This study introduces a novel approach for dental caries segmentation in panoramic radiographs utilizing the DL approach of the AI system. We depart from prior studies that relied solely on ground truth established through single radiographic…
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Single-atom cobalt on N-doped reduced graphene oxide pushes the oxygen reduction reaction toward 4-electron pathway
Physical and chemical characterization
The Co-N-rGO was synthesized using a previously established and reproducible microwave assisted method, as reported in our earlier work (refs. 25,45,46) and described in detail in the Supporting Information….
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Epitope mapping strategies for immunogenicity mitigation in streptokinase therapeutics: an in-silico study
Visual workflow
To provide a comprehensive overview of our in-silico methodology, the study is initiated by presenting the key steps through a visual workflow (Fig. 1). This workflow diagram highlights the structured approach used to identify and…
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A study on intuitionistic fuzzy generating function using T-Norm, T-Conorm operators to enhance night-time images for autonomous driving system
Rosenzweig, J. & Bartl, M. A review and analysis of literature on autonomous driving. E-Journal Making-of Innovation 1–57 (2015).
Zhao, J. et al. Autonomous driving system: A comprehensive survey. Exp. Syst. Appl. 242, 122836 (2024).
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Evaluation of high performance concrete hardness properties using fuzzy logic based modeling
The structure of the proposed method is shown in Fig. 1. In the proposed approach, SVR, MLP and GBM are used as predictive models, and a Fuzzy Inference System (FIS) is included to process the uncertain data before it is used. Raw inputs are…
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Suitability of incorporating plantain stem cellulose nanocrystals into cmc/gelatin film for packaging applications
Diffraction pattern analysis
The CNC crystallinity produced from the plantain stem fiber was measured with XRD technque. The degree of crystallinity in natural fibers can be enhanced by employing acid to hydrolyze the non-crystalline components of…
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Physics-informed machine learning-based real-time long-horizon temperature fields prediction in metallic additive manufacturing
System overview
Figure 1a illustrates the overall workflow of the real-time long-horizon temperature field prediction system for WAAM based on PIML. It primarily consists of five stages: data generation, data collection, data processing, basic…
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Critical fluctuations and noise spectra in two-dimensional Fe3GeTe2 magnets
We investigate the critical fluctuations in Fe3GeTe2 (hereafter abbreviated as FGT), a van der Waals magnet exhibiting a paramagnetic-ferromagnetic phase transition. FGT is an exfoliable magnet that retains robust ferromagnetism with strong…
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Influence of sudden expansion geometries on cavitation behavior of control valves
Valve downstream flow characteristics
Figure 7 demonstrates the typical cavitation patterns of the plunger valve and the fixed cone valve under different expansion ratios (R=1.00, 2.15, 4.00) in downstream pipelines. Both valve types exhibit…
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