%{search_type} search results

• The First Section: Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems.- Stabilization of a Class of Networked Control Systems with Random Packet Loss.- Improved Nonlinear PCA Based on RBF Networks and Principal Curves.- Application of Partical Swarm Optimization Algorithm in Field Holo-Balancing.- Analyzing Deformation of Supply Chain Resilient System Based on Cell Resilience Model.- Multi-objective Particle Swarm Optimization Control Technology and Its Application in Batch Processes.- Online Monitoring of Catalyst Activity for Synthesis of Bisphenol A.- An Improved Pyramid Matching Kernel.- Stability Analysis of Multi-channel MIMO Networked Control Systems.- Synthesis of PI-type Congestion Controller for AQM Router in TCP/AQM Network.- A State Identification Method of Networked Control Systems.- Stabilization Criterion Based on New Lyapunov Functional Candidate for Networked Control Systems.- Development of Constant Current Source for SMA Wires Driver Based on OPA549.- High Impedance Fault Location in Transmission Line Using Nonlinear Frequency Analysis.- Batch-to-Batch Iterative Optimal Control of Batch Processes Based on Dynamic Quadratic Criterion.- Management Information System (MIS) for Planning and Implementation Assessment (PIA) in Lake Dianchi.- Integration Infrastructure in Wireless/Wired Heterogeneous Industrial Network System.- Multi-innovation Generalized Extended Stochastic Gradient Algorithm for Multi-Input Multi-Output Nonlinear Box-Jenkins Systems Based on the Auxiliary Model.- Research of Parallel-Type Double Inverted Pendulum Model Based on Lagrange Equation and LQR Controller.- A Consensus Protocol for Multi-agent Systems with Double Integrator Model.- A Production-Collaboration Model for Manufacturing Grid.- The Second Section: Autonomy-Oriented Computing and Intelligent Agents.- Parallel Computation for Stereovision Obstacle Detection of Autonomous Vehicles Using GPU.- Framework Designing of BOA for the Development of Enterprise Management Information System.- Training Support Vector Data Descriptors Using Converging Linear Particle Swarm Optimization.- Research on Modeling and Simulation of an Adaptive Combat Agent Infrastructure for Network Centric Warfare.- Genetic Algorithm-Based Support Vector Classification Method for Multi-spectral Remote Sensing Image.- Grids-Based Data Parallel Computing for Learning Optimization in a Networked Learning Control Systems.- A New Distributed Intrusion Detection Method Based on Immune Mobile Agent.- Single-Machine Scheduling Problems with Two Agents Competing for Makespan.- Multi-Agent Asynchronous Negotiation Based on Time-Delay.- The Third Section: Advanced Theory and Methodology in Fuzzy Systems and Soft Computing.- Fuzzy Chance Constrained Support Vector Machine.- An Automatic Thresholding for Crack Segmentation Based on Convex Residual.- A Combined Iteration Method for Probabilistic Load Flow Calculation Applied to Grid-Connected Induction Wind Power System.- Associated-Conflict Analysis Using Covering Based on Granular Computing.- Inspection of Surface Defects in Copper Strip Based on Machine Vision.- BIBO Stability of Spatial-temporal Fuzzy Control System.- An Incremental Manifold Learning Algorithm Based on the Small World Model.- Crack Image Enhancement of Track Beam Surface Based on Nonsubsampled Contourlet Transform.- The Class-2 Linguistic Dynamic Trajectories of the Interval Type-2 Fuzzy Sets.- The Fourth Section: Computational Intelligence in Utilization of Clean and Renewable Energy Resources.- Strategic Evaluation of Research and Development into Embedded Energy Storage in Wind Power Generation.- A Mixed-Integer Linear Optimization Model for Local Energy System Planning Based on Simplex and Branch-and-Bound Algorithms.- IEC 61400-25 Protocol Based Monitoring and Control Protocol for Tidal Current Power Plant.- Adaptive Maximum Power Point Tracking Algorithm for Variable Speed Wind Power Systems.- Modeling and Simulation of Two-Leaf Semi-rotary VAWT.- The Fifth Section: Intelligent Modeling, Control and Supervision for Energy Saving and Pollution Reduction.- Identification of Chiller Model in HVAC System Using Fuzzy Inference Rules with Zadeh's Implication Operator.- An Improved Control Strategy for Ball Mill Grinding Circuits.- Sliding Mode Controller for Switching Mode Power Supply.- The Sixth Section: Intelligent Methods in Developing Vehicles, Engines and Equipments.- Expression of Design Problem by Design Space Model to Support Collaborative Design in Basic Plan of Architectural Design.- Drive Cycle Analysis of the Performance of Hybrid Electric Vehicles.- The Seventh Section: Computational Methods and Intelligence in Modeling Genetic and Biochemical Networks and Regulation.- Supply Chain Network Equilibrium with Profit Sharing Contract Responding to Emergencies.- Modeling of the Human Bronchial Tree and Simulation of Internal Airflow: A Review.- Robust Semi-supervised Learning for Biometrics.- Research on Virtual Assembly of Supercritical Boiler.- Validation of Veracity on Simulating the Indoor Temperature in PCM Light Weight Building by EnergyPlus.- Positive Periodic Solutions of Nonautonomous Lotka-Volterra Dispersal System with Delays.- An Algorithm of Sphere-Structure Support Vector Machine Multi-classification Recognition on the Basis of Weighted Relative Distances.
• (source: Nielsen Book Data)

