Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images. [PDF]
Neural Comput Appl, 2023 Sahin ME, Ulutas H, Yuce E, Erkoc MF.
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
FPN-Based Faster R-CNN for Fiber Distributed Acoustic Sensing Intrusion Detection in High-Speed Railway. [PDF]
Sensors (Basel)Lei Z, Dong Z, Xu H, Xiao X, Qiu X.
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Design of public cultural sign based on Faster-R-CNN and its application in urban visual communication. [PDF]
PeerJ Comput Sci, 2023 Gong X, Fang J.
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
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Performance comparison of YOLO, Faster R-CNN, and HRNet architectures for bull sperm viability assessment. [PDF]
Front Vet SciÖztürk AE +4 more
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Advanced Intelligent Discovery, EarlyView.AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Optimization of deep learning-based faster R-CNN network for vehicle detection. [PDF]
Sci RepDeepak GD, Bhat SK.
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A Robust Faster R-CNN Model with Feature Enhancement for Rust Detection of Transmission Line Fitting. [PDF]
Sensors (Basel), 2022 Guo Z, Tian Y, Mao W.
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Advanced Intelligent Discovery, EarlyView.Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source