The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
Abstract— Kinodynamic planning algorithms have the potential to find feasible control trajectories which accomplish a task even in very nonlinear or constrained dynamical system...
In nanometer regime, the effects of process variations are dominating circuit performance, power and reliability of circuits. Hence, it is important to properly manage variation e...
—We propose a scheme for routing and placement of mobile data collectors in Underwater Acoustic Sensor Networks (UASNs). The proposed scheme maximizes the lifetime of the network...