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classifications » classification (Expand Search)
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justification » quantification (Expand Search), purification (Expand Search), gasification (Expand Search)
classifications » classification (Expand Search)
modifications » modification (Expand Search)
justification » quantification (Expand Search), purification (Expand Search), gasification (Expand Search)
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141
A Survey on Hybrid Free Space Optical and Radio Frequency Systems: Classification, Progress, Observations, and Challenges
Published 2025“…This survey paper provides a comprehensive overview of hybrid FSO/RF systems, presenting a classification framework of the different hybrid setups proposed in the literature, and identifying the main design objectives of hybrid FSO/RF systems. …”
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EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis
Published 2020“…The strength and directionality of information flow in the connectivity network by RWTE/PDC and the GTA measures significantly decrease with vigilance decrement, p<0.05. The classification results show that the proposed methods outperform other related and competitive methods available in the literature and achieve 100% accuracy in subject-dependent and above 89% in subject-independent level in each of the four frequency bands. …”
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
Published 2022Subjects: “…Salak classification…”
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Markisa/Passion Fruit Image Classification Based Improved Deep Learning Approach Using Transfer Learning
Published 2022“…In the proposed work, we also inspected two transfer learning methods in the classification of markisa which are VGG-16 and InceptionV3. …”
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Experimenting with evolutionary meta-heuristics for state justification in sequential ATPG
Published 2001Get full text
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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Published 2023“…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …”
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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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149
Fast Text Classification using Lean Gradient Descent Feed Forward Neural Network for Category Feature Augmentation
Published 2024“…Text classification is a key task of the Natural Language Processing (NLP) field that aims at assigning predefined categories to textual documents. …”
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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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Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…In this work, a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification is proposed. A General Algorithm is employed, to engineer state justification sequences vector by vector. …”
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A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification
Published 2025“…<p>Hyperspectral imaging (HSI) plays a pivotal role in remote sensing, enabling precise material identification through spectral data across many bands. …”
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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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Robust Polynomial Classifier Using L1-norm minimization
Published 2010Subjects: Get full text
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