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Showing 201 - 220 results of 328 for search '(( element means algorithm ) OR ((( data processing algorithm ) OR ( data fitting algorithm ))))', query time: 0.10s Refine Results
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    A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

    Published 2023
    “…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
  6. 206

    Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

    Published 2020
    “…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …”
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    Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials by Ghouti, Lahouari

    Published 1997
    “…However, the improved performance is achieved at the expense of higher computational complexity and data requirements.…”
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    A multi-pretraining U-Net architecture for semantic segmentation by Cagla Copurkaya (22502042)

    Published 2025
    “…The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …”
  11. 211

    A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security by S. Shitharth (12017480)

    Published 2023
    “…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …”
  12. 212

    EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach by Muhammad Adeel Asghar (6724982)

    Published 2019
    “…The BoDF model achieves 93.8% accuracy in the SEED data set and 77.4% accuracy in the DEAP data set, which is more accurate compared to other state-of-the-art methods of human emotion recognition.…”
  13. 213

    Recovery of business intelligence systems by Haraty, Ramzi A.

    Published 2018
    “…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
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  14. 214

    An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services by ALBARGHOTHI, ALI BAHA’EDDIN

    Published 2018
    “…After that, the Natural Language Processing (NLP) tasks are used to process the services’ profiles and extract the ontological keywords. …”
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  15. 215

    A novel few shot learning derived architecture for long-term HbA1c prediction by Marwa Qaraqe (10135172)

    Published 2024
    “…Short-term CGM time-series data are processed using both novel image transformation approaches, as well as using conventional signal processing methods. …”
  16. 216

    Automated skills assessment in open surgery: A scoping review by Hawa Hamza (17707224)

    Published 2025
    “…We highlight the progress in automated skills assessment during open surgery with advancements in sensor technology, and AI algorithms with high prediction accuracies. Further developments in data acquisition and processing methods are essential to facilitate clinical implementation of such technologies.…”
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    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS by Tekli, Joe

    Published 2018
    “…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …”
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    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
    “…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …”
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