Results 171 to 180 of about 34,311 (304)
Features and Fluents for Logic Programming: Non-simulative Algebraic Semantics
A Non-simulative Algebraic Semantics is defined and its range of applicability is proven to be the K-RACi class of the Features and Fluents framework.
Brandano, Sergio
core
Automated production cutting optimization for minimizing material waste of pipelines in prefabricated MEP systems based on integer programming. [PDF]
Fan X, Yang L, Zhao X.
europepmc +1 more source
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay +9 more
wiley +1 more source
Modelling and solution methods for stochastic optimisation
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In this thesis we consider two research problems, namely, (i) language constructs for modelling stochastic programming (SP) problems and (ii) solution ...
Zverovich, Victor
core
Optimal radiotherapy dose scheduling with variable fraction sizes and breaks via sequential mixed-integer convex programming. [PDF]
Fu A, Gouw Z, Jeong J, Deasy JO.
europepmc +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Approximation in stochastic integer programming
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate ...
Vlerk, Maarten H. van der, Stougie, Leen
core
An open-source optimization model for sustainable open-pit mine production scheduling. [PDF]
Lotsu JS, Bimpong GY, Boakye K.
europepmc +1 more source

