A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a comprehensive review of ...

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

The digital advertising ecosystem has reached a critical inflection point where reactive brand safety measures are no longer ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...