Python code for: Using convolutional neural network to predict remission of diabetes after gastric bypass surgery – a machine learning study from the Scandinavian Obesity Surgery Register حسب Yang Cao (9509135)

"…<p>The file includes the Python code and annotations of training, validation, and test for the CNN predictive model used in the paper “Using convolutional neural network to predict remission of diabetes after gastric bypass surgery – a machine learning study from the Scandinavian Obesity Surgery Register”.…"

Hyperparameters of the ProSmith gradient boosting models. حسب Alexander Kroll (9304225)

الموضوعات:

Experimental results for solar melting of zinc metal using multi-facet parabolic dish and a cavity receiver حسب Pieter Bezuidenhout (18333273)

"…</p> <p>Experiments were conducted, each with a unique set of environmental conditions:</p> <ol> <li>Experiment 1 – 26^th of July 2022 = “Exp 1_26072022”</li> <li>Experiment 2 – 04t of August 2022= “Exp 2_04082022”</li> <li>Experiment 3 – 16^th of August 2022= “Exp 3_16082022”</li> <li>Experiment 4 – 21^st of August 2022= “Exp 4_21082022”</li> <li>Experiment 5 – 5^th of September 2022= “Exp 5_05092022”</li> </ol> <p>Also included in the dataset are the original weather data collected on the respective experimental test work days as well as the weather data in the processed form after correcting the weather data to serve as input for the numerical model developed in the Python coding language.</p> <p>Raw weather data:</p> <ol> <li>Exp 1_Weather data_Original_26072022</li> <li>Exp 2_Weather data_Original_04082022</li> <li>Exp 3_Weather data_Original_16082022</li> <li>Exp 4_Weather data_Original_21082022</li> <li>Exp 5_Weather data_Original_05092022</li> </ol> <p>Processed weather data:</p> <ol> <li>Exp 1_Weather data_Post-process_26072022</li> <li>Exp 2_Weather data_Post-process_04082022</li> <li>Exp 3_Weather data_Post-process_16082022</li> <li>Exp 4_Weather data_Post-process_21082022</li> <li>Exp 5_Weather data_Post-process_05092022</li> </ol> <p>In addition to all the weather data and the experimental results collected on the five experimental runs, the dataset also contains the Python code used to predict the zinc temperature in the cavity receiver. …"

The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... حسب Alexander Kroll (9304225)

الموضوعات:

Scheme of hippocampal detection and prediction of MTLE with the hippocampus as the epileptogenic area. حسب Kyoya Sakashita (14670611)

Predictive performance for earthworm species prediction across different classification models and handcrafted features on external validation dataset (<i>E. fetida</i> vs others). حسب Saiqa Andleeb (11442771)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

الموضوعات:

Predictive performance for earthworm species prediction across different classification models and deep feature maps on external validation dataset (<i>E. fetida</i> vs others). حسب Saiqa Andleeb (11442771)

Predictive performance for earthworm species prediction across different classification models and handcrafted features using 10-fold CV (<i>E. fetida</i> vs others). حسب Saiqa Andleeb (11442771)

Fig 4 - حسب Xiujie Ge (6831833)

<b>Python codes for machine learning algorithms for subclinical mastitis prediction</b> حسب Hamza Yalçin (21182759)

Predictive performance for earthworm species prediction across different classification models and deep feature maps using 10-fold CV (<i>E. fetida</i> vs others). حسب Saiqa Andleeb (11442771)

Deep learning models to identify penguins' prey capture rates حسب Stefan Schoombie (6844115)

"…This as done in the Python programming language.</p><p dir="ltr">Two models were trained (CNN and V-Net architectures) and predictions were made on individual birds that have not been exposed to the model training.…"

Python Script for the QSAR Model Building. حسب Md. Al-Amin (6270104)

Replacing the final prediction layer of end-to-end trained Transformer Networks with gradient boosting models improves performance. حسب Alexander Kroll (9304225)

الموضوعات:

A Preliminary Analysis On the Diffusion of Python-Specific Code Smells in AI-Enabled Systems حسب Giusy Annunziata (14860255)

Five Operator Lattice Simulation حسب James McDaniel (22522571)

الموضوعات:

ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. حسب Alexander Kroll (9304225)

الموضوعات:

Performance metrics for all three trained gradient boosting models with different input vectors and for their combined weighted mean prediction. حسب Alexander Kroll (9304225)

الموضوعات:

Motif Code Theory Figshare Documentation حسب William Terry (22279591)

الموضوعات: