5 competitive gates hidden inside ‘rank and display’

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s how it works.
IEEE

LRP-QViT: Mixed-Precision Vision Transformer Quantization Using Layer Importance Score

Abstract: We introduce LRP-QViT, an explainability-driven approach for mixed-precision bit allocation in Vision Transformers (ViTs). Our method assigns different bit widths to layers based on their ...
IEEE

EffiDenseGenOp: Ensemble Transfer Learning With Hyperparameter Tuning Using Genetic Algorithm Optimization for PCOS Detection From Ultrasound Sonography Images

Abstract: In this research, we present the revolutionary ‘EffiDenseGenOp’ framework for Polycystic Ovary Syndrome (PCOS) detection, leveraging the amalgamation of Ensembled Transfer Learning Models.
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
GitHub

Real-time anomaly detection system with multiple ML algorithms (Isolation Forest, Statistical Z-score, LSTM Autoencoder) and ensemble voting for streaming data processing.

There was an error while loading. Please reload this page.
GitHub

deva-graph ️

देव (deva) — divine, celestial. Graph algorithms are the divine mathematics underlying all networks. A production-ready, zero-dependency TypeScript graph library with 20+ algorithms spanning traversal ...