Advances in Neuro-Information Processing [[electronic resource] ] : 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II / / edited by Mario Köppen, Nikola Kasabov, George Coghill |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (XXXVIII, 1087 p.) |
Disciplina | 004.6 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer networks
Computer science Artificial intelligence Computers, Special purpose Computer simulation Computer Communication Networks Theory of Computation Artificial Intelligence Models of Computation Special Purpose and Application-Based Systems Computer Modelling |
ISBN | 3-642-03040-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Neural Network Based Semantic Web, Data Mining and Knowledge Discovery -- Neural Networks Learning Paradigm -- Kernel Methods and SVM -- Neural Networks as a Soft Computing Technology -- Neural Networks and Pattern Recognition -- Neuromorphic Hardware and Embedded Neural Networks -- Machine Learning and Information Algebra -- Brain-Computer Interface -- Neural Network Implementations. |
Record Nr. | UNISA-996465849803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Neuro-Information Processing [[electronic resource] ] : 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I / / edited by Mario Köppen, Nikola Kasabov, George Coghill |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (LXXVI, 1257 p.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer networks
Computer science Artificial intelligence Computers, Special purpose Computer simulation Computer Communication Networks Theory of Computation Artificial Intelligence Models of Computation Special Purpose and Application-Based Systems Computer Modelling |
ISBN | 3-642-02490-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | INNS Symposium “New Directions in Neural Networks” -- Neurodynamics -- Cognitive Neuroscience -- Bioinformatics -- Special Session: Data Mining Methods for Cybersecurity -- Special Session: Computational Models and Their Applications in Machine Learning and Pattern Recognition -- Special Session: Recent Advances in Brain-Inspired Technologies for Robotics -- Special Session: Lifelong Incremental Learning for Intelligent Systems -- Special Session: Dynamics of Neural Networks -- Special Session: Applications of Intelligent Methods in Ecological Informatics -- Special Session: Pattern Recognition from Real-World Information by SVM and Other Sophisticated Techniques -- Special Session: Neural Information Processing in Cooperative Multi-robot Systems -- WORKSHOP: Hybrid and Adaptive Systems for Real-Time Robotics Vision and Control -- WORKSHOP: Neurocomputing and Evolving Intelligence – NCEI 2008. |
Record Nr. | UNISA-996465852103316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Neuro-Information Processing [[electronic resource] ] : 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I / / edited by Mario Köppen, Nikola Kasabov, George Coghill |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (LXXVI, 1257 p.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer networks
Computer science Artificial intelligence Computers, Special purpose Computer simulation Computer Communication Networks Theory of Computation Artificial Intelligence Models of Computation Special Purpose and Application-Based Systems Computer Modelling |
ISBN | 3-642-02490-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | INNS Symposium “New Directions in Neural Networks” -- Neurodynamics -- Cognitive Neuroscience -- Bioinformatics -- Special Session: Data Mining Methods for Cybersecurity -- Special Session: Computational Models and Their Applications in Machine Learning and Pattern Recognition -- Special Session: Recent Advances in Brain-Inspired Technologies for Robotics -- Special Session: Lifelong Incremental Learning for Intelligent Systems -- Special Session: Dynamics of Neural Networks -- Special Session: Applications of Intelligent Methods in Ecological Informatics -- Special Session: Pattern Recognition from Real-World Information by SVM and Other Sophisticated Techniques -- Special Session: Neural Information Processing in Cooperative Multi-robot Systems -- WORKSHOP: Hybrid and Adaptive Systems for Real-Time Robotics Vision and Control -- WORKSHOP: Neurocomputing and Evolving Intelligence – NCEI 2008. |
Record Nr. | UNINA-9910485147203321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Neuro-Information Processing [[electronic resource] ] : 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part II / / edited by Mario Köppen, Nikola Kasabov, George Coghill |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (XXXVIII, 1087 p.) |
