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Digital Business : Business Algorithms, Cloud Computing and Data Engineering / / edited by Srikanta Patnaik, Xin-She Yang, Madjid Tavana, Florin Popentiu-Vlădicescu, Feng Qiao
Digital Business : Business Algorithms, Cloud Computing and Data Engineering / / edited by Srikanta Patnaik, Xin-She Yang, Madjid Tavana, Florin Popentiu-Vlădicescu, Feng Qiao
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XV, 480 p. 111 illus., 77 illus. in color.)
Disciplina 006.3
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-93940-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Towards Algorithmic Business: A Paradigm Shift in Digital Business -- A Decentralized Business Ecosystem Model for Complex Products -- Compliance Management in Business Processes -- Sustainable Cloud Computing Realization for Different Applications: A Manifesto -- Auction Based Scheme for Resource Allotment in Cloud Computing -- M-Cloud Computing Based Agriculture Management System -- Detection and Analysis of Drowsiness in Human Beings Using Multimodal Signals -- Enhancing Security and Privacy in Enterprises Network by Using Biometrics Technologies -- Lightweight Context-Based Web-Service Composition Model for Mobile Devices -- Impact of Mobility in IOT devices for Healthcare -- Online Social Communities -- Event Detection Using Twitter Data. .
Record Nr. UNINA-9910484654603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Evolution in Computational Intelligence : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023)
Evolution in Computational Intelligence : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023)
Autore Bhateja Vikrant
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer, , 2023
Descrizione fisica 1 online resource (678 pages)
Altri autori (Persone) YangXin-She
FerreiraMarta Campos
SengarSandeep Singh
Travieso-GonzalezCarlos M
Collana Smart Innovation, Systems and Technologies Series
ISBN 981-9967-02-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Organization -- Preface -- Contents -- About the Editors -- 1 Towards the Development of a Decision-Making Framework: A Contribution Inform of a Decision Support Aid for Complex Technical Organization -- 1.1 Introduction -- 1.2 Literature -- 1.3 Methodology (Interpretative Approach to Decision-Making) -- 1.3.1 Epistemological Basis of Interpretivism -- 1.3.2 Vickers' Notion of an Appreciative System -- 1.4 Experimental Work-Contribution to Knowledge (Decision-Making as a Human Activity System-D'MHAS) -- 1.4.1 Perceive -- 1.4.2 Judge -- 1.4.3 Discern -- 1.4.4 Operational Factors of D'MHAS -- 1.4.5 Validation of the Model-D'MHAS -- 1.4.6 The Concept of Requisite Variety -- 1.4.7 D'MHAS as a Relationship Maintaining Model -- 1.5 Discussion -- 1.6 Conclusion -- Appendix -- References -- 2 Multi-attention TransUNet-A Transformer Approach for Image Description Generation -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed Model -- 2.3.1 Encoder Architecture -- 2.3.2 Pre-integration Module -- 2.3.3 Decoder Architecture -- 2.3.4 Model Optimization and Fine Tuning -- 2.4 Experiments and Evaluation -- 2.4.1 Experimental Setup -- 2.4.2 Analysis -- 2.4.3 Comparative Analysis with Similar Past Work Done -- 2.4.4 Sample Outputs Generated from Input Images -- 2.5 Conclusion and Future Scope -- References -- 3 Empirical Review of Oversampling Methods to Handle the Class Imbalance Problem -- 3.1 Introduction -- 3.2 Material and Methods -- 3.2.1 Oversampling Methods Used -- 3.2.2 Classification Models -- 3.2.3 Performance Measure -- 3.3 Dataset -- 3.4 Experiment and Results -- 3.5 Conclusion -- References -- 4 Automatic COVID Protocols-Based Human Entry Check System -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Proposed System -- 4.3.1 Block Diagram -- 4.4 Hardware Components -- 4.4.1 Raspberry Pi4 -- 4.4.2 Servomotor -- 4.4.3 Liquid Pump Motor.
