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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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Design and Development of an Autonomous Caged Drone for Leak Detection in HVAC Ducts
Published 2021Subjects: Get full text
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Evaluating the Effectiveness of a Behavioural Training Programme for Primary School Teachers in Al Dhafra Private Schools to Modify the Behaviour of Students With ASD
Published 2024Subjects: “…Autism Spectrum Disorder, behavioural modification, primary school teachers, inclusive education, student behaviour…”
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Robust Polynomial Classifier Using L1-norm minimization
Published 2010Subjects: Get full text
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Defined Clinical Classifications Are Associated with Outcome of Patients with Anatomically Resectable Pancreatic Adenocarcinoma Treated with Neoadjuvant Therapy
Published 2012“…Background We previously introduced a classification system for patients with localized pancreatic adenocarcinoma that integrates assessments of tumor anatomy, cancer biology, and patient physiology. …”
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Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
Published 2022“…The multilayer perceptron (MLP) classifier along with the features extracted from thermogram images showed an accuracy of 90.1% in multi-class classification, which outperformed the literature-reported performance metrics on this dataset.…”
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An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models
Published 2020“…In the classification phase, deep features are extracted and supplied to the number of classifiers such as KNN, DT, Ensemble, softmax, and NB to analyze the classification results for the selection of best classifiers. …”
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A Convolutional Neural Network-Based Framework for Classification of Protein Localization Using Confocal Microscopy Images
Published 2022Subjects: “…Human protein atlas image classification…”