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Towards a Unified Pandemic Management Architecture: Survey, Challenges and Future Directions [article]

Satyaki Roy, Nirnay Ghosh, Nitish Uplavikar, Preetam Ghosh
2022 arXiv   pre-print
In this paper, we perform a survey of the existing approaches for pandemic management, including online data repositories and contact-tracing applications.  ...  Advances in the Internet of Things (IoT) and edge computing provide solutions for pandemic management through data collection and intelligent computation.  ...  A MEC server uses the radio access networks (RANs) of its co-located base station to collect sensory data from citizens spread across multiple neighborhoods of a borough in an urban city.  ... 
arXiv:2202.07448v1 fatcat:zro3hesk6jawnj7tdxy2jczpgq

Smartphone App Usage Analysis: Datasets, Methods, and Applications

Tong Li, Tong Xia, Huandong Wang, Zhen Tu, Sasu Tarkoma, Zhu Han, Pan Hui
2022 IEEE Communications Surveys and Tutorials  
We begin by describing four data collection methods: surveys, monitoring apps, network operators, and app stores, as well as nine publicly available app usage datasets.  ...  These personal devices, which are supported by a variety of smartphone apps, allow people to access Internet services in a convenient and ubiquitous manner.  ...  Yong Li for all of the support and valuable discussions.  ... 
doi:10.1109/comst.2022.3163176 fatcat:yj656343ovevdldtiw6vf254ue

25th Annual Computational Neuroscience Meeting: CNS-2016

Tatyana O. Sharpee, Alain Destexhe, Mitsuo Kawato, Vladislav Sekulić, Frances K. Skinner, Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári, Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett (+597 others)
2016 BMC Neuroscience  
These results outline a framework for categorizing neuronal types based on their functional properties.  ...  BMC Neuroscience 2016, 17(Suppl 1):A1 Neural circuits are notorious for the complexity of their organization.  ...  Acknowledgements: This research was supported by ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan). Acknowledgements  ... 
doi:10.1186/s12868-016-0283-6 pmid:27534393 pmcid:PMC5001212 fatcat:bt45etzj2bbolfcxlxo7hlv6ju

French Roadmap for complex Systems 2008-2009 [article]

Paul Bourgine , Frederic Amblard, Francois Arlabosse, Pierre Auger, Jean-Bernard Baillon, Olivier Barreteau, Pierre Baudot, Elisabeth Bouchaud, Soufian Ben Amor, Hugues Berry, Cyrille Bertelle, Marc Berthod, Guillaume Beslon, Giulio Biroli, Daniel Bonamy (+61 others)
2009 arXiv   pre-print
Computer science should provide: • Exploratory tools for a data-based approach.  ...  a general theoretical framework.  ...  has a very limited vision of the whole system, and makes decisions based on local information.  ... 
arXiv:0907.2221v1 fatcat:sfwycearbneirbi25t7dgta5py

Computational Socioeconomics [article]

Jian Gao, Yi-Cheng Zhang, Tao Zhou
2019 arXiv   pre-print
In this review, we will make a brief manifesto about a new interdisciplinary research field named Computational Socioeconomics, followed by detailed introduction about data resources, computational tools  ...  Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development.  ...  [497] introduced a LDA-based topic modeling framework [263] to estimate socioeconomic levels based on MP data.  ... 
arXiv:1905.06166v1 fatcat:kvhy2hpzgvg2vnqhdjfyjfidqi

Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data [article]

Pål Sundsøy
2017 arXiv   pre-print
A data-driven and scientific approach to marketing, through more tailored campaigns, contributes to less irrelevant offers for the customers, and better cost efficiency for the companies.  ...  The intention is to identify displaced people faster, cheaper and more accurately than existing survey-based methods. 2.  ...  It has been a privilege for me to cooperate with all of you. Anomaly detection for calling frequency Unusual calling patterns provide a measure of behavioral response to storm severity.  ... 
arXiv:1702.08349v1 fatcat:q73dimeqtvdkbpsjjzwed57zqu

Predictive coding in agency detection

Marc Andersen
2017 Religion, Brain & Behavior  
Human organisms, for instance, may innately expect there to be only one cause of sensory input at one place at a given point in time or have certain evolved priors governing states such as hunger, perhaps  ...  For the purpose of experimentally inducing the experience of a sensed presence and testing his causal hypothesis, Persinger uses an electromagnetic device, the socalled God helmet, which stimulates the  ...  In his target article, Andersen argues that a Bayesian statistical framework of predictive coding may better account for existing data and make novel predictions relevant to agency detection.  ... 
doi:10.1080/2153599x.2017.1387170 fatcat:xvacc5dcozbcfhkfrio4lhc2d4

