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Iterative learning control algorithms and experimental benchmarking / / Eric Rogers, [and three others]
| Iterative learning control algorithms and experimental benchmarking / / Eric Rogers, [and three others] |
| Autore | Rogers E. T. A (Eric Thomas Alexander), <1956-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2023] |
| Descrizione fisica | 1 online resource (451 pages) |
| Disciplina | 354.81150006 |
| Soggetto topico | Intelligent control systems |
| ISBN |
1-118-53538-3
1-118-53534-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830796603321 |
Rogers E. T. A (Eric Thomas Alexander), <1956->
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| Hoboken, New Jersey : , : Wiley, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The job ladder : transforming informal work and livelihoods in developing countries / / edited by Gary S. Fields [and four others]
| The job ladder : transforming informal work and livelihoods in developing countries / / edited by Gary S. Fields [and four others] |
| Pubbl/distr/stampa | Oxford, England : , : Oxford University Press, , [2023] |
| Descrizione fisica | 1 online resource (347 pages) |
| Disciplina | 354.81150006 |
| Collana | WIDER Studies in Development Economics |
| Soggetto topico | Informal sector (Economics) - Developing countries |
| ISBN |
0-19-269289-5
0-19-269290-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910717411303321 |
| Oxford, England : , : Oxford University Press, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Knowledge management and sustainable value creation : needs as a strategic focus for organizations / / Florian Kragulj
| Knowledge management and sustainable value creation : needs as a strategic focus for organizations / / Florian Kragulj |
| Autore | Kragulj Florian |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (330 pages) |
| Disciplina | 354.81150006 |
| Collana | Knowledge Management and Organizational Learning |
| Soggetto topico | Industrial management |
| ISBN |
9783031127298
9783031127281 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- About This Book -- Contents -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Knowledge-Based Economy -- 1.2 Corporate Sustainability and Corporate Responsibility -- 1.3 Research Design -- References -- 2 Calls from Practice -- 2.1 Call for Stakeholder Capitalism -- 2.2 Call for Holistic Value Creation -- 2.3 Call for Knowledge Enabling Ethically Sound Judgments -- 2.4 Summary -- References -- 3 Theoretical Framework of the NKDO -- 3.1 What Makes an Organization? The Case of the Firm -- 3.1.1 ``The Nature of the Firm'': Cost Advantage -- 3.1.2 Behavioral Theory of the Firm -- 3.1.3 Resource-Based View of the Firm -- 3.1.3.1 Knowledge-Based View of the Firm -- 3.1.3.2 Natural-Resource-Based View -- 3.1.3.3 Social Resource-Based View -- 3.1.4 Summary -- 3.2 Pillars of the Need Knowledge-Driven Organization -- 3.2.1 Method -- 3.2.1.1 Literature Reviews -- 3.2.1.2 Interview Study -- 3.2.2 Organizational Purpose -- 3.2.2.1 Literature Findings -- 3.2.2.2 Empirical Findings -- 3.2.2.3 Synthesis -- 3.2.3 Stakeholders -- 3.2.3.1 Literature Findings -- 3.2.3.2 Empirical Findings -- 3.2.3.3 Synthesis -- 3.2.4 Phronesis -- 3.2.4.1 Literature Findings -- 3.2.4.2 Empirical Findings -- 3.2.4.3 Synthesis -- 3.2.5 Need-Based Strategy -- 3.2.5.1 Strategy as a Shape of the Organization -- 3.2.5.2 Focus on Needs -- 3.2.5.3 Summary -- References -- 4 Conceptual Principles of the Need Knowledge-Driven Organization -- References -- 5 Guiding Framework of the Need Knowledge-driven Organization for Practice -- 5.1 Need Knowledge -- 5.2 Integrated Causal Framework -- 5.2.1 Stakeholders -- 5.2.2 Organizational Purpose -- 5.2.3 Needs -- 5.2.4 Need-Based Strategy -- 5.2.5 Need-Based Coalitions -- References -- 6 Conclusion -- References. |
