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when presented » who presented (Expand Search), work presented (Expand Search), were presented (Expand Search)
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The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input.
Published 2025“…<p>The percentage difference between the weight fraction of the elements reported by the algorithm and ground truth when present in the error in the mass attenuation coefficients used as an input.…”
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Gillespie algorithm simulation parameters.
Published 2024“…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …”
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Characteristics of training algorithms.
Published 2025“…This article presents the design of a hybrid self-learning algorithm to address the above challenges. …”
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Flowchart data balancing algorithm (SMOTE).
Published 2025“…<div><p>Financial fraud detection (FFD) is crucial for ensuring the safety and efficiency of financial transactions. This article presents the Regularised Memory Graph Attention Capsule Network (RMGACNet), an original architecture aiming at improving fraud detection using Bidirectional Long Short-Term Memory (BiLSTM) networks combined with advanced feature extraction and classification algorithms. …”
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The structure diagram of the BS-CP algorithm.
Published 2024“…In this work, we propose BS-CP, a quick and accurate structure to dynamically update the posterior of latent factors when a new observation tensor is received. We first present the BS-CP1 algorithm, which is an efficient implementation using assumed density filtering (ADF). …”
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Data before and after applying SMOTE algorithm.
Published 2025“…<div><p>Financial fraud detection (FFD) is crucial for ensuring the safety and efficiency of financial transactions. This article presents the Regularised Memory Graph Attention Capsule Network (RMGACNet), an original architecture aiming at improving fraud detection using Bidirectional Long Short-Term Memory (BiLSTM) networks combined with advanced feature extraction and classification algorithms. …”
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Explained variance ration of the PCA algorithm.
Published 2025“…A parametric study of the proposed approach is presented. The performance of these spectral moments is checked in Support vector machine and Random forest algorithm. …”
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