A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Filters
Utilization of synergetic human-machine clouds: a big data cleaning case
2014
Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering - CSI-SE 2014
Preserved Fulltext
In this paper we present a case in which we developed a hybrid, throw-away prototype software system to solve a big data cleaning problem in which we corrected and normalized a data set of 53,822 academic ...
Combining the strengths of both machine and human clouds within a hybrid design enables us to overcome certain problems and achieve efficiencies. ...
This research was funded by METU Research Project Funding Office (METU BAP) and conducted by Integrated Information Systems (IIS) project personnel of METU Computer Center. ...
doi:10.1145/2593728.2593733
dblp:conf/icse/IrenKB14
fatcat:yd4zclelwneipj7np5sq5itghy
Synergy of IoT and AI in Modern Society: The Robotics and Automation Case
2018
Robotics & Automation Engineering Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Then, a number of case studies are outlined, and, finally, some IoT/AI-aided robotics and industrial automation applications are presented. ...
The Internet of Things (IoT) is a recent revolution of the Internet which is increasingly adopted with great success in business, industry, healthcare, economic, and other sectors of modern information ...
The use of machine learning, along big data, has opened new opportunities in IoT. ...
doi:10.19080/raej.2018.03.555621
fatcat:7drtlol5pjhozcr3zlpcduijty
Bridging the gap between human knowledge and machine learning
2015
Advances in Distributed Computing and Artificial Intelligence Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Data mining; visualization; machine learning Nowadays, great amount of data is being created by several sources from academic, scientific, business and industrial activities. ...
Under the premise, the premise that the feedback provided by human reasoning -which is holistic, flexible and parallel-may enhance the data analysis, the need for the integration of natural and artificial ...
Recently, to encompass all aspects of this phenomenon in a unique concept, it has coined the term Big Data (Gantz & Reinsel, 2012) . ...
doi:10.14201/adcaij2015415464
fatcat:piruas64zvh5bhzeptnljpphpa
Techniques of Big Data Text Summarization
2019
International journal of recent technology and engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In the web industry 4.0, big data are playing a key role in the organizations of their digital transformation journey. ...
The paper starts with general introduction of big data and text mining and text summarization. ...
In Web 4.0, the connection among people and machines is synergetic. ...
doi:10.35940/ijrte.d9932.118419
fatcat:aqml62px3vbcxnpaik7oboufrq
Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
ACKNOWLEDGEMENT The authors would like to thank Petroleum Research Newfoundland and Labrador (PRNL), Atlantic Canada Opportunities Agency (ACOA), Mitacs, University of Toronto's Munk School of Global Affairs ...
and Public Policy, and Memorial University of Newfoundland for their financial and intellectual support to this research project. ...
It is possible to utilize modern technologies such as wearables, big data analytics, artificial intelligence, and machine learning algorithms, cloud computing, internet of things, robots and drones, extended ...
doi:10.1109/access.2021.3103680
fatcat:cvrnf4tnirdznncmtgdmlmgrhu
Anchoring AI/Machine Learning on the African Technological Innovation and Investment Table
2021
The business & management review: Conference Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Machine Learning (ML) entails the automatic data analysis of large data sets and production of models for the general relationships found among data. ...
The sample comprised primary data with 42 variables in a set of 494,020 instances that was analysed using mainly the SNORT open-source software and other Bayesian Network supportive platforms. ...
Model 2: Cloud computing/Outsourcing The second model involves an organization outsourcing its data to a cloud computing service provider. ...
doi:10.24052/bmr/v12nu02/art-07
fatcat:ejt57omxdra6lbmulwrhzkfyrm
The SmartHabits: An Intelligent Privacy-Aware Home Care Assistance System
2019
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The novel system comprising smart home-based and cloud-based parts uses machine-learning technology to provide peace of mind to informal caregivers caring for persons living alone. ...
To enhance the quality of life for older adults and overcome challenges in enabling individuals to achieve their full potential in terms of physical, social, and mental well-being, numerous proof-of-concept ...
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/s19040907
fatcat:rjneqx3hmzhvjd3d6zga6aje6m
SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities
2022
Frontiers in Environmental Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The 4th industrial revolution technologies of artificial intelligence, Internet of Things, big data, and cloud computing bridge gaps between physical, natural, and personal entities. ...
The framework has integrated science cloud and urban services aiding in translating scientific data into operations. It is a step toward collaborative, data-driven, and sustainable smart cities. ...