| Record Nr. | UNINA-9910624306403321 |
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Kragulj Florian
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| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning country in landscape architecture : Indigenous knowledge systems, respect and appreciation / / edited by David S. Jones
| Learning country in landscape architecture : Indigenous knowledge systems, respect and appreciation / / edited by David S. Jones |
| Pubbl/distr/stampa | Singapore : , : Palgrave Macmillan, , [2021] |
| Descrizione fisica | 1 online resource (139 pages) : illustrations |
| Disciplina | 354.81150006 |
| Soggetto topico | Indigenous peoples - Education (Higher) |
| ISBN | 981-15-8876-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction Surveying the Australian Landscape -- 2. Country -- 3. Indigenous Knowledge Systems and Education in Australia -- 4. Professional Accreditation Knowledge and Policy Context -- 5. Learning Environments and Contexts -- 6. Student and Graduate Voices -- 7. Respecting Country and People: Pathways Forward. |
| Record Nr. | UNINA-9910483345803321 |
| Singapore : , : Palgrave Macmillan, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Lifetime reliability-aware design of integrated circuits / / Mohsen Raji, Behnam Ghavami
| Lifetime reliability-aware design of integrated circuits / / Mohsen Raji, Behnam Ghavami |
| Autore | Raji Mohsen |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (113 pages) |
| Disciplina | 354.81150006 |
| Soggetto topico | Integrated circuits - Reliability |
| ISBN | 3-031-15345-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgment -- Contents -- Impacts of Process Variations and Aging on Lifetime Reliability of Flip-Flops -- 1 Introduction -- 2 Analysis Methodology -- 2.1 Flip-Flop Topologies Under Study -- 2.2 Timing Parameters of Flip-Flops -- 2.3 Aging Effects -- 2.4 BTI Model -- 2.5 Process Variation Model -- 3 Vth Degradation Analysis Approach -- 4 Timing Yield-Aware Lifetime Reliability Metric -- 5 Experimental Results -- 5.1 Characterization Setup -- 5.2 FF Characterization Results -- 5.3 Aging Impacts on Lifetime Reliability -- 5.4 Power-Delay-Product Comparison of FFs -- 6 Discussion and Conclusions -- References -- Restructuring-Based Lifetime Reliability Improvement of Nanoscale Master-Slave Flip-Flops -- 1 Introduction -- 2 Proposed Lifetime Reliability Improvement Approach -- 2.1 Basic Idea -- 2.2 Technique Application to TGFF -- 2.3 Technique Application to TGFFV2 -- 2.4 Technique Application to WPMS -- 2.5 Technique Application to C2MOS -- 2.6 Transistor Sizing -- 3 Experimental Results -- 3.1 Characterization Setup -- 3.2 Lifetime Reliability Increase -- 3.3 Cost Evaluation -- 4 Conclusion -- References -- Lifetime Reliability Improvement of Pulsed Flip-Flops -- 1 Introduction -- 2 Proposed Lifetime Improvement Approach -- 2.1 Basic Idea -- 2.2 Application of the Technique to HLFF -- 2.3 Application of the Technique to SDFF -- 2.4 Application of Technique to USDFF -- 2.5 Technique Application to XCFF -- 3 Experimental Results -- 3.1 Characterization Setup -- 3.2 FF Characterization Results -- 3.3 Lifetime Reliability of Both Structures -- 3.4 Lifetime Reliability Increase -- 3.5 Cost Evaluation -- 4 Conclusion -- References -- Gate Sizing-Based Lifetime Reliability Improvement of Integrated Circuits -- 1 Introduction -- 2 Proposed Framework -- 2.1 Statistical Gate Delay Model Under the Joint Effects of NBTI and PV.
