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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth
Published 2024-12-01“…This paper presents a pioneering artificial intelligence (AI) solution – the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil engineers in accurately predicting scour depth at bridges. …”
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Feature Selection for Hypertension Risk Prediction Using XGBoost on Single Nucleotide Polymorphism Data
Published 2025-01-01“…It is a chronic medical issue that, if left unaddressed, can lead to severe health complications, including kidney problems, heart disease, and stroke. This study aims to develop a feature selection model using the XGBoost algorithm to identify specific single nucleotide polymorphisms (SNPs) as biomarkers for detecting hypertension risk. …”
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Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification
Published 2021-01-01“…In this research, we propose a solution to the problems in which the classification depends on more than one model. …”
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Neighborhood Information Aggregation and Multi-View Feature Extraction-Based Contrastive Graph Clustering
Published 2025-09-01“…In addition, existing methods mainly rely on the original graph topology information and fail to fully utilize the neighborhood information hidden in the node attribute features. To address the above problems, we proposes a Neighborhood Information Aggregation and Multi-View Feature Extraction-Based Contrastive Graph Clustering (NIA-MVFE-CGC) framework, which improves the existing methods from the perspectives of network architecture, feature redundancy and neighborhood information. …”
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Dynamic niche technology based hybrid breeding optimization algorithm for multimodal feature selection
Published 2025-03-01“…Abstract As a primary approach to address feature selection problems, evolutionary algorithms have been widely proposed to deal with the problem. …”
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Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data
Published 2025-01-01“…Finally, it is not constrained to only computer vision tasks, as this assumption holds for feature spaces of different problems, which is demonstrated by applying it without any change to semantic analysis on the SST-2 dataset.…”
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Evaluating Coding Proficiency of Large Language Models: An Investigation Through Machine Learning Problems
Published 2025-01-01“…This paper investigates the coding proficiency of LLMs such as GPT and Gemini by benchmarking their performance on three ML problems: Titanic, MNIST, and Steel Defect. These problems were chosen to encompass a range of challenges, including handling missing data, feature engineering, deep learning architectures, and multi-label classification. …”
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1408
Multi-Neighborhood Sparse Feature Selection for Semantic Segmentation of LiDAR Point Clouds
Published 2025-07-01“…To address these problems, a sparse feature dynamic graph convolutional neural network, abbreviated as SFDGNet, is constructed in this paper for LiDAR point clouds of complex scenes. …”
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Solving Multidimensional 0-1 Knapsack Problem with Time-Free Tissue P Systems
Published 2014-01-01“…Furthermore, we present a time-free efficient solution to multidimensional 0-1 knapsack problem by timed recognizer tissue P systems.…”
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1410
The Problem of a Variant and Psychology of Folk Verbal Creation under Conditions of Local Tradition
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Employing Novel Ranking Function for Solving Fully Fuzzy Fractional Linear Programming Problems
Published 2024-07-01“…After converting the FFFLP problem to the fully fuzzy linear programming (FFLP) problem by a complementary method, then solved with the fully fuzzy simplex tables, in which all the values are fuzzy decagonal numbers. …”
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Fractional power series neural network for solving delay fractional optimal control problems
Published 2020-01-01“…The process begins with the assumption that the problem is first transformed into an equivalent problem with a fractional dynamical system without delay, using a Padé approximation. …”
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Truck and Unmanned Vehicle Routing Problem with Time Windows: A Satellite Synchronization Perspective
Published 2022-01-01“…We consider an important feature of satellite synchronization in the practical scenario of using unmanned vehicles (UVs) carried by trucks for “last-meter” delivery and introduce the truck and UV routing problem with time windows (TUVRP-TW) for optimizing the routes of a homogeneous fleet of truck-UV combinations. …”
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Addressing Disruption Risks in Location-Inventory Problems for Perishable Products through Lateral Transshipment
Published 2025-06-01“…location-inventory problem (LIP) is a significant issue in supply chain management (SCM), aiming to reduce and integrate the costs of inventory and location. …”
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A combined problem with local and nonlocal conditions for a class of mixed-type equations
Published 2025-06-01“…A distinctive feature of the considered problem is that on one part of the boundary characteristic, the values of the desired function are specified, while on the other part, nonlocal conditions are imposed. …”
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Mathematical Modelling Approaches for Integrated Single Machine Scheduling and Electric Vehicle Routing Problem
Published 2024-05-01“…Due to various charging feature constraints, EVRP diverges from the classical vehicle routing problem (VRP) and becomes more complex. …”
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Gender-related features of reperfusion therapy in patients with ST segment elevation myocardial infarction
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