Results 241 to 250 of about 484,819 (300)

Parity and Season Affect the Performance of an Automated Activity Monitoring System for Estrus Detection in Grazing Girolando Cows. [PDF]

Vet Med Int
Oliveira SAS, Figueiredo RA, Viana JHM, Féres LLDS, Féres LFR, Santos RMD, Martins CF, Ferreira IC.   +7 more
europepmc   +1 more source

Predictive Value of Semi-Quantitative GeneXpert Categories for Microbiological Outcomes in Pulmonary Tuberculosis. [PDF]

Biomedicines
Cojocaru E, Stoian IA, Crișan-Dabija RA, Cojocaru R, Ignat A, Cojocaru C.   +5 more
europepmc   +1 more source

Distribution, Habitat Use and Conservation of the Bornean Ferret Badger. [PDF]

Ecol Evol
Hearn AJ, Jaini MAB, Sartor CC, Salam PMSB, Martin A, Gomez C, Macdonald DW.   +6 more
europepmc   +1 more source

A two-stage screening approach integrated with GWAS for rare phenotypes such as spontaneous haploid genome doubling in maize. [PDF]

Front Plant Sci
Fakude M, Foster TL, Chen YR, Murithi A, Aboobucker SI, Frei UK, Dixon PM, Lübberstedt T.   +7 more
europepmc   +1 more source

Detection of low probability of intercept signals in low SNR using multichannel sensor arrays

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
In this paper, a method is proposed for the detection of low probability of intercept, LPI signals in high noise without prior knowledge and assumption using spatially distributed multichannel wideband sensor array. The proposed detection method uses eigenvalue ratios (EVR) of wideband spatial covariance matrix as test statistic.
Can Uysal, Tansu Filik
core   +4 more sources

Automated and Blind Detection of Low Probability of Intercept RF Anomaly Signals

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking
Automated spectrum monitoring necessitates the accurate detection of low probability of intercept (LPI) radio frequency (RF) anomaly signals to identify unwanted interference in wireless networks. However, detecting these unforeseen low-power RF signals is fundamentally challenging due to the scarcity of labeled RF anomaly data.
Kunal Gusain, Zoheb Hassan, David Couto, Mai Abdel Malek, Vijay K Shah, Lizhong Zheng, Jeffrey H. Reed   +6 more
openaire   +3 more sources

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Emulating Low Probability of Detection Algorithms

2020 30th International Telecommunication Networks and Applications Conference (ITNAC), 2020
Software Defined Radios (SDRs) can be used to create and modify radio waveforms in order to perform research into various wireless network problems. Defence Science and Technology Group (DSTG) has created the Experimental Framework of SDRs (EFOS) incorporating bespoke SDRs communicating with one another through an RF attenuation matrix.
James Yockey, Benjamin Campbell, Andrew Coyle, Robert A. Hunjet   +3 more
openaire   +1 more source