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.
(source: Nielsen Book Data)

• section 1. Advanced evolutionary computing theory and algorithms
• section 2. Advanced neural network and fuzzy system theory and algorithms
• section 3. Modeling and simulation of societies and collective behaviour
• section 4. Biomedical signal processing, imaging, and visualization
• section 5. Intelligent computing and control in distributed power generation systems
• section 6. Intelligent methods in power and energy infrastructure development
• section 7. Intelligent modeling, monitoring, and control of complex nonlinear systems.

Annotation This book is part II of a two-volume work that contains the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2010 and the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, held in Wuxi, China, in September 2010. The 194 revised full papers presented were carefully reviewed and selected from over 880 submissions and recommended for publication by Springer in two volumes of Lecture Notes in Computer Science (LNCS) and one volume of Lecture Notes in Bioinformatics (LNBI). This particular volume of Lecture Notes in Computer Science (LNCS) includes 55 papers covering 7 relevant topics. The 56 papers in this volume are organized in topical sections on advanced evolutionary computing theory and algorithms; advanced neural network and fuzzy system theory and algorithms; modeling and simulation of societies and collective behavior; biomedical signal processing, imaging, and visualization; intelligent computing and control in distributed power generation systems; intelligent methods in power and energy infrastructure development; intelligent modeling, monitoring, and control of complex nonlinear systems.

• Oral Contributions. Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases / Delaney Granizo-Mackenzie, Jason H. Moore
• Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments / Jie Tan, Gavin D. Grant, Michael L. Whitfield, Casey S. Greene
• Inferring Human Phenotype Networks from Genome-Wide Genetic Associations / Christian Darabos, Kinjal Desai, Richard Cowper-Sal·lari, Mario Giacobini
• Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests / R. Michael Sivley, Alexandra E. Fish, William S. Bush
• Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach / Soha Ahmed, Mengjie Zhang, Lifeng Peng
• Structured Populations and the Maintenance of Sex / Peter A. Whigham, Grant Dick, Alden Wright, Hamish G. Spencer
• Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding / David L. González-Álvarez, Miguel A. Vega-Rodríguez
• ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins / Khalid M. Salama, Alex A. Freitas
• Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification / Carlotta Orsenigo, Carlo Vercellis
• Supervising Random Forest Using Attribute Interaction Networks / Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas.

