— We examine a potential role of signalling crosstalk in Artificial Cell Signalling Networks (ACSNs). In this research, we regard these ACSNs or Artificial Biochemical Networks...
James Decraene, George G. Mitchell, Barry McMullin
This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
– The process control industry has shown great interest in implementation of low cost, low power wireless sensor networks. Such networks are much easier to deploy and reconfigure...
Richard Primerano, Kevin Wanuga, Joseph Dorn, Mosh...