4.4.4 Temperature Sensor: Mlx90614 -- 4.4.5 Raspberry Pi Cam -- 4.5 Working Procedure -- 4.5.1 Flow Chart -- 4.6 Result -- 4.6.1 Result Face Mask Detection and Temperature Sensing -- 4.6.2 Servomotor Result -- 4.7 Conclusion and Future Scope -- 4.7.1 Conclusion -- 4.7.2 Future Scope -- References -- 5 Effect of Machine Translation on Authorship Attribution -- 5.1 Introduction -- 5.2 Corpus and Used Dataset -- 5.3 Approach of Authorship Attribution and Experimental Protocol -- 5.4 Experiments and Results -- 5.5 Conclusion -- References -- 6 Smart Hospitality: Understanding the 'Green' Challenges of Hotels and How IoT-Based Sustainable Development Could be the Answer -- 6.1 Introduction -- 6.2 Insight into the Hotel Hospitality Industry -- 6.2.1 The 'Green' Landscape in the Hospitality Industry -- 6.3 The Internet of Things (IoT) and Sustainable Development -- 6.4 Study -- 6.4.1 Introduction -- 6.4.2 Methods -- 6.4.3 Procedure -- 6.4.4 Participants -- 6.4.5 Results -- 6.4.6 Discussion and Conclusion -- 6.4.7 Reflection on the Benefits of IoT Technology for Green Hotel Practices -- 6.5 Conclusion -- 6.5.1 Future Work -- References -- 7 A Novel Knowledge Distillation Technique for Colonoscopy and Medical Image Segmentation -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Methodology -- 7.3.1 Dataset -- 7.3.2 Image Preprocessing -- 7.3.3 Base Neural Network Architectures -- 7.3.4 Knowledge Distillation with Pairs of Different Students and Teacher Networks -- 7.3.5 Experimental Setup -- 7.4 Results and Discussion -- 7.5 Conclusion -- 7.6 Future Work -- References -- 8 AI-Enabled Smart Monitoring Device for Image Capturing and Recognition -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 AI-Based Smart Monitoring Engine -- 8.3.1 System Design -- 8.3.2 Training Architectures -- 8.4 Practical Implementation -- 8.4.1 Age and Gender Detection.
8.4.2 Vehicle Number Plate Recognition -- 8.5 Conclusion -- References -- 9 A Compact Formulation for the mDmSOP: Theoretical and Computational Time Analysis -- 9.1 Introduction -- 9.2 Problem Definition -- 9.2.1 An Improved ILP Formulation -- 9.3 Comparative Results -- 9.3.1 Test Instances -- 9.3.2 Computational Results -- 9.3.3 Inferential Results -- 9.4 Conclusion -- References -- 10 Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens' Social Media Comments -- 10.1 Introduction -- 10.2 Methodology -- 10.3 Results -- 10.3.1 Keywords -- 10.3.2 Time Series Analysis -- 10.4 Discussion -- 10.5 Conclusion -- References -- 11 Ensemble Machine Learning-Based Network Intrusion Detection System -- 11.1 Introduction -- 11.1.1 Background -- 11.1.2 Objective -- 11.1.3 Solution Overview -- 11.2 Literature Survey -- 11.3 Problem Description -- 11.3.1 Technical Architecture -- 11.4 Proposed Work -- 11.4.1 Datasets -- 11.4.2 Dataset Preprocessing -- 11.4.3 Anomaly Classifier Engine -- 11.4.4 Evaluation Metrics -- 11.4.5 Report Generation -- 11.5 Results -- 11.6 Conclusion and Future Work -- References -- 12 Household Power Consumption Analysis and Prediction Using LSTM -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Data Description -- 12.4 General Framework -- 12.4.1 Handling Insignificant Data-Data Cleaning -- 12.4.2 Reframing the Dataset -- 12.4.3 Splitting the Dataset -- 12.4.4 Training and Validating the Dataset -- 12.5 Conclusion -- References -- 13 Indian Stock Price Prediction Using Long Short-Term Memory -- 13.1 Introduction -- 13.2 Literature Survey -- 13.3 Dataset -- 13.4 Methodology -- 13.5 Implementation -- 13.5.1 Hardware and Software -- 13.5.2 Evaluation Metrics -- 13.6 Results and Discussion -- 13.7 Conclusion -- References -- 14 On the Impact of Temperature for Precipitation Analysis -- 14.1 Introduction.
