Results 31 to 40 of about 167,998 (166)
Shapley value: from cooperative game to explainable artificial intelligence
With the tremendous success of machine learning (ML), concerns about their black-box nature have grown. The issue of interpretability affects trust in ML systems and raises ethical concerns such as algorithmic bias.
Meng Li +3 more
doaj +1 more source
A nonlinear optimal control approach for 3-DOF four-cable driven parallel robots
In this article, a nonlinear optimal control approach is proposed for the dynamic model of 3-DOF four-cable driven parallel robots (CDPR). To solve the associated nonlinear optimal control problem, the dynamic model of the 3-DOF cable-driven parallel ...
G. Rigatos, M. Abbaszadeh, J. Pomares
doaj +1 more source
With the growing penetration of renewable energy, the impact of renewable uncertainties on power system secure operation is of increasing concern. Based on a recently developed linear power flow model, we formulate a chance-constrained optimal power flow
Yaodan Cui +5 more
doaj +1 more source
Optimal trajectory generation method for robots for rapid handling of diversified products
With the rapid development of logistics and manufacturing industries, traditional handling robots can no longer meet practical needs. In response to this, for the rapid handling of diversified products, research first combines deep learning technology to
Zhongbo Hao
doaj +1 more source
Multi-objective optimal trajectory planning for manipulators based on CMOSPBO
Feasible, smooth, and time-jerk optimal trajectory is essential for manipulators utilized in manufacturing process. A novel technique to generate trajectories in the joint space for robotic manipulators based on quintic B-spline and constrained multi ...
Tingting Bao, Zhijun Wu, Jianliang Chen
doaj +1 more source
Service Composition and Optimization Selection (SCOS) is crucial in Cloud Manufacturing (CMfg), but the uncertainties in service states and working environments pose challenges for existing QoS-based methods.
Kezhou Chen +3 more
doaj +1 more source
The explainability of recommendation systems refers to the ability to explain the logic that guides the system’s decision to endorse or exclude an item.
Binchuan Qi, Wei Gong, Li Li
doaj +1 more source
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily on visual features, which are often inadequate in low-light or feature-sparse environments.
Quanxi Zhan +5 more
doaj +1 more source
Distributed strategies for pursuit-evasion of high-order integrators
This paper presents decentralized solutions for pursuit-evasion problems involving high-order integrators with intracoalition cooperation and intercoalition confrontation.
Panpan Zhou +3 more
doaj +1 more source
Distributed gradient-free and projection-free algorithm for stochastic constrained optimization
Distributed stochastic zeroth-order optimization (DSZO), in which the objective function is allocated over multiple agents and the derivative of cost functions is unavailable, arises frequently in large-scale machine learning and reinforcement learning ...
Jie Hou, Xianlin Zeng, Chen Chen
doaj +1 more source

