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This book is a collection of extended chaptersfrom the selected papers that were published in the proceedings of Science andInformation (SAI) Conference 2015. It contains twenty-one chapters in the fieldof Computational Intelligence, which received highly recommended feedbackduring SAI Conference 2015 review process.
APlantar Inclinometer Based Approach to Fall Detection in Open Environments.- UsingFuzzy Evidential Reasoning for Multiple Assessment Fusion inSpondylarthropathic Patient Self-Management.- RescueSystem with Sensor Network for Vital Sign Monitoring and Rescue Simulations byTaking into Account Triage with Measured Vital Signs.- An Approach for Detecting Traffic Events using Social Media.- Applying Supervised & Unsupervised Learning Techniques onDental Patients’ Records.- Technologyin Primary Schools: Teachers’ Perspective towards the Use of Mobile Technologyin Children Education.- Designing, Implementing andTesting an Automated Trading Strategy Based on Dynamic Bayesian Networks, theLimit Order Book Information and the Random Entry Protocol.- AnAdaptive Multi Agent Service Discovery for Peer to Peer Cloud Services.- Modellingand Detection of User Activity Patterns for Energy Saving in Buildings.- e QoS using PSO in Fixed WiMAXNetworks.- Colour-Preserving Contrast Enhancement Algorithm for Images.- Sequential Pattern Discovery forWeather Prediction Problem.- A Class-based Strategy toUser Behavior Modeling in Recommender Systems.- Feature Correspondence in Low Quality CCTV Videos.- Automatic Detection and Severity Assessment of Crop Diseasesusing Image Pattern Recognition.- Image Complexity and Visual Working Memory Capacity.- ImmersiveBrain Entrainment in Virtual Worlds: Actualizing Meditative States.- A Real-Time Stereo Vision Based Obstacle Detection.- Depth and Thermal Image Fusion for Human Detection withOcclusion Handling under Poor Illumination from Mobile Robot.- Exploiting the Retinal Vascular Geometry in Identifying theProgression to Diabetic Retinopathy Using Penalized Logistic Regression andRandom Forests.- A New Method for Improving the Detection Capability of RADARin the Presence ofNoise.