Government e-Marketplace (GeM) has gone from an idea to a procurement giant, ensuring transparency, accountability, and ...

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 better accomplish MI tasks, we explored, selected, and integrated the deep features of EEG and EMG signals, and designed a 2M-hBCINet model. Common machine learning evaluation metrics were selected ...

Researchers proposed a deep learning-based dyslexia detection system (DDS ... The feature maps are processed by the MobileNet V2 + single shot detection (SSD) ( Chiu et al., 2020) lite model to ...