Sentence examples for recurrent computer from inspiring English sources
Meanwhile, the system errors that once crashed Theodore's marriage begin to re-surface like a recurrent computer virus.
The detection of anomalous behaviors in automated video surveillance is a recurrent topic in recent computer vision research.
This suggests that sustained musculoskeletal pain or peripheral nociceptive inputs from deep tissues may play a role in the chronification of pain or recurrent pain episodes among computer users.
In this study, we developed a computer controlled treadmill system using a recurrent fuzzy neural network heart rate controller (RFNNHRC).
In total, 18 patients at the Royal Marsden Hospital with non-iodine avid metastatic or locally recurrent thyroid carcinoma were identified from the Thyroid Unit computer database of over 2000 patients.
The aim of this study was to assess whether auto-calibrating medical-grade monitors perform better than off-the-shelf monitors and tablet computers in detecting artificial incipient and recurrent caries-like lesions.
Computer simulations and comparisons with some existing recurrent networks have conducted to confirm the effectiveness and superiority of the proposed Wiener-type network, identification algorithm and control strategy.
These solutions can be generated in real time for simple models on modern computer hardware, resulting in a fully interactive recurrent modeling system for designing models that closely match specific natural shapes.
Finally, theoretical and most, if not all, computer models explain figure-ground segmentation by recurrent processing through horizontal and/or feedback connections.
The diagnosis of recurrent disease was essentially confirmed by physical examination, X-rays, computomographyaphy (CT), magnetic resonance imaging (MRI), bone scintigraphy and/or other imaging modalities.
Computer-simulation results substantiate that the proposed recurrent neural network could achieve much superior performance on solving the Lyapunov equation with time-varying coefficient matrices, as compared to conventional gradient-based neural networks (GNN).