2.1.1 Initial Gate Delay Under PV Effects -- 2.1.2 Delay Degradation Under the Joint Effects of NBTI and PV Considering Spatial Correlation -- 2.2 Statistical Circuit-Level Delay Computation Considering the Joint Effects of NBTI and PV -- 2.2.1 Arrival Time Propagation -- 2.2.2 Merging Arrival Times -- 2.3 Incremental Criticality-Based Statistical Gate-Sizing Algorithm -- 3 Experimental Results -- 3.1 Circuit Lifetime Reliability Optimization -- 4 Conclusion -- References -- Joint Timing Yield and Lifetime Reliability Optimization of Integrated Circuits -- 1 Introduction -- 2 Problem Formulation -- 3 Gate-Level Delay Model Under the Joint Effects of NBTI and PV -- 3.1 Initial Gate Delay Under PV -- 3.2 Delay Degradation Under Joint Effects of NBTI and PV -- 4 Gate Sizing Method -- 4.1 First Phase: Initial Delay Optimization -- 4.2 Second Phase: Guardband Optimization -- 4.2.1 Guiding Metrics -- 4.2.2 Multiobjective Ranking -- 5 Experimental Results -- 5.1 Effect of Timing Yield Optimization -- 5.2 Evaluation of the Delay Degradation-Aware Gate Criticality Metric -- 6 Conclusion -- References -- Lifetime Reliability Optimization Algorithms of Integrated Circuits Using Dual-Threshold Voltage Assignment -- 1 Introduction -- 2 PV- and BTI-Aware Gate Delay Model -- 3 Guardband-Aware Lifetime Reliability (GAR) Metric -- 4 Dual-Threshold Voltage Assignment Technique -- 4.1 Motivation Example -- 4.2 Vth Assignment Technique Overhead -- 5 Lifetime Reliability Optimization Flow -- 5.1 Process Variation- and BTI-Aware Criticality Metric -- 5.2 Optimization Algorithm-Based DVth Assignment Policy -- 5.2.1 Optimization Approach #1: Greedy-Based Method (GeRO) -- 5.2.2 Optimization Approach #2: Simulated-Annealing-Based Method (SARO) -- 5.2.3 Optimization Approach #3: Sensitivity-Based Method (TIRO) -- 6 Experimental Results. 6.1 PV- and BTI-Aware Delay Degradation Model Verification -- 6.2 Lifetime Reliability Analysis -- 6.3 Lifetime Reliability Optimization -- 6.4 Algorithm Computation Complexity and Runtime -- 7 Conclusion -- References -- Index. |
| Record Nr. | UNINA-9910631096403321 |
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Raji Mohsen
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| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning and data mining for emerging trend in cyber dynamics : theories and applications / / edited by Haruna Chiroma, 3 others
| Machine learning and data mining for emerging trend in cyber dynamics : theories and applications / / edited by Haruna Chiroma, 3 others |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (315 pages) : illustrations |
| Disciplina | 354.81150006 |
| Soggetto topico | Industries |
| ISBN | 3-030-66288-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- A Survey of Machine Learning for Network Fault Management -- 1 Introduction -- 2 Network Fault Management -- 3 Pattern Mining-Based Approaches -- 3.1 Episode and Association Rules Mining-Based Approaches -- 3.2 Sequential Pattern Mining-Based Approaches -- 3.3 Clustering-Based Approaches -- 3.4 Summary and Perspective -- 4 Machine Learning-Based Approaches -- 4.1 Artificial Neural Networks-Based Approaches -- 4.2 Decision Tree-Based Approaches -- 4.3 Bayesian Networks-Based Approaches -- 4.4 Support-Vector Machine-Based Approaches -- 4.5 Dependency Graph-Based Approaches -- 4.6 Other Approaches -- 4.7 Summary and Perspective -- 5 Conclusion -- References -- Deep Bidirectional Gated Recurrent Unit for Botnet Detection in Smart Homes -- 1 Introduction -- 2 Deep BGRU Method for Botnet Detection in IoT Networks -- 2.1 Bidirectional Gated Recurrent Unit -- 2.2 The Proposed Method for Selection of Optimal BGRU Hyperparameters -- 2.3 Deep BGRU Classifier for IoT Botnet Detection -- 3 Results and Discussion -- 3.1 Influence of Activation Functions on Classification Performance -- 3.2 Influence of the Number of Epochs on Classification Performance -- 3.3 Influence of the Number of Hidden Layers on Classification Performance -- 3.4 Influence of Hidden Units on Classification Performance -- 3.5 Influence of Batch Size on Classification Performance -- 3.6 Influence of Optimizers on Classification Performance -- 3.7 Performance of Deep BGRU-Based Multi-class Classifier -- 4 Conclusion -- References -- Big Data Clustering Techniques: Recent Advances and Survey -- 1 Introduction -- 2 Clustering Techniques -- 2.1 Partitioning Methods -- 2.2 Hierarchical Clustering Methods -- 2.3 Density-Based Methods -- 2.4 Grid-Based Algorithms -- 2.5 Model-Based Methods -- 3 Big Data Clustering Approaches -- 3.1 Data Reduction-Based Methods.
