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Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles
2015
2015 International Joint Conference on Neural Networks (IJCNN)
Preserved Fulltext
Sun, Yan Yang, Olga Sourina and Guang-Bin Huang
9:30AM Scale and Translation Invariant Learning of Spatio-Temporal Patterns using Longest Common Subsequences
and Spiking Neural Networks [#15737]
Banafsheh ...
Xiangjian He
5:00PM Analysis and Evaluation of Smartphone-based Human Activity Recognition Using a Neural Network Approach
[#15315]
Yongjin Kwon, Kyuchang Kang and Changseok Bae
5:20PM A Probability-Dynamic ...
doi:10.1109/ijcnn.2015.7280446
dblp:conf/ijcnn/YangLNF15
fatcat:6xlakikcfzfyhhm2spooe2j7ra
An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring
2017
Sensors
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for high level querying. ...
Examples of such queries concern path planning for vehicles or retrieval of safe regions such as "find all regions close to schools and far from the flooded area". ...
The authors would also like to thank Fabien Lagriffoul at the Center for Applied Autonomous Sensor Systems for useful discussions that contributed to this manuscript. ...
doi:10.3390/s17112545
pmid:29113073
pmcid:PMC5713147
fatcat:mw535ba5xjck3bg256dnpprlyq
Point-of-Interest Recommendation
[chapter]
2017
Encyclopedia of GIS
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Computational Epidemiology is the development and use of computer models for the spatio-temporal diffusion of disease through populations. ...
The populations of interest depend on the disease, including humans, animals, plants, and computers. ...
KAoS exploits ontologies for representing and reasoning about domains describing organizations of humans and agents. ...
doi:10.1007/978-3-319-17885-1_100975
fatcat:myyebmb3hrhgnpqmobyyvm2xum
2021 Index IEEE Internet of Things Journal Vol. 8
2021
IEEE Internet of Things Journal
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Lin, N., +, JIoT Sept. 15, 2021 14080-14093 An Ontology-Based System to Collect WSN-UAS Data Effectively. ...
doi:10.1109/jiot.2022.3141840
fatcat:42a2qzt4jnbwxihxp6rzosha3y
Array databases: concepts, standards, implementations
2021
Journal of Big Data
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AbstractMulti-dimensional arrays (also known as raster data or gridded data) play a key role in many, if not all science and engineering domains where they typically represent spatio-temporal sensor, image ...
Array Database systems attempt to close this gap by providing declarative query support for flexible ad-hoc analytics on large n-D arrays, similar to what SQL offers on set-oriented data, XQuery on hierarchical ...
using modern database architectures for massive spatio-temporal data sets. ...
doi:10.1186/s40537-020-00399-2
fatcat:mu4pujkjdndytmbgb67rgs733e
CSITSS Proceedings 2020
2019
2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS)
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[12] produced an interesting spatio-temporal analysis of crime and provided basis for an approach to using crime data to mitigate the effects of crime in the indian context. ...
neural networks, and onedimensional convolutional neural networks for indoor cry sound monitoring applications. ...
Product-based Neural Networks In this paper we have focused on the general architecture of ontology-based Information Retrieval used for Kannada. ...
doi:10.1109/csitss47250.2019.9031039
fatcat:yehi3bfgbva7xm74vp3a3i54pu
Elements of Consciousness and Cognition. Biology, Mathematic, Physics and Panpsychism: an Information Topology Perspective
[article]
2018
arXiv
pre-print
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The first chapter presents the postulates and results on elementary perception at various organizational scales of the nervous system and proposes the hypothesis of an electrodynamic intrinsic nature of ...
Information topology establishes a characterization of information theory functions, allowing for a precise expression of information structures and patterns. ...
In the case of general classical information structures, not even considering quantum, computational complexity follows Bell's combinatoric in O(exp(exp(N n ))) for n N -ary variables; for example, considering ...
arXiv:1807.04520v2
fatcat:f2qyihx7cnadjl2ctkqn2f3j2q
World Modeling for Intelligent Autonomous Systems
2017
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The functioning of intelligent autonomous systems requires constant situation awareness and cognition analysis. ...
