...CRNN model with reduced trainable parameters to allow effective training on small datasets. Experiments were conducted u...
...CRNN). The proposed method is also compared against state-of-the-art (SOTA) baselines to establish its relative effectiv...
...CRNN), which were further validated. Low MUC21 expression correlated with pathological lymph node metastasis, poor tumor...
...CRNN model exceeds current approaches. On the test set, CRNN achieved a Character Error Rate (CER) of 2.14% and Word Err...
...CRNN model predicts to reduce errors. This work is novel because it combines word correction, OCR, detection, classifica...
...Crnn, Rptn, Tchh, Lce members). Gene co-expression analysis revealed stage-specific gene modules (M) associated with ear...
...CRNN) coupled with a Nonlinear Autoregressive model with eXogenous Inputs (NARX) to model the robot's motion dynamics an...
...CRNN were among the most frequently used architectures for text detection and recognition, respectively, whereas integra...
...CRNN), repetin (RPTN), hornerin (HRNR), trichohyalin (TCHH), and trichohyalin like protein 1 (TCHHL1) in human skin afte...
...CRNN, BiDCNN, EmT, and miMamba. Ablation analyses further demonstrate that multi-band decomposition, spatial asymmetry m...
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