Suchergebnisse - "population-based vortex search algorithm"
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PVS: a new population-based vortex search algorithm with boosted exploration capability using polynomial mutation
ISSN: 0941-0643, 1433-3058Veröffentlicht: London Springer London 01.10.2022Veröffentlicht in Neural computing & applications (01.10.2022)“… This paper introduces a novel population-based vortex search algorithm (PVS) to improve the weakness of the global search capability of the original Vortex Search (VS …”
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Innovative Machine Learning Approach for Forecasting Student Performance in Degree Programs: A Case Study Using Naive Bayes Classification
ISSN: 2708-9967, 2708-9975Veröffentlicht: Tamkang University Press 01.09.2025Veröffentlicht in Journal of Applied Science and Engineering (01.09.2025)“… It has become one of the prime focus areas in the academic world, starting from schools to higher educational institutions, that deal with student academic …”
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Forecasting Residential Building Heating Load With An Innovative Gaussian Process Regression Method
ISSN: 2708-9967, 2708-9975Veröffentlicht: 淡江大學 01.06.2025Veröffentlicht in Journal of Applied Science and Engineering (01.06.2025)“… ) and harnessing the power of two groundbreaking optimization techniques: the Population-based Vortex Search Algorithm (PVS …”
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Applying Support Vector Regression-Based Hybrid Models For Modeling The Gasification Process
ISSN: 2708-9967, 2708-9975Veröffentlicht: 淡江大學 01.06.2025Veröffentlicht in Journal of Applied Science and Engineering (01.06.2025)“… ) and the Population-based Vortex Search Algorithm (PVSA), to fine-tune SVR for accurately assessing CO and CO_2 values …”
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Predictive Modeling of Student Performance Through Classification with Gaussian Process Models
ISSN: 2158-107X, 2156-5570Veröffentlicht: West Yorkshire Science and Information (SAI) Organization Limited 2024Veröffentlicht in International journal of advanced computer science & applications (2024)“… The study utilizes the Gaussian Process Classification (GPC) model in conjunction with two optimization algorithms, the Population-based Vortex Search Algorithm (PVS …”
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Utilizing meta-heuristic algorithms for load-bearing capacity prediction in piles with support vector regression
ISSN: 2520-8160, 2520-8179Veröffentlicht: Cham Springer International Publishing 01.11.2024Veröffentlicht in Multiscale and Multidisciplinary Modeling, Experiments and Design (01.11.2024)“… When designing foundations and using geotechnical engineering, pile bearing capacity (Pu) is essential, indicating the maximum load piles can sustain without …”
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Having Deep Investigation on Predicting Unconfined Compressive Strength by Decision Tree in Hybrid and Individual Approaches
ISSN: 2158-107X, 2156-5570Veröffentlicht: West Yorkshire Science and Information (SAI) Organization Limited 2024Veröffentlicht in International journal of advanced computer science & applications (2024)“… In the field of geotechnical engineering Rocks' unconfined compressive strength (UCS) is an important variable that plays a significant part in civil …”
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Prediction of pile settlement by using hybrid random forest models
ISSN: 2520-8160, 2520-8179Veröffentlicht: Cham Springer International Publishing 01.07.2024Veröffentlicht in Multiscale and Multidisciplinary Modeling, Experiments and Design (01.07.2024)“… Pile settlement, a critical aspect of geotechnical engineering, refers to the vertical movement or deformation of piles, which are structural elements used to …”
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Gasification process modelling and optimization using Gaussian process regression and hybrid population-based algorithms
ISSN: 2520-8160, 2520-8179Veröffentlicht: Cham Springer International Publishing 01.09.2024Veröffentlicht in Multiscale and Multidisciplinary Modeling, Experiments and Design (01.09.2024)“… ) modelling with the Population-Based Vortex Search Algorithm (PVSA) and the Dingo Optimization Algorithm (DOA …”
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Machine learning-based prediction of compressive strength and slump in high-performance concrete
ISSN: 2520-8160, 2520-8179Veröffentlicht: Cham Springer International Publishing 01.11.2025Veröffentlicht in Multiscale and Multidisciplinary Modeling, Experiments and Design (01.11.2025)“… The design of a concrete structure heavily depends on one of the most significant performance parameters: concrete strength. Reliable strength prediction can …”
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Anticipating Properties of Ultra-High-Performance Concrete through the K-Nearest Neighbor Algorithm
ISSN: 3041-850XVeröffentlicht: Bilijipub publisher 01.09.2025Veröffentlicht in Journal of Artificial Intelligence and System Modelling (01.09.2025)“… Two state-of-the-art metaheuristic approaches, namely Giant Trevally Optimizer (GTO) and Population-based Vortex Search Algorithm …”
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Predicting High-Performance Concrete Strength with Metaheuristic-Optimized Hybrid Models
ISSN: 1996-6814, 1997-1400Veröffentlicht: 05.11.2025Veröffentlicht in International journal of pavement research & technology (05.11.2025)Volltext
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Hybrid Machine Learning Models for Optimized Potato Price Prediction
ISSN: 2708-9967, 2708-9975Veröffentlicht: Tamkang University Press 2026Veröffentlicht in Journal of Applied Science and Engineering (2026)“… ), optimized through two metaheuristic algorithms: the Stochastic Paint Optimizer (SPO) and the Population-based Vortex Search Algorithm (PVSA …”
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Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction
ISSN: 2708-9967, 2708-9975Veröffentlicht: Tamkang University Press 01.04.2025Veröffentlicht in Journal of Applied Science and Engineering (01.04.2025)“… Nowadays, the main focus of current research and practice is to prioritize energy-efficient building management. Therefore, this pressing need pushes the …”
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