يعرض 101 - 120 نتائج من 123 نتيجة بحث عن 'features extraction algorithm', وقت الاستعلام: 0.07s تنقيح النتائج
  1. 101

    BioNetApp: An interactive visual data analysis platform for molecular expressions حسب Ali M. Roumani (18615124)

    منشور في 2019
    "…<h3>Motivation</h3><p dir="ltr">Systems biology faces two key challenges when dealing with large amounts of disparate data produced by different experiments: the integration of results across different experiments, and the extraction of meaningful information from the data produced by these experiments. …"
  2. 102

    Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach حسب Nagendra Prabhu Selvaraj (17542041)

    منشور في 2022
    "…Further, back-off features are extracted from the particular node and all these structures are trained and categorized with a Co-Active Neuro Fuzzy Expert System (CANFES) classifier. …"
  3. 103
  4. 104

    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

    منشور في 2022
    "…Accordingly, a dataset containg 258 data points was extracted from the DFT method to use in machine learning method. …"
  5. 105

    Automatic Detection of High Temperature Hydrogen Attack Defects from Ultrasonic A-scan Signals. حسب Yamani, Ahmed

    منشور في 2020
    "…To test how adequate and representative these sets of A-scan signals are, a basic feature extraction method, coupled with a primitive classifier is shown to distinguish accurately the hydrogen attack from geometrically similar defects.…"
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  6. 106

    Lung nodule classification utilizing support vector machines حسب Mousa, W.A.H.

    منشور في 2002
    "…The SVM classifier is trained with features extracted from 30 nodule images and 20 non-nodule images, and is tested with features out of 16 nodule/non-nodule images. …"
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  7. 107

    Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings حسب Ahmad Yaser Alhaddad (7017434)

    منشور في 2022
    "…We examine the effects of adding different combinations of raw data and extracted features acquired from two sensors on the performance and speed of prediction. …"
  8. 108

    Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models حسب EZZELDIN, KHALED MOHAMED KHALED

    منشور في 2024
    "…The proposed solution involves leveraging a multi-stage machine learning pipeline that first extracts spectral features such as MFCC and mel spectrograms from acoustic speech waves using Fourier transformation. …"
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  9. 109

    Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM) حسب AL SHOUBAKI, HAMZA YOUNIS

    منشور في 2024
    "…It attracted numerous researchers and writers to analyze and extract deep poetic features from various poems. As the literature review shows, there are numerous successful attempts to identify these traits and characteristics such as categorizing the used poetry metric and identifying the poets behind these poems. …"
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  10. 110
  11. 111

    Building power consumption datasets: Survey, taxonomy and future directions حسب Yassine Himeur (14158821)

    منشور في 2020
    "…A total of thirty-one databases are examined and compared in terms of several features, such as the geographical location, period of collection, number of monitored households, sampling rate of collected data, number of sub-metered appliances, extracted features and release date. …"
  12. 112

    Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system حسب Ali Farhat (1461478)

    منشور في 2018
    "…The proposed algorithms are based on feature extraction (vector crossing, zoning, combined zoning, and vector crossing) and template matching techniques. …"
  13. 113

    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning حسب ALFALASI, FARIS Jr

    منشور في 2023
    "…Techniques for natural language processing may be used to text data to extract useful features like sentiment, emotion, and subjectivity. …"
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  14. 114

    Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives حسب Yassine Himeur (14158821)

    منشور في 2021
    "…Specifically, an extensive survey is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted, such as machine learning algorithms, feature extraction approaches, anomaly detection levels, computing platforms and application scenarios. …"
  15. 115

    A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies حسب Farideh Abdollahi (22303153)

    منشور في 2024
    "…The fingerprinting and descriptors are two commonly approach for polymer featurization. In terms of algorithms, <u>neural networks</u> (NNs), random forest (RF), and gaussian process regression (GPR) are among the most extensively applied methods. …"
  16. 116

    Arabic Hotel Reviews Sentiment Analysis Using Deep Learning حسب ALMANSOORI, MOHAMMAD

    منشور في 2023
    "…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …"
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  17. 117

    Arabic text recognition حسب Haraty, Ramzi

    منشور في 2004
    "…In other words, character classification, especially handwritten Arabic characters, depends largely on contextual information, not only on topographic features extracted from these characters.…"
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  18. 118

    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

    منشور في 2025
    "…ObjectiveThis study utilized various classical machine learning techniques, such as support vector machines, k-nearest neighbors, and random forests, in conjunction with a modified deep learning approach called DeepRaman. These algorithms were employed to distinguish and categorize bacterial endotoxins, following appropriate spectral pre-processing, which involved novel filtering techniques and advanced feature extraction methods. …"
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  19. 119

    Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques حسب Amith Khandakar (14151981)

    منشور في 2022
    "…Classical machine learning algorithms with feature engineering and the convolutional neural network (CNN) with image enhancement techniques were extensively investigated to identify the best performing network for classifying thermograms. …"
  20. 120