• Poster Contributions. Hybrid Genetic Algorithms for Stress Recognition in Reading / Nandita Sharma, Tom Gedeon
• Optimal Use of Biological Expert Knowledge from Literature Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease / Arvis Sulovari, Jeff Kiralis, Jason H. Moore
• A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies / Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez
• Mining for Variability in the Coagulation Pathway: A Systems Biology Approach / Davide Castaldi, Daniele Maccagnola, Daniela Mari, Francesco Archetti
• Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions / Timmy Manning, Paul Walsh
• An Evolutionary Approach to Wetlands Design / Marco Gaudesi, Andrea Marion, Tommaso Musner, Giovanni Squillero, Alberto Tonda
• Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application / Susanne Rosenthal, Nail El-Sourani, Markus Borschbach
• Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction / Jonathan M. Fisher, Peter Andrews, Jeff Kiralis, Nicholas A. Sinnott-Armstrong
• Emergence of Motifs in Model Gene Regulatory Networks / Marcin Zagórski.

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 4th International Conference on Algebraic Biology, ANB 2010, held at the Castle of Hagenberg, Austria in July/August 2010. The conference is a follow up of the AB Conference. The 10 papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mathematical modeling, system analysis and design, genomics, molecular structure analysis, automata theory, artificial intelligence, sequence analysis, automated reasoning, formal language and hybrid symbolic numerical methods.

• Automatic Task Decomposition for the NeuroEvolution of Augmenting Topologies (NEAT) Algorithm / Timmy Manning and Paul Walsh
• Evolutionary Reaction Systems / Luca Manzoni, Mauro Castelli and Leonardo Vanneschi
• Optimizing the Edge Weights in Optimal Assignment Methods for Virtual Screening with Particle Swarm Optimization / Lars Rosenbaum, Andreas Jahn and Andreas Zell
• Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm / Christian Darabos, Mario Giacobini, Ting Hu and Jason H. Moore
• Understanding Zooplankton Long Term Variability through Genetic Programming / Simone Marini and Alessandra Conversi
• Inferring Disease-Related Metabolite Dependencies with a Bayesian Optimization Algorithm / Holger Franken, Alexander Seitz, Rainer Lehmann, Hans-Ulrich Häring and Norbert Stefan, et al.
• A GPU-Based Multi-swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series / Marco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri and Dario Pescini
• Tracking the Evolution of Cooperation in Complex Networked Populations / Flávio L. Pinheiro, Francisco C. Santos and Jorge M. Pacheco
• GeNet: A Graph-Based Genetic Programming Framework for the Reverse Engineering of Gene Regulatory Networks / Leonardo Vanneschi, Matteo Mondini, Martino Bertoni, Alberto Ronchi and Mattia Stefano
• Comparing Multiobjective Artificial Bee Colony Adaptations for Discovering DNA Motifs / David L. González-Álvarez, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez
• The Role of Mutations in Whole Genome Duplication / Qinxin Pan, Christian Darabos and Jason H. Moore
• Comparison of Methods for Meta-dimensional Data Analysis Using in Silico and Biological Data Sets / Emily R. Holzinger, Scott M. Dudek, Alex T. Frase, Brooke Fridley and Prabhakar Chalise, et al.

• Inferring Phylogenetic Trees Using a Multiobjective Artificial Bee Colony Algorithm / Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido and Juan M. Sánchez-Pérez
• Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly / Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez-Chamorro, Roberto Ruiz and Cosme E. Santiesteban-Toca
• Feature Selection for Lung Cancer Detection Using SVM Based Recursive Feature Elimination Method / Kesav Kancherla and Srinivas Mukkamala
• Measuring Gene Expression Noise in Early Drosophila Embryos: The Highly Dynamic Compartmentalized Micro-environment of the Blastoderm Is One of the Main Sources of Noise / Alexander V. Spirov, Nina E. Golyandina, David M. Holloway, Theodore Alexandrov and Ekaterina N. Spirova, et al.
• Artificial Immune Systems Perform Valuable Work When Detecting Epistasis in Human Genetic Datasets / Delaney Granizo-Mackenzie and Jason H. Moore
• A Biologically Informed Method for Detecting Associations with Rare Variants / Carrie C. Buchanan, John R. Wallace, Alex T. Frase, Eric S. Torstenson and Sarah A. Pendergrass, et al.
• Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners / Clara Pizzuti, Simona E. Rombo and Elena Marchiori
• Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor / Cosme E. Santiesteban-Toca, Gualberto Asencio-Cortés, Alfonso E. Márquez-Chamorro and Jesús S. Aguilar-Ruiz
• A NSGA-II Algorithm for the Residue-Residue Contact Prediction / Alfonso E. Márquez-Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit and Gualberto Asencio-Cortés, et al.
• In Silico Infection of the Human Genome / W.B. Langdon and M.J. Arno
• Improving Phylogenetic Tree Interpretability by Means of Evolutionary Algorithms / Francesco Cerutti, Luigi Bertolotti, Tony L. Goldberg and Mario Giacobini.