14.2 Data Description -- 14.3 Precipitation Calculation -- 14.3.1 Standard Precipitation Index (SPI) -- 14.3.2 Estimating Precipitation Distribution Parameters for Stations with Short Data Series -- 14.4 Atmospheric Temperature in the Tropopause -- 14.5 Correlation Analysis Toward Identifying Interplay Between Temperature and Precipitation -- 14.6 Rainfall Prediction -- 14.6.1 Rainfall Prediction Using Multiple Linear Regression -- 14.6.2 Rainfall Prediction Using LSTM -- 14.7 Conclusion and Future Work -- References -- 15 Vision-Based Facial Detection and Recognition for Attendance System Using Reinforcement Learning -- 15.1 Introduction -- 15.2 Literature Study -- 15.3 Proposed Methodology -- 15.3.1 RLAS-Agent -- 15.3.2 RLAS-Environment -- 15.4 Results Discussion -- 15.5 Conclusion -- References -- 16 Cross-Modal Knowledge Distillation for Audiovisual Speech Recognition -- 16.1 Introduction -- 16.2 Literature Review -- 16.3 Proposed Methodology -- 16.3.1 Teacher Model -- 16.3.2 Student Model -- 16.4 Results -- 16.4.1 The Dataset -- 16.4.2 Evaluation Metrics -- 16.4.3 Transcriptional CTC Loss -- 16.4.4 Distillation Loss -- 16.4.5 Comparative Analysis -- 16.5 Conclusion -- References -- 17 Classification of Autism Spectrum Disorder Based on Brain Image Data Using Deep Neural Networks -- 17.1 Introduction -- 17.2 Related Work -- 17.3 Methodology -- 17.3.1 Convolution Neural Network (CNN) -- 17.3.2 Transfer Learning -- 17.4 Results -- 17.5 Conclusion and Future Directions -- References -- 18 Transformer-Based Attention Model for Email Spam Classification -- 18.1 Introduction -- 18.2 Related Works -- 18.3 Proposed Methodology -- 18.3.1 Bidirectional Encoder Representations from Transformers -- 18.3.2 Hyper Parameters -- 18.4 Evaluation Metrics -- 18.5 Experimental Results -- 18.5.1 Dataset -- 18.5.2 Results and Discussion -- 18.6 Conclusion.
References -- 19 Agriculture Land Image Classification Using Machine Learning Algorithms and Deep Learning Techniques -- 19.1 Introduction -- 19.2 Literature Review -- 19.3 Proposed Method -- 19.3.1 Dataset Description -- 19.4 Experimental Results -- 19.5 Conclusion -- References -- 20 A Comprehensive Machine Learning Approach in Detecting Coronary Heart Disease -- 20.1 Introduction -- 20.2 Literature Review -- 20.3 Design Methodology -- 20.3.1 Description of Dataset -- 20.3.2 Experimental Work -- 20.3.3 Algorithms Used -- 20.3.4 Support Vector Machine -- 20.3.5 Decision Tree -- 20.3.6 Random Forest -- 20.4 Result Analysis -- 20.5 Conclusion -- References -- 21 Evaluation of Crime Against Women Through Modern Data Visualization Techniques for Better Understanding of Alarming Circumstances Across India -- 21.1 Introduction -- 21.1.1 Preface -- 21.1.2 Origin of the Problem -- 21.1.3 Problem Statement with Objectives -- 21.1.4 Literature Review -- 21.2 Preliminaries -- 21.2.1 Dataset Description -- 21.3 Architecture Diagram -- 21.3.1 Description of Architecture Diagram -- 21.4 Proposed Methodology -- 21.5 Conclusion and Conflicts of Interests -- 21.5.1 Conclusion -- 21.5.2 Conflicts of Interests -- References -- 22 Artificial Neural Network-Based Malware Detection Model Among Shopping Apps to Increase the App Security -- 22.1 Introduction -- 22.2 Related Works -- 22.3 Malware in Apps -- 22.4 Machine Learning -- 22.5 Proposed Architecture -- 22.6 Architecture Description: -- 22.7 Methodology -- 22.7.1 Dataset -- 22.7.2 Classification Models -- 22.8 Performance Evaluation -- 22.9 Result Analysis -- 22.9.1 Accuracy -- 22.10 Conclusion -- References -- 23 A Satellite-Based Rainfall Prediction Model Using Convolution Neural Networks -- 23.1 Introduction -- 23.2 Review of Literature -- 23.3 Proposed Work -- 23.3.1 Architecture Diagram.