This includes areas of dynamic and prior knowledge modeling, information fusion, management and qualitative/quantitative information analysis. ...
Such systems are designed for tasks that imply situation awareness and decision making. ...
doi:10.5445/ksp/1000066938
fatcat:5vrro2nfjreb7ddnyyrnemqkeq
World Modeling for Intelligent Autonomous Systems
2015
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The covered topics include concepts and approaches for dynamic and prior knowledge modeling, information association, fusion and management as well as their practical realization and experimental evaluation ...
Within the scope of this work, we have attained a row of theoretical and experimental results in the field of world modeling as well as gathered significant experience and expertise. ...
Such systems are designed for tasks that imply situation awareness and decision making. ...
doi:10.5445/ir/1000060148
fatcat:5nucey2f3fevzgyhtbnbmfwpjy
Dagstuhl Reports, Volume 9, Issue 2, February 2019, Complete Issue
[article]
2019
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Kobourov Verification and Synthesis of Human-Robot Interaction We plan to write a Global Challenges manuscript that relates examples of AI for Social Good projects to the Sustainable Developmental Goals ...
We plan to identify, organise and share the different sources of funding that could be used for AI for Social Good projects. We listed possible future meetings and workshops. ...
These include spatial, spatio-temporal logics and logics for hyper-properties. ...
doi:10.4230/dagrep.9.2
fatcat:ldqjjo5eqffszji56jhkmocl34
Table of contents
2019
2019 Chinese Control Conference (CCC)
unpublished
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WU Zizhen, XIONG Yi, LI Zhongkui 6292 Sensor Networks and Internet of Things (IoT) Performance Analysis of M-ary Tree Sensor Network with Node and Link Failure. . . . . . . . . . . . . . . . . . . . . ...
LIU Xin, HOU Meilin 7174 The Ground Simulation for Space Interception under the Time-varied Spatio-temporal Transform Similarity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.23919/chicc.2019.8866607
fatcat:bkwxxogrqvcmfpmqiek3xgnuoe
ACHI 2018 COMMITTEE ACHI Steering Committee
unpublished
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for Transport, Innovation and Technology (bmvit) [11]. ...
We would like to thank the participants in the MECS project, Professor Tone Bratteteig, Associated Professor Jo Herstad, and Postdoc Guri Verne for guidance in the design of the study, analysis, and discussion ...
Goals of Process Models for Human Robot Collaboration As the two considered systems (humans, robots) are active, these are referred to as agents in the following [2] . ...
fatcat:kyg6lba7o5gx5boijwdh2hqi6y
Continual Object Learning
2021
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This work focuses on building frameworks to strengthen the relation between human and machine learning. ...
As for humans, the input of the algorithms are continuous streams of visual information (sequences of frames), that enable the extraction of richer representations by exploiting the persistence of the ...
We assume that encounters are represented as spatio-temporal worms, i.e., temporal sequences of frames, where f i S is a frame for a substance S, each frame being encoded via a set of low-level visual ...
doi:10.15168/11572_308181
fatcat:yf73led2xzd4lobx4wajry6dpa
Preservation of spatial information
2017
Integrating ICT in Society
unpublished
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Muriel Grenon and Dr. Claudia Fracchiolla, for without their guidance and support, we might not have produced such a video. ...
Acknowledgements The authors would like to thank the anonymous reviewers for their valuable comments and suggestions which were helpful in improving the article. ...
Data analyser module responsible of linking, mapping and cleaning data offering advanced spatio-temporal and personalized queries. ...
doi:10.17234/infuture.2017.11
fatcat:l62ckcezzncjjdpz7toae7u3ha
Metric Selection and Metric Learning for Matching Tasks
2021
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Der geringe Annotationsaufwand unseres Algorithmus kommt daher, dass wir das Cold-Start-Problem, das dem Active Learning innewohnt, auf zweierlei Arten behandeln. ...
These include trajectories, spatio-temporal data (events). ...
However, our Recursive Neural Network only accepts a fixed-sized input. We use the N-ary Tree-LSTMs 7 proposed in [TSM15] , for N = 2. ...
doi:10.11588/heidok.00029164
fatcat:mujofl4v35c7xe5ofvb2vssh5q
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