This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

This book constitutes the refereed proceedings of the Third International Conference on Algebraic Biology, AB 2008, held at the Castle of Hagenberg, Austria in July 2008 as part of the RISC Summer 2008, organized by the Research Institute for Symbolic Computation. The 14 revised full papers presented together with 3 tutorial lectures were carefully reviewed and selected from 27 submissions. The conference is the interdisciplinary forum for the presentation of research on all aspects of applications of symbolic computation (computer algebra, computational logic, and related methods) to various issues in biology and life sciences as well as other problems in biology being approached with symbolic methods.
(source: Nielsen Book Data)

• Algebraic Systems Biology: Theses and Hypotheses.- Discrete Models of Biochemical Networks: The Toric Variety of Nested Canalyzing Functions.- Membrane Computing as a Framework for Bio-modeling (An Informal Glimpse).- Relating Attractors and Singular Steady States in the Logical Analysis of Bioregulatory Networks.- Translating Time-Course Gene Expression Profiles into Semi-algebraic Hybrid Automata Via Dimensionality Reduction.- On Proving the Absence of Oscillations in Models of Genetic Circuits.- Attenuation Regulation as a Term Rewriting System.- Glucose-Insulin Control of Type1 Diabetic Patients in H2/H??? Space Via Computer Algebra.- Exact Parameter Determination for Parkinson's Disease Diagnosis with PET Using an Algebraic Approach.- Efficient Haplotype Inference with Pseudo-boolean Optimization.- An Algebraic Algorithm for the Identification of Glass Networks with Periodic Orbits Along Cyclic Attractors.- Analyzing Pathways Using SAT-Based Approaches.- Algorithmic Algebraic Model Checking IV: Characterization of Metabolic Networks.- Cascaded Games.- On Differential Algebraic Decision Methods for the Estimation of Anaerobic Digestion Models.- Protein Structure Prediction Using Residual Dipolar Couplings.- A Stochastic Pi Calculus for Concurrent Objects.- Modeling Static Biological Compartments with Beta-binders.- Deducing Interactions in Partially Unspecified Biological Systems.- Reduction of Algebraic Parametric Systems by Rectification of Their Affine Expanded Lie Symmetries.- Prefix Reversals on Binary and Ternary Strings.- Toric Ideals of Phylogenetic Invariants for the General Group-Based Model on Claw Trees K 1, n
• Inference of Protein-Protein Interactions by Using Co-evolutionary Information.- A Short Survey of Automated Reasoning.- Inference of Complex Regulatory Network for the Cell Cycle System in Saccharomyces Cerevisiae.- Manifestation and Exploitation of Invariants in Bioinformatics.
• (source: Nielsen Book Data)

This volume constitutes the refereed proceedings of the Second International Conference on Algebraic Biology. The conference served as an interdisciplinary forum for the presentation of research on all aspects of the application of symbolic computation in biology, including computer algebra, computational logic, and related methods. Papers also examine solutions to problems in biology using symbolic methods.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2011, held in Torino, Italy, in April 2011 co-located with the Evo 2011 events. The 12 revised full papers presented together with 7 poster papers were carefully reviewed and selected from numerous submissions. All papers included topics of interest such as biomarker discovery, cell simulation and modeling, ecological modeling, fluxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, and systems biology.
(source: Nielsen Book Data)

