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237 articles for “objects”
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Research ArticleOpen accessIn the abstractChemical Composition and Antibacterial Activity of Subcritical CO2 Extract of Beta vulgaris L.Aidana Yerubay, Saule Akhmetova et al.The perpetual quest for novel antimicrobial agents is an ongoing endeavor within the scientific community. Contemporary investigations concerning members of the family Amaranthaceae, Beta vulgaris, have disclosed significant therapeutic properties in plants that were formerly exclusively employed as dietary resources. The roots and stems of red beets (Beta vulgaris L. var. conditiva) have been found to possess medicinal properties attributed … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 4 Jan 2024 · 4,970 accessesView PDFCite
Research ArticleOpen accessIn the abstractFractional Lion Algorithm-An Optimization Algorithm for Data ClusteringSatish Chander, P. Vijaya, Praveen DhyaniClustering divides the data available as bulk into meaningful, useful groups (Clusters) without any prior knowledge about the data. Cluster analysis provides an abstraction from individual data objects to the clusters in which those objects reside. It is a key technique in the data mining and has become an important issue in many fields. This paper presents a novel Fractional … …Journal of Computer Science, Vol. 12, Issue 7 · 12 Aug 2016 · 7,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmbedded Architecture for Object Tracking using Kalman FilterAhmad Abdul Qadir Al RababahIntelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interest, which represents … …Journal of Computer Science, Vol. 12, Issue 5 · 18 May 2016 · 7,419 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of an Anthropomorphic Gripping Manipulator: The Study of Kinematics and Virtual Modeling of GripIvan Vladimirovich Krechetov, Arkady Alekseevich Skvortsov, Pavel Sergeevich Lavrikov, Danil Vladilenovich YatskinThe article is a study into the kinematic scheme of a newly developed anthropomorphic manipulator designed to perform gripping and holding tasks on items from a predefined set. Within the study is the implementation of a mathematical model describing the kinematics of a multilink manipulator using the GraspIt package. The method used in this study allows for the calculation of … …American Journal of Applied Sciences, Vol. 13, Issue 1 · 8 Jan 2016 · 7,677 accessesView PDFCite
Research ArticleOpen accessIn the abstractPedestrian Detection in RGB-D Data Using Deep AutoencodersPavel Aleksandrovich Kazantsev, Pavel Vyacheslavovich SkribtsovRecent popularity of RGB-D sensors mostly comes from the fact that RGB-images and depth maps supplement each other in machine vision tasks, such as object detection and recognition. This article addresses a problem of RGB and depth data fusion for pedestrian detection. We propose pedestrian detection algorithm that involves fusion of outputs of 2D- and 3D-detectors based on deep autoencoders. … …American Journal of Applied Sciences, Vol. 12, Issue 11 · 17 Nov 2015 · 6,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractInterface between the Ratio β with Area Under the ROC Curve and Kullback-Leibler Divergence Under the Combination of Half Normal and Rayleigh DistributionsSaebugari Balaswamy, Rudravaram Vishnu VardhanClassifying objects/individuals is common problem of interest. Receiver Operating Characteristic (ROC) curve is one such tool which helps in classifying the objects/individuals into one of the two known groups or populations. The present work focuses on proposing a Hybrid version of the ROC model. Usually the test scores of the two populations namely normal and abnormal tend to follow some … …Current Research in Biostatistics, Vol. 5, Issue 2 · 12 Nov 2015 · 7,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMBINATION OF DIFFERENCE SUBSPACE AND OPPURTUNISTIC CLUSTERING ON HIGH DIMENSIONAL DATAM. Ravichandran, A. ShanmugamClustering is recognized as sigificant technique for analysing data and concentric effort has been taken in different domains comprises of recognition of pattern, statistical analysis and data mining for decades. Subspace clustering is developed from the group of cluster objects from all subspaces of a dataset. During clustering of objects involing higher dimension, the accuracy and effectiveness of traditional clustering … …Journal of Computer Science, Vol. 10, Issue 8 · 11 Mar 2014 · 6,355 accessesView PDFCite
Research ArticleOpen accessIn the abstractMOTION DETECTION USING THE SPACE-TIME INTEREST POINTSInsaf Bellamine, Hamid TairiSpace-Time Interest Points (STIP) are among all the interesting features which can be extracted from videos; they are simple, robust and they allow a good characterization of a set of regions of interest corresponding to moving objects in a three-dimensional observed scene. In this study, we show how the resulting features often reflect interesting events that can be used for … …Journal of Computer Science, Vol. 10, Issue 5 · 17 Jan 2014 · 6,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractPLANT RECOGNITION USING STEREO LEAF IMAGE USING GRAY-LEVEL CO-OCCURRENCE MATRIXHermawan Syahputra, Agus Harjoko, Retantyo Wardoyo, Reza PulunganAdequate knowledge, such as information about the unique characteristics of each plant, is necessary to identify plant. Researchers have made plant recognition based on leaf characteristics. The leaf image-based plant recognition in view of different angles is a new challenge. In this study, the research on the plant recognition was conducted based on leaf images resulted from 3D stereo camera. … …Journal of Computer Science, Vol. 10, Issue 4 · 24 Dec 2013 · 8,116 accessesView PDFCite
Research ArticleOpen accessIn the abstractSHADOW DETECTION USING COLOR AND EDGE INFORMATIONMaryam Golchin, Fatimah Khalid, Lili Nurliana Abdullah, Seyed Hashem DavarpanahShadows appear in many scenes. Human can easily distinguish shadows from objects, but it is one of the challenges for shadow detection intelligent automated systems. Accurate shadow detection can be difficult due to the illumination variations of the background and similarity between appearance of the objects and the background. Color and edge information are two popular features that have been … …Journal of Computer Science, Vol. 9, Issue 11 · 5 Oct 2013 · 7,961 accessesView PDFCite