Relevant bibliographies by topics / Clusters detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Clusters detection'

Author: Grafiati
Published: 15 June 2024
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Clusters detection.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Clusters detection"

1

AHMAD, WASEEM, and AJIT NARAYANAN. "OUTLIER DETECTION USING HUMORAL-MEDIATED CLUSTERING (HAIS)." International Journal of Computational Intelligence and Applications 11, no. 01 (2012): 1250003. http://dx.doi.org/10.1142/s1469026812500034.

Full text
Abstract:
Outlier detection has important applications in various data mining domains such as fraud detection, intrusion detection, customers' behavior and employees' performance analysis. Outliers are characterized by being significantly or "interestingly" different from the rest of the data. In this paper, a novel cluster-based outlier detection method is proposed using a humoral-mediated clustering algorithm (HAIS) based on concepts of antibody secretion in natural immune systems. The proposed method finds meaningful clusters as well as outliers simultaneously. This is an iterative approach where onl
APA, Harvard, Vancouver, ISO, and other styles
2

Xu, Weiwei, Miriam E. Ramos-Ceja, Florian Pacaud, Thomas H. Reiprich, and Thomas Erben. "Catalog of X-ray-selected extended galaxy clusters from the ROSAT All-Sky Survey (RXGCC)." Astronomy & Astrophysics 658 (February 2022): A59. http://dx.doi.org/10.1051/0004-6361/202140908.

Full text
Abstract:
Context. There is a known tension between cosmological parameter constraints obtained from the primary cosmic microwave background and those drawn from galaxy cluster samples. One possible explanation for this discrepancy may be that the incomplete character of detected clusters is higher than estimated and, as a result, certain types of groups or galaxy clusters have been overlooked in the past. Aims. We aim to search for galaxy groups and clusters with particularly extended surface brightness distributions by creating a new X-ray-selected catalog of extended galaxy clusters from the ROSAT Al
APA, Harvard, Vancouver, ISO, and other styles
3

Reduzzi, Carolina, Serena Di Cosimo, Lorenzo Gerratana, et al. "Circulating Tumor Cell Clusters Are Frequently Detected in Women with Early-Stage Breast Cancer." Cancers 13, no. 10 (2021): 2356. http://dx.doi.org/10.3390/cancers13102356.

Full text
Abstract:
The clinical relevance of circulating tumor cell clusters (CTC-clusters) in breast cancer (BC) has been mostly studied using the CellSearch®, a marker-dependent method detecting only epithelial-enriched clusters. However, due to epithelial-to-mesenchymal transition, resorting to marker-independent approaches can improve CTC-cluster detection. Blood samples collected from healthy donors and spiked-in with tumor mammospheres, or from BC patients, were processed for CTC-cluster detection with 3 technologies: CellSearch®, CellSieve™ filters, and ScreenCell® filters. In spiked-in samples, the 3 tec
APA, Harvard, Vancouver, ISO, and other styles
4

Mas, J.-F., A. Pérez Vega, and A. Ghilardi. "EFFECT OF THE DELAY IN THE REPORTS OF COVID-19 CASES ON NEAR REAL-TIME CLUSTERS DETECTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 457–62. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-457-2023.

Full text
Abstract:
Abstract. The COVID-19 pandemic has strongly impacted the vast majority of countries in the world. As of today (April 12th, 2023), more than 762 million confirmed cases and nearly 6.9 million deaths are considered widely underestimated. During a pandemic, detecting clusters of patients is crucial to allocate resources and aiding decision-making better as emergent outbreaks continue to grow. However, delays in reporting suspected or confirmed cases can affect the detection of clusters in near real-time. This study aimed to assess whether the delays in reporting COVID-19 in Mexico presented spec
APA, Harvard, Vancouver, ISO, and other styles
5

Baker, Meghan A., Deborah S. Yokoe, John Stelling, et al. "Automated outbreak detection of hospital-associated pathogens: Value to infection prevention programs." Infection Control & Hospital Epidemiology 41, no. 9 (2020): 1016–21. http://dx.doi.org/10.1017/ice.2020.233.

Full text
Abstract:
AbstractObjective:To assess the utility of an automated, statistically-based outbreak detection system to identify clusters of hospital-acquired microorganisms.Design:Multicenter retrospective cohort study.Setting:The study included 43 hospitals using a common infection prevention surveillance system.Methods:A space–time permutation scan statistic was applied to hospital microbiology, admission, discharge, and transfer data to identify clustering of microorganisms within hospital locations and services. Infection preventionists were asked to rate the importance of each cluster. A convenience s
APA, Harvard, Vancouver, ISO, and other styles
6

Hosaka, Yumiko, Aki Hirabayashi, Adam Clark, et al. "Enhanced automated detection of outbreaks of a rare antimicrobial-resistant bacterial species." PLOS ONE 19, no. 10 (2024): e0312477. http://dx.doi.org/10.1371/journal.pone.0312477.

Full text
Abstract:
Surveillance of antimicrobial resistance (AMR) is a crucial strategy to combat AMR. Using routine surveillance data, we could detect and control hospital outbreaks of AMR bacteria as early as possible. Previously, we developed a framework for automatic detection of clusters of AMR bacteria using SaTScan, a free cluster detection tool integrated into WHONET. WHONET is a free software used globally for microbiological surveillance data management. We applied this framework to data from the Japan Nosocomial Infections Surveillance (JANIS), one of the world’s most comprehensive and largest nationa
APA, Harvard, Vancouver, ISO, and other styles
7

Kremer, Kyle, Dongzi Li, Wenbin Lu, Anthony L. Piro, and Bing Zhang. "Prospects for Detecting Fast Radio Bursts in the Globular Clusters of Nearby Galaxies." Astrophysical Journal 944, no. 1 (2023): 6. http://dx.doi.org/10.3847/1538-4357/acabbf.

Full text
Abstract:
Abstract The recent detection of a repeating fast radio burst (FRB) in an old globular cluster in M81 challenges traditional FRB formation mechanisms based on the magnetic activity of young neutron stars formed in core-collapse supernovae. Furthermore, the detection of this repeater in such a nearby galaxy implies a high local universe rate of similar events in globular clusters. Building off the properties inferred from the M81 FRB, we predict the number of FRB sources in nearby (d ≲ 20 Mpc) galaxies with large globular cluster systems known. Incorporating the uncertain burst energy distribut
APA, Harvard, Vancouver, ISO, and other styles
8

Too, L. S., J. Pirkis, A. Milner, and M. J. Spittal. "Clusters of suicides and suicide attempts: detection, proximity and correlates." Epidemiology and Psychiatric Sciences 26, no. 5 (2016): 491–500. http://dx.doi.org/10.1017/s2045796016000391.

Full text
Abstract:
Background.A suicide cluster is defined as a higher number of observed cases occurring in space and/or time than would typically be expected. Previous research has largely focused on identifying clusters of suicides, while there has been comparatively limited research on clusters of suicide attempts. We sought to identify clusters of both types of behaviour, and having done that, identify the factors that distinguish suicide attempts inside a cluster from those that were outside a cluster.Methods.We used data from Western Australia from 2000 to 2011. We defined suicide attempts as admissions t
APA, Harvard, Vancouver, ISO, and other styles
9

Xu, Haoxi, Yiding Wang, Shifan Hou, and Shichen Wei. "Cluster Detection and Centers of Mass Prediction in Images." Applied and Computational Engineering 131, no. 1 (2025): 40–51. https://doi.org/10.54254/2755-2721/2024.20544.

Full text
Abstract:
This paper provides an exhaustive evaluation of different algorithms for the accurate detection and localization of dense clusters on complex image data with a resolution to maintain real centroids in obscure, overlapping, or densely packed situations. Our approach differs by its use of the local maximum algorithm to quickly identify potential cluster centers (by detecting local maxima in pixel intensity) as a first step. The algorithm starts by initializing cluster centers, which are then refined using the k-Means clustering method that iteratively relocates the positions of these clusters un
APA, Harvard, Vancouver, ISO, and other styles
10

Mirmelstein, M., M. Shimon, and Y. Rephaeli. "Detection likelihood of cluster-induced CMB polarization." Astronomy & Astrophysics 644 (November 30, 2020): A36. http://dx.doi.org/10.1051/0004-6361/201834657.

Full text
Abstract:
Nearby galaxy clusters can potentially induce sub-microkelvin polarization signals in the cosmic microwave background (CMB) at characteristic scales of a few arcminutes. We explore four such polarization signals induced in a rich nearby fiducial cluster and calculate the likelihood of their detection by a telescope project with capabilities such as those of the Simons Observatory (SO). In our feasibility analysis, we include instrumental noise, primordial CMB anisotropy, statistical thermal Sunyaev-Zeldovich (SZ) cluster signal, and point source confusion, assuming a few percent of the nominal
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Clusters detection"

1

Farrens, S. "Optical detection of galaxy clusters." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1318077/.

Full text
Abstract:
This thesis first presents a relatively straight forward approach for detecting galaxy clusters using spectroscopic data. A friend-of-friends algorithm based on that of Huchra & Geller (1982) is implemented with linking parameters that take into account selection effects on the the 2dF-SDSS and QSO (2SLAQ) Luminous Red Galaxy Survey (Cannon et al. 2006). The linking parameters are constrained using a mock halo catalogue. The galaxy groups and clusters found with this method have an average velocity dispersion of \sigma v = 467:97 kms-1 and an average size of R clt = 0:78 h-1Mpc. Cluster masses
APA, Harvard, Vancouver, ISO, and other styles
2

Mundnich, Batic Karel Bogomir. "Early detection of high volatility clusters using particle filters." Tesis, Universidad de Chile, 2013. http://www.repositorio.uchile.cl/handle/2250/115486.

Full text
Abstract:
Ingeniero Civil Electricista<br>El presente trabajo explora y analiza el uso de herramientas de procesamiento de señales que son comunes en áreas de Ingeniería Eléctrica y Pronóstico y Gestión de Salud en el análisis de series de tiempo financieras. El objetivo principal de este trabajo es detectar eventos de alto riesgo en una etapa temprana. De esta forma, el algoritmo propuesto emplea la fuerte relación entre volatilidad y riesgo y detecta clusters de alta volatilidad mediante el uso de la información obtenida de los procesos de estimación a través de Filtro de Partículas. Para
APA, Harvard, Vancouver, ISO, and other styles
3

Crawford, Carolin Susan. "The detection of distant cooling flows." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293490.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

McLoughlin, Kirstin J. "Computer aided detection of microcalcification clusters in digital mammogram images." Thesis, University of Canterbury. Electrical and Computer Engineering, 2004. http://hdl.handle.net/10092/6536.

Full text
Abstract:
Recent advancements in computer technology have ensured that early detection of breast cancer, via computer aided detection (CAD) schemes, has become a rapidly expanding field of research. There is a desire to improve the detection accuracy of breast cancer without increasing the number of falsely identified cancers. The CAD scheme considered here is intended to assist radiologists in the detection of micro calcification clusters, providing a real contribution to the mammography screening process. Factors that affect the detection accuracy of micro calcifications in digital mammograms include
APA, Harvard, Vancouver, ISO, and other styles
5

Forsberg, Viktor. "AUTOMATIC ANOMALY DETECTION AND ROOT CAUSE ANALYSIS FOR MICROSERVICE CLUSTERS." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164740.

Full text
Abstract:
Large microservice clusters deployed in the cloud can be very difficult to both monitor and debug. Monitoring theses clusters is a fi€rst step towards detection of anomalies, deviations from normal behaviour. Anomalies are oft‰en indicators that a component is failing or is about to fail and should hence be detected as soon as possible. Th‘ere are oft‰en lots of metrics available to view. Furthermore, any errors that occur oft‰en propagate to other microservices making it hard to manually locate the root cause of an anomaly, because of this automatic methods are needed to detect and correct t
APA, Harvard, Vancouver, ISO, and other styles
6

Burato, Dario <1993&gt. "Load balancing and fault early detection for Apache Kafka clusters." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15159.

Full text
Abstract:
Apache Kafka is a publish-subscribe message system, producers publish data to a cluster and clients subscribes to receive data. The messages are sent by their producers and stored in partitions, the load balancing is performed thanks to their distribution between the cluster's nodes. The component which assign a message to a partition is called partitioner, located inside every producer. When partitions lacks intrinsic meaning, and are used purely for load-balancing purposes, the default partitioners available with Apache Kafka aim only to get the same amount of messages shared between part
APA, Harvard, Vancouver, ISO, and other styles
7

Toni, Greta. "Detection and characterization of galaxy clusters in the COSMOS field with the AMICO algorithm." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25229/.

Full text
Abstract:
In this work we made use of the AMICO algorithm to detect clusters in COSMOS2015, a photometric galaxy catalogue of the COSMOS field (Laigle+16). We divided our study in two different analyses being the cluster search on r-band photometry in the range 0<z<1.25 and on the H-band photometry in the range 0<z< 1.8. We detected a total number of 481 clusters over the COSMOS field area. We also identified the cluster member galaxies by assigning them a probabilistic membership. During the cluster search we introduced some new methods within AMICO, to allow its application on new kinds of data-sets.
APA, Harvard, Vancouver, ISO, and other styles
8

Marshall, J. Brooke. "Prospective Spatio-Temporal Surveillance Methods for the Detection of Disease Clusters." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/29639.

Full text
Abstract:
In epidemiology it is often useful to monitor disease occurrences prospectively to determine the location and time when clusters of disease are forming. This aids in the prevention of illness and injury of the public and is the reason spatio-temporal disease surveillance methods are implemented. Care must be taken in the design and implementation of these types of surveillance methods so that the methods provide accurate information on the development of clusters. Here two spatio-temporal methods for prospective disease surveillance are considered. These include the local Knox monitoring metho
APA, Harvard, Vancouver, ISO, and other styles
9

Moreira, Gladston Juliano Prates. "The detection of spatial clusters: graph and dynamic programming based methods." Universidade Federal de Minas Gerais, 2011. http://hdl.handle.net/1843/BUOS-8MCG9A.

Full text
Abstract:
This thesis addresses the spatial and space-time cluster detection problem. Two algorithms to solve the typical problem for spatial data sets are proposed. A fast method for the detection and inference of point data set spatial and space-time disease clusters is presented, the Voronoi Based Scan (VBScan). A Voronoi diagram is built for points representing population individuals (cases and controls). The number of Voronoi cells boundaries intercepted by the line segment joining two cases points defines the Voronoi distance between those points. This distance is used to approximate the density o
APA, Harvard, Vancouver, ISO, and other styles
10

Oliveira, Fernando Luiz Pereira de. "Nonparametric intensity bounds for the detection and delineation of spatial clusters." Universidade Federal de Minas Gerais, 2011. http://hdl.handle.net/1843/ICED-8GQJAE.

