Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Data Science and Security : Proceedings of IDSCS 2023
| Data Science and Security : Proceedings of IDSCS 2023 |
| Autore | Shukla Samiksha |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (568 pages) |
| Altri autori (Persone) |
SayamaHiroki
KureetharaJoseph Varghese MishraDurgesh Kumar |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9709-75-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Fear and Finance: An Unsupervised Machine Learning Study on Credit-Averse Households in the U.S -- 1 Introduction -- 1.1 Background on Credit Fear and Its Impact on Households -- 1.2 Purpose of the Research -- 1.3 Overview of the Methodology and Data Sources -- 2 Literature Review -- 2.1 Previous Research on Credit Fear and Credit Constraints -- 2.2 Overview of the Survey of Consumer Finances (SCF) -- 2.3 Overview of Unsupervised Machine Learning Method with Clustering -- 3 Methodology -- 3.1 K-means Clustering -- 4 Analysis and Results -- 4.1 Data Preparation -- 4.2 Feature Selection Approach -- 4.3 Principal Component Analysis -- 5 Conclusions -- 5.1 Limitations and Future Research Directions -- References -- OGIA: Ontology Integration and Generation Using Archaeology as a Domain -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Results and Performance Evaluation -- 5 Conclusions -- References -- Data: A Key to HR Analytics for Talent Management -- 1 Introduction -- 2 Conventional Talent Management Techniques -- 2.1 Comparison Between the Traditional Performance Management System and the Unconventional Performance Management System -- 3 Framework for Data-Driven Talent Management -- 4 Parameters Used in HR Analytics -- 5 Tools Used for HR Analytics -- 6 Challenges of Conventional Talent Management Techniques -- 7 Importance of Data and HR Analytics in Workforce Planning -- 7.1 Analyzing Workforce Turnover Patterns Using Data Analytics: A Case Study -- 8 Application of Data-Oriented HR Analytics -- 8.1 Healthcare Sector -- 8.2 Academics -- 8.3 IT Sector -- 9 Limitations -- 10 Conclusion and Future Recommendations -- References -- An Early Lumpy Skin Disease Detection System Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Data Collection -- 3.1 Data Pre-processing.
4 Model Training -- 4.1 Decision Tree -- 4.2 Random Forest -- 4.3 Logistic Regression -- 4.4 Support Vector Machine -- 4.5 KNN -- 5 Results and Discussion -- 6 Conclusion -- References -- Extracting Network Structures from Corporate Organization Charts Using Heuristic Image Processing -- 1 Introduction -- 2 Dataset -- 3 Method -- 4 Results -- 5 Conclusions -- References -- Generating Equations for Mathematical Word Problems Using Multi-head Attention Transformer -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Baseline Model (Bi-LSTM Model with Attention Layers) -- 3.3 Transformer Model with Attention -- 4 Results and Conclusions -- 5 Future Scope -- References -- Autonomous System Enabling Node and Edge Detection, Path Optimization, and Effective Color-Coded Box Management in Diverse Robotic Environments -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Extracting Necessary Features and Information from the Given Image -- 3.2 Path Planning and Navigation -- 4 Implementation Using LiDAR -- 5 Comparative Study -- 6 Results -- 7 Future Scope and Conclusion -- References -- GLANCE-Guided Language Through Autoregression Establishing Natural and Classifier-Free Editing -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Scene Tokenizing and Representation -- 3.2 Prioritizing Human Attention in Tokenization -- 3.3 Vector Quantization of Faces -- 3.4 Enhancing Facial Emphasis Within the Scene Context -- 3.5 Object Vector Quantization -- 3.6 Transformer-Scene Based -- 3.7 Pioneering Classifier-Free Transformer Guidance -- 4 Results -- 4.1 Dataset -- 4.2 Metrics -- 4.3 Previous Work Comparison -- 4.4 Experimental Setting with Result Analysis for Storytelling -- 5 Conclusion -- References -- Method for Design of Magnetic Field Active Silencing System Based on Robust Meta Model -- 1 Introduction. 