Results 61 to 70 of about 291,981 (317)

Patterns and drivers of population trends on individual Breeding Bird Survey routes using spatially explicit models and route-level covariates

open access: yesAvian Conservation and Ecology
Spatial patterns in population trends, particularly those at fine geographic scales, can help better understand the factors driving population change in North American birds.
Adam C Smith   +11 more
doaj   +1 more source

Gaussian Process for Trajectories

open access: yes, 2023
The Gaussian process is a powerful and flexible technique for interpolating spatiotemporal data, especially with its ability to capture complex trends and uncertainty from the input signal. This chapter describes Gaussian processes as an interpolation technique for geospatial trajectories.
Nguyen, Kien   +2 more
openaire   +2 more sources

The MMP‐9/TIMP‐1 Ratio and Concentrations of Osteopontin Are Elevated in Cerebrospinal Fluid of People With Multiple Sclerosis and Decrease After Autologous Hematopoietic Stem Cell Transplantation

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the utility of cerebrospinal fluid (CSF) biomarkers—matrix metalloproteinase‐9 (MMP‐9), tissue inhibitor of metalloproteinases‐1 (TIMP‐1), the MMP‐9/TIMP‐1 ratio, and osteopontin (OPN)—as indicators of blood–brain barrier (BBB) integrity and disease activity in people with relapsing–remitting multiple sclerosis (pwMS ...
Ivan Pavlovic   +6 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Landslide susceptibility mapping using various soft computing techniques (Case study: A part of Haraz Watershed) [PDF]

open access: yesمدل‌سازی و مدیریت آب و خاک
IntroductionA landslide is one of the mass movements on the top surface of the earth. Landslides have resulted in notable injury and damage to human life and destroyed infrastructure and property.
Alireza Sepahvand, Nasrin Beiranvand
doaj   +1 more source

Gaussian Processes for Regression [PDF]

open access: yes, 1995
The Bayesian analysis of neural networks is difficult because a sim ple prior over weights implies a complex prior distribution over functions. In this paper we investigate the use of Gaussian process priors over functions, which permit the predictive Bayesian anal ysis for fixed values of hyperparameters to be carried out exactly using matrix ...
Williams, Christopher, Rasmussen, Carl
openaire   +2 more sources

Regression with Gaussian Processes [PDF]

open access: yes, 1997
The Bayesian analysis of neural networks is difficult because the prior over functions has a complex form, leading to implementations that either make approximations or use Monte Carlo integration techniques. In this paper I investigate the use of Gaussian process priors over functions, which permit the predictive Bayesian analysis to be carried out ...
openaire   +2 more sources

Monotonic Gaussian Process Flows [PDF]

open access: yes, 2019
Proceedings of the 23nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 (14 pages)
Ustyuzhaninov, I   +3 more
openaire   +4 more sources

Infrared Neural Stimulation Elicits Distinct Molecular Pathways in Astrocytes Based on Laser Pulse Parameters

open access: yesAdvanced Biology, EarlyView.
Infrared (IR) light evokes distinct calcium and water transport responses in astrocytes, depending on stimulation duration and protocol. This study uses widefield imaging and pharmacology to reveal differential engagement of astroglial signaling pathways.
Wilson R. Adams   +7 more
wiley   +1 more source

Revisiting statefinder via Gaussian process

open access: yesEuropean Physical Journal C: Particles and Fields
The statefinder diagnostic is useful to discriminate dark energy models. In this paper, under the minimum assumption of a spatially flat Friedmann–Lemaître–Robertson–Walker Universe, we reconstruct the statefinder pair $$\{r(z),s(z)\}$$ { r ( z ) , s ( z
Zhihua Feng, Lixin Xu
doaj   +1 more source

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