بدائل البحث:
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
based identification » wide identification (توسيع البحث), early identification (توسيع البحث), _ identification (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary case » binary mask (توسيع البحث), binary image (توسيع البحث), primary case (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
case based » made based (توسيع البحث), game based (توسيع البحث), rate based (توسيع البحث)
data based » data used (توسيع البحث)
identification algorithm » classification algorithm (توسيع البحث), detection algorithm (توسيع البحث)
based identification » wide identification (توسيع البحث), early identification (توسيع البحث), _ identification (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary case » binary mask (توسيع البحث), binary image (توسيع البحث), primary case (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
case based » made based (توسيع البحث), game based (توسيع البحث), rate based (توسيع البحث)
data based » data used (توسيع البحث)
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MSE for ILSTM algorithm in binary classification.
منشور في 2023"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"
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Homogeneity and Structure Identification in Semiparametric Factor Models
منشور في 2020"…In addition, a binary segmentation based algorithm is also developed to identify the homogeneous groups in loading parameters, producing more efficient estimation by pooling information across units within the same group. …"
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Confusion metrics using LR-HaPi algorithm.
منشور في 2024"…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"
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Confusion metrics using MNB-HaPi algorithm.
منشور في 2024"…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"
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Confusion metrics using DT-HaPi algorithm.
منشور في 2024"…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"
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Confusion metrics using SVM-HaPi algorithm.
منشور في 2024"…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"
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Proposed framework for propaganda identification.
منشور في 2024"…This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"
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Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model
منشور في 2024"…To this end, we propose a homogeneity identification algorithm based on binary segmentation. …"
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
منشور في 2019"…Advances in metagenomic sequencing availability, speed, and decreased cost offer the opportunity to supplement or even replace culture-based identification of pathogens with DNA sequence-based diagnostics. …"
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