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A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata [article]

Sayantari Ghosh, Saumik Bhattacharya
2020 arXiv   pre-print
To the best of our knowledge, this is the first attempt to understand and interpret COVID-19 data using optimized cellular automata, through genetic algorithm.  ...  This study proposes that for an accurate data-driven modeling of this infection spread, cellular automata provides an excellent platform, with a sequential genetic algorithm for efficiently estimating  ...  Motivation and Contributions In this study, we propose probabilistic cellular automata based dynamical model, optimised through sequential genetic algorithm for an accurate assessment of the extent of  ... 
arXiv:2008.12020v1 fatcat:tbsgai7cjzamdgopztou4kttbq

Modelling the Spread of an Epidemic in Presence of Vaccination using Cellular Automata [article]

Agniva Datta, Muktish Acharyya
2021 arXiv   pre-print
The results of Kermack-McKendrick SIR model are planned to be reproduced by cellular automata (CA) lattice model. The CA algorithms are proposed to study the model of epidemic, systematically.  ...  The outcomes of CA model are in good agreement with that obtained from SIR model. The results of vaccination have been also incorporated in the CA algorithm with a satisfactory degree of success.  ...  The sequential genetic algorithm based probabilistic Cellular Automata has been used to study the dynamics of COVID-19 [23].  ... 
arXiv:2104.10456v4 fatcat:wb2za6lywvc5ne26ofbgbhm3u4

Table of Contents

2020 2020 IEEE Symposium Series on Computational Intelligence (SSCI)  
....... 1210 Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study Thirunavukarasu Balasubramaniam, Richi Nayak and Bashar Md Abul ..........  ...  Mary Malan .......... 1100 A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility You Liang, Aerambamoorthy Thavaneswaran and Md.  ... 
doi:10.1109/ssci47803.2020.9308155 fatcat:hyargfnk4vevpnooatlovxm4li

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes.  ...  The goal of the present study was to examine how PCs can recognise spatial patterns in the input. In a previous study the input was applied directly to PFs (Sajikumar et al., 2014 Aug 19 ).  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

A Novel Many-Objective Recommendation Algorithm for Multistakeholders

Dandan Wang, Yan Chen
2020 IEEE Access  
They attempted to understand and interpret COVID-19 data using optimized cellular automata through a genetic algorithm.  ...  The cellular automata method provides an excellent platform for accurate data-driven modeling of infection spread, with a sequential genetic algorithm for efficiently estimating the parameters of the dynamics  ... 
doi:10.1109/access.2020.3034716 fatcat:doaf24yxdbccfoss5rhysivuty

Social physics [article]

Marko Jusup, Petter Holme, Kiyoshi Kanazawa, Misako Takayasu, Ivan Romic, Zhen Wang, Suncana Gecek, Tomislav Lipic, Boris Podobnik, Lin Wang, Wei Luo, Tin Klanjscek (+3 others)
2021 arXiv   pre-print
Recent decades have seen a rise in the use of physics-inspired or physics-like methods in attempts to resolve diverse societal problems.  ...  Such a rise is driven both by physicists venturing outside of their traditional domain of interest, but also by scientists from other domains who wish to mimic the enormous success of physics throughout  ...  This leads to so called cellular automata models.  ... 
arXiv:2110.01866v1 fatcat:ccfxyezl6zgddd6uvrxubmaxua


Lena Schenke, Kyra Hoevenaars, Tamás Bardócz
2020 Zenodo  
The project is developing a thorough understanding on how Climate Change will impact the particularly vulnerable EU islands located in different regions and focuses on Blue Growth sectors.  ...  Climate change impacts and risks for the marine aquaculture sector on the islands were identified based on climate hazards, exposure and vulnerability factors such as sensitivity and adaptive capacity.  ...  The sources of the Life Cycle Inventory (LCI) data are mainly from the preliminary design of the process and from the scientific literature, as well as the ecoinvent database (version 3.5).  ... 
doi:10.5281/zenodo.4775788 fatcat:oszlppnfnraw7oez4kpl2saidq

Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases [chapter]

Rajesh Singh, Anita Gehlot, Dharam Buddhi
2022 Comparative Analysis of Different Machine Learning Classifiers for the Prediction of Chronic Diseases  
This paper forms the basis of understanding the difficulty of the domain and the amount of efficiency achieved by the various methods recently.  ...  Chronic Diseases like heart disease & Diabetes are the main causes of death. Precise diagnosis of these diseases on time is very significant for maintaining a healthy life.  ...  The region-based segmentation will segment the data dependent on the taken-out features using GLCM algorithm.  ... 
doi:10.13052/rp-9788770227667 fatcat:da47mjbbyzfwnbpde7rgbrlppe

Proceedings of the 2022 Joint Workshop of the German Research Training Groups in Computer Science

Felix Freiling, Helmut Seidl, 2022 2022 Joint Workshop Of The German Research Training Groups In Computer Science June 12–June 15
Because last year's event marked the 25th anniversary of the workshop series, it featured a live interview with Professor Otto Spaniol who had initiated the workshop series in 1996.  ...  Returning to Dagstuhl and hosting this meeting as an in-person-only event was a deliberate decision to revive interaction modes that many of the funded researchers had yet to experience: fostering personal  ...  trust-building (using the case of contact tracing apps during the COVID-19 pandemic).  ... 
doi:10.25593/opus4-fau-19321 fatcat:ry4vd32xxbgldirrvymuaxxqwi

Anthropologic – Architecture and Fabrication in the cognitive age

(:Unkn) Unknown, Technische Universität Berlin, Liss C. Werner, Dietmar Koering
The resulting design strategies overwhelm our discipline of architecture, encouraging a re-thinking of architecture, the architect's role and responsibility, as well as architectural education.  ...  The development of digital technologies is compounding the need to develop ethics for this new technological state – shifting computer architecture from its focus on technology to a focus on humans.  ...  ACKNOWLEDGEMENTS We would like to thank the director Marc Caro for the inspiration he has given us, the teaching colleagues who have been with us for many years now and above all the students of the "Archirep  ... 
doi:10.14279/depositonce-10569 fatcat:pws4esthdfephe3jnc62fc2ksu

Agriculture and Digital Technology: Getting the most out of digital technology to contribute to the transition to sustainable agriculture and food systems

Véronique Bellon Maurel, Frédérick Garcia, Ludovic Brossard, Nathalie Mitton, Alexandre Termier
Representing complex systems within agroecology Large scale data collection for new agroecosystems Data-based modelling: a step towards new knowledge 4.2 Improving production: using digital technology  ...  An interesting parallel is that of the "printer/ink" lock-in: printers are sold very cheaply but require ink of the same brand to be used, which itself is sold at a very high price.  ...  as Petri nets, cellular automata and, more generally, models with fixed time intervals.  ... 
doi:10.17180/wmkb-ty56-en fatcat:o4l6kbeo5feqhp7o3kedhbohxq