Comparison of environmental perception time results at different learning rates. by Wenhui Wang (34265)

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RMSE versus learning rate. by Zhe Hu (787283)

“…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. …”

Boxplot rate of influenza positivity value by period. by Nadia Nisar (311028)

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Average Heart Rate across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: Heart Rate (HR) increases from pre-interview to intervie... by David Vagni (8060432)

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Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

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Comparison Of Performance at Different Optimizers and Learning Rates. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Social change: No decrease in singing rate upon first-time social isolation in the same environment. by Anja T. Zai (9225852)

TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

Figure 6 from Ammonia Suppresses the Antitumor Activity of Natural Killer Cells and T Cells by Decreasing Mature Perforin by Joanna Domagala (21643925)

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Mean parameter values for the selected crops. by Gourab Saha (8987405)

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Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

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Block diagram for Average Value-based irrigation system. by Gourab Saha (8987405)

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Flow chart of Average Value-based control system. by Gourab Saha (8987405)

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Average Time Between Successive R-wave Peaks (RR Intervals) across pre-interview, interview and post-interview phases for High and Low Clarity and Authority groups: RR decreases fr... by David Vagni (8060432)

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Water consumption due to average value and fuzzy logic algorithm. by Gourab Saha (8987405)

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