1.1 Introduction to the Problem -- 1.2 Contribution -- 1.3 Paper Organization -- 2 Related Works -- 3 Exact Model Design -- 4 Robust Meta Model Design -- 5 Active Silencing Robust System Design -- 6 Games Solutions Calculation -- 7 Numerical Study -- 8 Experimental Study -- 9 Conclusions -- References -- Ontology Integration for Cultural Landscape Management Using ML and Assistive Artificial Intelligence -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Performance Evaluation and Results -- 5 Conclusion -- References -- Early Phase Detection of Bacterial Blight in Pomegranate Using GAN Versus Ensemble Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Comparison Table of Previous Existing Techniques and Methods -- 3 Methodology -- 3.1 Steps Involved -- 3.2 Cycle-GAN Generated Images of Different Classes -- 3.3 Ensemble Learning Model -- 4 Graphs -- 5 Results -- 6 Conclusion -- References -- Classification of Diseased Leaves in Plants Using Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Data Analysis -- 5 Results, Discussion, and Conclusion -- References -- Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Dataset -- 3.2 Experimental Setup -- 3.3 MobileNet-V3 -- 3.4 EfficientNetV2L -- 3.5 The Ensemble Model -- 3.6 Fast Marching Segmentation -- 4 Results and Discussions -- 4.1 MobileNetV3L -- 4.2 EfficientNetV2 -- 4.3 Ensemble Model -- 4.4 Segmentation -- 5 Conclusion -- References -- Spectrum and Energy of the Mobius Function Graph of Finite Cyclic Groups -- 1 Introduction -- 2 Preliminaries -- 3 Adjacency Spectrum of upper M left parenthesis normal upper G right parenthesis M(G). 4 Laplacian Spectrum of upper M left parenthesis normal upper G right parenthesis M(G) -- 5 Energy of upper M left parenthesis normal upper G right parenthesis M(G) and the Laplacian Energy of upper M left parenthesis normal upper G right parenthesis M(G) -- 6 Conclusion -- References -- Analysis of Multinomial Classification for Legal Document Categorization -- 1 Introduction -- 2 Dataset Preparation and Methodology -- 2.1 Dataset Preprocessing -- 2.2 Methodology -- 3 Discussions -- 4 Conclusion -- References -- Pioneering Image Analysis with Hybrid Convolutional Neural Networks and Generative Adversarial Networks for Enhanced Visual Perception -- 1 Introduction -- 1.1 Scope -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Problem Definition -- 3.2 Data Acquisition and Pre-processing -- 3.3 Hybrid Deep CNN Architecture -- 3.4 GAN Architecture -- 3.5 Hybrid Integration -- 3.6 Training -- 3.7 Evaluation -- 4 Result and Discussion -- 4.1 Accuracy -- 4.2 Loss -- 5 Conclusion -- References -- Enhancing Medical Decision Support Systems with the Two-Parameter Logistic Regression Model -- 1 Introduction -- 2 Methodology -- 3 Empirical Study -- 4 Conclusion -- 5 Future Research -- References -- BI-RADS Score Prediction Using AI for Breast Cancer Screening -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Collection of Mammograms -- 3.2 Data Pre-processing -- 3.3 Transforming DICOM -- 3.4 DICOM Annotation -- 3.5 Model Building -- 4 Results and Discussion -- 5 Conclusion -- References -- Modeling and Analysis of the Lead-Lag Network of Economic Indicators -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion and Limitations -- References -- Predictive Maintenance Model for Industrial Equipment -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Result and Discussion -- 5 Conclusion -- References. Taming the Complexity of Distributed Lag Models: A Practical Approach to Multicollinearity, Outliers, and Auto-Correlation in Finance -- 1 Introduction -- 2 Methodology -- 3 Empirical Application -- 4 Conclusions -- 5 Future Scope -- References -- Algorithm of Robust Control for Multi-stand Rolling Mill Strip Based on Stochastic Multi-swarm Multi-agent Optimization -- 1 Introduction -- 1.1 Introduction to the Problem -- 1.2 Contribution -- 1.3 The Organization of the Paper -- 2 Literature Review and Problem Statement -- 3 Design of an Exact Model of the Random Processes of the Longitudinal Variation in Strip Thickness -- 4 Design of a Robust Meta-Model of the Random Processes of the Longitudinal Variation in Strip Thickness -- 5 Model Description for Multi-stand Rolling Mill -- 6 Robust System Design -- 7 Calculation of Vector Games Solutions -- 8 Simulation Results -- 9 Conclusions -- References -- Emoji Sentiment Analysis of User Reviews on Online Applications Using Supervised Machine Learning -- 1 Introduction -- 2 Related Work -- 2.1 Inference from Literature Review -- 3 The Materials and the Method -- 3.1 Data Set -- 3.2 Data Preprocessing -- 3.3 Experimental Setup -- 3.4 Data Exploration and Analysis -- 3.5 Machine Learning Models for Data Classification -- 3.6 Performance Evaluation -- 4 Research Results and Discussions -- 5 Conclusion -- References -- An Enhanced Power Management and Prediction for Smart Grid Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Comfort Level Prediction -- 4 Proposed Algorithm -- 5 Simulation and Experimental Result -- 5.1 Simulation Analysis -- 6 Conclusion -- References -- Feature Reduction Set for the Prediction of Renal Disease Using Ensemble Methods and Optimal Hyperplane Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Data Pre-processing -- 4 Data Reduction. 5 Supervised and Ensemble Learning Approach. |
