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81
Intelligent Fusion of Deep Features for Improved Waste Classification
Published 2020“…To achieve reliable waste classification capability, we propose a novel approach, that we name double fusion, which optimally combines multiple deep learning models using feature and score-level fusion methods. …”
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82
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification
Published 2021“…<p dir="ltr">Sentiment Analysis (SA) aims to extract useful information from online Unstructured User-Generated Contents (UUGC) and classify them into positive and negative classes. …”
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84
Review on classification of resonant converters for electric vehicle application
Published 2021“…To overcome these limitations, resonant converters are popularly used in chargers of electric vehicles (EVs). However, the detailed classification of resonant converters used in EVs is not sufficiently discussed in the literature. …”
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Investigation of Deep Learning Models for Vehicle Damage Classification
Published 2023“…This paper presents a study of Deep Learning models of convolution neural networks (CNN) applied to vehicle damage classification (VDC). Number of real-world domains may benefit from the proposed solution such as: car rental, auto dealerships, auto insurance businesses, etc. …”
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86
Comparative Study on Arabic Text Classification: Challenges and Opportunities
Published 2022“…Based on the reviewed researches, SVM and Naive Bayes were the most widely used classifiers for Arabic text classification, while more effort is needed to develop and to implement flexible Arabic text classification methods and classifiers.…”
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87
A Deep Learning Framework for the Classification of Brazilian Coins
Published 2023“…The proposed model has achieved a classification accuracy of 98.34% for the classification of Brazilian coins.…”
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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
Published 2020“…In order to improve the performance of the proposed classification framework, instead of using the prevailing concept of utilizing a single satellite imagery, both Sentinel-2 and Planet-Scope imageries are stacked together to assist in providing more diverse features to the proposed classification framework. …”
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91
AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite
Published 2022“…Finally, our system also uses the collective user classification data to generate spatiotemporal analytics about regional and seasonal disease trends, making these analytics accessible to all system users to increase awareness of global agricultural trends.…”
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
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Supervised term-category feature weighting for improved text classification
Published 2022“…Text classification is a central task in Natural Language Processing (NLP) that aims at categorizing text documents into predefined classes or categories. …”
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96
On the Performance of Time Frequency Distributions in A-Scan Signals Classification
Published 2020“…We show that the means and spreads extracted from such signals can be used as robust features for classification of A-scans signals. …”
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Classification, purpose, enablers of lean dimensions at automotive manufacturing industry
Published 2018Get full text
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98
DCT-Based Channel Attention for Multivariate Time Series Classification
Published 2025“…<p dir="ltr">This article introduces a novel DCT-based channel attention (DCA) mechanism for time series classification (TSC) using convolutional neural networks (CNNs). …”
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99
Classification of Cognitive Workload Levels under Vague Visual Stimulation
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100
A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
Published 2025“…This study reviews the current deep-learning techniques used for monitoring and classification of the seagrass. …”