Abstract— This paper presents an investigation of a neuralbased technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist a...
This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Abstract--Peer-to-Peer Realm (P2PRealm) is an efficient peer-topeer network simulator for studying algorithms based on neural networks. In contrast to many simulators, which emphas...
Niko Kotilainen, Mikko Vapa, Teemu Keltanen, Annem...
Although the issues of routing and scheduling in packet radio networks are highly interdependent, few studies have addressed their interactions. In this paper, we address the prob...
Jeffrey E. Wieselthier, Craig M. Barnhart, Anthony...