Intelligent Systems and Applications: Extended and Selected Results from the Sai Intelligent Systems Conference (Intellisys) 2015

A Hybrid Intelligent Approach for Metal-Loss Defect Depth Prediction in Oil and Gas Pipelines.- Predicting Financial Time Series Data Using Hybrid Model.- Diagnosis System for Predicting Bladder Cancer Recurrence using Association Rules and Decision Trees.- An Unsupervised Text-Mining Approach and a Hybrid Methodology to Improve Early Warnings in Construction Project Management.- Quantitative Assessment of Anomaly Detection Algorithms in Annotated Datasets from the Maritime Domain.- Using Fuzzy PROMETHEE to Select Countries for Developmental Aid.- Self-Reconfiguring Robotic Framework Using Fuzzy and Ontological Decision Making.- Design and Optimization of Permanent Magnet Based Adhesion Module for Robots Climbing on Reinforced Concrete Surfaces.- Implementation of PID, Bang-bang and Backstepping con-trollers on 3D Printed Ambidextrous Robot Hand.- Multiple Robots Task Allocation for Cleaning and Delivery.- Optimal Tuning of Multivariable Centralized Fractional Order PID Controller using Bat Optimization and Harmony Search Algorithms for Two Interacting Conical Tank Process.- Entity Configuration and Context-Aware reasoNer (CAN) towards Enabling an Internet of Things Controller.- Track-Based Forecasting of Pedestrian Behavior by Polynomial Approximation and Multilayer Perceptrons.- Assembly Assisted by Augmented Reality (A3R).- Maximising Overlap Score in DNA Sequence Assembly Problem by Stochastic Diffusion Search.- A Comparative Analysis of Detecting Symmetries in Toroidal Topology.- Power Quality Enhancement in Off-Grid Hybrid Renewable Energy Systems Using Type-2 Fuzzy Control of Shunt Active Filter.- Fast Intra Mode Decision for HEVC.- WSN Efficient Data Management and Intelligent Communication for Load Balancing Based on Khalimsky Topology and Mobile Agents.- Indirect Method of Learning Weights Parameters of Intuitionistic Statement Networks.- Combined Data and Execution Flow Host Intrusion Detection using Machine Learning.

• Format: Hardcover
• Language: English
• ISBN: 3319333844
• ISBN13: 9783319333847
• Release Date: July 2016
• Publisher: Springer
• Length: 450 Pages
• Weight: 1.81 lbs.
• Dimensions: 1.0" x 6.1" x 9.2"