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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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)

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

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Deep reinforcement learning process. by Sen Cao (6017846)

“…This study introduces an improved adaptive signal control approach using an enhanced dual-layer deep Q-network (EXP-DDQN), specifically tailored for intelligent connected environments. …”

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

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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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Regression analyses of the number of all ultrasonic calls identified by the experienced researcher (A.P.; “Human”) and by the DeepSqueak machine learning tool. by Piotr Popik (292215)

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ROC curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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Loss curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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Confusion matrices of (a-b) 60:40 of TRAP/TESP and (c-d) 70:30 of TRAP/TESP. by Naif Almakayeel (16846021)

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ICH recognition outcome of HPDL-MIAIHD technique on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

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Average of HPDL-MIAIHD methodology on 70:30 of TRAP/TESP. by Naif Almakayeel (16846021)

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Overall flow of the HPDL-MIAIHD approach. by Naif Almakayeel (16846021)

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