Bayesian Network Generator is a Python library for building, analyzing, and visualizing Bayesian Networks. It leverages libraries like pgmpy, numpy, and matplotlib to help create and estimate Bayesian ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It ...
The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and ...
1 Minutia.AI Pte. Ltd., Singapore, Singapore 2 Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy A representation of the cause-effect mechanism is ...
The rapid expansion of higher education has introduced new safety challenges in university laboratories, where fire incidents now represent a critical threat to campus safety. In this paper, we ...
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this ...
heart-disease-bayesian-network-analysis Heart Disease Risk Prediction - Data Detective Project MediMystery Labs - Bayesian Network Analysis A comprehensive data science project that uses Bayesian ...
Abstract: This study presents the Bayesian-Optimized Attentive Neural Network (BOANN), a novel approach enhancing image classification performance by integrating Bayesian optimization with channel and ...
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