The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...
Artificial intelligence (AI) has become a foundational technology in the development of autonomous vehicles (Garikapati Shetiya, 2024), enabling these systems to perceive their environment, make ...
China's National Financial Regulatory Administration recently issued the "Guiding Opinions on the Secure Development and ...
Abstract: Sentiment classification is a critical yet challenging task in Natural Language Processing (NLP), owing to linguistic ambiguity, context dependence, and uncertainty in human sentiment ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
From detecting pancreatic cancer three years early to recognising 18 tumour types from a handful of tissue slides, AI is transforming medicine. Here is a comprehensive guide to the breakthroughs, the ...
A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes ...
Research-grade hybrid malware detection system combining Random Forest, XGBoost, and a Deep Neural Network in a weighted ensemble, with an Autoencoder for zero-day anomaly detection — featuring SHAP ...
An AI-powered Streamlit application for healthcare content intelligence, policy analysis, RAG-based question answering, rule extraction, feature extraction, claim decision support, explainability, and ...
The framework combines edge-aware lung segmentation, fibrosis classification, and Grad-CAM-based explainability to provide interpretable clinical decision support. The model was evaluated on a curated ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results