• Algebraic Systems Biology: Theses and Hypotheses.- Discrete Models of Biochemical Networks: The Toric Variety of Nested Canalyzing Functions.- Membrane Computing as a Framework for Bio-modeling (An Informal Glimpse).- Relating Attractors and Singular Steady States in the Logical Analysis of Bioregulatory Networks.- Translating Time-Course Gene Expression Profiles into Semi-algebraic Hybrid Automata Via Dimensionality Reduction.- On Proving the Absence of Oscillations in Models of Genetic Circuits.- Attenuation Regulation as a Term Rewriting System.- Glucose-Insulin Control of Type1 Diabetic Patients in H2/H??? Space Via Computer Algebra.- Exact Parameter Determination for Parkinson's Disease Diagnosis with PET Using an Algebraic Approach.- Efficient Haplotype Inference with Pseudo-boolean Optimization.- An Algebraic Algorithm for the Identification of Glass Networks with Periodic Orbits Along Cyclic Attractors.- Analyzing Pathways Using SAT-Based Approaches.- Algorithmic Algebraic Model Checking IV: Characterization of Metabolic Networks.- Cascaded Games.- On Differential Algebraic Decision Methods for the Estimation of Anaerobic Digestion Models.- Protein Structure Prediction Using Residual Dipolar Couplings.- A Stochastic Pi Calculus for Concurrent Objects.- Modeling Static Biological Compartments with Beta-binders.- Deducing Interactions in Partially Unspecified Biological Systems.- Reduction of Algebraic Parametric Systems by Rectification of Their Affine Expanded Lie Symmetries.- Prefix Reversals on Binary and Ternary Strings.- Toric Ideals of Phylogenetic Invariants for the General Group-Based Model on Claw Trees K 1, n
• Inference of Protein-Protein Interactions by Using Co-evolutionary Information.- A Short Survey of Automated Reasoning.- Inference of Complex Regulatory Network for the Cell Cycle System in Saccharomyces Cerevisiae.- Manifestation and Exploitation of Invariants in Bioinformatics.
• (source: Nielsen Book Data)

This volume constitutes the refereed proceedings of the Second International Conference on Algebraic Biology. The conference served as an interdisciplinary forum for the presentation of research on all aspects of the application of symbolic computation in biology, including computer algebra, computational logic, and related methods. Papers also examine solutions to problems in biology using symbolic methods.
(source: Nielsen Book Data)

• Variable Genetic Operator Search for the Molecular Docking Problem.- Variable Genetic Operator Search for the Molecular Docking Problem.- Role of Centrality in Network-Based Prioritization of Disease Genes.- Parallel Multi-Objective Approaches for Inferring Phylogenies.- An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction.- Finding Gapped Motifs by a Novel Evolutionary Algorithm.- Top-Down Induction of Phylogenetic Trees.- A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships.- Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci.- Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions.- Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques.- Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data.- A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination.- A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins.- Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments.- Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models.- Posters.- The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics.- Artificial Immune Systems for Epistasis Analysis in Human Genetics.- Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models.- Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study.- Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes.- Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees.
• (source: Nielsen Book Data)

The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences datainordertounravelthemysteriesofbiologicalfunction, leadingtonewdrugs andtherapiesforhumandisease. Life sciencesdatacomeinthe formofbiological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c information in a given dataset in order to generate new interesting knowledge. Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 8th - ropean Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBIO 2010) was to bring together experts in these ?elds in order to discuss new and novel methods for tackling complex biological problems. The 8th EvoBIO conference was held in Istanbul, Turkey during April 7-9, 2010attheIstanbulTechnicalUniversity. EvoBIO2010washeldjointlywiththe 13th European Conference on Genetic Programming (EuroGP 2010), the 10th European Conference on Evolutionary Computation in Combinatorial Opti- sation (EvoCOP 2010), and the conference on the applications of evolutionary computation, EvoApplications. Collectively, the conferences areorganizedunder the name Evo* (www. evostar. org). EvoBIO, held annually as a workshop since 2003, became a conference in 2007 and it is now the premiere European event for those interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology.
(source: Nielsen Book Data)

