بدائل البحث:
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث), selection algorithm (توسيع البحث)
generation algorithm » genetic algorithm (توسيع البحث), detection algorithm (توسيع البحث), selection algorithm (توسيع البحث)
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Reflection matrix microscopy data and CLASS algorithms
منشور في 2025"…<h3><b>Reflection matrix microscopy data and CLASS algorithms</b></h3><p dir="ltr">This software package includes essential algorithms for reflection matrix microscope (RMM) and the CLASS algorithm. …"
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83
Recursive generation of substructures using point data
منشور في 2025"…<p dir="ltr">The dataset contains generated substructure using POI in China, the pseudo code for the algorithm and python implement of the algorithm. …"
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84
Dialogue Propositional Content Replacement (DPCR) code
منشور في 2025"…The comparison is between original human-human debate snippets, snippets generated with an IAT-compliant algorithm and snippets produced with ablated versions of the algorithm. …"
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85
Comparison data 7 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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86
Sample data for <i>Neolamprologus multifasciatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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87
Sample data for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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88
Comparison data 3 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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89
Sample data for <i>Telmatochromis temporalis</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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90
Comparison data 4 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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91
Comparison data 1 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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92
Comparison data 2 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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93
Comparison data 5 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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94
Comparison data 6 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…<div><p>Data in behavioral research is often quantified with event-logging software, generating large data sets containing detailed information about subjects, recipients, and the duration of behaviors. …"
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95
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96
Analytical Algorithm for Long-Term Water Supply Operation for Reservoirs in Series
منشور في 2025"…<p dir="ltr">R code files:</p><p dir="ltr">1. Script for generating synthetic reservoir inflow time series</p><p dir="ltr">2. …"
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97
Monotone Cubic B-Splines with a Neural-Network Generator
منشور في 2024"…We explore different ways of enforcing this constraint and analyze their theoretical and empirical properties. We propose two algorithms for solving the spline fitting problem: one that uses standard optimization techniques and one that trains a Multi-Layer Perceptrons (MLP) generator to approximate the solutions under various settings and perturbations. …"
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98
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100