Sequential large language model-based hyper-parameter optimization
This study introduces SLLMBO, an innovative framework leveraging large language models
(LLMs) for hyperparameter optimization (HPO), incorporating dynamic search space …
(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 …
efficient radiative cooling materials increasingly urgent. This study presents a machine …
Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA
Forecasting water levels in complex ecosystems like wetlands can support effective water
resource management, ecological conservation, and understanding surface and …
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 …
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 …
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 …
and combining expert-based and data-driven estimation methods. Methods traditionally …
Can Pruning Improve Agent-Based Models' Calibration? An Application to Hpvsim
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 …
but their efficient calibration remains challenging. Here we propose a novel calibration …