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Journal of Robotics, Networking and Arti...
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Journal of Robotics, Networking and Artificial Life,
2405-9021
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Aktivitäten
Keep It Simple, Make It Fast! Conference - KISMIF 2015
MDPI (Verlag)
Learning and Re-learning in Chat-based CSCL: The Impact of Individual Learning Strategies
Transdisciplinary Evaluation of Alternative Adaptation Strategies Value-Tree Method as a Tool to Integrate Multiple Values of Science, Practice and the General Public into Decision-Making
Detection time analysis of propulsion system fault effects in a hexacopter
Publikationen
A computational study of a model of single-crystal strain-gradient viscoplasticity with an interactive hardening relation
Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
Creating regional (e-)learning networks
Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants
Geographical patterns in prediction errors of species distribution models
Foundations and applications of computer based material flow networks for einvironmental management
Robust feedback linearization control of a throttle plate by using an approximated pd regulator
Integration of laser scanning and projection speckle pattern for advanced pipeline monitoring
Artificial Intelligence Algorithms for Collaborative Book Recommender Systems
Stability analysis of a linear model predictive control and its application in a water recovery process
Using Fuzzy PD Controllers for Soft Motions in a Car-like Robot
Gaussian processes for dispatching rule selection in production scheduling
Learning Analytics with Matlab Grader in Undergraduate Engineering Courses
Distinguishing state variability from trait change in longitudinal data
A Lyapunov based PI controller with an anti-windup scheme for a purification process of potable water
Sliding-Mode-Based Input-Output Linearization of a Peltier Element for Ice Clamping Using a State and Disturbance Observer