Amharic Deep Learning Chatbot Model Shows High Accuracy for HIV Care Information
Researchers developed a bidirectional gated recurrent unit chatbot model achieving 95.01 percent accuracy on Amharic text data for HIV and ...
Researchers developed a bidirectional gated recurrent unit chatbot model achieving 95.01 percent accuracy on Amharic text data for HIV and ...
A multimodal audiovisual deep learning system identified coughing pigs in group-housed pens with an average mAP of 0.96 and worked ...
A 2026 computational study found that a domain-specific BiGRU-CRF pipeline achieved 96.52% entity-level exact-match accuracy across 6,000 Chinese power-grid text ...
A Mahabad Dam modeling study reported an 80% reduction in mean absolute error and a rise in Willmott’s index from ...
Researchers at VIT-AP University have developed an explainable hybrid deep learning model that classifies knee osteoporosis from X-rays with 91 ...
Researchers in Nanjing have turned ordinary traffic surveillance cameras into wind sensors, using a deep learning model called WindEarNet to ...
Researchers in Greece have developed a two-stage framework combining kinematic-aware AIS data preprocessing with a bidirectional recurrent network to predict ...
A dual-encoder AI grammar correction model combining syntactic and semantic pathways outperformed existing systems on standard benchmarks and fixed more ...
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© 2025 Scienmag - Science Magazine