23.3.2 Description of Datasets and Tools.
Record Nr. UNINA-9910765486003321
Bhateja Vikrant  
Singapore : , : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Fourth International Congress on Information and Communication Technology : ICICT 2019, London, Volume 2 / / edited by Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Fourth International Congress on Information and Communication Technology : ICICT 2019, London, Volume 2 / / edited by Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 539 p. 233 illus., 142 illus. in color.)
Disciplina 006.312
Collana Advances in Intelligent Systems and Computing
Soggetto topico Electrical engineering
Data mining
Computer security
Communications Engineering, Networks
Data Mining and Knowledge Discovery
Systems and Data Security
ISBN 981-329-343-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto PESOHA: Privacy-preserving Evaluation System for Online Healthcare Applications -- Computer Vision and Hybrid Reality for Construction Safety Risks: a Pilot Study -- Data Reduction Using NMF for Outlier Detection Method in Wireless Sensor Networks -- Measuring Customer Satisfaction on Software Based Products: A Case study of ASAS-ERP Software at the University of Botswana -- To Develop a Water Quality Monitoring System for Aquaculture Areas Based on Agent Model -- Identifying Intrusions in Dynamic Environments using Semantic Trajectories and BIM for Worker Safety -- The ontological Approach in Organic Chemistry Intelligent System Development -- Effective way of Deriving the Context from a Handwritten Image/Object -- E-Voting System Based on Multiple Ballots Casting -- Against Malicious SSL/TLS Encryption: Identify.
Record Nr. UNINA-9910373901003321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Fourth International Congress on Information and Communication Technology : ICICT 2019, London, Volume 1 / / edited by Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Fourth International Congress on Information and Communication Technology : ICICT 2019, London, Volume 1 / / edited by Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (516 pages)
Disciplina 004
Collana Advances in Intelligent Systems and Computing
Soggetto topico Electrical engineering
Data mining
Computer security
Communications Engineering, Networks
Data Mining and Knowledge Discovery
Systems and Data Security
ISBN 981-15-0637-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910366610803321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information Systems Design and Intelligent Applications [[electronic resource] ] : Proceedings of Fifth International Conference INDIA 2018 Volume 2 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Radhakhrishna Somanah, Xin-She Yang, Roman Senkerik
Information Systems Design and Intelligent Applications [[electronic resource] ] : Proceedings of Fifth International Conference INDIA 2018 Volume 2 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Radhakhrishna Somanah, Xin-She Yang, Roman Senkerik
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (459 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Engineering
Artificial intelligence
Computational Intelligence
Signal, Image and Speech Processing
Artificial Intelligence
ISBN 981-13-3338-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Integrating information technology and marketing for better customer value -- Chapter 2: Use of Social Media for improving student engagement at Université des Mascareignes (UDM) -- Chapter 3: Conceptualising an online resource platform for business students at Université des Mascareignes -- Chapter 4: Development of an Incident Prioritization Model using Fuzzy Logic to Improve Quality and Productivity in IT Support Services -- Chapter 5: Automatic Text-Independent Kannada Dialect Identification System -- Chapter 6: HECMI: Hybrid Ensemble technique for Classification of Multiclass Imbalanced data -- Chapter 7: Dolphin Swarm Algorithm for Cryptanalysis -- Chapter 8: A Secured Communication Model for IoT -- Chapter 9: An Exploratory Study of Evidence-Based Clinical Decision Support Systems -- Chapter 10: Modelling the effects of wind farming on the local weather using Weather Research and Forecasting (WRF) model -- Chapter 11: Evaluation of Cloud Computing Adoption using a Hybrid TAM/TOE Model -- Chapter 12: Measuring the influence of moods on stock market using Twitter Analysis -- Chapter 13: Hand Gestures Categorisation and Recognition.
