We investigate neural network-based event detection for surveillance tasks.
In this paper, we present a novel Neural Network-based predictor for subjective quality of speech signals.
Communication is changing to a more and more wireless world. Any wireless communication system needs radio frontends (transceivers) to link higher layer signals to the air interface.
The prospect of assisting disabled patients by translating neural activity from the brain into control signals for prosthetic devices, has flourished in recent years.
Mechanical cues arising from extracellular matrices greatly affect cellular properties, and hence, are of significance in designing biomaterials.
A model for a large network of 'neurons' with graded response (or sigmoid input-output relation) is studied.
Network virtualization enables increasingly diverse network services to cohabit and share a given physical infrastructure and its resources, with the possibility to rely on different network archit
Inductively coupled SF6/SiCl4 plasmas interacting with a bulk silicon substrate and a SiO2-coated substrate have been investigated.
W i t h the simple means here described for neutralizing mutual interference between parallel telegraph circuits, it has been found practicable to effect a reduction to 10 or 20 per cent of the ori
In considering the subject of protecting communication circuits at electric power plants and substations by means of neutralizing transformers, this paper gives particular attention to the problems
