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Fully Automated Integrated Segmentation of Carotid Artery Ultrasound Images Using DBSCAN and Affinity Propagation
2021
Journal of Medical and Biological Engineering
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The segmented results are analyzed with Gradient Vector Flow (GVF) snake model and Particle Swarm Optimization (PSO) clustering based segmentation using various performance measures. ...
with Noise (DBSCAN) for super pixel segmentation. ...
Acknowledgements "The authors thankfully acknowledges the financial support provided by The Institution of Engineers (India) for carrying out Research & Development work in this subject". ...
doi:10.1007/s40846-020-00586-9
fatcat:rxxwsryxxnehnouqqqmyvhjd4q
Social Interactions for Autonomous Driving: A Review and Perspectives
[article]
2022
arXiv
pre-print
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No human drives a car in a vacuum; she/he must negotiate with other road users to achieve their goals in social traffic scenes. ...
This paper reviews various approaches to modeling and learning the social interactions between human drivers, ranging from optimization theory and graphical models to social force theory and behavioral ...
Acknowledgements We would like to acknowledge support for this project from 2020 IVADO Postdoctoral Fellowship Awards (IVADO-PostDoc-2020a-5297372919) and IVADO MSc Excellence Scholarship (IVADO-MSc-2020 ...
arXiv:2208.07541v3
fatcat:d2h4lpnpzrd4nhkm4sfqc3h7ci
Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles
2015
2015 International Joint Conference on Neural Networks (IJCNN)
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Swarm Intelligence
Monday, July 13, 4:40PM-6:20PM, Room: Park Suite, Chair: Yeh, Wei-Chang
4:40PM Solving reliability redundancy allocation problems with orthogonal simplified swarm optimization [#15220 ...
Two-step Clustering [#15443]
Clayton Smith and Donald Wunsch
P113 Particle Swarm Optimization in an Adaptive Resonance Framework [#15442]
Clayton Smith and Donald Wunsch
P114 A Novel Diversity-Guided ...
doi:10.1109/ijcnn.2015.7280446
dblp:conf/ijcnn/YangLNF15
fatcat:6xlakikcfzfyhhm2spooe2j7ra
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
2018
Journal of Internet Services and Applications
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Therefore, this is a timely contribution of the implications of ML for networking, that is pushing the barriers of autonomic network operation and management. ...
In this way, readers will benefit from a comprehensive discussion on the different learning paradigms and ML techniques applied to fundamental problems in networking, including traffic prediction, routing ...
Acknowledgments We thank the anonymous reviewers for their insightful comments and suggestions that helped us improve the quality of the paper. ...
doi:10.1186/s13174-018-0087-2
fatcat:jvwpewceevev3n4keoswqlcacu
Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents
2014
International Journal of Computer Vision
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Once learned from the trajectories extracted from videos, MDA can simulate the crowd behaviors. ...
Automatically understanding collective crowd behaviors has important applications to video surveillance, traffic management and crowd control, while it is closely related to science fields such as statistical ...
It is interesting to investigate how the dynamic and belief parameters change with crowd density. Fig. 1 A 1 ) Marathon race at the street corner and traffic flow at the street intersection. ...
doi:10.1007/s11263-014-0735-3
fatcat:nirnd5euwbae7kl2aftcf4ju3u
Fake BTS Attacks of GSM System on Software Radio Platform
2012
Journal of Networks
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A Review on Cloud Computing Development Sugang Ma 222 229 236 243 249 259 267 275 282 288 300 305 REGULAR PAPERS Real Time Intrusion Prediction based on Optimized Alerts with Hidden Markov Model and Security ...
Furthermore, the advantages of APANC in time costs could be greater when data scale increases. ...
AN IMPROVED PARTICLE SWARM OPTIMIZATION PSO is based on two fundamental disciplines: social science and computer science. ...
doi:10.4304/jnw.7.2.275-281
fatcat:3ejjimllcvewjeifopbvhl3zmi
Biological Robots: Perspectives on an Emerging Interdisciplinary Field
[article]
2022
arXiv
pre-print
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multi-scale control, self-assembly, and relationships between form and function. ...
In this essay, we discuss issues at the intersection of developmental biology, computer science, and robotics. ...
Approved for public release; distribution is unlimited. This research was also supported by the Allen Discovery Center program through The Paul G. ...
arXiv:2207.00880v1
fatcat:7cesddkbgjed7llfhcj7mqvquy
2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50
2020
IEEE Transactions on Systems, Man & Cybernetics. Systems
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TSMC Nov. 2020 4732-4745 Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data. ...