3.2 Centre-Based Reduction Methods -- 3.3 Parallel Techniques -- 4 Big Data Clustering Applications -- 4.1 Healthcare -- 4.2 Internet of Things (IoT) -- 4.3 Anomaly Detection -- 4.4 Social Media -- 5 Discussion -- 6 Challenges and Future Research Work -- 7 Conclusion -- References -- A Survey of Network Intrusion Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Machine Learning -- 2.1 Supervised Learning -- 2.2 Un-Supervised Learning -- 2.3 Semi-supervised Learning -- 2.4 Reinforcement Learning -- 2.5 Ensemble Learning -- 2.6 Feature Selection -- 3 Machine Learning Based Intrusion Detection System -- 3.1 Intrusion Detection System (IDS) -- 4 Hybrid Intrusion Detection Systems -- 5 Evaluations of Intrusion Detection System -- 5.1 KDD Cup-'99 Dataset -- 5.2 NSL-KDD Dataset -- 5.3 Kyoto 2006 + Dataset -- 5.4 Performance Metrics -- 6 Research Opportunities -- 7 Conclusion -- References -- Indexing in Big Data Mining and Analytics -- 1 Introduction -- 1.1 Objective of the Chapter -- 1.2 Taxonomy of the Chapter -- 2 Index and Indexing -- 2.1 Index Architecture and Indexing Types -- 2.2 Bitmap Index -- 2.3 Dense Index -- 2.4 Sparse Index -- 3 Online Indexes -- 3.1 Online Indexing -- 3.2 Database Cracking -- 3.3 Adaptive Merge -- 3.4 Big Data Analytics Platforms -- 4 Inherent Indexes in MapReduce -- 4.1 Per Document Indexing -- 4.2 Per-Posting List Indexing -- 5 User-Defined Indexing in MapReduce -- 6 Conclusion -- References -- Two-Steps Wrapper-Based Feature Selection in Classification: A Comparison Between Continuous and Binary Variants of Cuckoo Optimisation Algorithm -- 1 Introduction -- 2 Background -- 2.1 Cuckoo Optimisation Algorithm -- 2.2 Binary Cuckoo Optimisation Algorithm -- 2.3 Related Works -- 3 Proposed Wrapper-Based Feature Selection Approaches -- 3.1 BCOA and COA for Feature Selection. 3.2 A Combined Fitness Function for BCOA and COA Feature Selection -- 4 Experimental Design -- 4.1 Experimental Datasets -- 4.2 Experimental Parameter Settings -- 4.3 Benchmark Approaches -- 5 Results and Discussions -- 5.1 Results of the Proposed BCOA-FS and COA-FS -- 5.2 Results of the Proposed BCOA-2S and COA-2S -- 5.3 Comparison Between Proposed Methods and Classical Methods -- 5.4 Comparison Between Proposed Methods and Other Existing Methods -- 5.5 Comparisons Between BCOA and COA -- 5.6 Further Discussions -- 6 Conclusions and Future Work -- References -- Malicious Uniform Resource Locator Detection Using Wolf Optimization Algorithm and Random Forest Classifier -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Method of Data Collection and Preparation -- 3.2 Feature Subset Selection -- 3.3 Meta-Heuristics Algorithms -- 3.4 Classification -- 3.5 Cross-Validation -- 3.6 Evaluation Metric -- 4 Results and Discussion -- 4.1 Modelling and Interpretation -- 4.2 Models Comparison Based on SVM as a Classifier -- 4.3 Models Comparison Based on RF as a Classifier -- 4.4 Comparison with Existing Models -- 5 Conclusion -- References -- Improved Cloud-Based N-Primes Model for Symmetric-Based Fully Homomorphic Encryption Using Residue Number System -- 1 Introduction -- 2 Related Works -- 3 Research Method -- 3.1 Homomorphic Encryption -- 3.2 N-Primes Model -- 3.3 Residue Number System -- 3.4 Proposed RNS-Based N-Primes Model for Symmetric FHE -- 4 Results and Discussion -- 5 Conclusion -- Appendix A: Ciphertext -- References -- Big Data Analytics: Partitioned B+-Tree-Based Indexing in MapReduce -- 1 Introduction -- 1.1 Objective of the Chapter -- 2 Literature Review -- 2.1 Inverted Index in MapReduce -- 2.2 User-Defined Indexing in MapReduce -- 3 Methodology -- 3.1 Partitioned B+-Tree -- 3.2 InputSplit as Component of Choice in the HDFS. 4 Experimental Results and Discussion -- 4.1 The Dataset -- 4.2 Index Building Using the Datasets -- 4.3 Test Queries -- 4.4 The Experiment and Its Setup -- 4.5 Index Creation Performance Evaluation -- 5 Results and Discussions -- 6 Conclusion -- References -- Internet of Vehicle for Two-Vehicle Look-Ahead Convoy System Using State Feedback Control -- 1 Introduction -- 2 System Architecture -- 2.1 IoV Components -- 2.2 IoV Architecture for Two-Vehicle Look-Ahead Convoy -- 2.3 Platform Used for Implementation of the Model -- 3 Modeling of the Two Look-Ahead Vehicle Convoy Strategy -- 4 Vehicle Dynamic -- 4.1 SFC Design Using Pole-Placement Approach -- 4.2 Design Procedure of the SFC via Pole Placement Technique -- 4.3 Controllability System Test -- 5 Result and Discussion -- 6 Conclusion and Future Work -- References -- Vehicle Following Control with Improved Information Flow Using Two-Vehicle-Look-Ahead-Plus-Rear-Vehicle Topology -- 1 Introduction -- 2 Single-Vehicle External Dynamics -- 2.1 Aerodynamic Drag -- 2.2 Viscous Friction Drag -- 2.3 Rolling Resistance Force -- 2.4 Simplified Vehicle Dynamics -- 3 Following Vehicle Convoy Dynamics -- 4 Turning of Gains and Simulation -- 5 Results and Discussion -- 5.1 Comparison of the One-Vehicle Look-Ahead and Two-Vehicle Look-Ahead Against the Proposed Topology -- 6 Conclusion and Further Work -- References -- Extended Risk-Based Context-Aware Model for Dynamic Access Control in Bring Your Own Device Strategy -- 1 Introduction -- 2 Background -- 2.1 Dynamic Access Control in BYOD Strategy -- 2.2 Bayesian Network -- 3 Related Work -- 3.1 Risk Evaluation Model -- 3.2 Context-Aware Access Control Model -- 3.3 Finding from Related Work -- 4 Proposed ExtSRAM Model -- 4.1 Contextual Risk Factors -- 4.2 Enterprise Environment -- 5 ExtSRAM Process Flow -- 5.1 Assumptions on ExtSRAM Model. 5.2 ExtSRAM Methodology -- 6 Theoretical Validation of the Model -- 6.1 Soundness of ExtSRAM -- 6.2 Completeness of ExtSRAM -- 7 Future Research Directions -- 8 Conclusion -- References. |
| Record Nr. | UNINA-9910483360403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning and data mining for emerging trend in cyber dynamics : theories and applications / / edited by Haruna Chiroma, 3 others
| Machine learning and data mining for emerging trend in cyber dynamics : theories and applications / / edited by Haruna Chiroma, 3 others |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (315 pages) : illustrations |
| Disciplina | 354.81150006 |
| Soggetto topico | Industries |
