The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

Understand how CT metrics match FVC in predicting ALS survival, offering a spirometry alternative for patients with bulbar ...

Google's AlphaEvolve is the epitome of a best-practice AI agent orchestration. It offers a lesson in production-grade agent engineering. Discover its architecture & essential takeaways for your ...

The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML empowers teams to build, deploy, and manage machine learning models with ease and ...

resource/datasets/ folder; which will then build the data list (train.txt test.txt): If you use this method or this code in your research, please cite as: @inproceedings{wang2019multi, ...

The core argument of the paper is that what counts as misinformation is not an objective fact but a relative judgment ...

To this end, we propose an unsupervised multi-modal learning model: MMD, which employs Metric learning for professional Malicious users Detection with both ratings and reviews. MMD first utilizes a ...

In this article, we propose TopoMAD, a stochastic seq2seq model which can robustly model spatial and temporal dependence among contaminated data. We include system topological information to organize ...