• The First Section: Biomedical Signal Processing, Speech, Imaging and Visualization.- MMSVC: An Efficient Unsupervised Learning Approach for Large-Scale Datasets.- CUDA Based High Performance Adaptive 3D Voxel Growing for Lung CT Segmentation.- Wavelet Packet-Based Feature Extraction for Brain-Computer Interfaces.- Keynote Address: The 3D Imaging Service at Massachusetts General Hospital: 11 Years Experience.- A Novel Localization System Based on Infrared Vision for Outdoor Mobile Robot.- Analytical Solution for the Forward Problem of Magnetic Induction Tomography with Multi-layer Sphere Model.- Total Variation Regularization in Electrocardiographic Mapping.- The Time-Frequency Analysis of Abnormal ECG Signals.- Dynamic Spectrum and BP Neural Network for Non-invasive Hemoglobin Measurement.- Study on Real-Time Control of Exoskeleton Knee Using Electromyographic Signal.- Characterization of Cerebral Infarction in Multiple Channel EEG Recordings Based on Quantifications of Time-Frequency Representation.- Research on a Novel Medical Image Non-rigid Registration Method Based on Improved SIFT Algorithm.- Automatic and Reliable Extraction of Dendrite Backbone from Optical Microscopy Images.- Magnetic Induction Tomography: Simulation Study on the Forward Problem.- Diagnosis of Liver Diseases from P31 MRS Data Based on Feature Selection Using Genetic Algorithm.- Research of Acupuncturing Based on Hilbert-Huang Transform.- A New Microphone Array Speech Enhancement Method Based on AR Model.- A Forecast of RBF Neural Networks on Electrical Signals in Senecio Cruentus.- Classification of Malignant Lymphomas by Classifier Ensemble with Multiple Texture Features.- Denoising of Event-Related Potential Signal Based on Wavelet Method.- The Second Section: Biological and Biomedical Data Integration, Mining and Visualization.- Predict Molecular Interaction Network of Norway Rats Using Data Integration.- The Study of Rats' Active Avoidance Behavior by the Cluster Analysis.- MS Based Nonlinear Methods for Gastric Cancer Early Detection.- The SEM Statistical Mixture Model of Segmentation Algorithm of Brain Vessel Image.- Classification and Diagnosis of Syndromes in Chinese Medicine in the Context of Coronary Heart Disease Model Based on Data Mining Methods.- An Image Reconstruction Method for Magnetic Induction Tomography: Improved Genetic Algorithm.- The Segmentation of the Body of Tongue Based on the Improved Level Set in TCM.- Transcutaneous Coupling Implantable Stimulator.- Simulation Analysis on Stimulation Modes of Three-Dimension Electrical Impedance Tomography.- Researches on Spatio-temporal Expressions of Intestinal Pressure Activity Acquired by the Capsule Robot.- Analysis of Chlorophyll Concentration during the Phytoplankton Spring Bloom in the Yellow Sea Based on the MODIS Data.- A Novel Association Rule Mining Based on Immune Computational Intelligence.- The Third Section: Computational Intelligence in Bioinformatics and Biometrics.- Face Recognition via Two Dimensional Locality Preserving Projection in Frequency Domain.- Prediction of Protein-Protein Interactions Using Subcellular and Functional Localizations.- Nucleosomes Are Well Positioned at Both Ends of Exons.- An Evaluation of DNA Barcoding Using Genetic Programming-Based Process.- Auto-Creation and Navigation of the Multi-area Topological Map for 3D Large-Scale Environment.- Relation of Infarct Location and Size to Extent of Infarct Expansion After Acute Myocardial Infarction: A Quantitative Study Based on a Canine Model.- Artificial Intelligence Based Optimization of Fermentation Medium for ?-Glucosidase Production from Newly Isolated Strain Tolypocladium Cylindrosporum.- The Human Computer Interaction Technology Based on Virtual Scene.- ICA-Based Automatic Classification of Magnetic Resonance Images from ADNI Data.- Label Propagation Algorithm Based on Non-negative Sparse Representation.- Multiple Sequence Alignment by Improved Hidden Markov Model Training and Quantum-Behaved Particle Swarm Optimization.