بدائل البحث:
binary classification » image classification (توسيع البحث), data classification (توسيع البحث)
model optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), monkey optimizations (توسيع البحث)
binary data » binary rat (توسيع البحث)
binary a » binary rat (توسيع البحث)
a model » _ model (توسيع البحث)
binary classification » image classification (توسيع البحث), data classification (توسيع البحث)
model optimization » level optimization (توسيع البحث), motor optimization (توسيع البحث), monkey optimizations (توسيع البحث)
binary data » binary rat (توسيع البحث)
binary a » binary rat (توسيع البحث)
a model » _ model (توسيع البحث)
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
منشور في 2023"…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …"
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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
منشور في 2020"…The second major contribution is the design and construction of a Logistic Regression (LR) ML binary classification model with an accuracy of 87% and F1-score of 89%. …"
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3
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024الموضوعات: -
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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
منشور في 2022"…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …"
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7
An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
منشور في 2021"…Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed. …"
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An optimization approach to increasing sustainability and enhancing resilience against environmental constraints in LNG supply chains: A Qatar case study
منشور في 2022"…The developed model, which is implemented using the Binary Particle Swarm Optimization algorithm subjected to economic and environmental objectives within an overarching strategic aim for sustainability and resilience. …"
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
منشور في 2023"…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …"
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VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems
منشور في 2019"…The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …"
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …"
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15
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
منشور في 2025"…This study addresses the challenges of imbalanced data in SAH severity classification by employing the Modified Rankin Scale (MRS) within a three-stage classification framework. …"
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A method for data path synthesis using neural networks
منشور في 2017"…Presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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