PFTuner: An Efficient and Effective Multi-Objective Configuration Tuning Framework Adaptive to Different Software Systems. [PDF]
Feng J, He M, Jin L, Dou H.
europepmc +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
A Load-Balancing-Aware Learning Framework for Collaborative UAV-MEC Computation Offloading. [PDF]
Li H +7 more
europepmc +1 more source
Drought Exposure and Dynamic Input Adjustment in North Central U.S. Agriculture
ABSTRACT This article examines whether realized extreme drought episodes affect the speed of adjustment of derived input demands and output supplies toward their long‐run equilibrium in U.S. agriculture, focusing on states in the North Central Region.
Victor H. Lana Pinto +2 more
wiley +1 more source
Behavior-aware deep reinforcement learning for multi-objective outpatient scheduling optimization. [PDF]
Wan X, Zhang X, Weng W, Han P, Xu X.
europepmc +1 more source
Model predictive control with inline parameter adaptation for direct crystal growth rate regulation
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley +1 more source
Inverse design of frustrated Lewis pairs for direct catalytic CO<sub>2</sub> hydrogenation: refining and expanding design rules. [PDF]
Das S +3 more
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
A Problem-Setup-Centric Framework for Mixed-Variable Chemical Formulation Optimization with Customized Constraints. [PDF]
Zhang Y, Chen S, Gao S, Xu P, Lu W.
europepmc +1 more source