| Record Nr. | UNINA-9910865286903321 |
Shukla Samiksha
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Network Science In Education : Transformational Approaches in Teaching and Learning / / edited by Catherine B. Cramer, Mason A. Porter, Hiroki Sayama, Lori Sheetz, Stephen Miles Uzzo
| Network Science In Education : Transformational Approaches in Teaching and Learning / / edited by Catherine B. Cramer, Mason A. Porter, Hiroki Sayama, Lori Sheetz, Stephen Miles Uzzo |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (IX, 205 p. 49 illus., 40 illus. in color.) |
| Disciplina | 507.1 |
| Soggetto topico |
Science education
Physics Computational complexity Neural networks (Computer science) Computer organization Social structure Equality Science Education Applications of Graph Theory and Complex Networks Complexity Mathematical Models of Cognitive Processes and Neural Networks Computer Systems Organization and Communication Networks Social Structure, Social Inequality |
| ISBN | 3-319-77237-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Secondary Student Mentorship and Research in Complex Networks: opportunities and challenges -- Network Science PhD Program -- Network Science, Neuroimaging and the Effects of Music on the Brain: An interdisciplinary approach to introducing network science techniques to undergraduate and pre-college students in a public school community-based university partnership -- Discovering Complex Networks Through Project-Based Learning -- Network Visualization Literacy: Novel approaches to measurement and instruction -- The Project: NetSci in your pocket -- Comparison of Curricular Contents and Structures Across Network Science Courses -- Pay, Position, and Partnership: The relationship between salary and sharing in a district leadership team -- The Imaginary Board of Directors: A resource for introducing network theory and practice -- Building the Foundation of Network Science Education at the Undergraduate Level -- Network Science in K-16 Practice and Policy -- MovieGalaxies: Hands-on tools for effective learning. |
| Record Nr. | UNINA-9910299508203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science [[electronic resource] /] / edited by Naoki Masuda, Kwang-Il Goh, Tao Jia, Junichi Yamanoi, Hiroki Sayama
| Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science [[electronic resource] /] / edited by Naoki Masuda, Kwang-Il Goh, Tao Jia, Junichi Yamanoi, Hiroki Sayama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (X, 270 p. 81 illus., 70 illus. in color.) |
| Disciplina | 004.6 |
| Collana | Springer Proceedings in Complexity |
| Soggetto topico |
Statistical physics
Dynamical systems System theory Social sciences—Data processing Social sciences—Computer programs Computer mathematics Complex Systems Computational Social Sciences Computational Mathematics and Numerical Analysis |
| ISBN | 3-030-38965-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part1. Structure -- Chapter1. Latent space generative model for bipartite networks -- Chapter2. BiMLPA : Community Detection in Bipartite Networks by Multi-Label Propagation -- Chapter3. Connected graphs with a given degree sequence: E_cient sampling, correlations, community detection and robustness -- Chapter4. An Allometric Scaling for the Number of Representative Nodes in Social Networks -- Chapter5. NeXLink: Node Embedding Framework for Cross-Network Linkages across Social Networks -- Chapter6. Improved algorithm for neuronal ensemble inference by Monte Carlo method -- Chapter7. Testing for Network and Spatial Autocorrelation -- Part2. Dynamics -- Chapter8. Approximate Identification of the Optimal Epidemic Source in Complex Networks -- Chapter9. Maxwell's Demon: Controlling Entropy via Discrete Ricci Flow over Networks -- Chapter10. Two dimensional opinion dynamics of real opinion and official stance -- Chapter11. On the Fundamental Equation of User Dynamics and the Structure of Online Social Networks -- Chapter12. Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity -- Part3. -- Chapter13. Complex Networks Antifragility under Sustained Edge Attack-Repair Mechanisms -- Chapter14. How to collect private signals in information cascade : an empirical study -- Chapter15. Space geometry effect over the Internet as a physical-logical interdependent network -- Part4. -- Chapter16. The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection -- Chapter17. Effective Implementation of Energy Aware Polarization Diversity for IoT Networks Using Eigenvector Centrality -- Chapter18. Using network science to quantify economic disruptions in regional input-output networks. |
