Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

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Cells lacking Cbf11 and/or Mga2 display nutrient-responsive decrease in lipid droplet (LD) content. by Anna Marešová (14375187)

The design of the brushless direct current motor (BLDCM) closed-loop speed regulating system. by Leijie Wang (21485157)

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Comparison of the transmission structure of the insulin pump. by Leijie Wang (21485157)

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LSTM parameter combination by using the grid search method. by Leijie Wang (21485157)

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Comparison of single infusion accuracy between single-stage and two-stage pumps. by Leijie Wang (21485157)

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Design of insulin infusion regimen for experimental verification. by Leijie Wang (21485157)

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Boxplot of theoretical and actual injection doses. by Leijie Wang (21485157)

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Simulation performance and control effect of BP-PID. by Leijie Wang (21485157)

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Workflow and structure of the insulin pump. by Leijie Wang (21485157)

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Performance comparison between theoretical and actual injection doses. by Leijie Wang (21485157)

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Accuracy comparison of single-stage and two-stage pumps for low base rate infusion. by Leijie Wang (21485157)

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Accuracy and loss of LSTM model training and testing. by Leijie Wang (21485157)

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Schematic diagram of experimental setup for in vitro study. by Leijie Wang (21485157)

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Sodium levels in Canadian restaurant menu items compared to UK National Salt Reduction Initiative (NSRI) targets by UK NSRI food category. by Caroline G. Middleton (22041479)

Line graph showing the increase or decrease in the average number of bee swarms caught over the past three years (Mean  by Beatrice T. Nganso (4114768)

Decadal mean regional hydrology. by Nic Gedney (19762301)

Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Simulated regional mean wetland seasons. by Nic Gedney (19762301)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”