Results 241 to 250 of about 2,735,316 (329)
Pareto Front Sampling and Visualization
The tradeoff between different measures of fairness is captured by the so-called Pareto front, a visual representing the most one can achieve of a particular measure without sacrificing another. With many measures of production costs, machine learning inference quality, and fairness, the Pareto front is a high-dimensional object.
openaire +1 more source
Optimization of 3D‐Printed Structured Packings—Current State and Future Developments
Chemie Ingenieur Technik, Volume 98, Issue 11, Page 683-692, November 2026.This paper gives an overview about structured packing development for distillation, surveying heuristic development cycles, computational fluid dynamics simulations, and additive manufacturing techniques. The emerging application of shape optimization to improve packings is emphasized, and its benefits, impact, and limitations are discussed.
Dennis Stucke +3 more
wiley +1 more source
A Shared Threshold Rule for Ants and Workers: Multi-Objective Design of Labour-Force Participation Policy and a Division-of-Labour Evolutionary Algorithm. [PDF]
Biomimetics (Basel)Liang G, Cai X.
europepmc +1 more source
Journal of Comparative Neurology, Volume 534, Issue 11, November 2026.Somatotopic organization of taste appendages in the primary gustatory center and brain of the honey bee. Schematic drawing from sagittal perspective showing appendages sensory‐motor projections patterns. ABSTRACT The study of gustatory pathways from the periphery to the brain offers valuable insights into the neural mechanisms underlying taste ...
Melissa Pitzalis +5 more
wiley +1 more source
Multi-objective optimization of table tennis serve kinematic parameters using an improved particle swarm optimization algorithm. [PDF]
Front PhysiolWang L, Li H.
europepmc +1 more source
Medicinal Research Reviews, Volume 46, Issue 6, Page 1798-1823, November 2026.ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley +1 more source
Automatic selection of the best neural architecture for time series forecasting. [PDF]
Nat CommunCao Q +5 more
europepmc +1 more source
Optimal Control Applications and Methods, Volume 47, Issue 6, Page 1317-1328, November/December 2026.Computational governor is shown which simultaneously adjusts the reference and adjusts the constraints. ABSTRACT The paper considers a computational governor strategy to facilitate the implementation of Model Predictive Control (MPC) based on inexact optimization when the time available to compute the solution may be insufficient.
Steven van Leeuwen, Ilya Kolmanovsky
wiley +1 more source
Towards Reliable Transient Stability Prediction of Power Systems: A CNN-Based Deep Ensemble Model with Optimized Class-Specific Thresholds. [PDF]
Sensors (Basel)Chen Z, Liu Q, Xiong H, Liu C, Xing Y.
europepmc +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
Systems Engineering, Volume 29, Issue 6, Page 1039-1058, November 2026.ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source