| Record Nr. | UNISA-996418166303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science / / edited by Naoki Masuda, Kwang-Il Goh, Tao Jia, Junichi Yamanoi, Hiroki Sayama
| Proceedings of NetSci-X 2020: Sixth International Winter School and Conference on Network Science / / edited by Naoki Masuda, Kwang-Il Goh, Tao Jia, Junichi Yamanoi, Hiroki Sayama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (X, 270 p. 81 illus., 70 illus. in color.) |
| Disciplina | 004.6 |
| Collana | Springer Proceedings in Complexity |
| Soggetto topico |
Statistical physics
Dynamical systems System theory Social sciences—Data processing Social sciences—Computer programs Computer mathematics Complex Systems Computational Social Sciences Computational Mathematics and Numerical Analysis |
| ISBN | 3-030-38965-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part1. Structure -- Chapter1. Latent space generative model for bipartite networks -- Chapter2. BiMLPA : Community Detection in Bipartite Networks by Multi-Label Propagation -- Chapter3. Connected graphs with a given degree sequence: E_cient sampling, correlations, community detection and robustness -- Chapter4. An Allometric Scaling for the Number of Representative Nodes in Social Networks -- Chapter5. NeXLink: Node Embedding Framework for Cross-Network Linkages across Social Networks -- Chapter6. Improved algorithm for neuronal ensemble inference by Monte Carlo method -- Chapter7. Testing for Network and Spatial Autocorrelation -- Part2. Dynamics -- Chapter8. Approximate Identification of the Optimal Epidemic Source in Complex Networks -- Chapter9. Maxwell's Demon: Controlling Entropy via Discrete Ricci Flow over Networks -- Chapter10. Two dimensional opinion dynamics of real opinion and official stance -- Chapter11. On the Fundamental Equation of User Dynamics and the Structure of Online Social Networks -- Chapter12. Beyond Social Fragmentation: Coexistence of Cultural Diversity and Structural Connectivity Is Possible with Social Constituent Diversity -- Part3. -- Chapter13. Complex Networks Antifragility under Sustained Edge Attack-Repair Mechanisms -- Chapter14. How to collect private signals in information cascade : an empirical study -- Chapter15. Space geometry effect over the Internet as a physical-logical interdependent network -- Part4. -- Chapter16. The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection -- Chapter17. Effective Implementation of Energy Aware Polarization Diversity for IoT Networks Using Eigenvector Centrality -- Chapter18. Using network science to quantify economic disruptions in regional input-output networks. |
| Record Nr. | UNINA-9910373957603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Swarm Intelligence [[electronic resource] ] : 7th International Conference, ANTS 2010, Brussels, Belgium,September 8-10, 2010 Proceedings / / edited by Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Gross, Erol Sahin, Thomas Stützle, Hiroki Sayama
| Swarm Intelligence [[electronic resource] ] : 7th International Conference, ANTS 2010, Brussels, Belgium,September 8-10, 2010 Proceedings / / edited by Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Gross, Erol Sahin, Thomas Stützle, Hiroki Sayama |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XVIII, 582 p. 190 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Algorithms Computer science Computer networks Application software Numerical analysis Artificial Intelligence Theory of Computation Computer Communication Networks Computer and Information Systems Applications Numerical Analysis |
| ISBN |
1-280-38864-1
9786613566560 3-642-15461-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Graph-Based Developmental Swarm Representation and Algorithm -- A Graph-Based Developmental Swarm Representation and Algorithm -- A Modified Particle Swarm Optimization Algorithm for the Best Low Multilinear Rank Approximation of Higher-Order Tensors -- A Robotic Validation of the Attractive Field Model: An Inter-disciplinary Model of Self-regulatory Social Systems -- A Thermodynamic Approach to the Analysis of Multi-robot Cooperative Localization under Independent Errors -- An Alternative ACO Algorithm for Continuous Optimization Problems -- An Efficient Optimization Method for Revealing Local Optima of Projection Pursuit Indices -- Ant Colony Optimisation for Ligand Docking -- Antbots: A Feasible Visual Emulation of Pheromone Trails for Swarm