This work deals with trajectory optimization for a network of robotic sensors sampling a spatio-temporal random field. We examine the problem of minimizing over the space of networ...
A system for utilizing an artificial neural network to predict splice sites in genes has been studied. The neural network uses a sliding window of nucleotides over a gene and predi...
Networks of small devices, such as environmental sensors, introduce a number of new challenges for traditional protocols and approaches. In particular, the extreme resource constr...
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...
This paper proposes a mobile ad hoc networking approach to detecting and querying events related to farm animals such as oestrus, animal diseases and decreased efficiency of pastu...