Presentation_1_Low Back Pain Exacerbation Is Predictable Through Motif Identification in Center of Pressure Time Series Recorded During Dynamic Sitting.pdf حسب Ziheng Wang (3337812)

"…The performance of the SSA-PNN optimization was better than that of the other algorithms. …"

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants حسب Pengcheng Jiao (8017532)

"…An artificial intelligence inverse design model is subsequently developed by integrating an evolutionary algorithm with a neural network. This model allows for the automatic determination of the optimal microstructure for thermo-metamaterials with desired performance,i.e., target bending stiffness. …"

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants حسب Pengcheng Jiao (8017532)

"…An artificial intelligence inverse design model is subsequently developed by integrating an evolutionary algorithm with a neural network. This model allows for the automatic determination of the optimal microstructure for thermo-metamaterials with desired performance,i.e., target bending stiffness. …"

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants حسب Pengcheng Jiao (8017532)

"…An artificial intelligence inverse design model is subsequently developed by integrating an evolutionary algorithm with a neural network. This model allows for the automatic determination of the optimal microstructure for thermo-metamaterials with desired performance,i.e., target bending stiffness. …"

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants حسب Pengcheng Jiao (8017532)

"…An artificial intelligence inverse design model is subsequently developed by integrating an evolutionary algorithm with a neural network. This model allows for the automatic determination of the optimal microstructure for thermo-metamaterials with desired performance,i.e., target bending stiffness. …"

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants حسب Pengcheng Jiao (8017532)

"…An artificial intelligence inverse design model is subsequently developed by integrating an evolutionary algorithm with a neural network. This model allows for the automatic determination of the optimal microstructure for thermo-metamaterials with desired performance,i.e., target bending stiffness. …"

Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants حسب Pengcheng Jiao (8017532)

"…An artificial intelligence inverse design model is subsequently developed by integrating an evolutionary algorithm with a neural network. This model allows for the automatic determination of the optimal microstructure for thermo-metamaterials with desired performance,i.e., target bending stiffness. …"

Table1_Prediction of an epidemic spread based on the adaptive genetic algorithm.XLSX حسب Bolun Chen (4401628)

"…Based on the susceptible–infected–recovered (SIR) propagation model, this work proposes the susceptible–exposed–infected–recovered–dead (SEIRD) model by introducing a specific medium having many changes such as the self-healing rate, lethality rate, and re-positive rate, considering the possibility of virus propagation through objects. Finally, this work simulates and analyzes the propagation process of nodes in different states within this model, and compares the model prediction results optimized by the adaptive genetic algorithm with the real data. …"

Synthetic walking data results. حسب Keenon Werling (17512156)

"…The optimization approach requires approximately 3-5 minutes to determine a subject’s skeleton dimensions and motion kinematics, and less than 30 minutes of computation to also determine dynamically consistent skeleton inertia properties and fine-tuned kinematics and kinetics, compared with about one day of manual work for a human expert. …"

Supplementary file 1_Predicting location emotions of users considering multidimensional spatio-temporal dependencies.zip حسب Wei Jiang (14986)

"…<p>Emotion has significant spatio-temporal characteristics, and predicting the spatio-temporal changes in emotion is an important premise for monitoring the emotional state of urban residents. Most prediction methods focus on the prediction of emotion in time series without considering the spatial properties of emotion. …"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"