IEEE

Cross-Mode Jointly Shared-Specific Variational Graph Attention Autoencoder for Soft Sensor Application in Multimode Industrial Process

Abstract: Accurate online detection or prediction of key quality variables provides critical reference information for optimizing and controlling operating variables in industrial processes. However, ...
GitHub

Missing official FastAPI-based lightweight REST inference example for OpenVINO Python API

OpenVINO provides powerful Python APIs for model conversion and inference, as well as OpenVINO Model Server (OVMS) for production deployments. However, there is currently no official lightweight REST ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...
IEEE

The Influence of Dropout and Variational Inference on CNN Model Performance in Breast Tumor Classification

Abstract: Early detection is crucial for improving patients’ chances of recovery, and using artificial intelligence (AI) in medical image analysis has become a potential solution to enhance diagnostic ...