CORPORATE CONTRIBUTORS

1988 The Hastings center report  
We then employed Granger causality spectra as a measure of causal influences among recording sites.  ...  fixed error rate is smaller than in any other tests on noisy accumulating data.  ...  In this paper we apply the neural engineering framework (NEF) described in Eliasmith and Anderson (2003) to help bridge this gap by constructing a biologically detailed model of a traditionally cognitive  ... 
doi:10.1002/j.1552-146x.1988.tb03932.x fatcat:bkotcyah2ngbfdk4kbx3xnf5v4

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Leonid L. Rubchinsky, Sungwoo Ahn, Wouter Klijn, Ben Cumming, Stuart Yates, Vasileios Karakasis, Alexander Peyser, Marmaduke Woodman, Sandra Diaz-Pier, James Deraeve, Eliana Vassena, William Alexander (+473 others)
2017 BMC Neuroscience  
may even be optimized for somewhat noisy conditions.  ...  in framework for modelling complex systems [5].  ... 
doi:10.1186/s12868-017-0371-2 fatcat:jkqnv4rvfvaj5g44xm5snzdqzy

Where the Ecological Gaps Remain, a Modelers' Perspective

Elizabeth A. Fulton, Julia L. Blanchard, Jessica Melbourne-Thomas, Éva E. Plagányi, Vivitskaia J. D. Tulloch
2019 Frontiers in Ecology and Evolution  
New sensor and monitoring technologies are opening up new data streams at volumes that can seem overwhelming but also provide an opportunity for a profusion of new discoveries by marrying data across scales  ...  Humans have observed the natural world and how people interact with it for millennia.  ...  ), agent-based representations (of large marine mammals), cellular automata (for land uses such as agriculture, forestry and urban settlements) and stocks and flow representations of industrial production  ... 
doi:10.3389/fevo.2019.00424 fatcat:klygmvhcorbpxd6ljy3lolle4a

Health State Estimation [article]

Nitish Nag
2020 arXiv   pre-print
By encasing this estimation within a navigational approach, a systematic guidance framework can plan actions to transition a current state towards a desired one.  ...  This dissertation presents an approach to build a personal model and dynamically estimate the health state of an individual by fusing multi-modal data and domain knowledge.  ...  This highlights the need for the estimation framework to have a versatile ability to ingest data types.  ... 
arXiv:2003.09312v1 fatcat:sm7vadoyerbf5gmeujvobcqop4

Urban Corridors as Common Pool Resources: the Case of Nova Gorica and Rijeka

Marco Acri, Saša Dobričić, Maja Debevec
2021 Zenodo  
Based on researches on common goods management and cultural urban landscapes preservation, a recent approach is offered by the urban conceptualisation of corridor.  ...  The concerns for climate change and the increase of urban population made cities fundamental in finding solutions for a more sustainable dwelling to increase resilience and quality of life.  ...  Data-driven urbanism, urban planning based on data collected more or less automatically, can enable more efficient city management.  ... 
doi:10.5281/zenodo.5592101 fatcat:a6ywxtrbp5esjeeap7bqfb4r5i

Extraction of spatio-temporal primitives of emotional body expressions

Lars Omlor, Martin A. Giese
2007 Neurocomputing  
We propose a theoretical framework for efficient representation of time-varying sensory information using dynamic population codes.  ...  , jaschnorkoi@web.de On the way to understanding complex perception taks, just based on psychophysical data, we propose a general framework combining several data analysis methods such as multidimensional  ... 
doi:10.1016/j.neucom.2006.10.100 fatcat:esivhljzsbcihdl5qbp756josu

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
2020 Engineering  
Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narrow task.  ...  When taken as a unified concept, FPICU is concerned with the questions of "why" and "how", beyond the dominant "what" and "where" framework for understanding vision.  ...  on a “big data for small tasks” paradigm, under which massive amounts of data are used to train a classifier for a single narrow task.  ... 
doi:10.1016/j.eng.2020.01.011 fatcat:dltxealx3zgk5eyi2hlszbjhmu

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
Graimann (Otto Bock HealthCare) for supplying us with data and Armin Biess for fruitful discussions.  ...  [T 10] Inferring intrinsic saliency from free-viewing data Simon Barthelme 1* , Hans Trukenbrod 2 , Ralf Engbert 2 and Felix A.  ...  Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Computation 14, 2531-2560.  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi
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