The four areas of interest to the patients. حسب Anne Lübbeke (3918686)

"…The tool was adapted to various purposes including individual use, group sessions, patient-clinician interaction and surgeon information to complement the preoperative planning. The pre-test patients’ feedback to the tool was unanimously positive. …"

An example of a complication. حسب Anne Lübbeke (3918686)

"…The tool was adapted to various purposes including individual use, group sessions, patient-clinician interaction and surgeon information to complement the preoperative planning. The pre-test patients’ feedback to the tool was unanimously positive. …"

Baseline characteristics. حسب Anne Lübbeke (3918686)

"…The tool was adapted to various purposes including individual use, group sessions, patient-clinician interaction and surgeon information to complement the preoperative planning. The pre-test patients’ feedback to the tool was unanimously positive. …"

Building blocks of the project. حسب Anne Lübbeke (3918686)

"…The tool was adapted to various purposes including individual use, group sessions, patient-clinician interaction and surgeon information to complement the preoperative planning. The pre-test patients’ feedback to the tool was unanimously positive. …"

<b>Psy-Tech LDEM – Volúmenes I y II: Protocolo Psicológico para Misiones Espaciales de Larga Duración (LDEM) y Entornos ICE con Aplicación del Modelo EFQM 2025</b> حسب Héctor Herrera Yuste (21145907)

الموضوعات:

Generative Deep Learning-Aided Design of Flexible Molecular Crystals حسب Chenyang Zhao (533763)

"…A convolutional neural network (CNN) was trained to predict and discriminate the mechanical properties of unknown molecules, based on the data collected from the extant literature and compared with multilayer perceptron (MLP) with backpropagation algorithm. …"

Generative Deep Learning-Aided Design of Flexible Molecular Crystals حسب Chenyang Zhao (533763)

"…A convolutional neural network (CNN) was trained to predict and discriminate the mechanical properties of unknown molecules, based on the data collected from the extant literature and compared with multilayer perceptron (MLP) with backpropagation algorithm. …"

The structure of GBDT. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

Super parameter optimization result. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

Shapley value analysis results. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

The weight optimization process. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

Performance comparison of different models. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

S1 Dataset - حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

Experimental environment. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

The range of hyperparameters. حسب Guomei Cui (20721578)

"…The dataset covers multiple tests of multiple athletes, ensuring the diversity of samples. Secondly, an optimized machine learning algorithm based on decision tree is adopted. …"

Effective connectivity analysis. حسب Akke Mats Houben (21572855)

Oscillatory Field Genesis: The Emergent Architecture of Spacetime, Matter, and Memory حسب Drippy Stone (21218843)

Distinct subpopulations with unique selectivity profiles. حسب Panagiotis Sapountzis (60096)

"…(B) The clustering algorithm identified 3 LIP subpopulations. One exhibited singleton suppression (cluster 1), a second one showed singleton enhancement (cluster 2), and a third one an early enhancement followed by a subsequent suppression (cluster 3). …"

share data.rar حسب jiazheng ma (20551553)

"…</p><p dir="ltr">(2) In developing the NDVI simulation model for ephemeral plants, we integrated multi-source environmental data, incorporating GIS spatial analysis and fully utilizing the factor contribution module of the RF (Random Forest) algorithm and the prediction module of the CNN (Convolutional Neural Network) model, thereby perceiving and extracting local features between ephemeral plants and climate variables.…"

Schematic of our autoencoder-based feature extraction framework. حسب Zahra Rostami (20472226)

"…We repeat this whole step with 16 different random seeds. d) Taking the overlap of the results from all 16 seeds for each subtype, we identify 704, 900, 158, and 865 marker genes for TNBC, HER2-enriched, luminal A and luminal B cancers, respectively. e) The marker genes are examined via two routes: first, multiclass classification using RF; second, assessment of the protein-protein interactions of the marker gene for each subtype separately. …"