Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples. by Marc Van Der Hofstadt (1423027)

CT Values of reference materials. by Guosong Jing (20840261)

Gaussian model fitted of the number of dogs detections of SARS-CoV-2, depending on the cycle threshold (Ct) values of RT-qPCR tests for SARS-CoV-2. by Víctor M. Vidal-Martínez (18707335)

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Cycle threshold values at which a specific number of dogs out of 11 dogs was able to detect SARS-CoV-2 in samples from Merida, Yucatán, México. by Víctor M. Vidal-Martínez (18707335)

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Results of a dog’s detections after exposure to sweat samples from positive and negative people to SARS-CoV-2, together with the Ct values of the RT-qPCR test of each person partic... by Víctor M. Vidal-Martínez (18707335)

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Sensitivity and specificity of 11 dogs trained to detect SARS -CoV-2 from the sweat of positive and negative people from Mérida, Yucatán compared with the reference test (RT-qPCR).... by Víctor M. Vidal-Martínez (18707335)

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Details of the 11 fully trained dogs exposed to sweat samples of SARS-CoV-2 positive and negative humans. by Víctor M. Vidal-Martínez (18707335)

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Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”

CT outcome of HPDL-MIAIHD technique with other methods. by Naif Almakayeel (16846021)

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CT outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

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Deep reinforcement learning agents trained using a curriculum solve navigation tasks with delayed rewards. by William L. Tong (22238845)

“…C: ADP outperforms INC and RAND (each teacher-student interaction is a step). The agent does not learn the task without a curriculum. …”

Network architectures for multi-agents task. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”

Video 1_The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.mp4 by Xin Chang Zou (20129301)

“…All patients underwent mid-abdominal CT plain scans and enhancements. The MR group utilized three-dimensional reconstruction of CT data and employed 3D tablets and HoloLens glasses for preoperative discussions, surgical planning, and intraoperative guidance. …”

Ct values and gene copies measured for each pathogen during field work, alongside national surveillance data; pH and NH3-N characterisation. by Jay C. Bullen (10232606)

Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”

Heatmap of top 30 SI-induced gene expression changes by p-value. by Aodán Laighneach (17692183)

Heatmap of top 30 CEL-induced gene expression changes by p-value. by Aodán Laighneach (17692183)

RL agent simulations for slowly-changing perceptual biases. by Yelin Dong (21396067)

“…(<b>C, D</b>) Same as (<b>A, B</b>), but with the RL agent having a much slower learning rate of 0.0004 deg/trial. …”