Edward H. Friedman Interview

Friedman, Edward

doi:10.15695/amqst.v9i1-2.3659

Cited by 30 publications

(37 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous studies have described the presence of endogenous avian retroviruses within domesticated chickens which are vertically transmitted through the host germ line following genomic integration (Frisby & Weiss, 1979). Although not normally linked to disease endogenous avian retroviruses have been related to subgroup J avian leukosis virus, an exogenous avian retrovirus, which has been reported to induce myeloid leukosis, can cause mortality through the development of tumours, and can cause immunosuppression within the host (Purchase et al, 1968;Friedman & Ceglowski, 1971;Payne, 1998;Smith et al, 1998;Fadly & Smith, 1999). It is possible that the presence of avian retroviruses in RSS-affected samples is not directly contributing to enteric disease however the immunosuppression caused by these viruses may leave affected birds susceptible to infection from other viral species.…”

Section: Retroviridaementioning

confidence: 99%

A metagenomic comparison of endemic viruses from broiler chickens with runting-stunting syndrome and from normal birds

Devaney

Trudgett

et al. 2016

Avian Pathology

View full text Add to dashboard Cite

Section: Retroviridaementioning

confidence: 99%

A metagenomic comparison of endemic viruses from broiler chickens with runting-stunting syndrome and from normal birds

Devaney

Trudgett

et al. 2016

Avian Pathology

View full text Add to dashboard Cite

“…12. Cox (1984) and Friedman (1991) provide definitions and theory for multivariate smoothing splines.…”

Section: A Function G(·)mentioning

confidence: 99%

Empirical Analysis of Climate Change Impact on Loblolly Pine Plantations in the Southern United States

Huang

Abt

Kindermann

et al. 2011

Natural Resource Modeling

View full text Add to dashboard Cite

Few studies have empirically examined climate change impacts on managed forests in the southern United States. In this paper, we use the U.S. Forest Service's Forest Inventory and Analysis Database to fit two growth models across the South and apply the four Hadley III climate scenarios developed for the Intergovernmental Panel on Climate Change Fourth Assessment Report to project future growth and site productivity on loblolly pine plantations. The static growth model provides a direct test of whether a significant climate influence on forest growth can be statistically derived, while the dynamic growth model estimates climate effects through site productivity. Results indicate considerable spatial variation in potential future growth and productivity change on loblolly pine plantations due to climate change in the southern United States, while overall regional effects are projected to be marginal. The pattern of climate change impacts is consistent across the growth models and climate scenarios. These findings have several implications for climate change adaptation policies.

show abstract

“…The DA classifier is based on the assumption that the features' vectors inputs are both Gaussian distributed and statistically independent. The two categories of DA classifiers that have been applied are linear and quadratic; for the linear case, the model has the same covariance matrix for each class, only the means vary, while for the quadratic case, both means and covariance of each class vary, [43] [44]. During the training process the mean and variance of these feature vectors are estimated as part of the classification process.…”

Section: Theorymentioning

confidence: 99%

Through Wall Radar Classification of Human Micro-Doppler using Singular Value Decomposition Analysis

Ritchie

Ash

Chen

et al. 2016

Preprint

View full text Add to dashboard Cite

Abstract:The ability to detect the presence as well as classify the activities of individuals behind visually obscuring structures is of significant benefit to police, security and emergency services in many situations. This paper presents the analysis from a series of experimental results generated using a through-the-wall (TTW) Frequency Modulated Continuous Wave (FMCW) C-Band radar system named Soprano. The objective of this analysis was to classify whether an individual was carrying an item in both hands or not using micro-Doppler information from a FMCW sensor. The radar was deployed at a standoff distance, of approximately 0.5 m, outside a residential building and used to detect multiple people walking within a room. Through the application of digital filtering, it was shown that significant suppression of the primary wall reflection is possible, significantly enhancing the target signal to clutter ratio. Singular Value Decomposition (SVD) signal processing techniques were then applied to the micro-Doppler signatures from different individuals. Features from the SVD information have been used to classify whether the person was carrying an item or walking free handed. Excellent performance of the classifier was achieved in this challenging scenario with accuracies up to 94%, suggesting that future through wall radar sensors may have the ability to reliably recognize many different types of activities in TTW scenarios using these techniques.

show abstract

Edward H. Friedman Interview

Abstract: Interview

Cited by 30 publications

References 0 publications

A metagenomic comparison of endemic viruses from broiler chickens with runting-stunting syndrome and from normal birds

A metagenomic comparison of endemic viruses from broiler chickens with runting-stunting syndrome and from normal birds

Empirical Analysis of Climate Change Impact on Loblolly Pine Plantations in the Southern United States

Through Wall Radar Classification of Human Micro-Doppler using Singular Value Decomposition Analysis

Contact Info

Product

Resources

About