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classifications » classification (Expand Search)
purification » publication (Expand Search), modification (Expand Search)
modifications » modification (Expand Search)
certification » verification (Expand Search), identification (Expand Search), stratification (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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145
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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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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148
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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149
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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153
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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CERTIFICATION OF PRACTICING CIVIL ENGINEERS IN SAUDI ARABIA: AN OPINION SURVEY
Published 2020“…As the demographic composition of the engineering body in Saudi Arabia comprises a multinational work force who have different academic backgrounds and professional preparedness and who can practice their professions without a license or certificate, it focuses a need for adopting a policy on certification of professional engineers working in Saudi Arabia. …”
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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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Robust Polynomial Classifier Using L1-norm minimization
Published 2010Subjects: Get full text
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