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001476576 001__ 1476576
001476576 003__ OCoLC
001476576 005__ 20231003174427.0
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001476576 008__ 230907s2023\\\\sz\a\\\\o\\\\\100\0\eng\d
001476576 019__ $$a1396062094
001476576 020__ $$a9783031425363$$q(electronic bk.)
001476576 020__ $$a3031425367$$q(electronic bk.)
001476576 020__ $$z9783031425356
001476576 0247_ $$a10.1007/978-3-031-42536-3$$2doi
001476576 035__ $$aSP(OCoLC)1396447537
001476576 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO
001476576 049__ $$aISEA
001476576 050_4 $$aQA76.9.S63$$bS63 2023eb
001476576 08204 $$a006.3$$223/eng/20230907
001476576 1112_ $$aInternational Conference on Soft Computing Models in Industrial and Environmental Applications$$n(18th :$$d2023 :$$cSalamanca, Spain)
001476576 24510 $$a18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) :$$bSalamanca, Spain, September 5-7, 2023, Proceedings.$$nVolume 2 /$$cPablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado, editors.
001476576 2463_ $$aSOCO 2023
001476576 264_1 $$aCham :$$bSpringer,$$c2023.
001476576 300__ $$a1 online resource (xviii, 366 pages) :$$billustrations (some color),
001476576 336__ $$atext$$btxt$$2rdacontent
001476576 337__ $$acomputer$$bc$$2rdamedia
001476576 338__ $$aonline resource$$bcr$$2rdacarrier
001476576 4901_ $$aLecture notes in networks and systems,$$x2367-3389 ;$$v750
001476576 5050_ $$aIntro -- Preface -- Organization -- Contents -- Special Session 2: Technological Foundations and Advanced Applications of Drone Systems -- Level 3 Data Fusion -- 1 Ontological Foundations -- 2 Level 3 Data Fusion -- 3 DNN Implementation -- 3.1 CoA Recognition -- 3.2 Event Prediction -- 3.3 Forensic Assessment -- 4 Modeling Courses of Action -- 4.1 Probability of Action -- 4.2 CoA Utility Modeling -- 4.3 Evaluating Response Effectiveness -- References -- Image Classification Using Contrastive Language-Image Pre-training: Application to Aerial Views of Power Line Infrastructures
001476576 5058_ $$a1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Selection and Processing -- 3.2 Data Labeling and Caption Generation -- 3.3 CLIP Classifier Selection Methodology -- 4 Results and Discussion -- 4.1 Zero-Shot vs. Few-Shot Classifier -- 4.2 CLIP Fine-Tuning -- 4.3 Final model -- 5 Conclusions -- References -- A Realistic UAS Traffic Generation Tool to Evaluate and Optimize U-Space Airspace Capacity -- 1 Introduction -- 2 Realistic UAS Traffic Generation and Specification -- 2.1 Identification of Common UAS Patterns -- 2.2 Traffic Generation Module -- 2.3 Traffic Specification Module
001476576 5058_ $$a3 Validation of the Traffic Generation and Specification Modules -- 4 Next Steps: Towards a Separation Optimization and Evaluation Framework -- 5 Conclusions -- References -- UAV Airframe Classification Using Acceleration Spectrograms -- 1 Introduction -- 2 State of the Art -- 3 Proposed System -- 3.1 UAV Dataset and Spectrogram Generation -- 3.2 Classification Algorithm -- 4 Experiments and Results -- 5 Conclusions -- References -- Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms -- 1 Introduction -- 2 INS/GNSS -- 3 Tuning Process -- 4 Case Study
001476576 5058_ $$a4.1 Mission Problem and Simulation Configuration -- 4.2 Filter Parameters -- 4.3 Optimization Algorithms -- 5 Results -- 5.1 Results Comparison -- 6 Conclusions -- References -- Special Session 3: Soft Computing Methods in Manufacturing and Management Systems -- Digital Twins of Production Systems Based on Discrete Simulation and Machine Learning Algorithms -- 1 Introduction -- 2 Reinforcement Learning -- 3 A Digital Twin Based on Discrete-Event Simulation as a Reinforcement Learning Agent Environment -- 4 Summary -- References
001476576 5058_ $$aEdge Architecture for the Integration of Soft Models Based Industrial AI Control into Industry 4.0 Cyber-Physical Systems -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Validation -- 5 Conclusions -- References -- The Use of Line Simplification and Vibration Suppression Algorithms to Improve the Quality of Determining the Indoor Location in RTLSs -- 1 Introduction -- 1.1 Methods and Technologies for Determining Indoor Location -- 2 Decawave as an Example of RTLS Based on UWB Technology -- 3 Algorithms for Improving RTLS Data -- 3.1 Polyline Simplification Algorithms
001476576 506__ $$aAccess limited to authorized users.
001476576 520__ $$aThis book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2023 conference held in the beautiful and historic city of Salamanca (Spain) in September 2023. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 18th SOCO 2023 International Program Committee selected 61 papers which are published in these conference proceedings and represents an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as: Time Series Forecasting in Industrial and Environmental Applications, Technological Foundations and Advanced Applications of Drone Systems, Soft Computing Methods in Manufacturing and Management Systems, Efficiency and Explainability in Machine Learning and Soft Computing, Machine Learning and Computer Vision in Industry 4.0, Genetic and Evolutionary Computation in Real World and Industry, and Soft Computing and Hard Computing for a Data Science Process Model. The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the Program Committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.
001476576 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 7, 2023).
001476576 650_0 $$aSoft computing$$vCongresses.
001476576 650_0 $$aComputational intelligence$$vCongresses.
001476576 650_6 $$aInformatique douce$$vCongrès.
001476576 650_6 $$aIntelligence informatique$$vCongrès.
001476576 655_0 $$aElectronic books.
001476576 7001_ $$aGarcía Bringas, Pablo,$$eeditor.$$1https://orcid.org/0000-0003-3594-9534
001476576 7001_ $$aPérez García, Hilde,$$eeditor.$$1https://orcid.org/0000-0001-7112-1983
001476576 7001_ $$aMartínez de Pisón, Francisco Javier,$$eeditor.$$0(orcid)0000-0002-3063-7374$$1https://orcid.org/0000-0002-3063-7374
001476576 7001_ $$aMartínez-Alvarez, Francisco$$c(Professor of Engineering),$$eeditor.$$1https://orcid.org/0000-0002-6309-1785
001476576 7001_ $$aTroncoso Lora, Alicia,$$eeditor.$$1https://orcid.org/0000-0002-9801-7999
001476576 7001_ $$aHerrero, Alvaro,$$eeditor.$$1https://orcid.org/0000-0002-2444-5384
001476576 7001_ $$aCalvo Rolle, José Luis,$$eeditor.$$1https://orcid.org/0000-0002-2333-8405
001476576 7001_ $$aQuintián, Héctor,$$eeditor.$$1https://orcid.org/0000-0002-0268-7999
001476576 7001_ $$aCorchado, Emilio,$$eeditor.$$1https://orcid.org/0000-0001-8560-3991
001476576 77608 $$iPrint version:$$aGarcía Bringas, Pablo$$t18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)$$dCham : Springer,c2023$$z9783031425356
001476576 830_0 $$aLecture notes in networks and systems ;$$vv. 750.$$x2367-3389
001476576 852__ $$bebk
001476576 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-42536-3$$zOnline Access$$91397441.1
001476576 909CO $$ooai:library.usi.edu:1476576$$pGLOBAL_SET
001476576 980__ $$aBIB
001476576 980__ $$aEBOOK
001476576 982__ $$aEbook
001476576 983__ $$aOnline
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