Hybrid AI Model Detects Pavement Distress with High Accuracy
A hybrid model combining CNNs and Vision Transformers achieved 99.89% accuracy in detecting pavement distress, offering a more efficient alternative ...
A hybrid model combining CNNs and Vision Transformers achieved 99.89% accuracy in detecting pavement distress, offering a more efficient alternative ...
A high-throughput sequencing study of Rhododendron decorum foliar fungi across five alpine regions in northwestern Yunnan shows that niche breadth ...
A cognitive load framework combining technical and non-technical skills ranked 190 programmers into five proficiency levels, with fine-tuned CatBoost transfer ...
A fine-tuned random forest model categorized global disaster events into impact classes using spatiotemporal and contextual data available at initial ...
A new machine learning framework identifies high-risk paratransit drivers in Gazipur, Bangladesh, with logistic regression outperforming complex ensembles in predicting ...
Researchers from Koneru Lakshmaiah Education Foundation in India have developed a lightweight deep learning architecture named ACCM-Net, designed to classify ...
A study of 419 patients found that the 2023 ACR/EULAR criteria for antiphospholipid syndrome exclude many previously classified patients without ...
A study published in Diagnostic Pathology presents an integrated framework combining radiomic and deep learning-derived features to improve the accuracy ...
A randomized educational study found that immersive virtual reality improved complex maxillofacial fracture classification accuracy among dental residents compared with ...
Researchers have introduced a dual-branch deep learning architecture named SeAttnFusionNet, designed to automate the binary classification of pharyngitis versus no ...
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© 2026 Scienmag - Science Magazine