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Real Analytic Machines and Degrees
2011
Logical Methods in Computer Science
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of three models of analytic computation: BSS machines (aka real-RAM) and strongly/weakly analytic machines as introduced by Hotz et. al. (1995). ...
We study and compare in two degree-theoretic ways (iterated Halting oracles analogous to Kleene's arithmetical hierarchy and the Borel hierarchy of descriptive set theory) the capabilities and limitations ...
Oracle Computation and Turing Degrees. ...
doi:10.2168/lmcs-7(3:11)2011
fatcat:ixlf4wy435gpjpxbzhpojy2q7m
Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management—Part II
2021
IEEE Transactions on Network and Service Management
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Analytics and Machine Learning for Service Management, and (iii) Advanced Security Management based on Data Analytics and Machine Learning.
13) L. ...
Data Analytics and Machine Learning for Network Management Ten papers in this special issue focus on data analytics and machine learning for management of networks. ...
doi:10.1109/tnsm.2021.3058742
fatcat:b6lx4i75krcovcqereinvjf6mu
Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management–Part I
2020
IEEE Transactions on Network and Service Management
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, (ii) Data Analytics and Machine Learning for Service Management, (iii) Data Analytics and Machine Learning for Mobile Networks, and (iv) Data Analytics and Machine Learning for Social Network Platforms ...
Data Analytics and Machine Learning for Service Management Three papers in this special section focus on data analytics and machine learning for management of services. ...
doi:10.1109/tnsm.2020.3038736
fatcat:fg3hi7r5vjgpxgamnuq3itgbd4
Real-Time Big Data Analytics Pipeline
2018
Zenodo
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MATERIALS AND METHODS: The major constituents of the real-time big data analytics pipeline is as follows: • Data collection and extraction • Distribution of data to various nodes for further processing ...
. • Analytic processing, to derive inferences from data, including the application of machine learning. • Data storage system for storing results and related information. • Interfaces or consumption of ...
doi:10.5281/zenodo.1185040
fatcat:ytqxcc2ztbatlbn7vvu4w5jrje
Real-Time Big Data Analytics Pipeline
2018
Zenodo
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The need of the hour is having an efficient, automated, centralized and real-time big data analytics pipeline which can derive insights from data and help businesses. ...
Aim Considering the huge volume and the incredible rate at which data is being collected,having an efficient, automated, centralized and real-time big data analytics pipeline that should have the capability ...
doi:10.5281/zenodo.1184838
fatcat:vj2b57fr5re7lmafnaghpmfpay
PROPOSING A NEW GRADUATE DEGREE IN DATA ENGINEERING AND ANALYTICS
2019
Issues in Information Systems
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Real-Time
Streaming, Applied Data Analytics, Advanced Data Visualization Applications, Applied Big Data Analytics, and a
Capstone Project. ...
creating batch and real-time data processing pipelines,
doing machine learning at scale,
-deploying machine learning models into a production environment Join
some of best
Skills gained: Apache Hadoop ...
doi:10.48009/1_iis_2019_157-167
fatcat:hyti4qupbrcfxezge7bf7st5ly
On Perfect Completeness for QMA
[article]
2008
arXiv
pre-print
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This note helps to explain why the problem is difficult, by using ideas from real analysis to give a "quantum oracle" relative to which they are different. ...
Acknowledgments I thank Andy Drucker and the anonymous reviewers for helpful comments, and Greg Kuperberg and Dave Xiao for discussions of related problems several years ago. ...
Combining these facts, we find that each b j (θ) is a real analytic function of θ (for note that cos θ and sin θ are real analytic functions, and real analytic functions are closed under composition). ...
arXiv:0806.0450v3
fatcat:nzvvtinisjafxm4owfuepbfeiq
Using Machine Learning Approach for Computational Substructure in Real-Time Hybrid Simulation
[article]
2020
arXiv
pre-print
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Two different machine learning algorithms are evaluated to provide a valid and useful metamodeling solution for analytical substructure. ...
