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21
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021"…A Master of Science thesis in Ccomputer Engineering by Muhammad Arbab Arshad entitled, “Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data”, submitted in August 2021. …"
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doctoralThesis -
22
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23
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24
Deep Learning of Human Posture Image Classification using Convolutional Neural Networks
منشور في 2022"…In this paper a study of deep learning applied to human posture image classification using convolutional neural networks (CNNs) is presented. …"
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25
Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
منشور في 2019"…Finally, a predictive modelling and machine learning technique called the classification and regression tree (CART) was used to predict the adhesive properties of modified asphalt subjected to oxidation. …"
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26
EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach
منشور في 2023"…<p dir="ltr">Electrooculography, also known as EOG, is a technique that is used to calculate the corneo-retinal standing potential, which is located between the cornea and the retina of the human eye. …"
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27
Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS
منشور في 2025"…For a comprehensive evaluation, the acquired fNIRS data are classified using a variety of machine-learning approaches. Linear discriminant analysis (LDA) showed a maximum accuracy of 60%, whereas non-augmented data classified by a convolutional neural network (CNN) provided the highest classification accuracy of 73%. …"
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28
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
منشور في 2023"…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. …"
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29
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30
Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions
منشور في 2025الموضوعات: -
31
Using machine learning for disease detection. (c2013)
منشور في 2016احصل على النص الكامل
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masterThesis -
32
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33
Classification of defects in wooden structures using pre-trained models of convolutional neural network
منشور في 2023"…A smaller dataset of 300 images is separately used for testing purposes. Statistical parameters such as accuracy, precision, recall, and F1-score are computed for each CNN model. …"
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34
COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers
منشور في 2022"…Support vector machine (SVM), random forest (RF), decision tree (DT), and k-nearest neighbor (KNN) were used for classification, while AdaBoost and convolutional neural network (CNN) were utilized for future effects. …"
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35
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36
Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System
منشور في 2021"…Hence, to successfully mitigate the prevalence of DSPN, this study aims to depict an intelligent DSPN severity classifier using Adaptive Neuro Fuzzy Inference System (ANFIS). …"
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37
The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…The framework allows practitioners and researchers to automatically generate different classification models. This research used High-Resolution Orbitrap-based Mass Spectrometers (HRMS) data to create automated prediction models for the first time in literature. …"
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38
Classification of Common Partial Discharge Types in Oil-Paper Insulation Using Acoustic Signals
منشور في 2014"…A Master of Science thesis in Electrical Engineering by Mustafa Harbaji entitled, "Classification of Common Partial Discharge Types in Oil-Paper Insulation Using Acoustic Signals," submitted in February 2014. …"
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doctoralThesis -
39
An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge
منشور في 2022"…This paper proposes an IoT architecture that uses deep learning on edge devices to convey animal classification results to a mobile app using the LoRaWAN low-power, wide-area network. …"
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40