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  1. 1

    Cyclical hybrid imputation technique for missing values in data sets by Kurban Kotan, Serdar Kırışoğlu

    Published 2025-02-01
    “…Abstract The problem of missing data in data sets is the most important first step to be addressed in the preprocessing phase. …”
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    CNAIS: Performance Analysis of the Clustering of Non-Associated Items Set Techniques by Vinaya Babu Maddala, Mooramreddy Sreedevi

    Published 2023-12-01
    “…The proposed study provides the design and development of the Clustering of Non-Associated Items set (CNAIS) within a transactional database. The development of the algorithm and its application to the data set are described and the results are noted. …”
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    Assessment of Near-Earth Asteroid Deflection Techniques via Spherical Fuzzy Sets by M. Fernández-Martínez, J. M. Sánchez-Lozano

    Published 2021-01-01
    “…The main goal in this study is to apply the spherical fuzzy set version of Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a well-established multicriteria decision-making approach, in the context of planetary defense. …”
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    Mini- FLOTAC Technique as a Diagnostic Tool for Intestinal Parasitosis in Low Intensity Settings by Amany I. Shehata, Sally A. Ezzat, Amel A. El-Sahn, Safaa M. Eassa

    Published 2024-12-01
    “…Moreover, an almost perfect agreement was revealed between the gold standard and the Mini-FLOTAC while an only substantial agreement was detected with FECT. Kato-katz technique failed to diagnose any helminths. Conclusion: Mini-FLOTAC is a good alternative for IPIs diagnosis especially in low intensity settings and in limited resources settings.…”
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    Setting of graded levels of a protein in yeast by a t-degron technique as applied to phosphoglycerate mutase by Katja Heidrich, Dan G Fraenkel

    Published 2002-07-01
    “…Abstract Background Setting of graded levels of a protein for in vivo studies by controlled gene expression has inconveniences, and we here explore the use of the t-degron technique instead. …”
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    Exploring the Effects of Pre-Processing Techniques on Topic Modeling of an Arabic News Article Data Set by Haya Alangari, Nahlah Algethami

    Published 2024-12-01
    “…This research investigates the impacts of pre-processing techniques on the effectiveness of topic modeling algorithms for Arabic texts, focusing on a comparison between BERTopic, Latent Dirichlet Allocation (LDA), and Non-Negative Matrix Factorization (NMF). …”
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    A novel decision-making approach for the selection of best deep learning techniques under logarithmic fractional fuzzy set information by Naseer Ullah, Muhammad Azam, Muhammad Abbas, Wajid Hussain, Asnake Birhanu, Khaled A. Gepreel

    Published 2025-07-01
    “…To facilitate such processes, data representation is crucial, often transitioning from crisp sets to generalized forms like fuzzy sets (FS), introduced by Zadeh. …”
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    Modern Condition Monitoring Systems for Railway Wheel-Set Dynamics: Performance Analysis and Limitations of Existing Techniques by Khakoo Mal, Imtiaz Hussain, Tayab Din Memon, Dileep Kumar, Bhawani Shankar Chowdhry

    Published 2022-06-01
    “…This paper attempts to compare and evaluate the existing state-of-the-art condition monitoring techniques applied for real-time monitoring of railway wheel-set dynamics. …”
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    Gas concentration monitoring techniques by using an infrared photo-acoustic multi-gas analyser and low-cost devices in an open dairy barn by Provvidenza Rita D’Urso, Claudia Arcidiacono, Giovanni Cascone

    Published 2025-05-01
    “…The monitoring optimization was found to be affected by the measurement techniques, the sampling strategy (i.e., sampling frequency, number and position of sampling locations, and set-up of the instrument) and monitoring purposes (i.e., measurement of gas, emission estimation, assessment of mitigation strategies). …”
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