| ISBN | 3-030-66288-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- A Survey of Machine Learning for Network Fault Management -- 1 Introduction -- 2 Network Fault Management -- 3 Pattern Mining-Based Approaches -- 3.1 Episode and Association Rules Mining-Based Approaches -- 3.2 Sequential Pattern Mining-Based Approaches -- 3.3 Clustering-Based Approaches -- 3.4 Summary and Perspective -- 4 Machine Learning-Based Approaches -- 4.1 Artificial Neural Networks-Based Approaches -- 4.2 Decision Tree-Based Approaches -- 4.3 Bayesian Networks-Based Approaches -- 4.4 Support-Vector Machine-Based Approaches -- 4.5 Dependency Graph-Based Approaches -- 4.6 Other Approaches -- 4.7 Summary and Perspective -- 5 Conclusion -- References -- Deep Bidirectional Gated Recurrent Unit for Botnet Detection in Smart Homes -- 1 Introduction -- 2 Deep BGRU Method for Botnet Detection in IoT Networks -- 2.1 Bidirectional Gated Recurrent Unit -- 2.2 The Proposed Method for Selection of Optimal BGRU Hyperparameters -- 2.3 Deep BGRU Classifier for IoT Botnet Detection -- 3 Results and Discussion -- 3.1 Influence of Activation Functions on Classification Performance -- 3.2 Influence of the Number of Epochs on Classification Performance -- 3.3 Influence of the Number of Hidden Layers on Classification Performance -- 3.4 Influence of Hidden Units on Classification Performance -- 3.5 Influence of Batch Size on Classification Performance -- 3.6 Influence of Optimizers on Classification Performance -- 3.7 Performance of Deep BGRU-Based Multi-class Classifier -- 4 Conclusion -- References -- Big Data Clustering Techniques: Recent Advances and Survey -- 1 Introduction -- 2 Clustering Techniques -- 2.1 Partitioning Methods -- 2.2 Hierarchical Clustering Methods -- 2.3 Density-Based Methods -- 2.4 Grid-Based Algorithms -- 2.5 Model-Based Methods -- 3 Big Data Clustering Approaches -- 3.1 Data Reduction-Based Methods.
3.2 Centre-Based Reduction Methods -- 3.3 Parallel Techniques -- 4 Big Data Clustering Applications -- 4.1 Healthcare -- 4.2 Internet of Things (IoT) -- 4.3 Anomaly Detection -- 4.4 Social Media -- 5 Discussion -- 6 Challenges and Future Research Work -- 7 Conclusion -- References -- A Survey of Network Intrusion Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Machine Learning -- 2.1 Supervised Learning -- 2.2 Un-Supervised Learning -- 2.3 Semi-supervised Learning -- 2.4 Reinforcement Learning -- 2.5 Ensemble Learning -- 2.6 Feature Selection -- 3 Machine Learning Based Intrusion Detection System -- 3.1 Intrusion Detection System (IDS) -- 4 Hybrid Intrusion Detection Systems -- 5 Evaluations of Intrusion Detection System -- 5.1 KDD Cup-'99 Dataset -- 5.2 NSL-KDD Dataset -- 5.3 Kyoto 2006 + Dataset -- 5.4 Performance Metrics -- 6 Research Opportunities -- 7 Conclusion -- References -- Indexing in Big Data Mining and Analytics -- 1 Introduction -- 1.1 Objective of the Chapter -- 1.2 Taxonomy of the Chapter -- 2 Index and Indexing -- 2.1 Index Architecture and Indexing Types -- 2.2 Bitmap Index -- 2.3 Dense Index -- 2.4 Sparse Index -- 3 Online Indexes -- 3.1 Online Indexing -- 3.2 Database Cracking -- 3.3 Adaptive Merge -- 3.4 Big Data Analytics Platforms -- 4 Inherent Indexes in MapReduce -- 4.1 Per Document Indexing -- 4.2 Per-Posting List Indexing -- 5 User-Defined Indexing in MapReduce -- 6 Conclusion -- References -- Two-Steps Wrapper-Based Feature Selection in Classification: A Comparison Between Continuous and Binary Variants of Cuckoo Optimisation Algorithm -- 1 Introduction -- 2 Background -- 2.1 Cuckoo Optimisation Algorithm -- 2.2 Binary Cuckoo Optimisation Algorithm -- 2.3 Related Works -- 3 Proposed Wrapper-Based Feature Selection Approaches -- 3.1 BCOA and COA for Feature Selection. 