ACKNOWLEDGMENTS AK acknowledges the support of colleagues from C-DAC, Pune, and faculty of Institute of Environment Education and Research, Bharati Vidyapeeth Deemed University, Pune, India. ...
doi:10.3389/fenvs.2022.785129
fatcat:n74qwu37rven5a72ksylc3txwi
Quantum Adiabatic Evolution for Global Optimization in Big Data
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We reduced big data based on its characteristics, conceptually driven by quantum field theory and utilizing the physics of condensed matter theory in a complex nonlinear dynamic system: Quantum Topological ...
and makes a list of all ground state Hamiltonians, then utilizing the tunnelling property of quantum mechanics optimizes the algorithm unlike up hill and iterative techniques and doesnot let algorithm ...
Many of the methods had been utilized so far from cloud computing to high software and hardware systems so that the challenges of the big data can be addressed. ...
arXiv:1805.11479v1
fatcat:nv6csfestfeofk5dfemzwpka3y
A Survey on Deep Learning for Ultra-Reliable and Low-Latency Communications Challenges on 6G Wireless Systems
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
and big volumes of a real-time network within a data rate of Tb/s. ...
The sixth generation (6G) wireless communication network presents itself as a promising technique that can be utilized to provide a fully data-driven network evaluating and optimizing the end-toend behavior ...
The DL is utilized to learn from great amounts of supervised data to represent big data analytics and exploit the availability of huge amounts of data [233] . ...
doi:10.1109/access.2021.3069707
fatcat:v5om5kdtpze3vcxm6tko3efha4
Smart cities with big data: Reference models, challenges, and considerations
2018
Cities
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Recent cases and studies show that a key factor in this transformation is the use of urban big data from stakeholders and physical objects in cities. ...
This paper reports findings from an analysis of various use cases of big data in cities worldwide and the authors' four projects with government organizations toward developing smart cities. ...
Acknowledgement This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A5A80275934) and by "Human Resources Program in Energy ...
doi:10.1016/j.cities.2018.04.011
fatcat:5qp3nwe7bjhptlv3logalcqvae
Bioacoustics Data Analysis – A Taxonomy, Survey and Open Challenges
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Accordingly, this survey examines how bioacoustics analysis techniques can be scaled to work with big data. ...
We also present a comprehensive survey of bioacoustics data analysis approaches with an emphasis on bird species identification. ...
BIOACOUSTICS SOFTWARE AND BIG DATA A. ...
doi:10.1109/access.2020.2978547
fatcat:nk3dcbv2evbpdp6g4fbovccqla
The anatomy of the data-driven smart sustainable city: instrumentation, datafication, computerization and related applications
2019
Journal of Big Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
As a result, vast troves of data are generated and exploited to operate, manage, organize, and regulate urban life, or a deluge of contextual and actionable data is produced, analyzed, and acted upon in ...
is labeled 'data-driven smart sustainable cities' as a leading paradigm of urbanism [11, 12] . ...
As far as research centers and innovation labs are concerned, they are associated with research and innovation for the purpose of developing and disseminating urban intelligence functions. ...
doi:10.1186/s40537-019-0221-4
fatcat:2wsib6yi3bfbzfaxjqlidsfiwe
Exploring the path to big data analytics success in healthcare
2017
Journal of Business Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
These findings may be a starting point in studying how big data analytics constitutes business value in practice and offers an empirical basis that can stimulate a more detailed investigation of big data ...
architectural components, through big data analytics capabilities, to a big data-specific benefits framework. ...
Finally, the "cleaned" data is loaded into the target databases, such as Hadoop distributed file systems (HDFS) or in a Hadoop cloud for further processing and analysis. ...
doi:10.1016/j.jbusres.2016.08.002
fatcat:2g2ilz23xjdbtg4mvxiojrlfsu
Perspectives on Future Power System Control Centers for Energy Transition
2022
Journal of Modern Power Systems and Clean Energy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
distribution networks, micro-grids, and greater amounts of available data. ...
Today's power systems are seeing a paradigm shift under the energy transition, sparkled by the electrification of demand, digitalisation of systems, and an increasing share of decarbonated power generation ...
Resulting hybrid intelligence [93] would eventually be a more desirable path by developing true human-machine partnerships [94] with synergetic interactions, where the human and the machine would continuously ...
doi:10.35833/mpce.2021.000673
fatcat:zjfxxuzcz5dgtiw65oe6qdp7ge
« Previous
Showing results 1 — 15 out of 231 results