Results 61 to 70 of about 34,052 (223)

Semiparametric constant false alarm rate method for radar and sonar images

open access: yesElectronics Letters
This work proposed a novel constant false alarm rate detection method based on Gaussian mixture model (GMM). The main contribution contains two aspects. First, the Gabor wavelet is used to determine the GMM component number.
Ke Li, Peng Zhang, Ziyuan Yang
doaj   +1 more source

Moving object detection using modified GMM based background subtraction

open access: yesMeasurement: Sensors, 2023
Academics have become increasingly interested in creating cutting-edge technologies to enhance Intelligent Video Surveillance (IVS) performance in terms of accuracy, speed, complexity, and deployment.
S. Rakesh   +7 more
doaj   +1 more source

Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation [PDF]

open access: yes, 2015
In the traditional object recognition pipeline, descriptors are densely sampled over an image, pooled into a high dimensional non-linear representation and then passed to a classifier.
Klein, Benjamin   +3 more
core  

Malarial Parasite Detection Using Gaussian Mixture Model(Gmm)

open access: yes, 2017
Malaria is a deadly disease and the recent survey by the World Health Organization (WHO) has estimated that malaria causes over 200 million cases of fever annually. The malaria is mostly diagnosed by examining properly stained peripheral blood smear because the protozoal infection parasite invades red blood corpuscles (RBC) of the cardiovascular system.
openaire   +1 more source

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova   +27 more
wiley   +1 more source

AUTO GMM-SAMT: An Automatic Object Tracking System for Video Surveillance in Traffic Scenarios

open access: yesEURASIP Journal on Image and Video Processing, 2011
A complete video surveillance system for automatically tracking shape and position of objects in traffic scenarios is presented. The system, called Auto GMM-SAMT, consists of a detection and a tracking unit.
Quast Katharina, Kaup André
doaj  

Loss Severity Distribution Estimation Of Operational Risk Using Gaussian Mixture Model For Loss Distribution Approach [PDF]

open access: yes, 2016
Banks must be able to manage all of banking risk; one of them is operational risk. Banks manage operational risk by calculates estimating operational risk which is known as the economic capital (EC).
Murfi, H. (Hendri)   +1 more
core  

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh   +3 more
wiley   +1 more source

Characterization of a two‐phase hybrid flotation column

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study explored the performance of a novel hybrid flotation column, which combines the advantages of a mechanically agitated cell with a flotation column and compared the results with a conventional flotation column setup. The experiments were performed in an air/water two‐phase system under varying airflow rates, frother concentrations ...
Pedro Silva Aires   +3 more
wiley   +1 more source

Rhythms in longitudinal thalamic recordings are linked to seizure risk

open access: yesEpilepsia, EarlyView.
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang   +5 more
wiley   +1 more source

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