Learning Automata in Control Planning Strategies

2011 ◽  
pp. 27-54
Author(s):  
Erik Cuevas ◽  
Daniel Zaldivar ◽  
Marco Perez-Cisneros ◽  
Raúl Rojas
Keyword(s):  
Learning Automata ◽  
Planning Strategies

Path planning strategies for laser line forming

2003 ◽  
Author(s):  
Edward Reutzel ◽  
Kevin Gombotz ◽  
Richard Martukanitz ◽  
Panagiotis Michaleris
Keyword(s):  
Path Planning ◽  
Laser Line ◽  
Planning Strategies

scholarly journals Improved dynamics of sharing research findings in the COVID-19 epidemic compared with the SARS and Ebola epidemics

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Javad Khanali ◽  
Mohammad-Reza Malekpour ◽  
Ali-Asghar Kolahi
Keyword(s):  
Numerical Data ◽  
Public Health Emergency ◽  
Value Of Time ◽  
Time Period ◽  
Pubmed Database ◽  
Before And After ◽  
Major Outbreak ◽  
Research Findings ◽  
Emergent Pathogen ◽  
Planning Strategies

Abstract Background When a new or re-emergent pathogen, such as SARS-CoV-2, causes a major outbreak, rapid access to pertinent research findings is crucial for planning strategies and decision making. We researched whether the speed of sharing research results in the COVID-19 epidemic was higher than the SARS and Ebola epidemics. We also researched whether there is any difference in the most frequent topics investigated before and after the COVID-19, SARS, and Ebola epidemics started. Methods We used PubMed database search tools to determine the time-period it took for the number of articles to rise after the epidemics started and the most frequent topics assigned to the articles. Results The main results were, first, the rise in the number of articles occurred 6 weeks after the COVID-19 epidemic started whereas, this rise occurred 4 months after the SARS and 7 months after the Ebola epidemics started. Second, etiology, statistics & numerical data, and epidemiology were the three most frequent topics investigated in the COVID-19 epidemic. However, etiology, microbiology, and genetics in the SARS epidemic, and statistics & numerical data, epidemiology, and prevention & control in the Ebola epidemic were more frequently studied compared with other topics. Third, some topics were studied more frequently after the epidemics started. Conclusions The speed of sharing results in the COVID-19 epidemic was much higher than the SARS and Ebola epidemics, and that there is a difference in the most frequent articles’ topics investigated in these three epidemics. Due to the value of time in controlling epidemics spread, the study highlights the necessity of defining more solutions for rapidly providing pertinent research findings in fighting against the next public health emergency.

SIG-CLA: A Significant Community Detection based on Cellular Learning Automata

2020 ◽  
Author(s):  
Mohammad Mehdi Daliri Khomami ◽  
Alireza Rezvanian ◽  
Ali Mohammad Saghiri ◽  
Mohammad Reza Meybodi
Keyword(s):  
Community Detection ◽  
Learning Automata ◽  
Cellular Learning Automata

scholarly journals Automatic feathering algorithm for VMAT craniospinal irradiation: A comprehensive comparison with other VMAT planning strategies

2020 ◽  
Author(s):  
Michele Maddalo ◽  
Giovanna Benecchi ◽  
Luisa Altabella ◽  
Caterina Ghetti ◽  
Nunziata D'Abbiero
Keyword(s):  
Craniospinal Irradiation ◽  
Comprehensive Comparison ◽  
Planning Strategies

scholarly journals Analyzing the Patterns, Trends and Dynamics of the Land-Use Changes in Azores Region: From 1990 to 2018

2021 ◽  
Vol 13 (10) ◽  
pp. 5433
Author(s):  
Rui Alexandre Castanho ◽  
José Manuel Naranjo Gómez ◽  
Gualter Couto ◽  
Pedro Pimentel ◽  
Áurea Sousa ◽  
...  
Keyword(s):  
Land Use ◽  
Development Strategy ◽  
Land Use Changes ◽  
Regional Government ◽  
Land Uses ◽  
Comprehensive Planning ◽  
Sustainability Planning ◽  
The Enlightenment ◽  
Planning Strategies ◽  
Agricultural Areas

The remarkable richness and singularity of the Azorean Region (located 38° North) and its landscapes require a sharp, well-defined, and comprehensive planning policy. Bearing in mind the significance of this issue in the enlightenment of sustainability, planning strategies should be based and supported by different studies and thematic domains to understand the problem thoroughly. Using GIS (Geographic Information Systems), the present article enables us to identify the dynamics and patterns of the evolution of the Land-Use Changes in the Azores Region from 1990 to 2018. In aggregate, the Azores islands showed growth in artificial surfaces and forest and seminatural land-uses by essentially decreasing agricultural areas—most resulting from the economic and social development strategy pursued by several Azorean governments. Moreover, this study permits us to reinforce that the Azores Archipelago’s land-uses has undergone multiple changes—marked by increasing and decreasing periods. In fact, some of these reducing dynamics are disturbing. They require closer monitorization by regional government actors to give protection, preservation, and conservation to these incomparable ultra-peripheral landscapes, environments, ecosystems, and the region as a whole.

scholarly journals Coastal flood risk within a peri-urban area: SUSSEX Inlet district, SE Australia

2021 ◽  
Author(s):  
E. F. Asbridge ◽  
D. Low Choy ◽  
B. Mackey ◽  
S. Serrao-Neumann ◽  
P. Taygfeld ◽  
...  
Keyword(s):  
Flood Risk ◽  
Flood Hazard ◽  
Extreme Rainfall ◽  
Cost Effective ◽  
Extreme Rainfall Events ◽  
Hazard Exposure ◽  
Rate Of Increase ◽  
Eastern Australia ◽  
Planning Strategies ◽  
Natural Resource Managers

AbstractThe peri-urban interface (PUI) exhibits characteristic qualities of both urban and rural regions, and this complexity has meant that risk assessments and long-term planning for PUI are lagging, despite these areas representing new developing settlement frontiers. This study aims to address this knowledge gap by modifying an existing approach to quantify and assess flood risk. The risk triangle framework was used to map exposure, vulnerability and biophysical variables; however, in a novel application, the risk triangle framework was adapted by presuming that there is a variation in the degree of exposure, vulnerability and biophysical variables. Within Australia and globally, PUIs are often coastal, and flood risk associated with rainfall and coastal inundation poses considerable risk to communities in the PUI; these risks will be further exacerbated should projections of increasing frequency of extreme rainfall events and accelerating sea-level rise eventuate. An indicator-based approach using the risk triangle framework that maps flood hazard, exposure and vulnerability was used to integrate the biophysical and socio-economic flooding risk for communities in PUI of the St Georges Basin and Sussex Inlet catchments of south-eastern Australia. Integrating the flood risk triangle with future scenarios of demographic and climate change, and considering factors that contribute to PUI flood risk, facilitated the identification of planning strategies that would reduce the future rate of increase in flood risk. These planning strategies are useful for natural resource managers and land use planners across Australia and globally, who are tasked with balancing socio-economic prosperity for a changing population, whilst maintaining and enhancing ecosystem services and values. The indicator-based approach used in this study provides a cost-effective first-pass risk assessment and is a valuable tool for decision makers planning for flood risk across PUIs in NSW and globally.

Deterministic estimator learning automata-based neighbor discovery schemes for D2D networks with directional antennas

2021 ◽  
pp. 101329
Author(s):  
Weidang Lu ◽  
Lixia Weng ◽  
Chenkai Li ◽  
Guoxing Huang ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Learning Automata ◽  
Directional Antennas ◽  
Neighbor Discovery
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