Record Nr. UNINA-9910481961603321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information Systems Design and Intelligent Applications [[electronic resource] ] : Proceedings of Fifth International Conference INDIA 2018 Volume 1 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Radhakhrishna Somanah, Xin-She Yang, Roman Senkerik
Information Systems Design and Intelligent Applications [[electronic resource] ] : Proceedings of Fifth International Conference INDIA 2018 Volume 1 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Radhakhrishna Somanah, Xin-She Yang, Roman Senkerik
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (547 pages)
Disciplina 004.21
Collana Advances in Intelligent Systems and Computing
Soggetto topico Engineering
Artificial intelligence
Computational Intelligence
Signal, Image and Speech Processing
Artificial Intelligence
ISBN 981-13-3329-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1:Path Generation of a Differential Mobile Robot Using Fuzzy Inference system -- Chapter 2: EEG Monitoring: Performance Comparison of Compressive Sensing Reconstruction Algorithms -- Chapter 3: An empirical analysis of big scholarly data to find the increase in Citations -- Chapter 4: Suppression of Artifacts for Mobile ICG using Non-Linear Adaptive Algorithms -- Chapter 5: Accurate Facial Ethnicity Classification Using Artificial Neural Networks Trained with Galactic Swarm Optimization Algorithm -- Chapter 6: A new technique for accurate segmentation, and detection of outfit using convolution neural networks -- Chapter 7: An Investigation of the TCP meltdown problem and Proposing Raptor Codes as a Novel to decrease TCP Retransmissions in VPN Systems -- Chapter 8: Internet of Things: A Survey on Technologies, Protocols, Applications, Opportunities And Challenges -- Chapter 9: Image denoising using wavelet transform based flower pollination algorithm -- Chapter 10: Comparative Analysis of PSO-SGO Algorithms for Localization in Wireless Sensor Networks -- Chapter 11: Design of Differential Amplifier Using Current Mirror Load in 90nm CMOS Technology -- Chapter 12: An analytical approach for Asthma Attack Prevention -- Chapter 13: Variance Based Feature Selection for Enhanced Classification Performance.
Record Nr. UNINA-9910483159903321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent Distributed Computing XII / / edited by Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang
Intelligent Distributed Computing XII / / edited by Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XV, 448 p. 108 illus.)
Disciplina 004.36
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-99626-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Main Track -- Long distance in-links for ranking enhancement -- Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency -- Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures -- Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources -- About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework -- Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform -- Finding Best Compiler Options for Critical Software Using Parallel Algorithms -- Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks -- Part II: Energy -- A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms -- Bio-inspired approximation to MPPT under real irradiation conditions -- Part III: Industry -- Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data Classification.
Record Nr. UNINA-9910299910903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Mathematical modeling with multidisciplinary applications [[electronic resource] /] / edited by Xin-She Yang
Mathematical modeling with multidisciplinary applications [[electronic resource] /] / edited by Xin-She Yang
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2013
Descrizione fisica 1 online resource (591 p.)
Disciplina 510.1/1
Altri autori (Persone) YangXin-She
Soggetto topico Differential equations
Mathematical models
ISBN 1-118-46270-X
1-118-45862-1
1-118-46269-6
Classificazione MAT000000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. 1. Introduction and foundations -- pt. 2. Mathematical modeling with multidisciplinary applications -- pt. 3. Advanced modeling topics.
Record Nr. UNINA-9910141604203321
Hoboken, N.J., : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Mathematical modeling with multidisciplinary applications / / edited by Xin-She Yang
Mathematical modeling with multidisciplinary applications / / edited by Xin-She Yang
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2013
Descrizione fisica 1 online resource (591 p.)
Disciplina 510.1/1
Altri autori (Persone) YangXin-She
Soggetto topico Differential equations
Mathematical models
ISBN 1-118-46270-X
1-118-45862-1
1-118-46269-6
Classificazione MAT000000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. 1. Introduction and foundations -- pt. 2. Mathematical modeling with multidisciplinary applications -- pt. 3. Advanced modeling topics.
Record Nr. UNINA-9910827946103321
Hoboken, N.J., : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Metaheuristic applications in structures and infrastructures / / edited by Amir Hossein Gandomi, Civil Engineering, the University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran
Metaheuristic applications in structures and infrastructures / / edited by Amir Hossein Gandomi, Civil Engineering, the University of Akron, OH, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK, Siamak Talatahari, Marand Faculty of Engineering, University of Tabriz, Tabriz, Iran, Amir Hossein Alavi, Civil Engineering, Iran University of Science and Technology, Tehran, Iran
Edizione [1st ed.]
