10th International Conference on Soft Computing Models in Industrial and Environmental Applications, ?lvaro Herrero; Javier Sedano; Bruno Baruque; H?ct
Описание: Session: Fuzzy Systems Application Of Fuzzy Means Clustering For Polymer Data Mining For Making Saw Electronic Nose.- Quantitative Identification Of Volatile Organics By Saw Sensor Transients‒ Comparative Performance Analysis Of Fuzzy Inference And Partial-Least-Square-Regression Methods.- Effective Routing Protocol In Cognitive Radio Ad Hoc Network Using Fuzzy-Based Reliable Communication Neighbor Node Selection.- A Self-Tuning Fuzzy Pi Controller For Pure Integrating Processes.- Implementing Fuzziness In The Pattern Recognition Process For Improving The Classification Of The Patterns Being Recognised.- Fuzzy Self-Tuning Of Conventional Pid Controller For High-Order Processes.- Design Of Fuzzy Logic Power System Stabilizer In Multi-Machine Power System.- A Fuzzy C Mean Clustering Algorithm For Automated Segmentation Of Brain Mri Fuzzy Type - Ahead Keyword Search In Rdf Data.- Human Emotion Classification Using Fuzzy And Pca Approach.- SESSION: MACHINE LEARNING AND ANN Application Of Artificial Neural Networks And Rough Set Theory For The Analysis Of Various Medical Problems And Nephritis Disease Diagnosis.- Optimisation Using Levenberg-Marquardt Algorithm Of Neural Networks For Iris Neural Networks - A Case Study In Gene Identification.- Breast Cancer Diagnosis: An Intelligent Detection System Using Wavelet Neural Network.- Efficient Umts Location Update And Management Based On Wavelet Neural Networks.- Discrimination Between Alzheimer's Disease, Mild Cognitive Impairment And Normal Aging Using Ann Based Mr Brain Image Segmentation.- Modified Mean Square Error Algorithm With Reduced Cost Of Training And Simulation Time For Character Recognition In Back Propagation Neural Network.- A Novel Approach for Odia Part of Speech Tagging using Artificial Neural Network.- Fractional Fourier Transform Based Features For Musical Instrument Recognition Using Machine Learning Techniques Longitudinal Evaluation Of Structural Changes In Frontotemporal Dementia Using Artificial Neural Networks Content Based Image Retrieval Using Machine Learning Approach.- Hand Gesture Detection And Recognition Using Affine-Shift, Bag-Of-Features And Extreme Learning Machine Techniques.- Comparative Study Of Machine Learning Algorithm For Intrusion Detection System.- SESSION: Evolutionary Computation Techniques And Its Applications.- Grammatical Swarm Based-Adaptable Velocity Update Equations In Particle Swarm Optimizer Performance Of Teaching Learning Based Optimization Algorithm With Various Teaching Factor Values For Solving Optimization Problems.- Efficient Clustering Of Dataset Based On Differential Evolution.- Numerical Optimization Of Novel Functions Using Vtlbo Algorithm Sensitivity Analysis Of Load-Frequency Control Of Power System Using Gravitational Search Algorithm.- Privacy Preserving Distributed Data Mining With Evolutionary Computing Boundary Searching Genetic Algorithm: A Multi-Objective Approach For Constrained Problem.- Security Analysis Of Digital Stegno Images Using Genetic Algorithm.- SESSION: Applications Of Intelligent Techniques To Computer Networks, Security And Distributed Systems.- Probability And Priority Based Routing Approach For Opportunistic Networks.- D &Pmv: New Approach For Detection And Prevention Of Misbehave/Malicious Vehicles From Vanet On The Use Of Mfcc Feature Vector Clustering For Efficient Text Dependent Speaker Recognition.- A Survey On Power Aware Routing Protocols For Mobile Ad-Hoc Network.- A New Trust Based Secure Routing Scheme In Manet.- Iwdra: An Intelligent Water Drop Based Qos-Aware Routing Algorithm For Manets.- Design & Performance Analysis Of D-Statcom For Non-Linear Load composite Compensation.- Aodv Based Black-Hole Attack Mitigation In Manet.- Path Planning Strategy For Mobile Robot Navigation Using Manfis Controller Speech Emotion Recognition Using Regularized Discriminant Analysis.- An Extensive Selection Of Features As Combinations For Automatic Text Categorization.- Perfor
Описание: This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at IBICA2014, the 5th International Conference on Innovations in Bio-inspired Computing and Applications.
Описание: This volume contains papers mainly focused on Data Warehousing and Mining, Machine Learning, Mobile and Ubiquitous Computing, AI, E-commerce & Distributed Computing and Soft Computing, Evolutionary Computing, Bio-inspired Computing and its Applications.
Описание: This volume contains 87 papers presented at FICTA 2014: Third International Conference on Frontiers in Intelligent Computing: Theory and Applications.
Описание: The proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications 2015 (FICTA 2015) serves as the knowledge centre not only for scientists and researchers in the field of intelligent computing but also for students of post-graduate level in various engineering disciplines.
Описание: Constitutes the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008. This book includes such topics as robot control, cognitive robotics, rehabilitation robotics, health care and artificial limb, robot learning, and robot vision.
Описание: This two volume set LNAI 8102 and LNAI 8103 constitutes the refereed proceedings of the 6th International Conference on Intelligent Robotics and Applications, ICIRA 2013, held in Busan, South Korea, in September 2013.
Описание: This volume of Advances in Intelligent and Soft Computing contains accepted - pers presented at SOCO 2010 held in the beautiful and historic city of Guimaraes, Portugal, June 2010.
Описание: The book is a collection of high quality peer reviewed research papers presented in Seventh International Conference on Bio-Inspired Computing (BIC-TA 2012) held at ABV-IIITM Gwalior, India.
Описание: Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘16 hopes to contribute to this effort promoting this fruitful interaction. PACBB'16 technical program included 21 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly promote the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work being developed by each of the participants.
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