New AI Model Catches Tiny Document Forgeries by Fusing Seven Image Domains
Researchers have developed an AI framework that fuses seven transformation domains of a document image with attention mechanisms and fine-grained ...
Researchers have developed an AI framework that fuses seven transformation domains of a document image with attention mechanisms and fine-grained ...
Researchers in Sardinia have built the first field dataset of grapevine hopperburn symptoms and shown that deep learning detectors reliably ...
A first-of-its-kind survey maps how data perturbation, synthetic rendering, and generative models are transforming AI systems that detect, track, and ...
Researchers in Tehran have developed Confidence-MPT, a hybrid framework that embeds LSTM neural network forecasts and a measure of predictive ...
A new deep learning network called MHISR reconstructs sharp microscopic hyperspectral images, enabling researchers to quantify rice disease resistance through ...
Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...
Researchers have developed TamperNet, a hybrid spatio-temporal deep learning framework that detects frame duplication, deletion, cloning, splicing, and inpainting in ...
Researchers have developed a lightweight deep learning framework that automatically segments liver anatomy and computes optimized, safety-aware needle trajectories for ...
A plant-specific deep learning model called DeepGreenGO combines protein language model embeddings with graph neural networks to predict Gene Ontology ...
A dual-branch deep learning framework that fuses local terrain characteristics with surrounding spatial context has achieved record accuracy in mapping ...
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© 2025 Scienmag - Science Magazine