🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents ...

the developed neural network model allows achieving identification accuracy of about 0.95, which is comparable with the most modern means of a similar purpose. The necessity of further research on ...

The integration of distributed generations (DGs) and time-varying loads introduces significant uncertainties in distribution network planning. Existing methods often rely on simplified scenarios (e.g.

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, Sigmoid, and more. Perfect for machine learning enthusiasts and AI ...

Los datos se relacionan con campañas de marketing directo (llamadas telefónicas) de una entidad bancaria portuguesa. El objetivo de la clasificación es predecir si el cliente suscribirá un depósito a ...

We close the loop by using some decision-making and algorithms with an easy-to-use perceptron neural network to guide the inspector or engineer without spending too much time or data analysis." The ...

We close the loop by using some decision-making and algorithms with an easy-to-use perceptron neural network to guide the inspector or engineer without spending too much time or data analysis." ...

Training is performed in learner phase using Logistic Regression, Decision Tree, Naïve Bayes, Support Vector Machine, and Random Forest and Multilayer perceptron. Multilayer perceptron is used in meta ...