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Now showing items 21-30 of 30
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 ...
A Bayesian approach to developing a strategic early warning system for the French milk market
(Halmstad University, 2017)
A new approach is provided in our paper for creating a strategic early warning system allowing the estimation of the future state of the milk market as scenarios. This is in line with the recent call from the EU commission ...
Channel Estimation for TDS-OFDM Systems in Rapidly Time-Varying Mobile Channels
(IEEE-Inst Electrical Electronics Engineers Inc, 2018)
This paper explores the performance of time-domain synchronous orthogonal frequency-division multiplexing (TDS-OFDM) systems operated under rapidly time-varying mobile channels. Since a rapidly time-varying channel contains ...
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 ...
Realistic Channel Estimation of IEEE 802.11af Systems in TV White Space
(Institute of Electrical and Electronics Engineers Inc., 2020)
This work investigates the realistic performance of IEEE 802.11af systems released for the efficient spectrum utilization of TV white space (TVWS). These systems are operated over many contiguous or non-contiguous channels ...
MULTI-STATE VIDEO TRANSMISSION WITH NETWORK CODING
(IEEE, 2018)
The goal of this work is to send video packets to all nodes in the network by enveloping Multi-State Video Coding (MSVC) at the same time network coding to maximize the throughput and video quality. This work has two main ...
Novel Application Software for the Semi-Automated Analysis of Infrared Meibography Images
(2019)
Purpose: To develop semi-automated application software that quickly analyzes infrared meibography images taken with the CSO Sirius Topographer (CSO, Italy) and to compare them to the manual analysis system on the device ...