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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Published 2025“…While Particle Swarm Optimization (PSO) and Large Language Models (LLMs) have been individually applied in optimization and deep learning, their combined use for enhancing convergence in numerical optimization tasks remains underexplored. …”
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Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function
Published 2024“…The model-based optimization predicts the best performance of PBR without conducting experiments. …”
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A practical routing model for optimized pavement data collection
Published 2017“…The routing of these vehicles, however, is often managed in an ad hoc manner with significant expense. This paper introduces a practical optimization method for designing the routes of pavement data collection equipment. …”
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Using genetic algorithms to optimize software quality estimation models
Published 2004“…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. …”
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A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays
Published 2016“…However, comparison of students' performance on lexical errors at the immediate post-test revealed that the self-feedback group significantly decreased this error percentage compared to the peer feedback group. …”
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An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…As a result, the prediction models built on one data set show a significant deterioration of their accuracy when they are used to classify new, unseen data. …”
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Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment
Published 2025“…The best quantized model, produced through Post-Training Quantization, was able to maintain a classification accuracy of 77.8% while significantly reducing the model size from 33 MB to 9.6 MB. …”
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Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model
Published 2025“…Through extensive experimentation, the optimized ConvLSTM model is shown to demonstrate superior performance in detecting attacks; it achieves a high accuracy of 91.3% compared with other models in classifying these attacks. …”
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Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
Published 2021“…A developed decision support model based a comprehensive wind turbine modeling and a constrained techno-economic optimization framework is presented. …”
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Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models
Published 2022“…<p dir="ltr">Three-diode model (TDM) of photovoltaic (PV) cells is a significantly precise model that addresses the electrical and optical losses in such PVs. …”
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QFD-based optimization model for mitigating sustainable supply chain management adoption challenges for Bangladeshi RMG industries
Published 2024“…The research gap addressed in this study is the lack of a comprehensive, data-driven optimization model for effectively mitigating sustainable <u>supply chain management</u> adoption challenges specific to the Bangladeshi Readymade Garments (RMG) industry. …”
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Preoperative Bevacizumab Does Not Significantly Increase Postoperative Complication Rates in Patients Undergoing Hepatic Surgery for Colorectal Cancer Liver Metastases
Published 2008“…Univariate and multivariate logistic regression models were used to evaluate the association of patient and tumor characteristics, neoadjuvant therapy, and operative factors with postoperative complications. …”
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Operations management of outpatient chemotherapy process: An optimization-oriented comprehensive review
Published 2022“…The OCP optimization-oriented research framework was obtained through social network analysis of the formulation narratives of the models. …”
