A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Abstract: Accurate photovoltaic module defect detection is hindered by limited single-modality information and weak feature representation under complex environmental conditions. To enhance defect ...

Built on Gemini 2.5 Flash and Pro with a 32,000-token context window, you get faster results and precise delivery for ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...

Abstract: The primary challenge in unsupervised gait recognition lies in generating meaningful and diverse supervisory signals to guide representation learning. The effectiveness of such methods ...

For years, marketers built their strategies around a clear and visible funnel: awareness, consideration, conversion. It worked well in a web where behaviors were traceable, people clicked links, ...

Ford is recalling more than 270,000 electric and hybrid vehicles in the U.S. because of a parking function problem that could lead to them rolling away. The Detroit automaker says ...

Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information ...