed and Implement Predictive Maintenance AI in One Month

Time-series data in manufacturing (temperature, pressure, vibration, current...) is tricky. Data preprocessing, windowing, normalization, the format to pass to the model... "I'll visualize that data ...
GitHub

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

@article{cornia2018predicting, author = {Cornia, Marcella and Baraldi, Lorenzo and Serra, Giuseppe and Cucchiara, Rita}, title = {{Predicting Human Eye Fixations via an LSTM-based Saliency Attentive ...
Frontiers

An explainable Bi-LSTM model for winter wheat yield prediction

Accurate, reliable and transparent crop yield prediction is crucial for informed decision-making by governments, farmers, and businesses regarding food security as well as agricultural business and ...