Results 81 to 90 of about 110,413 (286)
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Most existing logistics optimization models assume static demand or ignore transportation replenishment, which limits their applicability in dynamic agricultural environments.
Delong Zhu +8 more
doaj +1 more source
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
Large Neighborhood Search (LNS) is a popular heuristic for solving combinatorial optimization problems. LNS iteratively explores the neighborhoods in solution spaces using destroy and repair operators. Determining the best operators for LNS to solve a problem at hand is a labor-intensive process.
Reijnen, Robbert +3 more
openaire +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
The growing emphasis on sustainable manufacturing has motivated the integration of environmental and social factors into traditional assembly line balancing problems (ALBPs). This study introduces a Sustainable Mixed-Model Assembly Line Balancing Problem
Esam Alhomaidi
doaj +1 more source
A Pareto-metaheuristic for a bi-objective winner determination problem in a combinatorial reverse auction [PDF]
The bi-objective winner determination problem (2WDP-SC) of a combinatorial procurement auction for transport contracts comes up to a multi-criteria set covering problem. We are given a set B of bundle bids.
Buer, Tobias, Kopfer, Herbert
core +1 more source
Estimation of physical variables from multichannel remotely sensed imagery using a neural network: Application to rainfall estimation [PDF]
Satellite-based remotely sensed data have the potential to provide hydrologically relevant information about spatially and temporally varying physical variables.
Gao, X +3 more
core +1 more source
Communication or influence networks are probably the most controllable of all factors that are known to impact on the problem-solving capability of task-forces. In the case connections are costly, it is necessary to implement a policy to allocate them to
Fontanari, José F. +2 more
core +1 more source
Generic adaptive heuristics for large neighborhood search
The Large Neighborhood Search (LNS) approach for solving Constrained Optimization Problems has been proved to be eective on a wide range of problems. LNS is a local search metaheuristic that uses a complete search method (such as CP) to explore a large neighborhood.
Mairy, Jean-Baptiste +3 more
openaire +1 more source