Disciplina | 004.6 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer networks
Computer science Artificial intelligence Computers, Special purpose Computer simulation Computer Communication Networks Theory of Computation Artificial Intelligence Models of Computation Special Purpose and Application-Based Systems Computer Modelling |
ISBN | 3-642-03040-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Neural Network Based Semantic Web, Data Mining and Knowledge Discovery -- Neural Networks Learning Paradigm -- Kernel Methods and SVM -- Neural Networks as a Soft Computing Technology -- Neural Networks and Pattern Recognition -- Neuromorphic Hardware and Embedded Neural Networks -- Machine Learning and Information Algebra -- Brain-Computer Interface -- Neural Network Implementations. |
Record Nr. | UNINA-9910484173203321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
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Lo trovi qui: Univ. Federico II | ||
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Human-Centric Smart Computing : Proceedings of ICHCSC 2023 |
Autore | Bhattacharyya Siddhartha |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (703 pages) |
Altri autori (Persone) |
BanerjeeJyoti Sekhar
KöppenMario |
Collana | Smart Innovation, Systems and Technologies Series |
ISBN | 981-9977-11-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Advisory Committee -- Keynote Speakers of ICHCSC 23 -- Organizing Committee -- Technical Program Committee -- Preface -- Contents -- About the Editors -- 1 Registration of CT Images of Lung Using Fireworks Algorithm -- 1.1 Introduction -- 1.1.1 Transformation -- 1.2 Related Work -- 1.2.1 Medical Image Registration -- 1.3 Objective -- 1.4 Materials and Methods -- 1.4.1 FWA-IATF Algorithm -- 1.5 Result and Discussion -- 1.5.1 Image Dataset -- 1.5.2 Parameter Settings -- 1.5.3 Significance of Statistical Value -- 1.5.4 Multiple-Criteria Decision Making -- 1.6 Conclusion -- 1.7 Future Scope -- References -- 2 Exploring Microinteractions in Human-Computer Interaction: Design Principles, Types, and User Experience -- 2.1 Introduction -- 2.2 Understanding Microinteractions -- 2.3 Literature Review -- 2.4 Optimal Microinteraction Design -- 2.4.1 Components of a Microinteraction -- 2.4.2 Macrointeractions Versus Microinteractions -- 2.4.3 Types of Microinteractions -- 2.4.4 Principles for Designing Effective Microinteractions -- 2.4.5 Challenges -- 2.4.6 Discussion and Conclusion -- References -- 3 Opinion Mining-Based Predictive Model Based on Social Media Responses -- 3.1 Introduction -- 3.1.1 Related Works -- 3.1.2 Aim of Work -- 3.2 Proposed Work -- 3.2.1 Pre-processing Module -- 3.2.2 Tokenizing Module -- 3.2.3 Filtering Module -- 3.2.4 Identification of Relevant Words to the Unprecedented Event -- 3.3 Mathematical Model for Sentiment Score in Social Media -- 3.4 Experimental Analysis of Algorithm -- 3.4.1 Case 1 -- 3.4.2 Case 2 -- 3.4.3 Case 3 -- 3.4.4 Case 4 -- 3.5 Conclusion -- References -- 4 Quantifying the Impact and Growth of Smart Innovation, Systems and Technology: A Bibliometric Approach Mapping the Research Landscape Over 12 Years -- 4.1 Introduction -- 4.2 Methodology -- 4.3 Result Analysis.
4.3.1 Historical Evolution of Citations and Documents over Time -- 4.3.2 Top Prominent Writers -- 4.3.3 Most Significant Institutions -- 4.3.4 Most Significant Productive Countries Work -- 4.3.5 Top Impactful Cited Articles -- 4.3.6 Three-Field Plot -- 4.3.7 Thematic Map Making -- 4.3.8 Trend Topics -- 4.3.9 Co-occurrence of Words -- 4.3.10 Bibliographic Coupling of Countries -- 4.4 Conclusion -- References -- 5 Decomposition into Multi-Objective Fronts: A Pivot-Based Deterministic Non-dominated Sorting Approach -- 5.1 Introduction -- 5.1.1 Prerequisites -- 5.1.2 Literature Survey -- 5.1.3 Gap Identification and Motivation -- 5.1.4 Structure of the Paper -- 5.2 Methodology -- 5.2.1 Benchmark Data Set Specification -- 5.2.2 Pivot-Based Deterministic Non-dominated Sorting -- 5.3 Result and Analysis -- 5.3.1 Completeness and Correctness of the Algorithm -- 5.3.2 Complexity of the Proposed Algorithm -- 5.4 Conclusion -- 5.5 Future Scope -- References -- 6 Currency Recognition App for Blind People -- 6.1 Introduction -- 6.2 Relatedworks -- 6.3 Proposed System -- 6.4 Implementation -- 6.4.1 Dataset -- 6.4.2 Preparing the Data -- 6.4.3 Algorithm -- 6.4.4 Working of Convolutional Neural Network -- 6.5 Experimental Results -- 6.6 Conclusion -- References -- 7 A Hybrid Deep Convolution Neural Network Algorithm with Spatial Attention for Malware Detection in Android Operating System -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Proposed Methodology -- 7.3.1 Model Architecture -- 7.3.2 Algorithm -- 7.4 Results and Discussion -- 7.5 Conclusion -- References -- 8 Design and Development of Wireless Sensor Network for Real-Time Monitoring and Prevention of Accidents in Hilly Area -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Methodology -- 8.3.1 Flow of Transmitter Section -- 8.3.2 Flowchart of Receiver Section -- 8.4 Conclusion -- References. 9 Enhancing Accuracy in Water Pollution Prediction that Results in Chronic Infections on Marine Life Using Multi-linear Regression and Random Forest Regression -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 Materials and Methods -- 9.3.1 Data Samples -- 9.3.2 Marine Life Diseases Parameters Preprocessing -- 9.3.3 Parameters Selection and Description -- 9.3.4 Weightage and WQI Calculations -- 9.3.5 Water Quality Index Prediction -- 9.3.6 Performance Measurement -- 9.4 Results and Discussions -- 9.5 Conclusion -- References -- 10 Virtual Scribe for Visually Impaired Learners Through Interactive Speech-Based Application -- 10.1 Introduction -- 10.2 Literature Survey -- 10.3 Implementation -- 10.4 Components and Working of V-Scribe System -- 10.5 Integration and Testing -- 10.6 Results -- 10.7 Limitations -- 10.8 Conclusion and Future Works -- References -- 11 Faster CNN-Based Layout Analysis of Punjabi Newspapers Using the Custom Dataset -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Methodology -- 11.3.1 Pre-processing -- 11.3.2 Faster R-CNN -- 11.4 Data Collection and Annotation -- 11.4.1 Basic Details Regarding the Data -- 11.4.2 Data Pre-processing -- 11.4.3 Annotation of Punjabi Newspapers Images -- 11.5 Experiment -- 11.5.1 Environment Used -- 11.5.2 Dataset Creation -- 11.5.3 COCO Format -- 11.5.4 Metrices Used in Evaluating Model -- 11.5.5 Experiment Implementation -- 11.5.6 Major Challenges During Experiments -- 11.6 Conclusion -- References -- 12 Securing Data Based on Lightweight Algorithm for Internet of Things Networks -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Proposed Algorithm -- 12.3.1 Key Expansion Block -- 12.3.2 Encryption Process -- 12.3.3 Decryption Process -- 12.4 Comparative Study of the Proposed IoT Symmetric Key Algorithm -- 12.4.1 Result and Analysis -- 12.5 Conclusion and Future Work -- References. 13 An Exploration of How Children Can Be Proactive for Their Own Digital Privacy and Security in the Perspective of North-Eastern Bangladesh -- 13.1 Introduction -- 13.2 Background Study -- 13.3 Method -- 13.4 Children and Their Digital Behavioral Patterns: Findings from the Interviews -- 13.5 The Game-Based Survey -- 13.6 Findings and Discussion -- 13.6.1 Discussion with Parents -- 13.6.2 Password Sharing -- 13.6.3 Online Friends not Known to Parents -- 13.6.4 Photo Posting and Sharing -- 13.6.5 Downloading and Online Shopping -- 13.6.6 Privacy and Security Practice and Knowledge -- 13.7 Recommendations -- 13.8 Limitations and Future Work -- 13.9 Conclusion -- References -- 14 A Scalable URL-Based Phishing Websites Detection System Using Machine Learning Techniques -- 14.1 Introduction -- 14.2 Related Work -- 14.3 Proposed System -- 14.3.1 System Architecture -- 14.3.2 Proposed System Algorithm: RF Model for Predicting the Type of Website -- 14.3.3 Dataset -- 14.3.4 Modules in the System -- 14.4 Results and Discussion -- 14.4.1 Evaluation Metrics -- 14.4.2 Testing and Results -- 14.5 Conclusion -- References -- 15 Accident Detection and Prevention for Advanced Driver Assistance System -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Methodology -- 15.3.1 Purpose and Requirements -- 15.3.2 Components -- 15.3.3 Algorithm -- 15.3.4 Circuit Diagram -- 15.4 Results -- 15.5 Conclusion -- References -- 16 Labor Safety Analysis Using Object Recognition and Deep Learning -- 16.1 Introduction -- 16.2 Literature Survey -- 16.3 Methodology -- 16.3.1 Procedure -- 16.3.2 Model -- 16.3.3 Dataset -- 16.3.4 Keyframe Extraction -- 16.4 Results and Discussion -- 16.5 Conclusion and Future Work -- References -- 17 Diagnosis of Faults in Wireless Sensor Networks Through Machine Learning Approach -- 17.1 Introduction -- 17.2 Related Work -- 17.3 Problem Statement. 