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verification » purification (Expand Search), diversification (Expand Search), modification (Expand Search)
modifications » modification (Expand Search)
classifications » classification (Expand Search)
verification » purification (Expand Search), diversification (Expand Search), modification (Expand Search)
modifications » modification (Expand Search)
classifications » classification (Expand Search)
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241
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Published 2023“…The proposed DCDD_Net model is trained and evaluated on 20 publicly available benchmark chest disease datasets of CXR, CT scan, and cough sound images. The classification performance of the DCDD_Net is compared with four baseline models, i.e., InceptionResNet-V2, EfficientNet-B0, DenseNet-201, and Xception, as well as state-of-the-art (SOTA) classifiers. …”
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General Classification and Comprehensive Performance Assessment of Multi-Objective DC Voltage Control in Multi-Terminal HVDC Networks
Published 2021“…In this paper, a generalized classification for the DC voltage control methods in an MTDC system is delivered. …”
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Recent progress and challenges on adsorptive membranes for the removal of pollutants from wastewater. Part I: Fundamentals and classification of membranes
Published 2021“…Their classifications can be established based on either the type of the adsorbent used or their polymers matrix. …”
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Enhancing Arabic Offensive Tweet Classification: An Ensemble Approach Integrating AraBERT, Neural Networks, and LSTM Models
Published 2023Subjects: “…Arabic offensive classification, preprocessing techniques, AraBERT, AraBERT preprocessing, ensemble methodology, deep learning, neural networks, LSTM, natural language processing, emoji interpretation…”
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A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification
Published 2025“…The proposed model addresses the challenges of spectral feature extraction and enhances classification accuracy by leveraging advanced deep learning techniques. …”
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
Published 2025“…Our model achieved an average classification accuracy of 97.25 percent, exceeding current leading techniques. …”
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Empirical Evaluation of Extended Finite State Machine Test Suites
Published 2022Subjects: “…Software engineering/software/program verification…”
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Robust Polynomial Classifier Using L1-norm minimization
Published 2010Subjects: Get full text
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Physical and chemical properties of black carbon and organic matter from different combustion and photochemical sources using aerodynamic aerosol classification
Published 2021“…This suggests that the effect moisture has on the organic chemical profile of wood burning emissions is through changing the durations of the different phases of the burn cycle, not through the chemical modification of the individual phases. In this study, the incandescence signal of a Single Particle Soot Photometer (SP2) was calibrated with three different types of BC particles and compared with that from an Aquadag standard that is commonly used to calibrate SP2 incandescence to a BC mass. …”
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An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge
Published 2022Subjects: Get full text
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