Search Results - (( gram extraction method algorithm ) OR ( spider optimization strategy algorithm ))*

Search alternatives:

  • Showing 1 - 11 results of 11
Refine Results
  1. 1
    Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system

    Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system by Ekinci, Serdar, Izci, Davut, Turkeri, Cebrail, Mohd Ashraf, Ahmad

    Published 2024
    “…Additionally, this study benchmarks the SWO-tuned controller against recently reported control strategies that were optimized using different algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition

    An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition by Al-Qammaz, Abdullah Yousef Awwad

    Published 2019
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Classification of gram-positive and gram-negative bacterial images based on machine learning algorithm

    Classification of gram-positive and gram-negative bacterial images based on machine learning algorithm by Son Ali, Akbar, Kamarul Hawari, Ghazali, Doni, Subekti, Yudhana, Anton, Liya Yusrina, Sabila, Wahyu Sapto, Aji, Habsah, Hasan

    Published 2022
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  4. 4
    Effective query structuring with ranking using named entity categories for XML retrieval

    Effective query structuring with ranking using named entity categories for XML retrieval by Roko, Abubakar

    Published 2016
    “…The method employs Semantic Tags Extraction (STSE) algorithm to extract semantic tags of an element and Element Enrichment (EERM) algorithm to enrich the elements. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Reduced Set Kernel Principal Component Analysis (Rskpca) Algorithm for Palm Print Based Mobile Biometric System

    Reduced Set Kernel Principal Component Analysis (Rskpca) Algorithm for Palm Print Based Mobile Biometric System by Ibrahim, Noor Salwani

    Published 2015
    “…A new approach in feature extraction called Reduced-Set Kernel Principal Component Analysis (RSKPCA) is proposed to speed up the processing in feature extraction. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction

    Intelligent deep machine learning cyber phishing URL detection based on BERT features extraction by Muna Elsadig, Ashraf Osman Ibrahim Elsayed, Shakila Basheer, Manal Abdullah Alohali, Sara Alshunaifi, Haya Alqahtani, Nihal Alharbi, Wamda Nagmeldin

    Published 2022
    “…Next, a deep convolutional neural network method was utilised to detect phishing URLs. It was used to constitute words or n-grams in order to extract higher-level features. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  7. 7
    ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models

    ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models by Ong, Song Quan, Nathan Pinoy, Lim, Min Hui, Kim Bjerge, Francisco Javier Peris-Felipo, Rob Lind, Jordan P. Cuff, Samantha M. Cook, Toke Thomas Høye

    Published 2025
    “…Using different strategies to place the arthropods on a charge-coupled device (CCD) flatbed scanner and optimized settings that balance processing time and image quality, we captured high-resolution images of various arthropods and obtained morphological details with resolution and magnification similar to a stereomicroscope. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis

    Improvement on rooftop classification of worldview-3 imagery using object-based image analysis by Norman, Masayu

    Published 2019
    “…Therefore, the LiDAR derived data were combined with WV-3 image using different fusion methods such as layer stacking (LS), Gram–Schmidt (GS), and PC spectral sharpening (PCSS). …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study

    Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study by Mujtaba, Ghulam, Shuib, Liyana, Raj, Ram Gopal, Rajandram, Retnagowri, Shaikh, Khairunisa

    Published 2018
    “…Methods: For experiments, the autopsy reports belonging to eight different causes of death were collected, preprocessed and converted into 43 master feature vectors using various schemes for feature extraction, representation, and reduction. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Semi-supervised learning for sentiment classification with ensemble multi-classifier approach

    Semi-supervised learning for sentiment classification with ensemble multi-classifier approach by Aribowo, Agus Sasmito, Basiron, Halizah, Abd Yusof, Noor Fazilla

    Published 2022
    “…The research went through pre-processing, vectorization, and feature extraction using TF-IDF and n-grams. Support Vector Machine (SVM) or Random Forest for tokenization was used to separate unigram, bigram, and trigram in model generation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Design and simulation of hyperspectral lens system for a flood monitoring CubeSat

    Design and simulation of hyperspectral lens system for a flood monitoring CubeSat by Rosadi, Audrey, Pebrianti, Dwi, Bayuaji, Luhur, Riyanto, Indra

    Published 2026
    “…However, current optical remote sensing methods to monitor floods, particularly multispectral imaging (MSI), are limited by low spectral resolution and rely heavily on complex post-processing algorithms to extract accurate flood information, leading to higher computational costs and reduced efficiency. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:

Search Tools: