Results 31 to 40 of about 4,170,754 (298)

Cluster algorithms [PDF]

, 1997
Cluster algorithms for classical and quantum spin systems are discussed. In particular, the cluster algorithm is applied to classical O(N) lattice actions containing interactions of more than two spins.
A. D. Sokal, A. Hasenfratz, C. Holm, C. M. Fortuin, F. Niedermayer, F. Niedermayer, H. G. Evertz, I. Dimitrovic, J. G. Bednorz, K. Symanzik, M. Creutz, M. Hasenbusch, N. Madras, P. Hasenfratz, P. Hasenfratz, P. W. Kasteleyn, R. G. Edwards, R. G. Edwards, R. H. Swendsen, S. L. Adler, U. Wolff, U. Wolff, U. Wolff, U.-J. Wiese, W. Janke, W. Janke, W. Kerler   +26 more
core   +2 more sources

Cluster–cluster fusion

Comptes Rendus. Physique, 2002
An experimental study of molecular fusion in fullerene–fullerene collisions is presented and the theoretical interpretation of the cross section is reconsidered in terms of phase space arguments and competition with direct collision induced dissociation.
Eleanor E.B. Campbell, Alexi V. Glotov, Andreas Lassesson, Raphael D. Levine   +3 more
openaire   +1 more source

A Comparison of Parallel Graph Processing Implementations

, 2017
The rapidly growing number of large network analysis problems has led to the emergence of many parallel and distributed graph processing systems---one survey in 2014 identified over 80.
Norris, Boyana, Pollard, Samuel
core   +1 more source

Cluster–cluster aggregation with mobile impurities [PDF]

Journal of Sol-Gel Science and Technology, 2019
We considered the diffusion-limited cluster–cluster aggregation (DLCA) model in the presence of inert template (mobile impurities) for the simulation of mesoporous materials obtained through sol–gel processes. A computer algorithm based on the off-lattice version of the two-dimensional DLCA model with moving impurities is introduced.
Hashmy, Anwar, Woignier, Thierry, Primera, Juan   +2 more
openaire   +3 more sources

AI-Based Approaches for Analyzing EEG Signals to Identify Epileptic Seizures: A Survey

Applied Computational Intelligence and Soft Computing
Electroencephalography (EEG) is a fundamental tool for monitoring brain activity and is widely used in the diagnosis and management of epilepsy. With the growing prevalence of epilepsy and the limitations of manual EEG interpretation, artificial ...
Daniel Moges Tadesse, Olyad Mulugeta Gonfa, Naod Demissie Workafesku, Eshtaol Girma Bayessa, Samuel Rahimeto Kebede, Taye Girma Debele, Fraol Gelana Waldamichael, Hiwot Taye Mekonnen, Tariku Fekadu Assore, Medina Fedlu Mehammed   +9 more
doaj   +1 more source

Reduction in Average Ambulance Response Time of Interfacility Transfer for Life-saving Cases (STEMI, STROKE, RTA) in Eastern Health Cluster of Saudi Arabia

Saudi Journal of Emergency Medicine
Introduction: Interfacility transport (IFT) is a complex component of out-of-hospital Emergency Medical Services (EMS) which provides care and transport to patients who need transfer from one facility to another.
Mobarak AlMulhim, Almohannad Edah, Sultan AlAnzi, Muhammad Bilal Maqsood   +3 more
doaj   +1 more source

First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic

Journal of Transportation and Logistics, 2023
It is vital that post-disaster interventions are fast and effective. At this point, the integration of unmanned aerial vehicles in post-disaster logistics, mapping operations, assessment, search and rescue operations has the potential for process ...
Zeynep Yüksel, Dursun Emre Epcim, Süleyman Mete   +2 more
doaj   +1 more source

GraphH: High Performance Big Graph Analytics in Small Clusters

, 2017
It is common for real-world applications to analyze big graphs using distributed graph processing systems. Popular in-memory systems require an enormous amount of resources to handle big graphs. While several out-of-core approaches have been proposed for
Duong, Ta Nguyen Binh, Sun, Peng, Wen, Yonggang, Xiao, Xiaokui   +3 more
core   +1 more source

Percolation in cluster-cluster aggregation processes [PDF]

Physical Review E, 1996
Comment: RevTex, 5 pages + 7 postscript figures, compressed using "uufiles"
Hasmy, Anwar, Jullien, Rémi
openaire   +3 more sources

NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer

BMC Medical Genomics, 2019
Background The accurate screening of tumor genomic landscapes for somatic mutations using high-throughput sequencing involves a crucial step in precise clinical diagnosis and targeted therapy.
Irantzu Anzar, Angelina Sverchkova, Richard Stratford, Trevor Clancy   +3 more
doaj   +1 more source