Full text
Abstract:
There is considerable uncertainty in the disease rate estimation for aggregated area maps, especially for small population areas. As a consequence the delineation of local clustering is subject to substantial variation. Consider the most likely disease cluster produced by any given method, like SaTScan Kulldorff [2006], for the detection and inference of spatial clusters in a map divided into areas; if this cluster is found to be statistically signifcant, what could be said of the external areas adjacent to the cluster? Do we have enough information to exclude them from a health program of pre
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Clusters detection"

1

Rogerson, Peter. Statistical detection and surveillance of geographic clusters. Chapman & Hall/CRC, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Hojjatoleslami, S. A. A system for the detection of clusters of microcalcification in digitized mammograms. Department of Electronic & Electrical Engineering, University of Surrey, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Pauly, Hans. Atom, molecule, and cluster beams I: Basic theory, production and detection of thermal energy beams. Springer Berlin Heidelberg, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Luttrell, Stephen P. A trainable texture anomaly detector using the adaptive cluster expansion (ACE) method. HMSO, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Vavrik, Ursula. A priori and a posteriori travel market segmentation: Tailoring automatic interaction detection and cluster analysis for tourism marketing. Centre des Hautes Etudes Touristiques, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Rogerson, Peter, and Ikuho Yamada. Statistical Detection and Surveillance of Geographic Clusters. Taylor & Francis Group, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Rogerson, Peter, and Ikuho Yamada. Statistical Detection and Surveillance of Geographic Clusters. Chapman and Hall/CRC, 2008. http://dx.doi.org/10.1201/9781584889366.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Statistical Detection and Monitoring of Geographic Clusters. Chapman & Hall/CRC, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Rogerson, Peter, and Ikuho Yamada. Statistical Detection and Surveillance of Geographic Clusters. Taylor & Francis Group, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Rogerson, Peter, and Ikuho Yamada. Statistical Detection and Surveillance of Geographic Clusters. Taylor & Francis Group, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Clusters detection"

1

Jaffe, W. J., A. G. Bruyn, and D. Sijbreng. "HI Absorption Detection in the Perseus Cooling Flow." In Cooling Flows in Clusters and Galaxies. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2953-1_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Duczmal, Luiz H., and André L. F. Cançado. "Irregular Shaped Spatial Clusters: Detection and Inference." In Encyclopedia of GIS. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23519-6_1544-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Duczmal, Luiz H., and André L. F. Cançado. "Irregular Shaped Spatial Clusters: Detection and Inference." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1544.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Manghiuc, Bogdan-Adrian. "Distributed Detection of Clusters of Arbitrary Size." In Structural Information and Communication Complexity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79527-6_21.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lignières, J., B. d’Humières, and J. C. Rivoal. "Linear and circular dichroism detection of magnetic torque on matrix isolated small manganese clusters." In Small Particles and Inorganic Clusters. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76178-2_50.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

McLoughlin, Kristin J., Philip J. Bones, and Peter D. Kovesi. "Detection of Microcalcification Clusters in Digital Mammogram Images." In Digital Mammography. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-59327-7_83.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhao, Qinpei, Ville Hautamaki, and Pasi Fränti. "Knee Point Detection in BIC for Detecting the Number of Clusters." In Advanced Concepts for Intelligent Vision Systems. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88458-3_60.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Andrienko, Natalia, Gennady Andrienko, Georg Fuchs, Salvatore Rinzivillo, and Hans-Dieter Betz. "Real Time Detection and Tracking of Spatial Event Clusters." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23461-8_38.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Davies, D. H., and D. R. Dance. "Automatic Detection of Clusters of Calcifications in Digital Mammograms." In CAR’89 Computer Assisted Radiology / Computergestützte Radiologie. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52311-3_33.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kumar, Arun, and Vishal Verma. "Relationships Among Human Genome Graph Elements Using Clusters Detection." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09469-9_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Clusters detection"

1

Oliveira, Dênis, Anderson R. Duarte, Eduardo Luz, and Gladston Moreira. "Reinforcement Learning for the Detection of Arbitrary Shaped Spatial Clusters." In 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2024. https://doi.org/10.1109/la-cci62337.2024.10814900.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kapparad, Pranav, and Biju R. Mohan. "Tighter Clusters, Safer Code? Improving Vulnerability Detection with Enhanced Contrastive Loss." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-srw.24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Khandelwal, Animan, Santhi H, and Devdatta Wagh. "From Clusters to Scores: Unsupervised Acne Detection and Severity Assessment with Deep Learning." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763228.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Schreiber, E., K. Kobe, H. Kühling, et al. "Ultrafast Spectroscopy of Alkali Clusters." In International Conference on Ultrafast Phenomena. Optica Publishing Group, 1994. http://dx.doi.org/10.1364/up.1994.thb.5.

Full text
Abstract:
The fragmentation and wavepacket propagation dynamics of small neutral potassium and sodium clusters in a supersonic cluster beam were investigated using pico- and femtosecond two photon ionization spectroscopy followed by mass-selective detection.
APA, Harvard, Vancouver, ISO, and other styles
5

C V, Manjushree, and A. N. Nandakumar. "Malware Detection across Clusters." In 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2023. http://dx.doi.org/10.1109/iitcee57236.2023.10090979.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Murray, Brian, and Lokukaluge P. Perera. "Unsupervised Trajectory Anomaly Detection for Situation Awareness in Maritime Navigation." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18281.

Full text
Abstract:
Abstract Situation awareness is essential in conducting effective collision avoidance in potential ship encounter situations. It has been shown that data driven trajectory prediction techniques, utilizing historical AIS data, have the potential to aid in providing such awareness. However, such data driven techniques will not perform well for unusual ship behavior, i.e. anomalous trajectories. Additionally, such anomalies in the dataset can corrupt the predictions. In this study, an unsupervised approach to anomaly detection is presented to aid such trajectory predictions. Gaussian Mixture Mode
APA, Harvard, Vancouver, ISO, and other styles
7

Mittal, Mamta, V. P. Singh, and Sharma R. K. "Random automatic detection of clusters." In 2011 IEEE International Conference on Image Information Processing (ICIIP). IEEE, 2011. http://dx.doi.org/10.1109/iciip.2011.6108856.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Steadman, J., E. W. Fournier, and J. A. Syage. "Detection and Differentiation of Neutral and Ionic Reaction Mechanisms in Molecular Clusters." In Laser Applications to Chemical Analysis. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/laca.1990.pd4.

Full text
Abstract:
A longstanding goal in the chemical analysis of reaction mechanisms is understanding the role of the solvent. We have been involved in work that addresses this issue on a single molecule basis by studying reactions in molecular clusters.1–3 In this report we describe a means for detecting and measuring rapid intermolecular cluster chemistry using mass-selective picosecond resonance-enhanced multiphoton ionization (REMPI). Molecular beam mass spectrometry offers a powerful means for identifying a variety of product species and distinguishing precursor cluster size. However, such investigations
APA, Harvard, Vancouver, ISO, and other styles
9

Cox, D. M., M. R. Zakin, R. O. Brickman, D. J. Trevor, K. C. Reichmann, and A. Kaldor. "Infrared photodissociation spectroscopy of unsupported metal clusters and metal cluster complexes." In International Laser Science Conference. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.fn2.

Full text
Abstract:
The recent development of a general source to produce gas phase metal clusters using laser vaporization combined with mass selective detection techniques has enabled new studies of the fundamental chemical and physical properties of clusters as a function of their size. In our laboratory we have developed and applied a variety of experimental techniques to measure ionization thresholds, magnetic moments, and gas phase reactivities of metal clusters. We now report the first observation of infrared laser-induced dissociation (IR-LID) of metal cluster–adsorbate complexes in a molecular beam. Spec
APA, Harvard, Vancouver, ISO, and other styles
10

Cox, D. M., M. R. Zakin, R. O. Brickman, D. J. Trevor, K. C. Reichmann, and A. Kaldor. "Infrared photodissociation spectroscopy of unsupported metal clusters and metal cluster complexes." In OSA Annual Meeting. Optica Publishing Group, 1986. http://dx.doi.org/10.1364/oam.1986.fn2.

Full text
Abstract:
The recent development of a general source to produce gas phase metal clusters using laser vaporization combined with mass selective detection techniques has enabled new studies of the fundamental chemical and physical properties of clusters as a function of their size. In our laboratory we have developed and applied a variety of experimental techniques to measure ionization thresholds, magnetic moments, and gas phase reactivities of metal clusters. We now report the first observation of infrared laser-induced dissociation (IR-LID) of metal cluster-adsorbate complexes in a molecular beam. Spec
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Clusters detection"

1

Lawrence, Kaitlyn, Wendy Kuhne, and Ashlee Swindle. Development of FRET clusters for CBRN Detection. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1651109.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Campi, Mercedes, and Marco Dueñas. Clusters and Resilience during the COVID–19 Crisis: Evidence from Colombian Exporting Firms. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004474.

Full text
Abstract:
In this paper, we characterize the geography of Colombian exporting clusters and analyze how the COVID-19 crisis has affected Colombian exporters. We contribute to the industrial clusters literature by defining exporting clusters with bipartite network analysis and community detection tools. The methodology allows us to empirically detect product clusters, which are compared with an alternative definition of industrial clusters, and to consider the centrality of firms within clusters. Then, we analyze the firms trade margins during the COVID-19 crisis to evaluate whether belonging to an export
APA, Harvard, Vancouver, ISO, and other styles
3

Piacentine, J. Detection of Galaxy Clusters with the XMM-Newton Large Scale Structure Survey. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/833122.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Uy, D. L. An algorithm for image clusters detection and identification based on color for an autonomous mobile robot. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/184307.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Cytryn, E., Sean F. Brady, and O. Frenkel. Cutting edge culture independent pipeline for detection of novel anti-fungal plant protection compounds in suppressive soils. United States-Israel Binational Agricultural Research and Development Fund, 2022. http://dx.doi.org/10.32747/2022.8134142.bard.

Full text
Abstract:
Fusarium oxysporum spp. causes Panama disease in bananas and crown and root rot in an array of vegetables and field crops, but increased regulations have restricted the use of many conventional chemical pesticides, and there are a limited number of commercially available products effective against them. The soil microbiome represents a largely untapped reservoir of secondary metabolites that can potentially antagonize fungal pathogens. However, most soil bacteria cannot be cultivated using conventional techniques and therefore most of these compounds remain unexplored. The overall goal of this
APA, Harvard, Vancouver, ISO, and other styles
6

Kirichek, Galina, Vladyslav Harkusha, Artur Timenko, and Nataliia Kulykovska. System for detecting network anomalies using a hybrid of an uncontrolled and controlled neural network. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3743.

Full text
Abstract:
In this article realization method of attacks and anomalies detection with the use of training of ordinary and attacking packages, respectively. The method that was used to teach an attack on is a combination of an uncontrollable and controlled neural network. In an uncontrolled network, attacks are classified in smaller categories, taking into account their features and using the self- organized map. To manage clusters, a neural network based on back-propagation method used. We use PyBrain as the main framework for designing, developing and learning perceptron data. This framework has a suffi
APA, Harvard, Vancouver, ISO, and other styles
7

Stalley, Sean. Clustered Hyperspectral Target Detection. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.7514.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hao, Jiangang. Optical galaxy cluster detection across a wide redshift range. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/971005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kumar, Prabhat, Melvin Felton, David Ligon, Sandra Collier, and Deryck James. Machine-Learning Groundwork and Cluster Analysis for Vortex Detection. DEVCOM Army Research Laboratory, 2022. http://dx.doi.org/10.21236/ad1165710.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wessel, J. Molecular detection using Rydberg, autoionizing, and cluster states. Progress report. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/674621.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Clusters detection' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography