Search alternatives:
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
robust detection » object detection (Expand Search), point detection (Expand Search), first detection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based robust » based probes (Expand Search)
binary ai » binary _ (Expand Search), binary pairs (Expand Search)
ai driven » _ driven (Expand Search), a driver (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
robust detection » object detection (Expand Search), point detection (Expand Search), first detection (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based robust » based probes (Expand Search)
binary ai » binary _ (Expand Search), binary pairs (Expand Search)
ai driven » _ driven (Expand Search), a driver (Expand Search)
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Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png
Published 2025“…</p>Methods<p>To address these challenges, we propose a novel AI-driven framework that incorporates two key methodological innovations: CardioSpectra, a structured sparse inference model, and Risk-Stratified Exertional Embedding (RSEE), a domain-specific representation learning strategy. …”
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Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx
Published 2025“…To address these limitations, this study proposed a method for detecting litchi maturity states based on UAV remote sensing and YOLOv8-FPDW. …”
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Enhancing digital pathology workflows: computational blur detection for H&E image quality control in preclinical toxicology
Published 2025“…To address this, we have integrated a pair of productionalized computational models – ‘MiQC’ (Microscopic Quality Control) – into our routine image QC workflows. MiQC combines Local Binary Patterns (LBP) and DeepFocus-based deep learning algorithms to detect and quantify out-of-focus regions in WSIs. …”
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Processed dataset to train and test the WGAN-GP_IMOA_DA_Ensemble model
Published 2025“…<p dir="ltr">In the dynamic landscape of cybersecurity, robust and efficient Intrusion Detection Systems (IDS) are essential. …”
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Supplementary Material 8
Published 2025“…By mitigating class imbalance, SMOTE enables robust AMR detection, aiding in early identification of drug-resistant bacteria and informing antibiotic stewardship efforts.…”