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model implementation » world implementation (Expand Search), time implementation (Expand Search), policy implementation (Expand Search)
python model » motion model (Expand Search), action model (Expand Search), python tool (Expand Search)
model implementation » world implementation (Expand Search), time implementation (Expand Search), policy implementation (Expand Search)
python model » motion model (Expand Search), action model (Expand Search), python tool (Expand Search)
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Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education
Published 2025“…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”
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Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence"
Published 2025“…The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…”
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Effect of <i>|Δd</i><sub><i>n</i></sub><i>|</i> perturbation on 3D modeling.
Published 2019Subjects: -
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Predictions, observations and residuals of Monod model fitted to backscatter data.
Published 2022Subjects: -
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Distribution of <i>|Δd</i><sub><i>n</i></sub><i>|</i> and <i>σ</i><sub><i>MOD</i></sub> values.
Published 2019Subjects: -
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Perceptron python code
Published 2025“…<p dir="ltr">Perceptron Python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”
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SVM python code
Published 2025“…<p dir="ltr">SVM python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”
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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
Published 2020“…<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”.…”
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Experimental results for solar melting of zinc metal using multi-facet parabolic dish and a cavity receiver
Published 2024“…</p> <p>Experiments were conducted, each with a unique set of environmental conditions:</p> <ol> <li>Experiment 1 – 26<sup>th</sup> of July 2022 = “Exp 1_26072022”</li> <li>Experiment 2 – 04t of August 2022= “Exp 2_04082022”</li> <li>Experiment 3 – 16<sup>th</sup> of August 2022= “Exp 3_16082022”</li> <li>Experiment 4 – 21<sup>st</sup> of August 2022= “Exp 4_21082022”</li> <li>Experiment 5 – 5<sup>th</sup> 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. …”
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