Search Results - estimating algorithm computational complexity

Advances in Dependability Engineering of Complex Systems Proceedings of the Twelfth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, July 2 - 6, 2017,...

Table of Contents: “…1.Detection of network attacks using hybrid ARIMA-GARCH model- 2.Towards mixed-mode risk management - a concept; Andrzej Bialas and Barbara Flisiuk -- 3.Software support of the Common Criteria vulnerability assessment -- 4.On the performance of some C# constructions -- 5.Deep Stacking Convex Neuro-Fuzzy System and its On-line Learning -- 6.Fault tolerant ASIC/ULA-based computing systems testing via FPGA prototyping with fault injection -- 7.Critical Energy Infrastructure Safety Assurance Strategies Considering Emergent Interaction Risk -- 8.Modelling an Optimal Capital Structure of the Telecommunication Company -- 9.Specification of constraints in a System-of-Systems configuration; Dariusz Caban and Tomasz Walkowiak -- 10.A Methodological Framework for Model-based Self-Management of Services and Components in Dependable Cyber-Physical Systems -- 11.Maintenance of wind turbine scheduling based on output power data and wind forecast -- 12.Deadlock detection in distributed systems using the IMDS formalism and Petri nets.- -- 13.Scheduling tasks in embedded systems based on NoC architecture using Simulated Annealing -- 14.Adaptation of Ant Colony Algorithm for CAD of complex systems with higher degree of dependability -- 15.Context-Aware Anomaly Detection in Embedded Systems;Fatemeh Ehsani-Besheli and Hamid R. …”

Complex Networks IX Proceedings of the 9th Conference on Complex Networks CompleNet 2018 /

Table of Contents: “…Part I: Theory of Complex Networks -- On the Eccentricity Function in Graphs -- Density Decompositions of Networks -- 188 Fast Streaming Small Graph Canonization -- Silhouette for the Evaluation of Community Structures in Multiplex Networks -- Jaccard Curvature: An Efficient Proxy for Ollivier-Ricci Curvature in Graphs -- Combinatorial Miller-Hagberg Algorithm for Randomization of Dense Networks -- Proposal of Strategic Link Addition for Improving the Robustness of Multiplex Networks -- Part II: Graph Embeddings -- Embedding-Centrality: Generic Centrality Computation Using Neural Networks -- Fast Sequence Based Embedding with Diffusion Graphs -- Semi-supervised Graph Embedding Approach to Dynamic Link Prediction -- Modularity Optimization as a Training Criterion for Graph Neural Networks -- Part II: Network Dynamics -- Outer synchronization for General Weighted Complex Dynamical Networks Considering Incomplete Measurements of Transmitted Information -- Diffusive Phenomena in Dynamic Networks: A Data-driven Study -- Fractal Analyses of Networks of Integrate-and-Fire Stochastic Spiking Neurons -- Part IV: Network Science Applications -- Cultivating Tipping Points: Network Science in Teaching -- Terrorist Network Analyzed with an Influence Spreading Model -- Author Attribution using Network Motifs -- Complex Networks Reveal a Glottochronological Classification of Natural Languages -- A Percolation-based Thresholding Method with Applications in Functional Connectivity Analysis -- Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams -- Router Level Topologies of Autonomous Systems -- Part V: Human Behavior and Social Networks -- Social Influence (Deep) Learning for Human Behavior Prediction -- Inspiration, Captivation, and Misdirection: Emergent Properties in Networks of Online Navigation -- Are Crisis Platforms Supporting Citizen Participation? …”

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Intelligent Engineering Informatics Proceedings of the 6th International Conference on FICTA /

Table of Contents: “…Application of Soft Computing in Crop Management -- 66. A Hybrid Shadow Removal Algorithm for Vehicle Classification in Traffic Surveillance System -- 67. …”

Information and Decision Sciences Proceedings of the 6th International Conference on FICTA /

Uncertainty in Complex Networked Systems In Honor of Roberto Tempo /

Testing and Tuning Market Trading Systems Algorithms in C++ / by Masters, Timothy

Soft Computing Applications

Soft Computing: Theories and Applications Proceedings of SoCTA 2016, Volume 1 /

Intelligent Distributed Computing XII

Soft Computing: Theories and Applications Proceedings of SoCTA 2016, Volume 2 /

Silicon Photonics & High Performance Computing Proceedings of CSI 2015 /

Table of Contents: “…Tackling Supply Chain Management Through High Performance Computing: Opportunities and Challenges -- Energy Theft Identification in Smart Grid -- Voltage Stability Analysis for Planning and Operation of Power System -- Application of Distributed Static Series Compensator for Improvement of Power System Stability -- A Novel Transmission Power Efficient Routing in Cognitive Radio Networks Using Game Theory -- Study of Effect of Strain, Quantum Well Width and Temperature on Optical Gain in Nano-Heterostructures -- A Survey on Scheduling Algorithms for Parallel and Distributed Systems -- Analysis of On Chip Optical Source Vertical Cavity Surface Emitting Laser (VCSEL) -- Photonic Crystal Based Sensor for DNA Analysis of Cancer Detection -- Real Time QoS Performance Analysis for Multimedia Traffic in an Optical Network -- An Optimized Design of Complex Multiply-Accumulate (MAC) Unit in Quantum Dot Cellular Automata (QCA) -- Modification of L2 Learning Switch Code for Firewall Functionality in POX Controller -- Estimation Procedure of Improved High Resolution DOA of Coherent Signal Source for Underwater Applications with Existing Techniques -- Finite Element Analysis of Fiber Optic Concentric Composite Mandrel Hydrophone for Underwater Condition -- A Simulation Study of Design Parameter for Quantum Dot Based Solar Cells.…”