Robots -- Automatic Configuration of Multi-Objective ACO Algorithms -- Autonomous Morphogenesis in Self-assembling Robots Using IR-Based Sensing and Local Communications -- Autonomous Multi-agent Cycle Based Patrolling -- Biologically Realistic Primitives for Engineered Morphogenesis -- Evaluating the Robustness of Activator-Inhibitor Models for Cluster Head Computation -- Evolution of Self-organised Path Formation in a Swarm of Robots -- Extensions to the Ant-Miner Classification Rule Discovery Algorithm -- Functional Blueprints: An Approach to Modularity in Grown Systems -- Heterogeneous Particle Swarm Optimization -- Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters -- Multi-agent Deployment on a Ring Graph -- Multi-Swarm Optimization for Dynamic Combinatorial Problems: A Case Study on Dynamic Vehicle Routing Problem -- Off-line vs. On-line Tuning: A Study on Ant System for the TSP -- Opinion Dynamics for Decentralized Decision-Making in a Robot Swarm -- Positional Communication and Private Information in Honeybee Foraging Models -- Rank Based Particle Swarm Optimization -- Self-organized Task Partitioning in a Swarm of Robots -- Slime Mold Inspired Path Formation Protocol for Wireless Sensor Networks -- Solving the Multi-dimensional Multi-choice Knapsack Problem with the Help of Ants -- Theoretical Properties of Two ACO Approaches for the Traveling Salesman Problem -- Short Papers -- A Cooperative Network Game Efficiently Solved via an Ant Colony Optimization Approach -- A Deterministic Metaheuristic Approach Using “Logistic Ants” for Combinatorial Optimization -- A Model Based Ant Colony Design for the Protein Engineering Problem -- ACOPHY: A Simple and General Ant Colony Optimization Approach for Phylogenetic Tree Reconstruction -- ACS Searching for D 4t -Hadamard Matrices -- Ant Based Semi-supervised Classification -- Automatic Generation of Optimised Working Time Models in Personnel Planning -- Bee-Sensor: A Step Towards Meta-Routing Strategies in Hybrid Ad Hoc Networks -- Cooperation in a Heterogeneous Robot Swarm through Spatially Targeted Communication -- Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots: An Applicative Scenario -- EDA-PSO: A Hybrid Paradigm Combining Estimation of Distribution Algorithms and Particle Swarm Optimization -- Emergent Flocking with Low-End Swarm Robots -- Exploiting Loose Horizontal Coupling in Evolutionary Swarm Robotics -- Formal Verification of Probabilistic Swarm Behaviours -- Inverse Modeling in Geoenvironmental Engineering Using a Novel Particle Swarm Optimization Algorithm -- Mobile Stigmergic Markers for Navigation in a Heterogeneous Robotic Swarm -- Motif Finding Using Ant Colony Optimization -- Multiple Ant Colony System for Substructure Discovery -- Opportunistic Ant-Based Path Management for Wireless Mesh Networks -- Parallel Ant Colony Optimization Algorithm on a Multi-core Processor -- Particle Swarm Optimization in High Dimensional Spaces -- Particle Swarm Optimization of Bollinger Bands -- Protein Structure Prediction in Lattice Models with Particle Swarm Optimization -- Short and Robust Communication Paths in Dynamic Wireless Networks -- The ACO Encoding -- The Complexity of Grid Coverage by Swarm Robotics -- The Design of an Active Structural Vibration Reduction System Using a Modified Particle Swarm Optimization -- Extended Abstracts -- Ant Colony Extended: Search in Solution Spaces with a Countably Infinite Number of Solutions -- Automatic Parameter Configuration of Particle Swarm Optimization by Classification of Function Features -- Constructing Low-Cost Swarm Robots That March in Column Formation -- Coordinating Heterogeneous Swarms through Minimal Communication among Homogeneous Sub-swarms -- Effect of Particle Initialization on the Performance of Particle Swarm Niching Algorithms -- Energy Efficient Swarm Deployment for Search in Unknown Environments -- Genetic Encoding of Robot Metamorphosis: How to Evolve a Glider with a Genetic Regulatory Network -- How Ant Systems Can Help in Management of pH for Industrial Wastewater Discharges -- Hybrid Metaheuristic Combining Ant Colony Optimization and H-Method -- Increasing Individual Density Reduces Extra-Variance in Swarm Intelligence -- “Look out!”: Socially-Mediated Obstacle Avoidance in Collective Transport -- On Possible Connections between Ant Algorithms and Random Matrix Theory -- Soft Variable Fixing in Path Relinking: An Application to ACO Codes -- Training Randomly Connected, Recurrent Artificial Neural Networks Using PSO. |
| Record Nr. | UNISA-996465710803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||