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  1. 441

    Film Recommender System Menggunakan Metode Neural Collaborative Filtering by Ni’mah Khoiriyah Ayyiyah, Retno Kusumaningrum, Rismiyati Rismiyati

    Published 2023-07-01
    “…Penelitian ini menggunakan pendekatan prediksi Collaborative Filtering dengan mengimplementasikan deep learning berdasarkan teknologi Neural Collaborative Filtering pada dataset MovieLens. …”
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  2. 442
  3. 443

    Fuzzy Filtering Method for Color Videos Corrupted by Additive Noise by Volodymyr I. Ponomaryov, Hector Montenegro-Monroy, Luis Nino-de-Rivera, Heydy Castillejos

    Published 2014-01-01
    “…The proposed technique consists of three principal filtering steps: spatial, spatiotemporal, and spatial postprocessing. …”
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  4. 444

    ℒ-Fuzzy Cosets of ℒ-Fuzzy Filters of Residuated Multilattices by Pierre Carole Kengne, Blaise Bleriot Koguep Njionou, Daquin Cèdric Awouafack, Luc Eméry Diékouam Fotso

    Published 2022-01-01
    “…This paper mainly focuses on building the ℒ-fuzzy filter theory of residuated multilattices. Firstly, we introduce the concepts of ℒ-fuzzy filter and ℒ-fuzzy deductive system of residuated multilattices. …”
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  5. 445

    Wastewater Treatment with Geotextile Filters: The Role in Permeability and Pollutant Control by Maria Vitoria Morais, Leonardo Marchiori, Josivaldo Sátiro, Antonio Albuquerque, Victor Cavaleiro

    Published 2025-01-01
    “…The application of geotextiles as filter materials in various systems, such as biofilters, wetlands, and wastewater treatment plants, has grown significantly in recent years. …”
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  8. 448

    Non-target feature filtering for weakly supervised semantic segmentation by Xuesheng Zhou, Yan Li, Guitao Cao, Wenming Cao

    Published 2024-12-01
    “…To address this issue, we propose a non-target feature filtering class activation mapping (NFF-CAM) for WSSS, which can reduce non-target semantic signals and generate higher-quality localization maps. …”
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  9. 449

    METHOD OF FILTER SELECTION FOR SPECLE-NOISE SMOOTHING IN SAR IMAGES by V. V. Starovoitov

    Published 2016-09-01
    “…It allows selecting the filters with better speckle noise smoothing effect. …”
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  10. 450
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  12. 452

    Passé et avenir du théâtre de science-fiction by Susan Gray, Christos Callow Jr.

    Published 2021-12-01
    “…The article focuses on the past history and future developments of science fiction theatre. It reports that science fiction theatre has existed unofficially since the 19th century and discusses several theatrical plays including R.U.R, Back to Methuselah, and Endgame. …”
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  13. 453
  14. 454

    A Partition Spatial Filtering Method for Acoustic Array Configuration by Zhihong Liu, Xilong Zhang, Zunmin Liu, Chuijie Yi, Ming Ma

    Published 2021-01-01
    “…The problem of array configuration is formulated into a position matrix determined by introducing partition spatial filtering. Irregular coaxial ring grid spacings and partition filtering conditions are suggested to control array spatial resolution. …”
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  15. 455

    Using the Kirton Adaption-Innovation Inventory to Strengthen Extension Programs by Alexa J. Lamm, Ricky W. Telg

    Published 2015-10-01
    “…(Photo credit: Rawpixel Ltd/iStock/Thinkstock.com) AEC573/WC235: Using the Kirton Adaption-Innovation Inventory to Strengthen Extension Programs (ufl.edu) …”
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  16. 456
  17. 457

    \(\mathcal{L}\)−weakly 1−Absorbing Prime Ideals and Filters by Natnael Teshale Amare

    Published 2024-11-01
    Subjects: “…weakly 1−absorbing prime filter…”
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  18. 458
  19. 459

    Adaptive fuzzy filter algorithm for LEO communication channel estimation by ZHUO Yong-ning, ZHU Li-dong, WU Shi-qi

    Published 2006-01-01
    “…A novel adaptive LMS filter algorithm based on fuzzy rules was proposed.Through building many fuzzy sets over the space of channel gained value and the increment value of channel gain,in addition to the setting of fuzzy rules,an adaptive algorithm incorporated with human experience was set up,which was adaptive to the time<sub>v</sub>aring character-istics of LEO satellite channel.The results of the simulation validate the algorithm.…”
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  20. 460