3.2 A Combined Fitness Function for BCOA and COA Feature Selection -- 4 Experimental Design -- 4.1 Experimental Datasets -- 4.2 Experimental Parameter Settings -- 4.3 Benchmark Approaches -- 5 Results and Discussions -- 5.1 Results of the Proposed BCOA-FS and COA-FS -- 5.2 Results of the Proposed BCOA-2S and COA-2S -- 5.3 Comparison Between Proposed Methods and Classical Methods -- 5.4 Comparison Between Proposed Methods and Other Existing Methods -- 5.5 Comparisons Between BCOA and COA -- 5.6 Further Discussions -- 6 Conclusions and Future Work -- References -- Malicious Uniform Resource Locator Detection Using Wolf Optimization Algorithm and Random Forest Classifier -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Method of Data Collection and Preparation -- 3.2 Feature Subset Selection -- 3.3 Meta-Heuristics Algorithms -- 3.4 Classification -- 3.5 Cross-Validation -- 3.6 Evaluation Metric -- 4 Results and Discussion -- 4.1 Modelling and Interpretation -- 4.2 Models Comparison Based on SVM as a Classifier -- 4.3 Models Comparison Based on RF as a Classifier -- 4.4 Comparison with Existing Models -- 5 Conclusion -- References -- Improved Cloud-Based N-Primes Model for Symmetric-Based Fully Homomorphic Encryption Using Residue Number System -- 1 Introduction -- 2 Related Works -- 3 Research Method -- 3.1 Homomorphic Encryption -- 3.2 N-Primes Model -- 3.3 Residue Number System -- 3.4 Proposed RNS-Based N-Primes Model for Symmetric FHE -- 4 Results and Discussion -- 5 Conclusion -- Appendix A: Ciphertext -- References -- Big Data Analytics: Partitioned B+-Tree-Based Indexing in MapReduce -- 1 Introduction -- 1.1 Objective of the Chapter -- 2 Literature Review -- 2.1 Inverted Index in MapReduce -- 2.2 User-Defined Indexing in MapReduce -- 3 Methodology -- 3.1 Partitioned B+-Tree -- 3.2 InputSplit as Component of Choice in the HDFS. 4 Experimental Results and Discussion -- 4.1 The Dataset -- 4.2 Index Building Using the Datasets -- 4.3 Test Queries -- 4.4 The Experiment and Its Setup -- 4.5 Index Creation Performance Evaluation -- 5 Results and Discussions -- 6 Conclusion -- References -- Internet of Vehicle for Two-Vehicle Look-Ahead Convoy System Using State Feedback Control -- 1 Introduction -- 2 System Architecture -- 2.1 IoV Components -- 2.2 IoV Architecture for Two-Vehicle Look-Ahead Convoy -- 2.3 Platform Used for Implementation of the Model -- 3 Modeling of the Two Look-Ahead Vehicle Convoy Strategy -- 4 Vehicle Dynamic -- 4.1 SFC Design Using Pole-Placement Approach -- 4.2 Design Procedure of the SFC via Pole Placement Technique -- 4.3 Controllability System Test -- 5 Result and Discussion -- 6 Conclusion and Future Work -- References -- Vehicle Following Control with Improved Information Flow Using Two-Vehicle-Look-Ahead-Plus-Rear-Vehicle Topology -- 1 Introduction -- 2 Single-Vehicle External Dynamics -- 2.1 Aerodynamic Drag -- 2.2 Viscous Friction Drag -- 2.3 Rolling Resistance Force -- 2.4 Simplified Vehicle Dynamics -- 3 Following Vehicle Convoy Dynamics -- 4 Turning of Gains and Simulation -- 5 Results and Discussion -- 5.1 Comparison of the One-Vehicle Look-Ahead and Two-Vehicle Look-Ahead Against the Proposed Topology -- 6 Conclusion and Further Work -- References -- Extended Risk-Based Context-Aware Model for Dynamic Access Control in Bring Your Own Device Strategy -- 1 Introduction -- 2 Background -- 2.1 Dynamic Access Control in BYOD Strategy -- 2.2 Bayesian Network -- 3 Related Work -- 3.1 Risk Evaluation Model -- 3.2 Context-Aware Access Control Model -- 3.3 Finding from Related Work -- 4 Proposed ExtSRAM Model -- 4.1 Contextual Risk Factors -- 4.2 Enterprise Environment -- 5 ExtSRAM Process Flow -- 5.1 Assumptions on ExtSRAM Model. 5.2 ExtSRAM Methodology -- 6 Theoretical Validation of the Model -- 6.1 Soundness of ExtSRAM -- 6.2 Completeness of ExtSRAM -- 7 Future Research Directions -- 8 Conclusion -- References. |