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Table of Contents: “…Content -- -- Part(1) Swarm intelligence and optimzation -- A Hybrid Grey Wolf-Bat Algorithm for Global Optimization -- Fractional Order Sliding Mode PID Controller/Observer for Continuous Nonlinear Switched Systems with PSO Parameter Tuning -- Modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine -- Pareto based Bat Algorithm for Multi Objectives Multiple Constraints Optimization in GMPLS Networks -- Fish Image Segmentation using Salp Swarm Algorithm -- Swarming behaviors of chicken for predicting posts on Facebook branding pages -- Enhancing AGDE algorithm using population size reduction for global numerical optimization -- Simulated Annealing based Quantum Inspired Automatic Clustering Technique -- Hybrid grasshopper optimization algorithm and support vector machines for automatic seizure detection in EEG Signals -- A Novel Genetic Algorithm Based k-means Algorithm for Cluster Analysis -- Pairwise Global Sequence Alignment using Sine-Cosine Optimization Algorithm -- An automated fish species identification system based on crow search algorithm -- Part(2) Fuzzy Logic and applications -- Design and implementation of Fuzzy PID controller into Multi agent Smart Library System Prototype -- Fuzzy Logic controller with color vision system tracking for mobile manipulator robot -- Interactive Fuzzy Cellular Automata for Fast Person Re-Identification -- Decision Support System for Determination of Forces Applied in Orthodontic based on Fuzzy Logic -- Part (3) Advanced Machine Learning and Applications -- Behaviorally-Based Textual Similarity Engine for Matching Job-Seekers with Jobs -- Machine Learning: A Convergence of Emerging Technologies in Computing -- Discrimination of Satellite Signals from Opencast Mining of Mineral Ores of Hematite and Uranium using Digital Image Processing and Geostatistical Algorithms -- Detecting Cross-Site Scripting Attacks using Machine Learning -- Text Mining Approach to Extract Associations between Obesity and Arabic Herbal Plants -- A Reinforcement Learning-based Adaptive Learning System -- Performance Evaluation of SVM-Based Amazighe Named Entity Recognition -- Trained Neural Networks Ensembles Weight Connections Analysis -- An Empirical Analysis of User Behavior for P2P IPTV Workloads -- Intelligent Decision Framework to Explore And control Infection Of Hepatitis C Virus -- Supervised Rainfall Learning Model using Machine Learning Algorithms -- Reducing Stage Weight Estimation Error of Slow Task Detection in MapReduce Scheduling -- Analysis of Complete-Link Clustering for Identifying Multi-attributes Software Quality Data -- Student Profile in E-learning Environment Based on Two-Dimensional Ontologies -- Comparative Sentiment Analysis on a Set of Movie Reviews using Deep Learning Approach -- Medical Equipment Failure Rate Analysis Using Supervised Machine Learning -- Part(4) Big data and classification -- Big-Data Aggregating, Linking, Integrating and Representing using Semantic Web Technologies -- Computer Aided Diagnostic System for Automatic Detection of Brain Tumor through MRI Using Clustering Based Segmentation Technique and SVM Classifier -- Feature selection using Genetic algorithm for big data -- Prediction of Liver Diseases Based on Machine Learning Technique for Big Data -- Stance Detection in Tweets Using a Majority Vote Classifier -- A Comparative Study of Classification Methods for Flash Memory Error Rate Prediction -- Opinion extraction and classification of real time YouTube cooking recipes comments -- A Framework for Big Data Analysis in Smart Cities -- Performance Enhancement of Distributed Clustering for Big Data Analytics -- Open Circuit Fault Diagnosis of Cascaded H-Bridge MLI using k-NN Classifier based on PPCA -- Improved Production Key Performance Indicators (KPI's) Using Intelligent-Manufacturing Execution Systems (I-MES) -- Improving Land-Cover and Crop-Types Classification of Sentinel-2 Satellite Images -- GPU-based CAPSO with N-Dimension Particles -- Machine Learning and Big Data Processing: A Technological Perspective and Review -- Harnessing the power of Big Data in Science -- Building Online Social Network Dataset for Arabic Text Classification -- Breast Cancer Detection and Classification using Thermography: A Review -- An Optimized K-Nearest Neighbor Algorithm for Extending Wireless Sensor Network Lifetime -- Efficient Sentiment Analysis Approach Using Feature Selection and Classifier Ensemble -- Part(5) Intelligent Systems and Applications -- Development of an Ontology Based Solution for Energy Saving Through a Smart Home in the City of Adrar in Algeria -- Embeddings of Categorical Variables for Sequential Data in Fraud Context -- Hybrid Information Filtering Engine for Personalized Job Recommender System -- Behaviorally-Based Textual Similarity Engine for Matching Job-Seekers with Jobs -- Adaptive Task Scheduling on Multicore Processors -- PFastNCA: Parallel Fast Network Component Analysis for gene regulatory network -- Robots That Can Mix Serious With Fun -- Dialect versus MSA Sentiment Analysis -- Energy Aware Optimized Hierarchical Routing Technique for Wireless Sensor Networks -- Multi-filter Score-level Fusion for Fingerprint Verification -- Color Image Segmentation of Fishes with Complex Background in Water -- Analysis of Credit Risk Prediction using ARSkNN -- Dental Age Estimation in East Asian Population with Least Squares Regression -- Text Mining Approach to Analyse Stock Market Movement -- Stock Market Real Time Recommender Model Using Apache Spark Framework -- Patient Fingerprint Minutiae based Medical Image Watermarking and Adaptive Integrity -- Toward a Secure and Robust Medical Image Watermarking in Untrusted Environment -- Gray matter volume abnormalities in the reward system in first-episode patients with major depressive disorder .…”

Distributed Autonomous Robotic Systems The 13th International Symposium /

Targeted Learning in Data Science Causal Inference for Complex Longitudinal Studies / by van der Laan, Mark J.

Artificial Intelligence in Renewable Energetic Systems Smart Sustainable Energy Systems /

Monte Carlo and Quasi-Monte Carlo Methods MCQMC 2016, Stanford, CA, August 14-19 /

Table of Contents: “…Sloan, Combining Sparse Grids, Multilevel MC and QMC for Elliptic PDEs with Random Coefficients -- Hiroshi Haramoto and Makoto Matsumoto, A Method to Compute an Appropriate Sample Size of a Two-Level Test for the NIST Test Suite -- Stefan Heinrich, Lower Complexity Bounds for Parametric Stochastic Itoˆ Integration -- Lukas Herrmann and Christoph Schwab, QMC Algorithms with Product Weights for Lognormal-Parametric, Elliptic PDEs -- Masatake Hirao, QMC Designs and Determinantal Point Processes -- Adam W. …”

Process Control Theory and Applications / by Corriou, Jean-Pierre

Numerical Methods for Optimal Control Problems

Time Series Analysis and Forecasting Selected Contributions from ITISE 2017 /