Multi-centre evaluation of variation in cumulative dose assessment in reirradiation scenarios.

Background And Purpose: Safe reirradiation relies on assessment of cumulative doses to organs at risk (OARs) across multiple treatments. Different clinical pathways can result in inconsistent estimates. Here, we quantified the consistency of cumulative dose to OARs across multi-centre clinical pathways.

Antenna impedance matching with neural networks.

Impedance matching between transmission lines and antennas is an important and fundamental concept in electromagnetic theory. One definition of antenna impedance is the resistance and reactance seen at the antenna terminals or the ratio of electric to magnetic fields at the input. The primary intent of this paper is real-time compensation for changes in the driving point impedance of an antenna due to frequency deviations.

High resolution measurement of translucent plastic wall thicknesses by computerized tomography and neural networks.

Today there is a great deal of interest in the field of plastics design. Several methods can be employed to create plastic products such as injection molding, compression and transfer molding, and blow molding. This paper is concerned with blow molding which is a procedure employed to create hollow plastic containers such as those used to contain liquids and solids in the wholesale and retail markets.

Using neural networks to solve the multicast routing problem in packet radio networks.

The primary function of a packet radio network is the efficient transfer of information between source and destination nodes using minimal bandwidth and end-to-end delay. Many researchers have investigated the problem of minimizing the end-to-end delay from a single source to a single destination for a variety of networks; however, very little work is reported about routing mechanisms for the common case where a particular information packet is intended to be sent to more than one destination in the network. This is known as multicasting.

Determination of dependent and independent communication paths using neural networks.

Efficient and timely computation of routing algorithms is very important for proper operation of multihop packet radio networks. When a network operates in the presence of jammers (a hostile environment) additional constraints must be considered when computing the routing tables. Insertion of those constraints in routing algorithms enables the determination of dependent and independent paths between source and destination nodes, thus fixing lower limits on the number of external jamming sources required to sever a transmission.