| Record Nr. | UNISA-996464436503316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Marketing 5. 0 : Tecnología para la Humanidad / / Philip Kotler, Hermawan Kartajaya, and Iwan Setiawan
| Marketing 5. 0 : Tecnología para la Humanidad / / Philip Kotler, Hermawan Kartajaya, and Iwan Setiawan |
| Autore | Kotler Philip |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Madrid, Spain : , : Lid Editorial Empresarial S.L., , [2021] |
| Descrizione fisica | 1 online resource (152 pages) |
| Disciplina | 354.81150006 |
| Soggetto topico | Internet marketing |
| ISBN | 84-18952-31-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Record Nr. | UNINA-9910795638203321 |
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Kotler Philip
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| Madrid, Spain : , : Lid Editorial Empresarial S.L., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Marketing 5. 0 : Tecnología para la Humanidad / / Philip Kotler, Hermawan Kartajaya, and Iwan Setiawan
| Marketing 5. 0 : Tecnología para la Humanidad / / Philip Kotler, Hermawan Kartajaya, and Iwan Setiawan |
| Autore | Kotler Philip |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Madrid, Spain : , : Lid Editorial Empresarial S.L., , [2021] |
| Descrizione fisica | 1 online resource (152 pages) |
| Disciplina | 354.81150006 |
| Soggetto topico | Internet marketing |
| ISBN | 84-18952-31-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Record Nr. | UNINA-9910826615203321 |
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Kotler Philip
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| Madrid, Spain : , : Lid Editorial Empresarial S.L., , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Marx's Russian Moment / / Vesa Oittinen
| Marx's Russian Moment / / Vesa Oittinen |
| Autore | Oittinen Vesa <1951-> |
| Pubbl/distr/stampa | Cham, Switzerland : , : Palgrave Macmillan, , [2023] |
| Descrizione fisica | 1 online resource (xxi, 179 pages) |
| Disciplina | 354.81150006 |
| Collana | Marx, Engels, and Marxisms |
| Soggetto topico | Ideology |
| Soggetto non controllato | Political Science |
| ISBN | 9783031296628 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1.Introduction: Marx and Russia – yet an open theme -- 2. The Marx – Mikhailovskij dispute -- 3. Marx’s Theory of Ideology – from its Enlightenment roots to Russian discussions -- 4. Hegel, Engels and the ”People without History” -- 5. Revolutionary Morality and Russian Experiences: Marx, Bakunin, Dostoevsky- 6. Marx, Nikolai Ziber and Primitive Economy -- 7. Marx and Finland – Finland and Marx. |
| Record Nr. | UNINA-9910726285403321 |
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Oittinen Vesa <1951->
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| Cham, Switzerland : , : Palgrave Macmillan, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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