Algorithmic description of the plasticity model, based on the algorithm proposed in [30]. حسب Younes Bouhadjar (12902755)

الموضوعات:

Concept and design process of the FEM-DQN algorithm for the SC optimal design. حسب Chang Soon Kim (17480874)

Flowchart of the DQN algorithm for the SC optimal design. حسب Chang Soon Kim (17480874)

Design parameters of the FEM-DQN algorithm for the SC design. حسب Chang Soon Kim (17480874)

ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Algorithms used in this study. حسب Daniel Sanchez-Gomez (19065975)

"…Our results showed that decisión-tres based classifiers outperformed other classification logics given the discriminative importance of some chemical elements in determining the mineral phase, which fits particularly well with the decision-making process of this type of model. …"

Prediction performance for a sequence set with 10 overlapping elements. حسب Younes Bouhadjar (12902755)

الموضوعات:

datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf حسب Santiago Hernández-Orozco (5070209)

"…In an algorithmic space the order of its element is given by its algorithmic probability, which arises naturally from computable processes. …"

datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip حسب Santiago Hernández-Orozco (5070209)

"…In an algorithmic space the order of its element is given by its algorithmic probability, which arises naturally from computable processes. …"

datasheet1_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.pdf حسب Santiago Hernández-Orozco (5070209)

"…In an algorithmic space the order of its element is given by its algorithmic probability, which arises naturally from computable processes. …"

datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip حسب Santiago Hernández-Orozco (5070209)

"…In an algorithmic space the order of its element is given by its algorithmic probability, which arises naturally from computable processes. …"

AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms حسب I. de Zarza (17378452)

"…Within this scope, the current thesis dives into the multifaceted applications of Large Language Models (LLMs), Deep Learning (DL) techniques, and Optimization Algorithms within the realm of these autonomous systems. …"

Description of the network model. حسب Younes Bouhadjar (12902755)

الموضوعات:

Model and simulation parameters. حسب Younes Bouhadjar (12902755)

الموضوعات:

Asynchronous irregular firing in a (hypothetical) network processing multiple sequences in parallel. حسب Younes Bouhadjar (12902755)

الموضوعات:

Data_Sheet_1_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.CSV حسب Denise Reimann (7213364)

"…In this work, we suggest a new approach to develop microstructure-sensitive, yet flexible and numerically efficient macroscopic material models by using micromechanical simulations for training Machine Learning (ML) algorithms to capture the mechanical response of various microstructures under different loads. …"

Data_Sheet_2_Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations.pdf حسب Denise Reimann (7213364)

"…In this work, we suggest a new approach to develop microstructure-sensitive, yet flexible and numerically efficient macroscopic material models by using micromechanical simulations for training Machine Learning (ML) algorithms to capture the mechanical response of various microstructures under different loads. …"

Sketch of the task and the learning protocol. حسب Younes Bouhadjar (12902755)

الموضوعات:

Optimization process and results of genetic algorithm (GA). حسب Tan Bo (18320096)

Time resolved visualization of the learning dynamics. حسب Younes Bouhadjar (12902755)

الموضوعات: