Results 61 to 70 of about 33,807 (240)
Fast Monte-Carlo Localization on Aerial Vehicles using Approximate Continuous Belief Representations
, 2018 Size, weight, and power constrained platforms impose constraints on computational resources that introduce unique challenges in implementing localization algorithms.
Dhawale, Aditya +2 more
core +1 more source
Arthritis &Rheumatology, Accepted Article.Objective Osteoporosis causes fractures which further increase the disease burden of rheumatoid arthritis (RA), however, osteoporosis treatment rates remain low. While several studies have reported that biologic or targeted synthetic disease‐modifying antirheumatic drugs (b/tsDMARDs) can prevent or improve osteoporosis in RA, our large‐scale, real ...
Takafumi Aritomi +30 more
wiley +1 more source
Semiparametric constant false alarm rate method for radar and sonar images
Electronics LettersThis 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
Measurement: 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
Malarial Parasite Detection Using Gaussian Mixture Model(Gmm)
, 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
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business 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
AUTO GMM-SAMT: An Automatic Object Tracking System for Video Surveillance in Traffic Scenarios
EURASIP 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
, 2014 We develop a novel peak detection algorithm for the analysis of comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC$\times$GC-TOF MS) data using normal-exponential-Bernoulli (NEB) and mixture probability models.
Jeong, Jaesik +4 more
core +1 more source
Characterization of a two‐phase hybrid flotation column
The 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
, 2009 We present a new framework to detect various types of variable objects within massive astronomical time-series data. Assuming that the dominant population of objects is non-variable, we find outliers from this population by using a non-parametric ...
Akerlof +57 more
core +1 more source