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Showing 121 - 140 results of 1,320 for search '"\"((\\"source selection functions\\") OR ((\\"resource OR \"resourcess) selection function\\"))\""', query time: 0.26s Refine Results
  1. 121
  2. 122

    CERTAINTY/UNCERTAINTY AS GRAMMATICAL AND AS A HIDDEN FUNCTIONAL-SEMANTIC CATEGORY by Hanna M. Udovichenko

    Published 2019-06-01
    “…For the pair of languages being studied, Ukrainian (source language, non-article) and English (target language, article) were selected. …”
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    Article
  3. 123

    Functionalized hydrogel-based colorimetric sensor for Cu2+ detection by Minh-Kha Nguyen, Chau-Nha-Trang Nguyen, Khanh-Binh Vo

    Published 2025-01-01
    “…This functionalized hydrogel matrix sensor highlights a promising potential for environmental safety applications.…”
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    Article
  4. 124

    Venturing Into the Unknown: The Importance of Variable Selection When Modelling Alien Species Under Non‐Analogue Climatic Conditions by Tom Vorstenbosch, Franz Essl, Bernd Lenzner, Johannes Wessely, Stefan Dullinger

    Published 2024-10-01
    “…Based on global occurrence data, we fitted SDMs as functions of seven bioclimatic variable sets that only differed in the identity of two temperature variables. …”
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    Article
  5. 125
  6. 126

    Optimizing Hyperspectral Desertification Monitoring Through Metaheuristic-Enhanced Wavelet Packet Noise Reduction and Feature Band Selection by Weichao Liu, Jiapeng Xiao, Rongyuan Liu, Yan Liu, Yunzhu Tao, Tian Zhang, Fuping Gan, Ping Zhou, Yuanbiao Dong, Qiang Zhou

    Published 2025-07-01
    “…We applied Particle Swarm Optimization (PSO) to fine-tune the Wavelet Packet (WP) decomposition levels, thresholds, and wavelet basis function, ensuring optimal spectral decomposition and reconstruction. …”
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    Article
  7. 127

    Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

    Published 2025-07-01
    “…To overcome these challenges, this paper proposes a Multi-Adaptive Functional Neural Network (Multi-AdaFNN), a novel method that integrates functional data analysis with deep learning techniques. …”
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    Article
  8. 128
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  10. 130

    Phage display of cDNA libraries: enrichment of cDNA expression using open reading frame selection by Peggy Ho Faix, Michael A. Burg, Michelle Gonzales, Edward P. Ravey, Andrew Baird, David Larocca

    Published 2004-06-01
    “…The high level of cDNA expression obtained by ORF selection suggests that ORF-enriched phage cDNA libraries prepared by these methods will be useful as functional genomics tools for identifying natural ligands from various source tissues.…”
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    Article
  11. 131
  12. 132

    Cosmological Evolution of Fast Radio Bursts and the Star Formation Rate by Sujay Champati, Vahé Petrosian

    Published 2025-01-01
    “…As is the case for all extragalactic sources, we are dealing with data that are truncated by observational selection effects, the most important being the flux limit, which introduces the so-called Eddington-Malmquist bias. …”
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    Article
  13. 133

    Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment by David B. Olawade, David B. Olawade, David B. Olawade, Ojima Z. Wada, Bamise I. Egbewole, Oluwaseun Fapohunda, Abimbola O. Ige, Sunday Oluwadamilola Usman, Olawale Ajisafe

    Published 2024-10-01
    “…The review identifies several promising nanomaterials, such as graphene oxide, carbon nanotubes, and metal-organic frameworks, which exhibit high surface areas, tunable surface chemistries, and excellent adsorption capacities. Surface functionalization with specific functional groups (e.g., carboxyl, amino, thiol) significantly enhances the selectivity for target heavy metal ions. …”
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    Article
  14. 134

    Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

    Published 2025-08-01
    “…In addition to standard ocean climate indicators such as El Niño or the Indian Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). …”
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    Article
  15. 135

    A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection. by George Nicholson, Mattias Rantalainen, Jia V Li, Anthony D Maher, Daniel Malmodin, Kourosh R Ahmadi, Johan H Faber, Amy Barrett, Josine L Min, N William Rayner, Henrik Toft, Maria Krestyaninova, Juris Viksna, Sudeshna Guha Neogi, Marc-Emmanuel Dumas, Ugis Sarkans, MolPAGE Consortium, Peter Donnelly, Thomas Illig, Jerzy Adamski, Karsten Suhre, Maxine Allen, Krina T Zondervan, Tim D Spector, Jeremy K Nicholson, John C Lindon, Dorrit Baunsgaard, Elaine Holmes, Mark I McCarthy, Chris C Holmes

    Published 2011-09-01
    “…Two of the three hit regions lie within haplotype blocks (at 2p13.1 and 10q24.2) that carry the genetic signature of strong, recent, positive selection in European populations. Genes NAT8 and PYROXD2, both with relatively uncharacterized functional roles, are good candidates for mediating the corresponding mQTL associations. …”
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    Article
  16. 136

    Statistically Optimized Near-Field Acoustic Holography Using Prolate Spheroidal Wave Functions by Xuxin Zhang, Jingjun Lou, Jinfang Lu, Ronghua Li, Shijian Zhu

    Published 2023-01-01
    “…Near-field acoustic holography (NAH) is an effective tool for realizing accurate sound field reconstruction in three-dimensional space on the prerequisite that appropriate elementary wave functions are selected or constructed to match the characteristics of the sound sources. …”
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    Article
  17. 137

    A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

    Published 2025-02-01
    “…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). …”
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    Article
  18. 138

    Effect of cochlear implant surgery on vestibular function: meta-analysis study by Iman Ibrahim, Sabrina Daniela da Silva, Bernard Segal, Anthony Zeitouni

    Published 2017-06-01
    “…Study selection Published studies of adult patients who received unilateral or bilateral CIs and whose vestibular function or postural stability was assessed before and after surgery. …”
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    Article
  19. 139

    IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

    Published 2024-04-01
    “…The system goes beyond traditional LMS functionalities by providing suggestions to enhance and diversify lessons. …”
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    Article
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