One challenge for fast HS or real-time HS (RTHS) is associated with the analytical substructures of relatively complex structures, which could have large number of degrees of freedoms (DOFs), for instance ...
machine (Speedgoat xPC Target); (4) Windows machine (Host PC) for MATLAB, OpenSees, and the HS middleware OpenFresco [19] ; and (5) SCRAMNet ring that provides shared memory locations for real-time communication ...
arXiv:2004.02037v1
fatcat:5hfiah4jvzctnjq632qnecgmki
Performance evaluation and comparison of multi-objective optimization algorithms for the analytical design of switched reluctance machines
2017
China Electrotechnical Society Transactions on Electrical Machines and Systems
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This paper systematically evaluates and compares three well-engineered and popular multi-objective optimization algorithms for the design of switched reluctance machines. ...
The multi-physics and multi-objective nature of electric machine design problems are discussed, followed by benchmark studies comparing generic algorithms (GA), differential evolution (DE) algorithms and ...
Sufei Li (S'15) received the B.S. degree in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2011, and the dual M.S. degree in electrical and computer engineering from Shanghai ...
doi:10.23919/tems.2017.7911109
fatcat:bz4c54f7lrgape4ntij6rd5idy
Editorial: Special issue on natural language processing and text analytics in industry
2016
Computers in industry (Print)
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From this review, the authors identify the challenges and constraints that real-world environments impose on text analytics applications, and subsequently, identify a set of desiderata that text analytics ...
Natural Language Processing (NLP) and Text Analytics (TA) algorithms and techniques are increasingly being developed, adopted and deployed for addressing a wide spectrum of real-life, industrial problems ...
doi:10.1016/j.compind.2016.01.001
fatcat:tvvrmcqztvf55hjwlke7bx2wdq
Big Data Knowledge Discovery Platforms: A 360 Degree Perspective
2019
International Journal of Engineering and Advanced Technology
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These platforms and architecture are giving a cutting edge to the Big Data Knowledge Discovery process by using Artificial Intelligence, Machine Learning and Expert systems. ...
New analytical techniques and high performance computing architecture came into picture to handle this explosion. ...
Real time and near-real time data assimilation, modeling, optimization and visualization is another core area to deal with.
B. ...
doi:10.35940/ijeat.b3901.129219
fatcat:2w7a5tkmsfah7oft4jacfbzdau
Enterprise Scale Artificial Intelligence Achieving Value In Your Organization Today
2018
Zenodo
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Director in PwC's Data Analytics practice, Canada ...
•Machine Learning/ Digital Customer Experience Transformation Program -Large Fortune 500 US-based Airline Company: Recommended and aligned with senior management on strategy for real-time engagement with ...
Led creation of customer profile and contextual data set that would be used for real time decisions. ...
doi:10.5281/zenodo.1185238
fatcat:ruvmkjulorchddfqceat2ugcua
REDTag: A Predictive Maintenance Framework for Parcel Delivery Services
2020
IEEE Access
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INDEX TERMS Big data analytics, Industry 4.0, intelligent transports and logistics, Internet of Things, machine learning, predictive maintenance. ...
The framework provides back-end functionalities for smart data transmission, management, storage, and analytics. ...
Section V thoroughly describes the data analytics and mining steps. Section VI shows the experimental results achieved in a real scenario. ...
doi:10.1109/access.2020.2966568
fatcat:iqgmfzarujetxfuxkpdoupxql4
An Application of Predictive Analytics in Manufacturing Sector for Price Prediction and Demand Prediction
2020
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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We have trained and tested different machine learning algorithms that can be used to predict price as well as demand of a particular product using historical data about that product's sales and other transactions ...
Hence, it's feasible to increase manufacturing quality, and expect needs throughout the factory with predictive analytics. ...
INTRODUCTION Predictive analytics includes different mathematical and statistical techniques from machine learning and data mining that analyze historical and real-time data to determine the pattern and ...
doi:10.35940/ijitee.h6465.079920
fatcat:2sjoc77vevbwhd7ybh3jvtlzdq
Data Science & Big Data Analytics
2018
Zenodo
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Unlocking the power of natural language by machine translation: hot technologies and business benefits ...
Dali had an engineer degree from at TEK-UP university in Tunisia and studied two Master degree in Business Intelligence and Innovation management from an international program called " Dicamp " at 3 universities ...
As Content and topics change, and always will, Machine Translation engines and NLP tools can keep up with change using rapid adaptation approaches that learn continuously in near-real time. ...
doi:10.5281/zenodo.1229047
fatcat:45sq5536bnbnbfugd6d2biewue
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