17.3.1 Fault Taxonomy in WSNs -- 17.3.2 Challenges in Detecting Faults in WSNs -- 17.4 Extra Trees-Based Fault Detection Approach -- 17.4.1 Proposed Approach -- 17.4.2 System Model for Fault Detection -- 17.5 Experimental Results and Discussions -- 17.5.1 Simulations -- 17.5.2 Real Dataset -- 17.5.3 Prepared Dataset -- 17.6 Conclusion -- References -- 18 Career Change: Systematic Literature Review and Future Research Agenda -- 18.1 Introduction -- 18.2 Research Methodology -- 18.2.1 Process of Data Collection -- 18.2.2 Selection of Study -- 18.2.3 Capturing of Data and Reliability -- 18.3 Results and Discussion -- 18.3.1 Initial Analysis -- 18.3.2 Thematic Analysis -- 18.3.3 Methodological Analysis: Nature of Career Change Research Method -- 18.4 Implications, Direction for Future Scope and Limitations -- 18.4.1 Managerial Implications -- 18.4.2 Direction for Future Research -- 18.5 Conclusion -- References -- 19 Prediction of Heart Disease and Improving Classifier Performance Using Particle Swarm Optimization -- 19.1 Introduction -- 19.2 Literature Survey -- 19.3 Prediction of Heart Disease -- 19.4 Result Analysis -- 19.5 Conclusion -- References -- 20 Exploring Artificial Neural Network for X-Parameter and S-Parameter Modelling of HEMT -- 20.1 Introduction -- 20.2 X-Parameter Modelling of HEMTS -- 20.2.1 Review of Existing X-Parameter Modelling Techniques and Limitations of Conventional Approaches for Modelling of HEMTs -- 20.3 S-Parameter Modelling of HEMTS -- 20.3.1 Review of Existing S-Parameter Modelling Techniques for HEMTs -- 20.4 Artificial Neural Network-Based Modelling -- 20.5 Experimental Setup -- 20.5.1 HEMT Device and Measurement Setup for Acquiring the X-Parameters -- 20.5.2 HEMT Device and Measurement Setup for Acquiring the S-Parameters -- 20.6 Results and Discussion. 20.6.1 Analysis of the ANN Model's Capability in Predicting S-Parameters. |
Record Nr. | UNINA-9910838282203321 |
Bhattacharyya Siddhartha
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Singapore : , : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Hybrid Intelligence for Social Networks [[electronic resource] /] / edited by Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario Köppen |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XIV, 327 p. 142 illus., 105 illus. in color.) |
Disciplina | 006.3 |
Soggetto topico |
Artificial intelligence
Computational intelligence Application software Artificial Intelligence Computational Intelligence Computer Appl. in Social and Behavioral Sciences |
ISBN | 3-319-65139-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Social Networks: Fundamentals and Applications -- MapReduce-Based K-FA Algorithm for Detecting Communities in Social Networks -- Group Search Optimization Strategy for Community Detection in Complex Networks -- Strategizing Information Dissemination in Real-Life Networks -- Nature-Inspired Heuristics Approach to Partitioning Complex Interaction Networks -- ROGO: Recommendations on the Go for Travel Tweeters -- Analysing Social Interaction Networks: Improving Teaching Learning Pedagogies -- Adapting Trustworthy Social Web Environments for the Cloud -- Enhanced Black-Hole Algorithm for Viral Marketing -- Comparative Analysis of Network Visualization Tools -- Enacting a Prioritized Health Awareness Campaign for Social Web Users -- Identifying Clusters in Complex Dynamic Social Networks Using Evolutionary Algorithms -- Using Intuitionistic Fuzzy Sets to Prioritize Relationships Among Facebook Users -- A Predictive Approach to Ranking Academic Articles. . |
Record Nr. | UNINA-9910254840903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Soft Computing in Data Science [[electronic resource] ] : 5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings / / edited by Michael W. Berry, Bee Wah Yap, Azlinah Mohamed, Mario Köppen |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (395 pages) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Application software Data mining Optical data processing Artificial Intelligence Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Image Processing and Computer Vision |
ISBN | 981-15-0399-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Information and Customer Analytics -- Visual Data Science -- Machine and Deep Learning -- Big Data Analytics -- Computational and Artificial Intelligence -- Social Network and Media Analytics. |
Record Nr. | UNINA-9910350216403321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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