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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
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data model » data models (Expand Search), data modeling (Expand Search)
data code » data came (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data model » data models (Expand Search), data modeling (Expand Search)
data code » data came (Expand Search)
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Comparison results of prediction model with single algorithm and combination algorithm.
Published 2025Subjects: -
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”
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PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset.
Published 2025Subjects: -
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ATF-DF-WA Algorithm Experimental Code
Published 2025“…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.…”
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Code.
Published 2025“…This study aimed to identify the determinants of C-section delivery and develop an ML-based predictive model using data from the Bangladesh Demographic and Health Survey (BDHS) 2022. …”
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Evaluation of model aggregation algorithms.
Published 2024“…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …”
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Code and data.
Published 2025“…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…”
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Hyperspectral Camouflage Detection Dataset and Codes
Published 2025“…Comparative evaluation demonstrated that the SPXY-ResNet model achieved the best performance, with 99.17% accuracy, 98.89% precision, and 98.82% recall, while maintaining low training time. …”
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