Semiparametric constant false alarm rate method for radar and sonar images
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
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]
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)
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
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
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]
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
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
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
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

