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Now showing items 21-27 of 27
Routing with (p-percent) partial flooding for opportunistic networks
(2010)
Opportunistic networks are one of the fast developing research areas in mobile communications. Under opportunistic networks mobile nodes try to communicate with other nodes without any prior information and knowledge about ...
An open software architecture of neural networks: Neurosoft
(2004)
Software architecture of generic distributed neural networks and its relevant information model have been developed. Principles of on-line architecture building training controlling (managing) and topological optimization ...
A framework for combined recognition of actions and objects
(Springer-Verlag Berlin, 2012)
This paper proposes a novel approach to recognize actions and objects within the context of each other. Assuming that the different actions involve different objects in image sequences and there is one-to-one relation ...
The Performance of the RSS-Based Lateration Algorithm for Indoor Localization
(Institute of Electrical and Electronics Engineers Inc., 2019)
Localization methods have evolved over the years and led the invention of the Global Positioning System for outdoor localization. In time, the need for indoor localization has also arisen and research on indoor positioning ...
Ask me: A Question Answering System via Dynamic Memory Networks
(Institute of Electrical and Electronics Engineers Inc., 2019)
Most of the natural language processing problems can be reduced into a question answering problem. Dynamic Memory Networks (DMNs) are one of the solution approaches for question answering problems. Based on the analysis ...
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning
(Springer, 2020)
Techniques used for spatio-temporal anomaly detection in an unsupervised settings has attracted great attention in recent years. It has extensive use in a wide variety of applications such as: medical diagnosis, sensor ...
An Analysis for the Use of Compressed Sensing Method in Microwave Imaging
(IEEE, 2017)
One of the most important problems encountered in microwave imaging methods is intensive data processing traffic that occurs when high resolution and real time tracking is desired. Radar signals can be recovered without ...