Sequential large language model-based hyper-parameter optimization

K Mahammadli, S Ertekin - arxiv preprint arxiv:2410.20302, 2024 - arxiv.org
This study introduces SLLMBO, an innovative framework leveraging large language models
(LLMs) for hyperparameter optimization (HPO), incorporating dynamic search space …

[HTML][HTML] Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels

C Yuan, Y Shi, Z Ba, D Liang, J Wang, X Liu, Y Xu… - Gels, 2025 - mdpi.com
The escalating global climate crisis and energy challenges have made the development of
efficient radiative cooling materials increasingly urgent. This study presents a machine …

Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA

R Bassah, G Corzo, B Bhattacharya, SM Haider… - Journal of …, 2025 - Elsevier
Forecasting water levels in complex ecosystems like wetlands can support effective water
resource management, ecological conservation, and understanding surface and …

[HTML][HTML] Numerical Simulation and Bayesian Optimization CatBoost Prediction Method for Characteristic Parameters of Veneer Roller Pressing and Defibering

Q Wang, C Yan, Y Zhang, Y Xu, X Wang, P Cui - Forests, 2024 - mdpi.com
Defibering equipment is employed in the production of scrimber for the purpose of wood
veneer rolling, cutting, and directional fiber separation. However, the current defibering …

SOFTWARE COST EFFORT AND TIME ESTIMATION USING DRAGONFLY WHALE LION OPTIMIZED DEEP NEURAL NETWORK

SA SAMY, V NAGARAJAN… - REVUE ROUMAINE …, 2024 - journal.iem.pub.ro
Effective software development depends on the exact estimation of effort, time, cost, and
customer satisfaction. Software project management requires an accurate evaluation of …

Designing an Effort Estimation Process for Embedded Software Projects

A Sultanbekov - 2024 - aaltodoc.aalto.fi
This thesis proposes a hybrid software development effort estimation approach by exploring
and combining expert-based and data-driven estimation methods. Methods traditionally …

Can Pruning Improve Agent-Based Models' Calibration? An Application to Hpvsim

F Sturman, B Swallow, C Kerr, R Stuart… - An Application to … - papers.ssrn.com
Abstract Agent-based Models (ABMs) have gained popularity over the COVID-19 epidemic,
but their efficient calibration remains challenging. Here we propose a novel calibration …