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justification » quantification (Expand Search), purification (Expand Search), gasification (Expand Search)
classifications » classification (Expand Search)
codification » modifications (Expand Search), acidification (Expand Search), notification (Expand Search)
justification » quantification (Expand Search), purification (Expand Search), gasification (Expand Search)
classifications » classification (Expand Search)
codification » modifications (Expand Search), acidification (Expand Search), notification (Expand Search)
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An in vitro study of the interactive effect of 24 binary and ternary mixtures from the GHS classification groups
Published 2005“…An in vitro study of the interactive effect of 24 binary and ternary mixtures from the GHS classification groups. ALTEX, 22, 128.…”
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A Terrain classification system for coseismic landslide hazard analysis: Lebanon, a case study
Published 2014“…To better assess coseismic landslide hazard on a regional scale a new terrain classification system is proposed. First, the landscape is divided into classes based on possible modes of failure, defining kinematically admissible regions, followed by mode-of-failure specific hazard analyses (strength admissibility) within each region. …”
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Binary Classification of 3D Small-Scale Medical Images Using Video Vision Transformers
Published 2025“…The VesselMNIST3d dataset binary classification experiment was implemented by treating the 3D image as video where the third dimension represents the number of frames. …”
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A collection of annotated and harmonized human breast cancer transcriptome datasets, including immunologic classification
Published 2018“…We classified the samples according to different immune based classification systems and integrated this information into the datasets. …”
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AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain
Published 2025Subjects: -
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CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification
Published 2024“…CAT-Net establishes new benchmarks, achieving 99.14% overall accuracy and 94.69% macro F1 score on 5-class arrhythmia classification in the MIT-BIH dataset and 99.58% accuracy with 96.15% macro F1 score for 3-class classification in the INCART dataset.…”
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Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
Published 2015Subjects: Get full text
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A systematic review of text classification research based on deep learning models in Arabic language
Published 2020Subjects: “…Learning management system Neural network algorithms Systematic review Text classification Virtual learning environment…”
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