., +, TSMC July 2020 2445-2455 Chaos Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data. ...
doi:10.1109/tsmc.2021.3054492
fatcat:zartzom6xvdpbbnkcw7xnsbeqy
Characterizing application scheduling on edge, fog, and cloud computing resources
2019
Software, Practice & Experience
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2019 pre-print arXiv:1904.10125v1 fatcat:uzw7cybjrrflpfxmbjok3t6gle
At the same time, there is also value in using these resources cohesively for application execution. ...
However, the application programming and scheduling models for edge and fog are still maturing, and can benefit from learnings on cloud resources. ...
Meta-heuristics have been categorized into trajectory-based and population-based methods, with simulated annealing falling in the former category, and genetic algorithm (GA), particle swarm optimization ...
doi:10.1002/spe.2699
fatcat:ywvul6s2j5hgthectdnbh7mnbq
Relationship between room shape and acoustics of rectangular concert halls
2008
Journal of the Acoustical Society of America
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As a case study, several types of road intersections under various traffic demand and traffic composition conditions are considered. ...
The global minimum is found using modern optimisation techniques like Particle Swarm Optimisation ͑PSO͒ or Differential Evolution ͑DE͒. The total system is evaluated with subject experiments. ...
This is accomplished by minimizing the differences between the MBES measurements in the overlap region using a Levenberg-Marquardt optimization routine. ...
doi:10.1121/1.2933354
fatcat:eymbpllxwjcfdbkedeijrtwbwq
Green's-function reaction dynamics: A particle-based approach for simulating biochemical networks in time and space
2005
Journal of Chemical Physics
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As a case study, several types of road intersections under various traffic demand and traffic composition conditions are considered. ...
The global minimum is found using modern optimisation techniques like Particle Swarm Optimisation ͑PSO͒ or Differential Evolution ͑DE͒. The total system is evaluated with subject experiments. ...
The main study area covers various signal processing techniques in time, time-frequency and potentially frequency domains with signal classification implemented using a range of artificial intelligence ...
doi:10.1063/1.2137716
pmid:16392952
fatcat:tyehqewfnzahfju3rxvivugvaa
Nonnative listeners prefer perceptual cues they know from their L1: Dutch listeners use vowel duration less than English listeners for English final /v/‐/f/
2008
Journal of the Acoustical Society of America
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The file type is application/pdf.
As a case study, several types of road intersections under various traffic demand and traffic composition conditions are considered. ...
The global minimum is found using modern optimisation techniques like Particle Swarm Optimisation ͑PSO͒ or Differential Evolution ͑DE͒. The total system is evaluated with subject experiments. ...
The main study area covers various signal processing techniques in time, time-frequency and potentially frequency domains with signal classification implemented using a range of artificial intelligence ...
doi:10.1121/1.2933287
fatcat:gqdetkftz5cmrghkql35figuw4
Deep Learning in Science
[article]
2020
arXiv
pre-print
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We find that DL adoption is negatively correlated with re-combinatorial novelty, but positively correlated with expectation as well as variance of citation performance. ...
Much of the recent success of Artificial Intelligence (AI) has been spurred on by impressive achievements within a broader family of machine learning methods, commonly referred to as Deep Learning (DL) ...
probabilistic neural network
pso
particle swarm optimization
psrnns
predictive state recurrent neural networks
rbf
radial basis function
rbfn
radial basis function network
rbms
restricted ...
arXiv:2009.01575v2
fatcat:4ttqgjdjfjbydp7flnhcgg5p7m
A binaural advantage in the subjective modulation transfer function with simple impulse responses
2008
Journal of the Acoustical Society of America
Preserved Fulltext
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As a case study, several types of road intersections under various traffic demand and traffic composition conditions are considered. ...
The global minimum is found using modern optimisation techniques like Particle Swarm Optimisation ͑PSO͒ or Differential Evolution ͑DE͒. The total system is evaluated with subject experiments. ...
Particles filter applied in the real-time bearings-only tracking problem of a sonar target. Cleide V. ...
doi:10.1121/1.2933699
fatcat:4nc5pg4ysbhgrjcatwhr7fh77q
On determination of microphone response and other parameters by a hybrid experimental and numerical method
2008
Journal of the Acoustical Society of America
Preserved Fulltext
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The file type is application/pdf.
As a case study, several types of road intersections under various traffic demand and traffic composition conditions are considered. ...
The global minimum is found using modern optimisation techniques like Particle Swarm Optimisation ͑PSO͒ or Differential Evolution ͑DE͒. The total system is evaluated with subject experiments. ...
Particles filter applied in the real-time bearings-only tracking problem of a sonar target. Cleide V. ...
doi:10.1121/1.2933455
fatcat:gl6kkwih6rbkriigc7g6ghdlnq
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