Qualitative and Quantitative Assessment of the SET HASDM Database by Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, Bruce R. Bowman, Marcin D. Pilinski

“…By using real‐time data assimilation, HASDM can provide density estimates with increased accuracy over other empirical models. …”
Get full text

An Estimate of Wolverine Density for the Canadian Province of Alberta by Jason T. Fisher, Mehnaz Jahid, Robin Gutsell, Anne Hubbs, Laura L. E. Cowen, Mirjam Barrueto, Nicole Heim, John Paczkowski

“…We synthesised existing density estimates and wolverine–habitat relationships to create a province‐wide density estimate for wolverines. …”
Get full text

SMART TRAFFIC SIGNAL CONTROL SYSTEM FOR TWO INTER-DEPENDENT INTERSECTIONS IN AKURE, NIGERIA by AJIBESIN SAMSON, PONNLE AKINLOLU, OYEDEPO OLUGBENGA

“…The system developed in this work uses deep learning and computer vision techniques to estimate the density of traffic and uses this information to adaptively switch traffic signals based on the traffic density estimated. Simulation results show that in 30 minutes of simulation, 32 signal cycles can be achieved and 967 vehicles can move at these two inter-dependent intersections …”
Get full text

Semi-visible jets, energy-based models, and self-supervision by Luigi Favaro, Michael Krämer, Tanmoy Modak, Tilman Plehn, Jan Rüschkamp

“…We use background-enhanced data to create a sensitive representation and evaluate the representations using a CLR-inspired anomaly score and a normalized autoencoder as density estimators. Our results show a remarkable sensitivity for a wide range of semi-visible jets and are more robust than a supervised classifier trained on a specific signal.…”
Get full text

Outlier detection algorithm based on fast density peak clustering outlier factor by Zhongping ZHANG, Sen LI, Weixiong LIU, Shuxia LIU

“…For the problem that peak density clustering algorithm requires human set parameters and high time complexity, an outlier detection algorithm based on fast density peak clustering outlier factor was proposed.Firstly, k nearest neighbors algorithm was used to replace the density peak of density estimate, which adopted the KD-Tree index data structure calculation of k close neighbors of data objects, and then the way of the product of density and distance was adopted to automatic selection of clustering centers.In addition, the centripetal relative distance and fast density peak clustering outliers were defined to describe the degree of outliers of data objects.Experiments on artificial data sets and real data sets were carried out to verify the algorithm, and compared with some classical and novel algorithms.The validity and time efficiency of the proposed algorithm are verified.…”
Get full text

Estimation de la densité par comptage des nids des Bonobos (Pan paniscus) dans la région de Bolobo des localités de Nkala et Embirima, République Démocratique du Congo : résultats... by Ulrich Maloueki, Simon‑Pierre Kumugo Ndimbo, Jean Mukulire Malekani, Bekeli Nseu Mbomba

“…We determined the densities of the populations of bonobos in the mosaics of forests intersected with savannas in this area. The densities estimated during September 2008, have been relatively low 0.04 to 0.21 bonobos/km2, by the method of nests counting, along the transects lines, respectively for the secondary forest of Nkala-MMT (Mbou-Mon-Tour) and the primary forest of Embirima. …”
Get full text

Alteração da paisagem do município de Candeias do Jamari em Rondônia: uma análise temporal dos anos de 2007 a 2020. by Sheila Castro dos Santos, Siane Cristhina Pedroso Guimarães, Hélio Marques de Lira

“…The methodological basis is a qualitative and quantitative approach of the data and is anchored in satellite images and maps of hot spots produced from a set of data (2007, 2011, 1015, 2019 and 2020), where densities of the areas of study were calculated using the kernel density estimator, present in the Spatial Analyst extension of the free software QGIS 2.8.9 WIEN. …”
Get full text

A Global Thermospheric Density Prediction Framework Based on a Deep Evidential Method by Yiran Wang, Xiaoli Bai

“…It can also obtain reliable uncertainty estimations. Global density estimations at altitudes from 200 to 550 km are also presented and compared with empirical models on both quiet and storm conditions.…”
Get full text

A reliance on human habitats is key to the success of an introduced predatory reptile. by Tom Major, Lauren Jeffrey, Guillem Limia Russel, Rebecca Bracegirdle, Antonio Gandini, Rhys Morgan, Benjamin Michael Marshall, John F Mulley, Wolfgang Wüster

“…We investigated snake home range size using Autocorrelated Kernel Density Estimators (AKDE). Using AKDE-weighted Habitat Selection Functions we identified preferences for habitat features in a mosaic of habitats, and we used Integrated Step Selection Functions to further explore how these features influence movement. …”
Get full text

Considération des caractéristiques structurales comme indicateurs écologiques d’aménagement forestier au Togo (Afrique de l’Ouest) by Kossi Adjonou, Aboudou Raoufou Radji, Adzo Dzifa Kokutse, Kouami Kokou

“…In all, 73 ligneous species were recorded with an average density estimated to 955 ± 303.1 N/ha and a basal area equal to 38.9 ± 18.9 m2/ha. …”
Get full text

Effects of emigration on home range and behavior of Atlantic spotted dolphins (Stenella frontalis) by Brittini A. Hill, Denise L. Herzing, Jeremy M. Bono

“…We examined the home ranges for LBB residents on LBB (2005–2012), LBB immigrants on GBB (2013–2020), and GBB residents on GBB (2013–2020). Fixed kernel density estimators revealed LBB immigrant dolphins maintained significantly larger home ranges (34–43%) and core areas (42–94%) than both LBB and GBB residents. …”
Get full text

Comparison of T-Square, Point Centered Quarter, and N-Tree Sampling Methods in Pittosporum undulatum Invaded Woodlands by Lurdes Borges Silva, Mário Alves, Rui Bento Elias, Luís Silva

“…Pittosporum undulatum stands in the Azores are being targeted with a biomass valorization program, for which efficient tree density estimators are required. We compared T-Square sampling, Point Centered Quarter Method (PCQM), and N-tree sampling with benchmark quadrat (QD) sampling in six 900 m2 plots established at P. undulatum stands in São Miguel Island. …”
Get full text

Validation of the α-μ Model of the Power Spectral Density of GPS Ionospheric Amplitude Scintillation by Kelias Oliveira, Alison de Oliveira Moraes, Emanoel Costa, Marcio Tadeu de Assis Honorato Muella, Eurico Rodrigues de Paula, Waldecir Perrella

“…The results show that the proposed model fits power spectral densities estimated from field data quite well.…”
Get full text

MSIS‐UQ: Calibrated and Enhanced NRLMSIS 2.0 Model With Uncertainty Quantification by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska, Jean Yoshii

“…In this work, we develop an exospheric temperature model based in machine learning that can be used with NRLMSIS 2.0 to calibrate it relative to high‐fidelity satellite density estimates directly through the exospheric temperature parameter. …”
Get full text

The Impact of Solar Activity on Forecasting the Upper Atmosphere via Assimilation of Electron Density Data by Timothy Kodikara, Kefei Zhang, Nicholas Michael Pedatella, Claudia Borries

“…The results demonstrate that assimilation of Ne significantly impacts the neutral mass density estimates via the KF state vector—the impact is larger during solar maximum than solar minimum relative to a control case that does not assimilate Ne. …”
Get full text

Estimated baseline density of a spotted hyaena population in a post-war landscape by Willem D. Briers-Louw, Tamar A. Kendon, Matthew S. Rogan, Alison J. Leslie, Drew Bantlin, Emma Evers, David Gaynor, Peter Lindsey, João Almeida, Vincent N. Naude

“…We conducted the first robust population density estimate for a spotted hyaena population in Mozambique using spatially explicit capture–recapture methodologies. …”
Get full text

Thermospheric Neutral Density Data Assimilation System Based on the Whole Atmosphere Model During the November 2003 Storm by Ching‐Chung Cheng, Timothy Fuller‐Rowell, Eric K. Sutton, Tzu‐Wei Fang, Jann‐Yenq Liu, Daniel R. Weimer

“…The second were neutral density estimates from the Global Ultraviolet Imager (GUVI) limb‐scan airglow observations aboard the Thermosphere Ionosphere Mesosphere Energetics and Dynamics satellite. …”
Get full text

Tigers in their new territory: intraspecific interactions among the reintroduced tiger population in Panna Tiger Reserve, Central India by Supratim Dutta, Ramesh Krishnamurthy

“…To investigate spatial interactions, we used Autocorrelated Kernel Density Estimator methods. To capture dynamic interactions at different scales, we calculated Benhamou’s Movement Interaction index and a Correlation Coefficient (Cr) at two critical distance thresholds (Δ500m and 100m). …”
Get full text

Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…Its ability to capture calm hours and extreme wind speeds provided more accurate power density estimates, with errors averaging 23%, compared to 33% and 42% for the Weibull and Rayleigh-Rice distributions, respectively. …”
Get full text

Specifying Satellite Drag Through Coupled Thermosphere‐Ionosphere Data Assimilation of Radio Occultation Electron Density Profiles by Nicholas Dietrich, Tomoko Matsuo, Chih‐Ting Hsu

“…Improved neutral density estimates correspond to a reduction in orbit errors of 1.2 km over 2 days, a 70% reduction over a no‐assimilation control, and a 29 km improvement over 9 days. …”
Get full text