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001440146 001__ 1440146
001440146 003__ OCoLC
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001440146 019__ $$a1272856900$$a1272957372$$a1272991708
001440146 020__ $$a9783030867027$$q(electronic bk.)
001440146 020__ $$a3030867021$$q(electronic bk.)
001440146 020__ $$z3030867013
001440146 020__ $$z9783030867010
001440146 0247_ $$a10.1007/978-3-030-86702-7$$2doi
001440146 035__ $$aSP(OCoLC)1273075786
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001440146 049__ $$aISEA
001440146 050_4 $$aQA75.5
001440146 08204 $$a004$$223
001440146 1112_ $$aWorkshop on Engineering Applications$$n(8th :$$d2021 :$$cMedellín, Colombia)
001440146 24510 $$aApplied computer sciences in engineering :$$b8th Workshop on Engineering Applications, WEA 2021, Medellín, Colombia, October 6-8, 2021, proceedings /$$cJuan Carlos Figueroa-García, Yesid Díaz-Gutierrez, Elvis Eduardo Gaona-García, Alvaro David Orjuela-Cañón (eds.).
001440146 2463_ $$aWEA 2021
001440146 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001440146 300__ $$a1 online resource
001440146 336__ $$atext$$btxt$$2rdacontent
001440146 337__ $$acomputer$$bc$$2rdamedia
001440146 338__ $$aonline resource$$bcr$$2rdacarrier
001440146 4901_ $$aCommunications in Computer and Information Science ;$$v1431
001440146 500__ $$aIncludes author index.
001440146 5050_ $$aIntro -- Preface -- Organization -- Contents -- Computational Intelligence -- Can Communication Topology Improve a Multi-swarm PSO Algorithms? -- 1 Introduction -- 2 State of the Art -- 3 Proposed Method -- 3.1 EvoSwarm -- 3.2 Proposed Communication Topologies for EvoSwarm -- 4 Experimental Setup and Results -- 4.1 Benchmark Functions -- 4.2 Experimental Results -- 5 Conclusions -- References -- Solving Dynamical Systems Using Windows of Sliding Subproblems -- 1 Introduction -- 2 Background -- 2.1 Dynamical Systems -- 2.2 Traditional Methods -- 2.3 Interval Methods
001440146 5058_ $$a2.4 Step-Based or Constraint-Based? -- 3 Problem Statement and Proposed Approach -- 4 Experimental Results and Analysis -- 4.1 Methodology -- 4.2 Experiments -- 4.3 Results Analysis -- 5 Conclusions and Future Work -- References -- Landslide Susceptibility Model by Means of Remote Sensing Images and AutoML -- 1 Introduction -- 2 Study Area -- 3 Image Data -- 4 Materials and Methods -- 4.1 Ground Truth Data -- 4.2 Structured Data (Input for the AutoML Model) -- 4.3 AutoML Model -- 5 Results and Discussion -- 6 Conclusion -- References -- Fake Speech Recognition Using Deep Learning
001440146 5058_ $$a1 Introduction -- 2 Data Preparation and Modelling -- 2.1 Data Preparation -- 2.2 Modelling -- 3 Results -- 3.1 Experimental Settings -- 3.2 Performance of the Custom Model: Training, Validation and Testing -- 3.3 Custom Model vs. State-of-the-Art -- 4 Conclusion -- References -- Automatic Classification of Energy Consumption Profiles in Processes of the Oil & Gas Industry in Colombia -- 1 Introduction -- 2 Methodology -- 2.1 Database Description -- 2.2 Feature Extraction -- 2.3 Statistical Tests -- Based Feature Selection -- 2.4 Hyper-Parameters Optimization -- 2.5 Automatic Classification
001440146 5058_ $$a3 Experiments and Results -- 3.1 Experiment 1: Extraction vs. Transport -- 3.2 Experiment 2: Transport vs. ``Other'' -- 4 Conclusions -- References -- Organizational Online Reputation Measurement Through Natural Language Processing and Sentiment Analysis Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Reputation Dimensions -- 2.2 Methodology Selection -- 2.3 Materials -- 3 Results and Discussion -- 3.1 Methodology M1 -- 3.2 Methodology M2 -- 3.3 Methodology M3 -- 4 Conclusions and Future Works -- References -- Robust Automatic Speech Recognition for Call Center Applications
001440146 5058_ $$a1 Introduction -- 2 Related Works -- 3 Databases -- 3.1 KONECTADB -- 3.2 Demand Noise Dataset (DND) -- 3.3 Data Augmentation -- 4 Methodology -- 4.1 Training Stage -- 4.2 Test Stage -- 5 Results -- 5.1 Results of Acoustic Model -- 5.2 Results of Denoising Process -- 6 Conclusions and Future Work -- References -- Dynamic Recognition and Classification of Trajectories in SLRecon Adopted Artificial Intelligence in Kinect -- 1 Introduction -- 1.1 Sign Language -- 1.2 3D Sensor -- 1.3 Artificial Intelligence -- 2 Materials and Methods -- 2.1 Hardware -- 2.2 Software -- 3 Results -- 4 Conclusions
001440146 506__ $$aAccess limited to authorized users.
001440146 520__ $$aThis volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellin, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications.
001440146 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 8, 2021).
001440146 650_0 $$aComputer science$$vCongresses.
001440146 650_0 $$aEngineering$$xData processing$$vCongresses.
001440146 650_6 $$aInformatique$$vCongrès.
001440146 650_6 $$aIngénierie$$xInformatique$$vCongrès.
001440146 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440146 655_7 $$aConference papers and proceedings.$$2lcgft
001440146 655_7 $$aActes de congrès.$$2rvmgf
001440146 655_0 $$aElectronic books.
001440146 7001_ $$aFigueroa-García, Juan Carlos.
001440146 7001_ $$aDíaz-Gutierrez, Yesid.
001440146 7001_ $$aGaona-García, Elvis Eduardo.
001440146 7001_ $$aOrjuela-Cañón, Alvaro David.
001440146 77608 $$iPrint version: $$z3030867013$$z9783030867010$$w(OCoLC)1263339062
001440146 830_0 $$aCommunications in computer and information science ;$$v1431.
001440146 852__ $$bebk
001440146 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86702-7$$zOnline Access$$91397441.1
001440146 909CO $$ooai:library.usi.edu:1440146$$pGLOBAL_SET
001440146 980__ $$aBIB
001440146 980__ $$aEBOOK
001440146 982__ $$aEbook
001440146 983__ $$aOnline
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