AI Ensemble Reads Soil Chemistry to Identify Crop Types With Record Accuracy
A new architecture-diverse TabNet ensemble classifies seven crop types from harmonized multi-source soil data with 90.5 percent accuracy, outperforming XGBoost ...
A new architecture-diverse TabNet ensemble classifies seven crop types from harmonized multi-source soil data with 90.5 percent accuracy, outperforming XGBoost ...
Concrete is one of the largest sources of human-made carbon emissions, and the race to replace it with greener alternatives ...
A new difficulty-aware Transformer framework jointly optimized by particle swarm intelligence improves sports score trend prediction while attributing forecasts to ...
Plant pathologists have long faced a stubborn diagnostic problem: a single leaf can carry several diseases at once, each with ...
A new transformer model called LitGene learns gene function by reading the scientific literature and aligning it with Gene Ontology ...
A new framework called SISTR represents word and text meanings as sparse vectors over human-interpretable topics derived from pretrained language ...
A new machine-learning framework called MB-SupConCon extends supervised contrastive learning to continuous responses, enabling more accurate and biologically interpretable prediction ...
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
A new waveletâEMD fusion framework detects epileptic patterns in pediatric EEG with 94.6% accuracy on synthetic data and retains the ...
Researchers in Qatar have built a two-stage AI pipeline that predicts clinical keywords from chest X-rays and then generates full ...
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Âİ 2025 Scienmag - Science Magazine
Âİ 2025 Scienmag - Science Magazine