- Breast Cancer Diagnosis Using WNN Based on GA.- Lattice-Based Artificial Endocrine System.- Direct Sparse Nearest Feature Classifier for Face Recognition.- The Fourth Section: Computational Methods and Intelligence in Modeling Molecular, Cellular and Multi-cellular behavior and Dynamics.- A Mathematical Model of Myelodysplastic Syndromes: The Effect of Stem Cell Niches.- Ion Channel Modeling and Simulation Using Hybrid Functional Petri Net.- Computer Simulation on the Compaction of Chromatin Fiber Induced by Salt.- Electrical Remolding and Mechanical Changes in Heart Failure: A Model Study.- Modeling Conformation of Protein Loops by Bayesian Network.- The Fifth Section: Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems.- Towards Constraint Optimal Control of Greenhouse Climate.- A Kernel Spatial Complexity-Based Nonlinear Unmixing Method of Hyperspectral Imagery.- Study on Machine Vision Fuzzy Recognition Based on Matching Degree of Multi-characteristics.- Application and Numerical Simulation on Water Mist Cooling for Urban Environment Regulation.- Optimal Guaranteed Cost Control for Linear Uncertain System with Pole and H? Index Constraint.- Statistical Modelling of Glutamate Fermentation Process Based on GAMs.- The Application of Support Vector Regression in the Dual-Axis Tilt Sensor Modeling.- Implementing Eco-Friendly Reservoir Operation by Using Genetic Algorithm with Dynamic Mutation Operator.- The Sixth Section: Intelligent Medical Apparatus and Clinical Applications.- Research on the Biocompatibility of the Human Rectum and a Novel Artificial Anal Sphincter.- A Medical Tracking System for Contrast Media.- Rapid Planning Method for Robot Assited Minimally Invasive Surgery.- The Seventh Section: Modeling and Simulation of Societies and Collective Behavior.- Autonomic Behaviors of Swarm Robots Driven by Emotion and Curiosity.- Modelling and Simulating Dynamic Evolvement of Collective Learning Behaviors by Voronoi Diagram.- Study of the Airway Resistance of a Micro Robot System for Direct Tracheal Inspection.- Numerical Simulation of the Nutrient and Phytoplankton Dynamics in the Bohai Sea.- Personalized Reconstruction of 3D Face Based on Different Race.- Lake Eutrophication Evaluation and Diagnosis Based on Bayesian Method and SD Model.- The Eighth Section: Brain Stimulation, Neural Dynamics and Neural Interfacing.- Respiration Simulation of Human Upper Airway for Analysis of Obstructive Sleep Apnea Syndrome.- Optimization for Nonlinear Time Series and Forecast for Sleep.- Classifying EEG Using Incremental Support Vector Machine in BCIs.- Acute Isolation of Neurons Suitable for Patch-Clamping Study from Frontal Cortex of Mice.- Palmprint Identification Using PCA Algorithm and Hierarchical Neural Network.- Image Fusion Using Self-constraint Pulse-coupled Neural Network.- Segmentation for SAR Image Based on a New Spectral Clustering Algorithm.- The Ninth Section: Intelligent Construction and Energy Saving Techniques for Sustainable and Green Built Environment.- Satellite-Retrieved Surface Chlorophyll Concentration Variation Based on Statistical Methods in the Bohai Sea.- A Study on the Cooling Effects of Greenery on the Surrounding Areas by Computer Simulation for Green Built Environment.- Spatial-temporal Variation of Chlorophyll-a Concentration in the Bohai Sea.- Effect of the Twirling Frequency on Firing Patterns Evoked by Acupuncture.- The Tenth Section: Intelligent Water Treatment and Waste Management Technologies.- Comparison of Two Models for Calculating Water Environment Capacity of Songhua River.- Growth Characteristics and Fermentation Kinetics of Flocculants-Producing Bacterium F2.- Research on Enrichment for Anammox Bacteria Inoculated via Enhanced Endogenous Denitrification.- Evaluation of Geological Disaster with Extenics Based on Entropy Method*.
• (source: Nielsen Book Data)

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.
(source: Nielsen Book Data)