Pubbl/distr/stampa London, : Elsevier, 2013
Descrizione fisica 1 online resource (xx, 556 pages) : illustrations (some color)
Disciplina 620.00151964
Collana Elsevier insights
Gale eBooks
Soggetto topico Engineering design - Mathematical models
Engineering - Statistical methods
Heuristic algorithms
ISBN 0-12-398379-7
1-299-19305-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Metaheuristic Applications in Structures and Infrastructures; Copyright Page; Contents; List of Contributors; 1 Metaheuristic Algorithms in Modeling and Optimization; 1.1 Introduction; 1.2 Metaheuristic Algorithms; 1.2.1 Characteristics of Metaheuristics; 1.2.2 No Free Lunch Theorems; 1.3 Metaheuristic Algorithms in Modeling; 1.3.1 Artificial Neural Networks; 1.3.1.1 Multilayer Perceptron Network; 1.3.1.2 Radial Basis Function; 1.3.2 Genetic Programming; 1.3.2.1 Linear-Based GP; 1.3.2.1.1 Linear Genetic Programming; 1.3.2.1.2 Gene Expression Programming
1.3.2.1.3 Multiexpression Programming1.3.3 Fuzzy Logic; 1.3.4 Support Vector Machines; 1.4 Metaheuristic Algorithms in Optimization; 1.4.1 Evolutionary Algorithms; 1.4.1.1 Genetic Algorithm; 1.4.1.2 Differential Evolution; 1.4.1.3 Harmony Search; 1.4.2 Swarm-Intelligence-Based Algorithms; 1.4.2.1 Particle Swarm Optimization; 1.4.2.2 Ant Colony Optimization; 1.4.2.3 Bee Algorithms; 1.4.2.4 Firefly Algorithm; 1.4.2.5 Cuckoo Search; 1.4.2.6 Bat Algorithm; 1.4.2.7 Charged System Search; 1.4.2.8 Krill Herd; 1.5 Challenges in Metaheuristics; References
2 A Review on Traditional and Modern Structural Optimization: Problems and Techniques2.1 Optimization Problems; 2.2 Optimization Techniques; 2.3 Optimization History; 2.4 Structural Optimization; 2.4.1 General Concept; 2.4.2 Major Advances in Structural Optimization; 2.4.3 OC Methods; 2.4.4 Reliability-Based Optimization Approach; 2.4.5 Fuzzy Optimization; 2.5 Metaheuristic Optimization Techniques; 2.5.1 Genetic Algorithm; 2.5.2 Simulated Annealing; 2.5.3 Tabu Search; 2.5.4 Ant Colony Optimization; 2.5.5 Particle Swarm Optimization; 2.5.6 Harmony Search; 2.5.7 Big Bang-Big Crunch
2.5.8 Firefly Algorithm2.5.9 Cuckoo Search; 2.5.10 Other Metaheuristics; References; 3 Particle Swarm Optimization in Civil Infrastructure Systems: State-of-the-Art Review; 3.1 Introduction; 3.2 Particle Swarm Optimization; 3.3 Structural Engineering; 3.3.1 Shape and Size Optimization Problems in Structural Design; 3.3.2 Structural Condition Assessment and Health Monitoring; 3.3.3 Structural Material Characterization and Modeling; 3.3.4 Other PSO Applications in Structural Engineering; 3.4 Transportation and Traffic Engineering; 3.4.1 Transportation Network Design
3.4.2 Traffic Flow Forecasting3.4.3 Traffic Control; 3.4.4 Traffic Accident Forecasting; 3.4.5 Vehicle Routing Problem; 3.4.6 Other PSO Application in Transportation and Traffic Engineering; 3.5 Hydraulics and Hydrology; 3.5.1 River Stage Prediction; 3.5.2 Design Optimization of Water/Wastewater Distribution Networks; 3.5.3 Reservoir Operation Problems; 3.5.4 Parameter Estimation/Calibration of Hydrological Models; 3.5.5 Other PSO Applications in Hydraulics and Hydrology; 3.6 Construction Engineering; 3.6.1 Construction Planning and Management; 3.6.2 Construction Litigation
3.6.3 Construction Cost Estimation and Prediction
Record Nr. UNINA-9910786137003321
London, : Elsevier, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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